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Pedagogical agents are virtual characters that instructional designers include in learning environments to help students learn. Research in the area has flourished for thirty years, yet there are still critical questions about the efficacy of pedagogical agents for influencing learning and affect. As such, we conducted an umbrella review to synthesize the field. We located 17 systematic reviews or meta-analyses focused on the use of pedagogical agents in educational settings. We found that agents can have small positive effects on learning, motivation, and other affective variables. However, we still cannot say how one should design a pedagogical agent for any given educational context. We highlight the limitations of existing theory in the area, as well as existing reviews from a practical and methodological perspective, and highlight productive areas for future research.

This study explores the correlation between technology utilization and language acquisition while analyzing the impact of moderating variables on this relation. Our meta-analysis approach analyzes data from 43 extracts out of 19 primary studies published between 2012 and 2021. Our data analysis employs a random-effect model utilizing a significance level of [Alpha] = 0.05. Additionally, the authors examine four moderating variables: level of education, location of research, proficiency in language, and year of publication. Technology-based language acquisition outperforms traditional methods, indicating a significant and moderate impact on the learning process. This study enhances comprehension of the efficacy of technology in language acquisition by identifying various factors, such as the geographical location of research, methods of assessing language proficiency, and technology type employed. However, there is insufficient evidence to support the notion that educational level or sample size significantly impact technology-based language acquisition. This meta-analysis highlights the importance of considering nuanced factors when integrating technology into language learning. The findings emphasize the possibility of technology to transform methods of acquiring language and urge additional investigation into customized strategies that optimize its advantages.

This systematic literature review (SLR) aimed to investigate the potential of digital online game-based learning (DOGBL) to enhance motivation in English as a foreign language (EFL). Online gaming has grown in popularity among students, opening up the possibility of using games as powerful instructional resources. Academic achievement depends on motivation, and this study, led by self-determination theory (SDT), explored how external rules, like rewards and recognition, could increase motivation in EFL utilizing DOGBL. The study used the SLR method, examining databases and choosing articles based on predetermined criteria. The chosen publications were examined in-depth, and a preferred reporting items for systematic reviews and meta-analyses (PRISMA) diagram was employed for analysis. For results, DOGBL could enhance teaching EFL by providing flexible and interesting learning environments. Key elements in motivating in DOGBL included game design, personalization, social engagement, curricular integration, and instructor assistance. As a promising method to improve EFL instruction, game-based learning, especially DOGBL, saw considerable developments between 2018 and 2023. Thus, these groundbreaking techniques transformed the way people learn English vocabulary and provided a fun and engaging way to learn the language. For educators and students, the potential for DOGBL to change EFL education is still exciting as technology develops.

Productive peer interactions are often characterized by productive peer talk moves. This study aims to synthesize an empirical list of productive peer talk moves from existing studies, quantify the efficacy of talk moves in promoting peer interaction and collaboration outcomes, and understand the preconditions of talk moves benefits in authentic settings. A total of 24 empirical studies were included in the systematic review, where 17 of the experimental studies (k = 39, n = 2636) were analyzed in meta-synthesis. The study offers three main contributions: (1) an ordered list of 24 productive peer talk moves extracted from a range of empirical studies; (2) the aggregate sizes of the positive effects that productive peer talk moves have on interaction quality (Hedges' g = 1.27), domain-specific knowledge (g = 0.96), domain-general knowledge (g = 1.02), and solution quality (g = 0.70); and (3) common explanations for the malfunction of productive peer talk moves in existing interventions. This review confirms the robust positive effects of productive peer talk moves on peer interaction, learning, and problem-solving, and may inform future research on the analysis of peer interaction or the design of peer talk scaffolds.

Autism is associated with significantly higher rates of internalizing and externalizing disorders compared to neurotypical (NT) individuals. Emotion dysregulation (ED) is prevalent in autistic individuals and has been proposed to underlie both internalizing disorders and behavioral challenges in autism. This study sought to use a meta-analytic approach to examine the magnitude of ED severity in autistic samples compared to NT and other clinical (OC) samples. Following a review of the literature, a total of 35 studies were included in the analyses. In general, when comparing autistic to non-autistic individuals, findings suggest a medium magnitude of difference in ED severity between autistic and comparison groups overall. Subgroup analyses indicate that autistic individuals experience significantly higher ED severity when compared to NT peers. However, when compared to OC peers, the effect is small, suggesting the severity of ED may be more similar between OC and autistic groups. Moderators were also explored, including autistic traits, age, and sex composition. These findings provide integral information about the severity of ED in autistic populations compared to other non-autistic populations, assisting in further clarifying the presence of mental health challenges in autistic youth.

Digital ecosystems are a set of interconnected elements that enable an integrated and seamless digital experience. In education, the use of Artificial Intelligence (AI) has great potential to improve teaching and learning. However, for the expectations placed on the educational use of AI to be met, it is necessary to develop adequate digital ecosystems that allow its effective implementation. Therefore, it is of great importance to deepen the understanding of these ecosystems and their key elements for such implementation. For this purpose, a systematic review of the literature on this subject was conducted, which included the analysis of 76 articles published in peer-reviewed journals. The main results of the review highlight the current focus of research in that matter, which relates digital ecosystems and artificial intelligence around the personalization of learning. Also, some aspects related to this relationship are analyzed from four categories: networks, applications, services, and users.

In the information and technology era, instructional video technologies have become popular teaching approaches and attracted academic interest. A growing body of literature has investigated various instructional video technologies and identified influencing factors on their effectiveness. However, the findings on the effectiveness of instructional video technologies are inconsistent. This study conducts a meta-analysis based on 50 included studies, evaluating the effectiveness of different instructional video technologies, effectiveness indicators, educational levels, and countries. This study examines three subgroups of instructional video technologies, finding that in-class video clips (d = 0.688, 95% CI = [0.488, 0.888]) enhance learning effectiveness more significantly than outside-class video clips (d = -0.144, 95% CI = [-0.634, 0.346]) and video games (d = 0.879, 95% CI = [-0.038, 1.796]). Instructional video technologies enhance learning motivations (d = 0.583, 95% CI = [0.123, 1.044]) and practical skill learning (d = 0.493, 95% CI = [0.010, 0.975]) more significantly than knowledge acquisition (d = 0.477, 95% CI = [0.273, 0.682]). Students in primary and middle schools (d = 0.640, 95% CI = [0.317, 0.963]) and adults (d = 0.501, 95% CI = [0.146, 0.856]) benefit from instructional video technologies more significantly than undergraduates (d = 0.438, 95% CI = [0.147, 0.728]). The effectiveness of instructional video technologies varies across countries. The findings may shed light on future study directions on instructional video technologies and promote the designs and applications of emerging video technologies in educational contexts.

Despite stakeholders' desire for organizations to participate in corporate social responsibility (CSR) activities, some organizations do not invest in CSR due to uncertainty around the value it provides to performance. This research investigates the effect size of the relationship between CSR and performance via a meta-analysis of 17 articles. A series of performance-indicating groups emerged and effect sizes were calculated using the Comprehensive Meta-Analysis software. These groups include in-role performance, extra-role performance, employees' affective attitudes towards organizations, and organizational-level outputs. Results suggest that CSR has a large effect on performance across a range of contexts. Implications for career counseling are discussed.

This study aimed to evaluate the effects of intervention using graphic organizers on the cognitive and affective improvement of students with intellectual disability (ID), with learning disability (LD), without disability, and at-risk learners in Korea. A total of 49 peer-reviewed journals and dissertations for the last 20 years were included for conducting this meta-analysis. The overall effect size of intervention using a graphic organizer was 0.78 (d) (95% CI [0.63, 0.94], [tau superscript 2]= 0.28) using a random-effects model. In order of strongest to weakest effects, at-risk learners (d = 1.38), students with LD (d = 1.15), students with ID (d = 0.76), and students without disability (d = 0.52). Among student variables, there is no statistically significant difference by school level, but by school type. Among intervention variables, instruction in math (d = 1.43) and Korean (d = 0.96); cognitive mapping (d = 1.05); 1-19 times, 1-9 weeks, 3-5 times per week; and small-size groups were the most effective intervention conditions. While several variables showed significant subgroup differences, meta-regression analyses revealed that only group size and frequency were significant moderators after controlling for other factors. In summary, intervention using a graphic organizer was more effective for students with disability and at-risk students than it was for students without disability.

The purpose of these meta-analyses was to examine the effectiveness of home-based interventions aimed at improving literacy and mathematics outcomes for preschool-age children (mean age = 4.29 years; range = 3.07-5.32 years) and to develop an understanding of what home-based interventions work in different contexts. A total of 32 studies met the inclusion criteria for these meta-analyses; 30 studies included sufficient data for inclusion in the meta-analyses, and two studies did not contain sufficient quantitative data and instead were summarized in a narrative review. The average weighted effect size for interventions with literacy (d = 0.10; CI = [-0.17, 0.38]; n = 27) and mathematical outcomes (d = 0.18; CI = [-1.62, 1.99]; n = 8) were minimal. Hence, these meta-analyses showed that home-based interventions had minimal effect on literacy and mathematical outcomes for preschoolers. There were more home-based interventions with literacy (N = 28) than mathematical outcomes (N = 10). The heterogeneity showed no variability, indicating that all intervention impacted on children's outcomes to similar effect. Overall, many interventions were relatively light touch (i.e., time spent engaging in parent training), and the engagement requirement of the parent in some studies was minimal (e.g., reading a short text message). More in-depth research into the components of interventions (e.g., focus, training approaches) and evaluation of interventions before they are implemented is essential for ensuring that early interventions will be effective and lead to the development of the intended skills.

Childhood and adolescence are pivotal developmental stages for psychological health. An understanding of psychological mechanisms related to well-being is important for promoting positive life outcomes for youth. Research generally shows that the basic psychological need for autonomy is significantly associated with well-being. To examine the magnitude and sources of variation in this relationship, we conducted a meta-analysis of 90 reports to analyze the average effect of autonomy need satisfaction (ANS) and frustration (ANF) on indicators of psychological well- and ill-being for K-12 (Kindergarten to 12th grade) youth. Results indicated that ANS was positively associated with psychological well-being and negatively associated with psychological ill-being among youth. Further, ANF was negatively associated with psychological well-being and positively associated with psychological ill-being. Moderator analyses indicated that the association between ANS and well-being was stronger for studies conducted with children and adolescents in East Asian countries compared to studies conducted in the USA, Canada, or Northern Europe when controlling for publication status and measurement reliability. Results also showed that the average correlation between ANS and well-being was stronger for studies located in more collectivistic countries compared to individualistic countries when controlling for publication status and measurement reliability. The relationship between ANS and ill-being was stronger for studies conducted in the USA and Canada compared to East Asian and European contexts. Together, results suggest that autonomy satisfaction is related to the well- and ill-being of youth across cultural contexts, but that there is cultural variation in the association between experiences of autonomy and well-being.

This systematic meta-analytic review investigated the relations between achievement goals and internalizing symptoms and disorders, namely, anxiety and depression. The number of samples for each focal relationship ranged from 3 to 36. The results indicated significant effect sizes for the relations between mastery-approach goals and anxiety (r = - 0.10) and depression (r = - 0.18), as well as performance-avoidance goals and anxiety (r = 0.25) and depression (r = 0.16). A significant effect size was also found for the relation between performance-approach goals and anxiety (r = 0.15), and a non-significant effect size was observed for the relation between performance-approach goals and depression (r = 0.05). Mastery-avoidance goals were not significantly related to either anxiety (r = 0.08) or depression (r = - 0.13). Several moderators representing the conceptualization of achievement goals (e.g., theoretical model), sample characteristics (e.g., education level), and methodology- and publication-based characteristics (e.g., year of publication) were significant, and suggested avenues for future research. These findings herein have implications for intervention programs that could focus on reducing the links between achievement goals and internalizing problems.

Background: Although gender inequality in education is gaining increasing attention, female underrepresentation remains pervasive in STEM fields. Many studies have applied various interventions to narrow the gender gap in STEM education. Objectives: In this study, we conducted a systematic meta-analysis to examine the effectiveness of various interventions for gender equality in STEM education and tested the influence of moderator variables. Methods: Ten databases--ERIC, IEEE, JSTOR, ProQuest-Education, SAGE Journals, Scopus, Springer Link, Taylor & Francis, Web of Science, and Wiley Online Library--and seven high-quality journals in related fields were selected as literature resources. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) process was used to identify eligible articles for the random-effects meta-analysis. Results and Conclusions: The overall effect size (Hedges' g) was 0.434, indicating that the interventions promoting gender equality in STEM education had a near-medium positive effect. There were significant differences by the type of intervention, but not by the type of intervention outcome. The results of the moderator analysis showed a significant difference in moderator variables, including country, educational level, form of experiment, intervention level, and different measurement methods, whereas there was no significant difference in the moderator variables, including economic development level and sample size. Implications: This study examined the effectiveness of gender equality interventions and the impact on it of different types of intervention, intervention outcomes, and moderator variables. These results have implications for the design of gender equality interventions in STEM education.

Meta-analyses of educational research findings frequently involve statistically dependent effect size estimates. Meta-analysts have often addressed dependence issues using ad hoc approaches that involve modifying the data to conform to the assumptions of models for independent effect size estimates, such as by aggregating estimates to obtain one summary estimate per study, conducting separate analyses of distinct subgroups of estimates, or combinations thereof. We show that these ad hoc approaches correspond exactly to certain multivariate models for dependent effect sizes. Specifically, we describe classes of multivariate random effects models that have likelihoods equivalent to those of models for effect sizes that have been averaged by study, classified into subgroups, or both. The equivalencies also apply to robust variance estimation methods.

To investigate the association between exposure to anesthesia during three periods of pregnancy, delivery, and childhood and autism spectrum disorder (ASD). PubMed, Scopus, Web of Science, Embase, Google Scholar, PsycArticles, and PsycINFO were searched from the date of database inception to 1 December 2022. Studies reported the association between exposure to anesthesia during pregnancy, delivery, and childhood and ASD were included. Extracted variables included hazard ratio (HR), relative risk or odds ratio, standard error, and 95% confidence interval (CI). Effect estimates were pooled using random-effects meta-analysis. In total, 16 studies including 8,156,608 individuals were included in the meta-analysis. Labor epidural anesthesia during delivery was associated with ASD in the general population (adjusted HR = 1.16, 95% CI, 1.06-1.28) but not in the sibling population (adjusted HR = 1.06, 95% CI, 0.98-1.15). Other anesthesia during delivery was not associated with ASD (general population: adjusted HR = 1.08, 95% CI, 0.99-1.17; sibling population: adjusted HR = 1.20, 95% CI, 0.81-1.79). Three studies suggested that exposure to anesthesia during pregnancy was associated with ASD in offspring (adjusted HR = 2.15, 95% CI, 1.32-3.48). There was no significant association between exposure to general anesthesia during childhood and ASD (adjusted HR = 1.02, 95% CI, 0.60-1.72). This meta-analysis did not confirm the association between exposure to anesthesia during labour and ASD. Previous observational studies used the neurotoxicity of anesthesia to biologically explain significant associations, but in fact different controls for confounding factors led to differences in associations. The evidence for pregnancy and childhood was limited given the small number of studies in these periods.

This study aims to ascertain the impact of the Active learning method on high-order thinking skills (HOTS) within the realm of Islamic education. Our primary contribution is the comprehensive meta-analysis of various preliminary and university educational studies. Using RStudio, we analyzed the differences in effect sizes, variations, and groups among studies. The findings indicate that the Active learning method significantly enhances HOTS, with the mixed learning method showing the most pronounced effect. We adopted a systematic approach, examining diverse learning methods like genre-based learning and blended learning model. Our research design entailed a meticulous meta-analysis of pre-existing literature rather than primary experimental or survey-based methods. However, we identified high heterogeneity in effect sizes as a limitation, suggesting the need for more nuanced studies in varied contexts. This research underscores educators' need to adapt learning strategies suited for specific educational levels, pointing towards a brighter horizon for tailored pedagogical interventions.

Learning mathematics in an online learning environment has unique challenges. Success in an online mathematics learning environment depends on a student's self-regulating ability. This systematic review provides the scholarly community with a synthesis of current self-regulated learning (SRL) strategies of students in the mathematics online learning environment. We looked at research from 2014 to 2022 regarding the approaches, purposes, outcomes, and limitations of these studies. Our findings indicate that most of the studies focused on the effect of SRL on student achievement. The results reveal that 88.2% of the studies used a quantitative approach and 41.1% employed high-school students as study samples. In addition, most of the studies used questionnaires to collect data and indicated that their limitation was the narrow study context. We encourage learning institutions to integrate SRL strategies in mathematics online learning environments to improve the quality of education.

This investigation examines how Meta-Analysis Based Modified Unified Theory of Acceptance and Use of Technology (Meta-UTAUT) model factors affect English as a Foreign Language (EFL) education's adoption of Mobile-Assisted Language Learning (MALL). SmartPLS 3.0 software processed and analyzed data from 396 online survey participants. The findings show that attitude (ATT), performance expectation (PE), effort expectation (EE), perceived behavior control (PBC), social influence (SJ), and behavioral intention (BJ) influence actual usage behavior (UB) from high to low. This may indicate learners' views on MALL's importance and practicality in education. This research proposes strategies for educators to integrate this technology to improve educational quality.

Becoming one of six official United Nations languages, English proficiency has become a prominent requirement for students and professionals entering international education and/ or careers, as assessed through standardized English proficiency tests. English learners conducted varied procedures to pursue the minimum test score criteria, including joining an English test preparation program. This study investigates the effect of English test preparation as an intervention on EFL learners' English language proficiency performance by reviewing the effect sizes found by previous studies using meta-analysis of pre-post contrasts. A total of 20 selected studies, according to the criteria determined by researchers between 2018-2021 and conducted in various countries, were collected from Google Scholar sources and included in the research. English language proficiency performance, as indicated by their test scores, is independent of the language skills tested with a p-value of less than 0.05 (p-value = 0.00) and an average weighted effect (M) that appears to be 0.859. This research implies that adequate test preparation is essential for English language learners who wish to achieve the desired level of proficiency. Apart from the ability to write, speak, and read, the psychological aspects of students are also important to prepare before they take the intended test.

A considerable body of literature exists pertaining to realistic mathematics education (RME) and its correlation with mathematical literacy, with numerous studies demonstrating incongruent results. The principal objective of this meta-analysis is to systematically investigate the overarching influence of RME on mathematical literacy within the context of Indonesia. The collection of documents comprises a total of seventeen publications that were released between the years 2014 and 2023. The estimation methodologies utilized in this study were grounded on a random-effects model, and statistical computations were conducted utilizing the comprehensive meta-analysis (CMA) software in academic writing. The equation proffered by Hedges was employed for the quantification of effect magnitude. The outcomes of the investigation reveal that the implementation of RME learning yielded a noteworthy and advantageous impact (effect size = 1.031; p < 0.05) on the adeptness of students in the domain of mathematical literacy. Moreover, many moderating factors, including class capacity, educational level, geographical location, content of the Programme for International Student Assessment (PISA), and the combination of learning, did not significantly impact students' diverse mathematical literacy proficiency. This study proposes that mathematics educators should consider utilizing the RME as a means of improving students' proficiency in mathematical literacy.

Creating its own learner corpus, this research proposed to analyze and classify the transition markers used in solo presentation by 30 Thai engineering students based on Hyland (2019)'s Marker Categorization in Textual Metadiscourse. This research also aimed to identify and compare the quantities of individual transition markers among three groups of the selected 30 students (10 high, 10 mid, and 10 low users). The research employed both quantitative and qualitative method through SPSS, Transkriptor, and AntConc. The results showed that--and--was the top word utlized as a textual marker among all three groups while some other top transition markers ranked slightly differently among the groups. In addition to the search on the list of textual markers, the manual observation encountered other phrases acting as textual markers. The results indicated that users from average level can apply phrases as textual markers to communicate coherence instead of using traditional transition markers. Moreover, the "reminders", the act of reminding the listeners of previous content, manifested as a possible indicator of advanced proficiency users as the weak users were found to not produce any of this category. Thus, learners may improve their English-speaking skills if they are guided through the process of developing coherence in context using various categories of textual markers.

This study aims to generalize the reliability of the GAAIS, which is known to perform valid and reliable measurements, is frequently used in the literature, aims to measure one of today's popular topics, and is one of the first examples developed in the field. Within the meta-analytic reliability generalization study, moderator analyses were also conducted on some categorical and continuous variables. Cronbach's [alpha] values for the overall scale and the positive and negative subscales, and McDonald's [omega] coefficients for positive and negative subscales were generalized. Google Scholar, WOS, Taylor & Francis, Science Direct, and EBSCO databases were searched to obtain primary studies. As a result of the screening, 132 studies were found, and these studies were reviewed according to the inclusion criteria. Reliability coefficients obtained from 19 studies that met the criteria were included in the meta-analysis. While meta-analytic reliability generalization was performed according to the random effects model, moderator analyses were performed according to the mixed effect model based on both categorical variables and continuous variables. As a result of the research pooled, Cronbach's [alpha] was 0.881, 0.828, and 0.863 for total, the negative, and positive subscales respectively. Also, McDonald's [omega] was 0.873 and 0.923 for negative and positive subscales respectively. It was found that there were no significant differences between the reliability coefficients for all categorical variables. On the other hand, all continuous moderator variables (mean age, standard deviation age, and rate of female) had a significant effect.

This article presents a systematic review of the literature with the aim of providing an updated framework for the scientific production developed in the field of digital competence and inclusive education in Higher Education, as indexed in the Web of Science (WoS) and SCOPUS databases. Twenty-one scientific articles published between 2016-2023 were included and analyzed, with no temporal cohort established. The search matches yielded a first document of the topic of study in 2016 in the Social Sciences Citation Index. The results obtained on the conceptual structure of the analyzed documents were carried out through a multiple correspondence analysis (MCA) observing the existence of two dimensions composed of three clusters. Cluster one was composed of studies on digital competence, virtual learning environments, digital divide, and functional diversity, among others. Cluster two comprised studies carried out on digital tools and competencies, inclusive education, educational processes, and digital strategies; while cluster three was made up of educational inclusion related to interculturality and digital competence. Among its limitations, there were aspects related to the heterogeneity of the studies, which make it difficult to compare the data, and the sample and size of the study, which makes the results obtained and the generated data have a lower percentage of generalization compare to studies that use larger simples. This study has implications for researchers and Higher Education institutions interested in research on digital competence for inclusive education, with the possibilities of digital competence for inclusive education being established from the studied variables, allowing teachers to adapt and personalize learning to meet individual student needs. All of this is in line with the goals of the 2030 Agenda, concerning the empowerment of citizens and the digitization of public services to ensure the population's access to such services via the internet.

High-Variability Phonetic Training (HVPT) has demonstrated effectiveness in second language (L2) acquisition. This study utilizes a meta-analysis to explore the influence of high variability on learning L2 pronunciation and identifies the factors that moderate this impact. The studies were collected using a keyword search in the SCOPUS database. In total, our meta-analysis incorporated 18 primary studies that presented results obtained from experimental and control group designs, encompassing a total of 22 effect sizes. The results of our meta-analysis revealed that the overall effect size of HVPT on L2 pronunciation was medium (g = 0.77). Specifically, the effect size was large for consonant sounds and lexical tones, particularly pronounced when utilized by advanced learners. For beginners, the effect size was medium. The context in which the training was conducted also played a role, with a medium effect size observed when sentences were used. Additionally, the number of talkers involved in the study influenced the effect size, with a medium effect size found when 5 to 8 talkers were included. In other cases, the reported effect sizes were either small or non-significant.

The purpose of the present study was to examine the effect of individual and school average achievement on students' self-concept in science. The data of the last four Trends in International Mathematics and Science Study (TIMSS) cycles were used, and a two-stage individual data meta-analysis was conducted to examine the relationship between achievement and self-concept in science. In the first stage, multilevel structural equation modeling was performed for each dataset. Furthermore, the effect sizes were synthesized via meta-analysis with a three-level random-effect model. In addition, moderation analysis was conducted for the year, grade, and degree of stratification in countries. The results suggested a positive and significant effect of individual science achievement on the self-concept of students in science. On the other hand, the relation of the average school achievement was negative. The results were discussed by considering the big-fish-little-pond effect.

The use of mobile technology in physics education has become more prevalent, but more data about its effect on student academic performance needs to be collected. This meta-analysis examines the effects of mobile learning on student achievement in physics and any moderating factors. The study collected 36 primary studies from various scientific databases (Scopus, ERIC, DOAJ, Google Scholar) that met the inclusion criteria. The findings indicate that using mobile technology has a significant effect on student performance in physics compared to without mobile learning. Moderator analysis revealed differences in the effects of mobile learning on physics learning outcomes based on sample size, academic level, gender composition, learning media type, learning model type, learning outcome type, and measurement instrument type. However, no effect difference was observed in country status, publication year, sampling technique, and physics content. No publication bias was found in this study. Overall, the study suggests that mobile learning has a strong positive effect on student achievement in physics.

The ethnomathematics approach is considered effective on students' mathematics learning achievement. Integrating culture and mathematics can provide meaningful mathematics learning so that it makes it easier for students to understand mathematical concepts. However, previous research investigating the effectiveness of applying an ethnomathematics approach to mathematics learning achievement showed ambiguous results. Therefore, this study will test the effectiveness of the ethnomathematics approach to student achievement compared to conventional learning with a meta-analysis approach. This study analyzed 14 effect sizes from 11 primary studies published in national and international journals that met the inclusion criteria. Data collection uses the online database Google Scholar, Education Resources Information Center (ERIC), Directory of Open Access (DOAJ), Springer publishing, AIP Proceedings, IOP Sciences, and Elsevier. The results of the analysis using the random-effect approach obtained a combined effect size of (d=1.35; p<0.05). This value is included in the very large effect category. Therefore, it can be concluded that the use of the ethnomathematics approach has a significant effect on students' mathematics achievement when compared to conventional learning. The findings of this meta-analysis show the consistency of the publication of research results regarding the effectiveness of using the ethnomathematics approach to student achievement. This research can also be used as a basis for decision making by educators in improving the quality of learning mathematics in the classroom.

The aim of this study is to reveal the effect of cooperative learning method in science education on academic achievement with mixed-meta method. For this purpose, various national and international databases were searched, and among 81 articles and 37 theses covering the period between 2001 and 2022, 46 articles and 31 theses that included pre-test-post-test data and included the statistical information required for experimental or quasi-experimental analysis were preferred for meta-analysis. The effect size of 77 studies included in the analysis was found to be g = 1.070 and it was seen that the cooperative learning method in science education had a positive and large effect on academic achievement. On the other hand, as a result of the meta-thematic analysis, it was determined that the cooperative learning method increased academic achievement due to the meaningful and permanent realisation of learning. In addition, thanks to the activities in which the student plays a central role, it is understood that it develops positive attitudes towards the science course depending on the results such as making the course enjoyable and fun, making it popular and interesting; it is effective in gaining 21st century skills such as creativity, communication and cooperation, productivity and entrepreneurship. It is thought that examining the effects of cooperative learning method in science education with mixed-meta method will contribute to the literature by providing comprehensive results on the subject.

This research aims to analyze the results of studies conducted in Turkey on reasoning skills in mathematics teaching and to reveal what kind of trend there is in this field. Within the scope of this study, databases were searched with the keywords "reasoning"(muhakeme, akil yürütme) and "reasoning skill" (Muhakeme becerisi, akil yürütme becerisi), and the results were examined in accordance with the inclusion criteria regarding mathematics teaching. One hundred sixty-three studies were included. Each of the studies included in the meta-synthesis study was analyzed descriptively according to type, year, method, sample type and size, data collection tools, statistical analysis, learning field, keywords, reasoning type and purpose. In addition, the studies' results were content analyzed and tabulated by coding the differences and similarities between them with a holistic approach. It has been determined that studies on the learning fields in the mathematics curriculum are mostly carried out in the field of learning numbers and operations in the secondary school mathematics curriculum. When evaluated in terms of reasoning types, almost half of the studies were conducted on mathematical reasoning. It has been observed that after mathematical reasoning, the most focus is on proportional reasoning. When the aims of the studies included in the research were examined, it was determined that the most focused ones were "examining the factors affecting reasoning skills", "measurement of reasoning skills" and "the effect of teaching practices on reasoning skills". In the studies examined, it was seen that there were 33 teaching practices whose effects on reasoning skills were examined.

As the COVID-19 pandemic fades into the background, higher education institutions think about what they can learn from the vast shift to online teaching and learning--the recent period emphasized the significance of autonomous learning abilities, as students who were skilled in self-regulation were able to cope with the challenges of remote education with more success. The e-portfolio was a crucial instrument in online education, aligning well with self-regulated learning processes. Evaluating and learning from these experiences after the pandemic is necessary to improve future educational approaches. The review adhered to a thorough methodology. Starting with 221 publications, the PRISMA protocol and the Ryaan tool were implemented to refine the data. The content analysis approach was further employed to evaluate 12 selected papers. The results suggest that e-portfolios were well-welcomed during the pandemic because of their flexibility in remote learning environments and their ability to showcase continuous student learning and achievement. However, concerns were identified regarding sufficient guidance, support, privacy, and plagiarism. Furthermore, the study examines the digital designs and infrastructures of e-portfolios, offering significant insights into their functionality and user experiences. Drawing upon the synthesized data, this article presents practical suggestions for integrating e-portfolios within the educational post-pandemic environment, with a particular focus on collaboration from a learning co-design approach. Additionally, it suggests possibilities for further investigation to enhance the evolution of e-portfolios in higher education.

The effect that online extensive reading (ER) of English texts has on learners' reading comprehension and motivation to read is not well understood. The purpose of this systematic review was to examine the efficacy of online ER by examining quantitative and mixed-methods studies that examined the effect of online ER on learners' reading achievement, motivation to read, and other perceptual and emotional aspects of English language proficiency. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria were followed in this study. Online ER-related articles were selected based on the predefined eligibility criteria. Then, the 31 English-language online ER studies published between 2010 and 2021 were screened and extracted from electronic databases. The screened studies were those that involved students above 15 years of age. The findings indicated that online ER activities could be used in two ways. First, teachers could incorporate online reading strategies and technological tools for online ER to help students improve their reading achievement. Second, if they wanted to increase their students' motivation to read, they could emphasize the use of online reading management systems and reading resources for ER. Additionally, the study discovered that the size of the vocabulary and the volume of reading were predictors of online ER's success. Additionally, the article discusses the review's implications.

Using R to conduct univariate meta-analyses is becoming common for publication. However, R can also conduct multivariate meta-analysis (MMA). However, newcomers to both R and MMA may find using R to conduct MMA daunting. Given that, R may not be easy for those unfamiliar with coding. Likewise, MMA is a topic of advanced statistics. Thus, it may be very challenging for most newcomers to conduct MMA using R. If this holds, this can be viewed as a practice gap. In other words, the practice gap is that researchers are not capable of using R to conduct MMA in practice. This is problematic. This paper alleviates this practice gap by illustrating how to use R (the metaSEM package) to conduct MMA on educational psychology data. Here, the metaSEM package is used to obtain the required MMA text outputs. However, the metaSEM package is not capable of producing the other required graphical outputs. As a result, the metafor package is also used as a complimentary to generate the required graphical outputs. Ultimately, we hope that our audience will be able to apply what they learn from this method paper to conduct MMA using R in their teaching, research, and publication.

The paper has three major objectives. The first objective of the paper is to synthesize and define common categories of meta-analysis. The second objective is to propose a way to comprehend these common categories of meta-analysis through learning from their respective generic conceptual frameworks. The third objective is to point out which R packages to use to conduct a meta-analysis for each category presented in this paper. In practice, research novices may not know where to begin to learn a topic of meta-analysis for their research. Furthermore, they may not know how the topic of meta-analysis progresses from basics to advanced. This makes it almost next to impossible to use meta-analysis in their research. Certainly, this is problematic. Thus, this paper intends to help research novices overcome this problem. To achieve this, the three objectives mentioned at the beginning were implemented. To propose a synthesis of common categories of meta-analysis along with their respective definitions, a literature review was used as a method to synthesize and define the common categories of meta-analysis presented in this paper. Here, synthesizing meta-analysis categories in one figure would make it much easier for research novices to see the breadth of the subject in question. To propose an easy way to understand the concepts of meta-analysis through learning from their respective generic conceptual frameworks, personal experience was used as a method to make that offering. Here, it is encouraged that research novices should go beyond the definitions of categories of meta-analysis. They can try to frame their research by using example conceptual frameworks presented in the paper as a starting point. To point out which R packages to use with what categories of meta-analysis, a literature review was used as a method to identify those appropriate R packages available. Here, it would be useful for research novices to know which R packages they may need for their meta-analysis research. In summary, the contributions of the paper here would make research novices see and understand the common categories of meta-analysis from the bottom to the top of the pyramid, also offers an easy way to understand the common categories of meta-analysis by illustrating how to develop conceptual frameworks for the common categories of meta-analysis, and finally recommending the R packages to be used with the categories of meta-analysis. Ultimately, we hope that research novices will be able to use meta-analysis successfully in their research.

The purpose of this meta-analysis was to examine prior research that compared the differences between the academic performance of students who undertook online homework as against those that undertook traditional pen and pencil homework. Eighteen experimental and quasi-experimental studies met inclusion criteria for the meta-analysis. Eleven found online homework to produce better academic performance and seven found traditional pen and pencil homework to produce better academic performance. The Random-Effects model was used for this meta-analysis and the overall effect size was found to be 0.06 [-0.19, 0.32]. The comparison between academic performance from online homework as against traditional pen and pencil homework was not statistically significant from the published studies examined. [Note: The page range (1-20) shown on the PDF is incorrect. The correct page range is 8-20.]

This study analyzes Turkish studies on web-based instruction in the field of science education using the meta-synthesis method with the aim of determining the general trends of the analyzed studies. A total of 20 studies published between 2006 and 2022, including 7 doctoral dissertations, 11 master theses, and 2 journal articles, were analyzed with a qualitative research design. These studies were identified using the databases of the YÖK National Thesis Center, EBSCO, Google Scholar, and ProQuest. The studies were analyzed using a coding form that included ten categories: year of publication, type of publication, purpose of the research, method, data collection tools, data analysis method, grade level, sample size, learning domain, and outcome of the research. The obtained data were interpreted according to the specified categories. It was concluded that a significant portion of the analyzed studies were conducted with the aim of examining web-based instruction and Web 2.0 tools, mixed research designs and semi-structured interview forms were most often used, most studies were conducted with students in the 6th and 7th grades, and web-based instruction was generally found to be more effective than traditional instruction. This study provides an overview of research on webbased instruction in the field of science education, serves as a resource for future research, and offers new ideas and suggestions for researchers in this field.

This meta-synthesis reviewed and synthesized the findings of 53 studies on supervisory post-conferences and feedback with a total of 807 participants published between 2004-2023. The aim of this meta-synthesis was to illustrate the trends in the reviewed studies and synthesize the results of the studies on supervisory discourse and models of supervision in the field of English language teaching. The criteria for eligibility for selection were being empirical, peer-reviewed, and published in English. Articles were scanned through the Web of Science, ERIC, SCOPUS, and Google Scholar till July, 2023. The studies lacking a report of detailed and clear-cut data collection and analysis phases were removed in the appraisal phase to avoid a risk of bias. The results indicated that supervisors implemented directive supervisory styles as well as collaborative approaches exploiting power dynamics such as expert power. The findings also showed that the use of conversational techniques such as mediation, mitigators, and elicitation in supervisory talk play a central role in supervising English language teachers. The results suggested that supervised teachers demonstrated confronting, autonomous, and fluid identities when faced with a directive style of supervision. The limitations of evidence for this study related the search strategy, participants and variations in educational settings.

Background: Foundation Phase teachers in the South African Department of Basic Education system daily encounter a challenge with learners struggling to read with understanding. This motive was displayed and made available to readers and authors by the recent Progress in International Reading Literacy 2021, which articulated that learners in the Foundation Phase need to be reading their home language (isiXhosa) with understanding. Objectives: This study sought insights into improving children's reading ability in the Foundation Phase. Method: The research adopted the quantitative research method through the systematic review of what other authors have conducted. It has focused on children's reading of Home Language isiXhosa with semantic meaning. Results: The analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach. It has shown that teaching semantics of isiXhosa in the Foundation Phase, in the South African context, has been seen as an easy pedagogical strategy. In addition, teachers use the dominant language to make examples. Conclusion: The article echoed that translanguaging is used by teachers, especially in multilingual classrooms. This approach of translanguaging is not an official pedagogical approach to learning; however, teachers use it to break the barrier of not communicating appropriate skills to children. Translanguaging is an act of acknowledging the diversity of South Africa and embracing it. Contribution: The impact the study has made and suggested is the use of translanguaging in the classrooms. This is based on and due to the diversity in the classrooms. There are insufficient articles addressing the semantic teaching of isiXhosa in multilingual classrooms.

The research aims to analyse the most current (2015-2023) literature on STEM education to gain a deeper understanding of current trends, priorities and developments in the field of STEM education. Scientific studies determined within the scope of the study were examined using bibliometric and content analysis methods, which are among the systematic compilation methods. First, access to the WoS database was gained, and a subject-based search was conducted using the keywords "STEM education" and "Meta-analysis." In this context, 38 scientific studies containing these relevant keywords were found in the search. The collected data were initially analyzed on the basis of descriptive attributes in the WoS. Subsequently, the listed publications were analyzed using the bibliometric analysis tool VOSviewer for bibliographic attributes, including citation counts, co-citation, co-authorship, cooccurrence, and bibliographic coupling analysis types, based on authors, institutions, and countries. Finally, 18 articles from these scientific publications were evaluated through content analysis in terms of various characteristics of following the PRISMA flowchart. The most prominent keywords associated with the examined concepts included technology-related terms like "computer-based learning," "digital game-based learning," "academic achievement," "active learning," and "problem-centered instruction." Furthermore, the general focus of scientific studies appears to be on determining the impact of a STEM education method on student performance.

Introduction: Collaborative approaches in speech-language pathology (SLP) aim to integrate the experience of clients and people important to them by including these stakeholders actively in decision making. This inclusion can lead to more effective, engaging, and safer SLP practice. A variety of collaborative approaches have evolved in response to sociocultural contexts, and as a result, there are many different approaches currently in use such as co-design, co-production, and co-creation. However, despite widening acceptance and utilisation of collaborative approaches, the use and evidence for these in SLP literature have not been considered collectively. The current study aims to explore how collaborative approaches, used to develop products or services in SLP, are reported in literature. Methods: Using narrative review methodology, a systematic search of three databases and hand searching were conducted to explore how collaborative approaches, used to develop products or services, are reported in SLP. Search terms reflected the breadth of collaborative approaches and the diverse nature of SLP across clinical practice. Following screening of initial data, 59 articles were identified for data extraction and narrative synthesis. An internationally recognised reporting checklist for stakeholder involvement called the Guidance for Reporting Involvement of Patients and the Public, Version 2 (GRIPP2), informed the reviewing process in addition to qualitative description. Results: Collaborative approaches across SLP practice were found to be diverse as were the terminology and tools used for collaboration. Two-thirds of the studies were published after 2020. The timing and involvement of stakeholders in collaborative approaches varied greatly; however, most stakeholder involvement was found in the conducting of research activities, compared to other areas such as planning, analysis, and reporting. The GRIPP2 review indicated strengths and opportunities in reporting of stakeholder involvement. When stakeholder involvement was rigorously reported it could include reflection on how stakeholders contributed within their communication abilities and how this contribution benefited the study. Conclusion: Collaborative approaches reported in SLP focused on valuing and respecting people with living experience of communication and swallowing difficulties. This narrative review contributes to the resources available to support decision-making and working together with stakeholders, encouraging SLPs to reflect, consider the context and respond. Future research could continue to strengthen consistency in terminology for collaborative approaches, use frameworks to plan and report stakeholder involvement and carefully consider involvement across the research continuum.

Background: Accessibility of data visualization has been explored for users with visual disabilities but the needs of users with language disabilities have seldom been considered. Aim: This scoping review synthesised what is known about data visualization for adults with language disabilities, specifically the acquired language disability, aphasia and Developmental Language Disorder. It sought to extract key findings and identify what practices support effective visualization for decision making for people with language disabilities. Method: Papers were included if they investigated visualization of data, and the consumers of the data visualization were people with aphasia or developmental language disability. Seven databases were searched: CINAHL, Academic Search, Medline, PsychINFO, Ovid, ACM Digital Library and IEEE Xplore. Included studies were charted to extract title, author(s), year, country, paper type, scientific field, participant number(s), participant group(s), main topic, subtopic, method, task description, task category, data visualization, summary, key findings relevant to the review question, and guidelines or recommendations. Narrative synthesis was used to describe how people with language disability have interacted with data visualization from a range of literature. Main Contribution: Six studies (seven publications) were included in the review. One study came from the field of health, one from a disability rights collaboration and four studies from computer science. No studies satisfying the review criteria explored data visualization for Developmental Language Disorder; however, five studies explored participants with cognitive disabilities that included impairments of language, so these were included. A range of visualization designs were found. Studies predominantly explored understanding of visualization (4/6). One study explored how to express data visually, and one explored the use of the visualization that is, for an action, choice, or decision. Cognitively accessible data visualization practices were described in four papers and synthesized. Supportive practices reported were reducing the cognitive load associated with processing a visualization and increasing personal relevance of data visualization. Conclusion: Accessible data visualization for adults with aphasia and Developmental Language Disorder has only minimally been explored. Practices to specifically support users with language disability are not yet apparent. As data use in making everyday decisions is widespread, future research should explore how people with language disabilities make use of data visualization.

Background: There are many children with neurodisability who are unable to rely on speech to communicate and so use a range of augmentative and alternative communication (AAC) methods and strategies to get their message across. Current instruments designed to measure the outcomes of speech and language therapy interventions lack specific attention to communication outcomes that are valued by non-verbal children with neurodisability, their families and support networks. This qualitative meta-synthesis was conducted to identify valued communication outcomes to inform the next stage of developing a novel outcome measure. Aims: To systematically identify and synthesise the qualitative evidence about which communication outcomes non-verbal children with neurodisability, their family members, healthcare professionals and educators think are important to achieve, specifically which communication outcomes are most valued by: (1) non-verbal children with neurodisability; (2) parents or other family members of non-verbal children with neurodisability; and (3) professionals who work with non-verbal children with neurodisability. Methods & Procedures: A systematic search of bibliographic databases and the grey literature was undertaken to identify qualitative studies that included evidence of views expressed by children, family members, healthcare professionals and educators on outcomes in relation to the communication of non-verbal children with neurodisability. All papers meeting the inclusion criteria were quality appraised using the Critical Appraisal Skills Programme Qualitative checklist, although none were excluded on this basis. The data synthesis involved organising coded data into descriptive themes which were then synthesised into analytical themes. Main Contribution: We found 47 papers containing qualitative data meeting the inclusion criteria from research situated in 14 countries. The views of 35 children, 183 parents, six other family members, 42 healthcare professionals and 18 educators are represented in the review. The included studies contained very few data reported by children themselves; most data were provided by adults, especially parents. Three main analytical themes were identified: Experiences of communication and expectations; adapting to and acceptance of AAC; and becoming an autonomous communicator. Conclusions & Implications: This meta-synthesis brings together the limited qualitative research findings about what parents, professionals and children consider are important communication outcomes for non-verbal children with neurodisability. The synthesis identifies key gaps in our knowledge about the perspectives of children and their siblings. This synthesis will inform primary research to understand valued communication outcomes in this group, and ultimately the development of a patient-reported outcome measure (PROM) that can be used to demonstrate the effect of interventions, at both clinical and service levels.

Numerous influential policy and scientific bodies are calling for more rapid advances in the scale-up of child and youth mental health services (CYMHS). A number of CYMHS innovations hold promise for advancing scale-up but little is known about how real-world efforts are progressing. We conducted a scoping review to identify promising approaches to CYMHS scale-up across the globe. Searches were completed in six databases (Academic Search Complete, CINAHL, MEDLINE, PsychInfo, PubMed, and Web of Science). Article selection and synthesis were conducted in accordance to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews (PRISMA-ScR) checklist. A second search focused on low-and-middle-income countries (LMIC) was conducted based on the Cochrane Library recommended search filters of the World Bank listed LMIC countries. Authors used a double coding strategy during the title/abstract and full-text review. Twenty-eight articles meeting the eligibility criteria were identified that described 22 initiatives (in 11 different countries). Our review found the majority of published scale-up studies in CYMHS were not informed by scale-up frameworks in design or reporting. The methods and outcomes used in the identified articles were highly variable and limited our ability to draw conclusions about comparative effectiveness although promising approaches emerged. Successes and failures identified in our review largely reflect consensus in the broader literature regarding the need for strategies to better navigate the complexities of system and policy implementation while ensuring CYMHS interventions fit local contexts.

Background: The review aimed to investigate the effectiveness of parent-child relationship interventions for families of children with intellectual disability up to 12 years old. Methods: Quasi-experimental or randomised controlled trials (RCTs) of interventions targeting the parent-child relationship where =50% of children had an intellectual disability were included. Meta-analyses of parent-child relationship outcomes and child outcomes used standardised mean difference as the effect size. Results: Twenty-seven papers were included (N = 1325). Parent-child relationship outcomes improved significantly (n = 1325; g = 1.08, 95% CI: 0.64, 1.52) with a large effect size that was robust to sensitivity analyses. Child developmental outcomes improved significantly (n = 1082; g = 0.65, 95% CI: 0.23, 1.07), and indicated a large effect size for child socialisation and communication. Conclusions: Findings suggest that interventions targeting parent-child relationship quality are associated with substantial improvements in parent-child relationship and may improve child outcomes related to socialisation and communication.

Meta-analysis methodology has evolved with the development of more robust statistical techniques; however, few reviews in special education have focused specifically on methodological rigor in meta-analyses. In this study, we examined 29 meta-analyses of mathematics interventions published from 2000 to 2022 to determine the extent to which researchers have applied four best practices in meta-analyses focused on mathematics interventions for students with disabilities. Our findings were (a) studies used three primary moderator techniques: meta-regression (k = 10), subgroup analysis (k = 8), analysis of variance (k = 3), and both subgroup analysis and meta-regression (k = 1); (b) only one study considered small sample corrections for hypothesis tests; (c) few researchers handled the dependence between multiple effect sizes (k = 3); and (d) the funnel plot was commonly used to detect publication bias (k = 8). Based on our findings, we make recommendations for methodological considerations for future meta-analyses.

This systematic review addressed the following question: Which are the relations between L1 and/or L2 foundational and upper-level language skills, cognitive skills, high-order cognitive and self-regulation factors and L2-English reading comprehension skills in 11-to-19 year EFL secondary school students with different L1 language profiles? Following preferred reporting items for systematic reviews and meta-analyses guidelines, twenty-seven studies were included for a systematic synthesis of results in the light of the different grades of "family language distance" between L1 and L2-English (i.e., "close related" vs. "partially related" vs. "not related"). We found that several L1 and L2 language skills (e.g., vocabulary, morphological awareness), cognitive skills (e.g., working memory) and high-order factors as metacognitive knowledge were positively associated with L2-English reading comprehension, regardless of different language groups. Conversely, we found that several well-known predictors of text comprehension are neglected in the scientific literature on reading in L2. We discuss practical implications and key recommendations to support school and future research.

In many classrooms across the globe, students are expected to comprehend and produce handwritten and computer-generated texts as soon as they start school. As we progress towards digitalisation in education, it has become necessary to understand the effects of writing modality on students' literacy performance and development. The current meta-analysis integrates findings from 22 international studies involving 6168 participants, comparing the effects of handwriting and keyboarding on the writing and reading performance of primary-aged students. Moderator analyses were executed to determine if grade level, keyboarding experience, timed measurement of letter writing, types of tasks measuring letter writing fluency, and study design moderated modality effects on writing outcomes. Results revealed a significant effect size when comparing writing quality between handwriting and keyboarding, with students producing better quality passages via handwriting than keyboarding (ES = 0.53). Results also revealed that only grade level significantly moderated the effect size for letter writing fluency and written word production. Findings indicated that handwriting and keyboarding practices are associated with improvements on specific reading skills in primary education, with no clear superiority of modality. We discuss implications for literacy research and teaching both locally and globally.

A 360-degree video offers a novel visual experience for education. This immersive experience not only amplifies students' engagement and curiosity but also assists them in delving into and comprehending intricate concepts from a multitude of viewpoints. Given its novelty, there is a relative shortage of studies on 360-degree video's overall effectiveness in education. This study conducted a meta-analysis of 49 peer-reviewed articles. Utilizing a random-effects model to compute effect sizes (ES), the results showed that 360-degree videos have a moderate impact on both learning (Hedges' g = 0.525) and non-cognitive outcomes (Hedges' g = 0.527), with notable heterogeneity observed across the studies. Furthermore, the studies were coded to examine the moderating effects of their characteristics, such as the level of education, the field of education, the display types, experimental design, the sample size and the control treatment. The findings suggest a medium effect of 360-degree videos on knowledge acquisition and a smaller effect on task performance. In terms of non-cognitive outcomes, the least impact was noted in the domain of social and emotional qualities, while the most significant impact was in attitudes and beliefs. Based on these findings, the study proposed future research directions focusing on enhancing teaching strategies and improving research designs concerning the use of 360-degree videos in educational contexts.

The current review aimed to evaluate the effectiveness of behavior-analytic procedures in increasing face mask-wearing in autistic individuals. This comes following recommended guidance during the COVID-19 pandemic. A systematic review and meta-analysis were completed of peer-reviewed and grey literature. Six databases were searched and seven studies using single-case experimental designs met the eligibility criteria which were then quality appraised. Data were extracted on participant characteristics, study design, independent and dependent variables, fidelity, generalization, maintenance, and social validity outcomes. Both the non-overlap of all pairs and Baseline Corrected TAU were used to estimate effect size. Two studies were rated strong and borderline strong quality and five were rated as adequate or below. All studies showed positive outcomes for mask-wearing, with an average of 0.92 for non-overlap of all pairs and 0.47 for Baseline Corrected Tau effect sizes. The most common and effective procedures for increasing mask-wearing were graded exposure and differential and positive reinforcement. Factors such as mode of delivery, implementer, and setting did not appear to influence study outcomes. Procedures were found to be rated as acceptable by parents and professionals in five of the studies. The existing literature on increasing face mask-wearing in autistic individuals provides promising findings to add to existing literature around increasing tolerance to medical equipment and hygiene practices in autistic populations. However, these findings are based on a small sample size, with six of the studies taking place in the United States with varying study quality.

In sparse data meta-analyses (with few trials or zero events), conventional methods may distort results. Although better-performing one-stage methods have become available in recent years, their implementation remains limited in practice. This study examines the impact of using conventional methods compared to one-stage models by re-analysing meta-analyses from the Cochrane Database of Systematic Reviews in scenarios with zero event trials and few trials. For each scenario, we computed one-stage methods (Generalised linear mixed model [GLMM], Beta-binomial model [BBM], Bayesian binomial-normal hierarchical model using a weakly informative prior [BNHM-WIP]) and compared them with conventional methods (Peto-Odds-ratio [PETO], DerSimonian-Laird method [DL] for zero event trials; DL, Paule-Mandel [PM], Restricted maximum likelihood [REML] method for few trials). While all methods showed similar treatment effect estimates, substantial variability in statistical precision emerged. Conventional methods generally resulted in smaller confidence intervals (CIs) compared to one-stage models in the zero event situation. In the few trials scenario, the CI lengths were widest for the BBM on average and significance often changed compared to the PM and REML, despite the relatively wide CIs of the latter. In agreement with simulations and guidelines for meta-analyses with zero event trials, our results suggest that one-stage models are preferable. The best model can be either selected based on the data situation or, using a method that can be used in various situations. In the few trial situation, using BBM and additionally PM or REML for sensitivity analyses appears reasonable when conservative results are desired. Overall, our results encourage careful method selection.