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This study aimed to explore the linguistic factors that influence the development and diversification of World Englishes along with implications for language teaching, learning, and policy, and to examine the trends in research related to WEs. Using a systematic review process with MAXQDA 20.2.1, the findings indicate that research on World Englishes has focused on a variety of linguistic elements, with a particular emphasis on syntax, phonology, and discourse and pragmatics. The study also highlights the importance of understanding the cultural and linguistic contexts in which English is being used, as these contexts can have a significant impact on the linguistic features and pragmatic norms of different varieties of English. Regarding the challenges that learners face when learning WEs, the findings suggest that learners may struggle with the different semantic features and pragmatic norms of different WEs varieties. In terms of trends in research related to WEs, the findings show a growing interest in the study of WEs from various linguistic and cultural perspectives, including sociolinguistics, applied linguistics, and language education. However, there is a need for a more interdisciplinary approach to research on WEs, incorporating diverse perspectives and methodologies.

Over the past two decades, multiple empirical studies have examined how teacher audio feedback works in EFL/ESL writing courses. This review explores instructor audio feedback studies in higher education writing contexts. Seventy empirical studies were identified in literature searches published between 2000 and 2022 in several academic databases. Then, based on exclusion and inclusion criteria, thirteen relevant studies were reviewed. The results indicate that interest in instructor audio feedback research has risen since 2000. This overview presents what empirical studies on teacher audio feedback in L2 writing courses aimed to find out, how they were conducted, and what they found. As many research designs and findings were underexplored, more studies are required to investigate this feedback type to benefit L2 writing learning and teaching and enrich studies on audio feedback practices. The gaps identified in the selected studies offer ideas for future explorations of teacher audio feedback in L2 writing contexts.

Exploratory data analysis (EDA), data visualization, and visual analytics are essential for understanding and analyzing complex datasets. In this project, we explored these techniques and their applications in data analytics. The case discusses Tableau, a powerful data visualization tool, and Google BigQuery, a cloud-based data warehouse that enables users to store, query, and analyze large datasets. It also explored the benefits and applications of both tools and their integration with other platforms and services. The project offers an introductory insight into Tableau's functionalities, employing a data file from the US Census Bureau via Google BigQuery.

The purpose of this current study is to explore the move structure presented in abstracts of the research articles from Thai Scopus Journals (TSJ) and Top-Ranked Scopus Journals (TRSJ) in Applied Linguistics and English Language Teaching. Ninety abstracts were analyzed and separated equally between those two journals. The five-move framework established by Hyland (2000) was used to analyze the move pattern, showing different dominant patterns: I-P-M-Pr-C in Thai Scopus Journals and P-M-Pr-C in Top-Ranked Scopus Journals respectively. In Thai Scopus Journal, the results indicated that the introduction is optional, the conclusion, purpose, and method are considered conventional, and the product is obligatory. Similarly, in Top-Ranked Scopus Journals, the product is obligatory, while the purpose, method, and conclusion are conventional. These findings could offer practical insights into abstract structures and hold importance for educational purposes, offering guidance for the effective writing of abstracts in research articles.

The use of Deaf role-models (DRMs) with Deaf children born into hearing families is a practice aimed at improving outcomes for Deaf children, yet there is little peer-reviewed research available to influence future direction of such. This scoping review directs attention to available research on DRMs as a socio-linguistic and cultural viewpoint for balancing a predominantly audiological approach for early intervention for Deaf children. Systematic database searches initially yielded 132 records, of which seven articles were included in this scoping review. Findings are presented as five themes: 'Deaf Gain' and associated cultural capital, effective communication, developmental influences, family (or caregiver) attitudes to Deafness, and administration of DRM programs. Few formalized DRM programs were identified within the literature. The review concludes with recommendations for further exploration of the DRM experiences of Deaf people and their families within Australia.

Entropy and the second law of thermodynamics have long been identified as difficult concepts to teach in the physical chemistry curriculum. Their highly abstract nature, mathematical complexity and emergent nature underscore the necessity to better link classical thermodynamics and statistical thermodynamics. The objectives of this systematic review are thus to scope the solutions suggested by the literature to improve entropy teaching. ERIC and SCOPUS databases were searched for articles aiming primarily at this objective, generating N = 315 results. N = 91 articles were selected, among which N = 9 reported quantitative experimental data and underwent a meta-analysis, following PRISMA guidelines. Risk of bias was assessed by the standards criteria of What Works Clearinghouse. Results from the qualitative selection show diverse solutions to solve the entropy teaching hurdles, such as connection to everyday life, visualization, mathematics management by demonstrations, games and simulations, criticism and replacement of the disorder metaphor and curriculum assessment. The synthetic meta-analysis results show high but uncertain effect sizes. Implications for teachers and researchers are discussed.

Dynamic consent is increasingly recommended for longitudinal and biobanking research; however, the value of investing in such systems is unclear. We undertook a rapid review of the benefits and challenges of implementing dynamic consent by searching five databases (Ovid Medline, Ovid Embase, Scopus, Web of Science, Cumulative Index to Nursing and Allied Health Literature -- CINAHL) for articles published up to May 2023 that report on participants' or researchers' experience of dynamic consent. From 1611 papers screened, 12 met inclusion criteria. Guided by thematic analysis with an inductive approach, we synthesised 31 benefits and 8 challenges. Benefits included: enhanced participant experience through improved consent management and tailoring; greater participant engagement and retention through increased autonomy, trust and communication; reduced costs and burden and increased accessibility and inclusivity. Participants and researchers also valued additional features that dynamic consent platforms facilitate such as two-way communication and return of research updates. The main challenges included the digital divide and consent fatigue. The papers gave recommendations to mitigate these challenges, for example by supplementing with other communication tools and allowing a broad consent approach, respectively. Overall, dynamic consent was described as a valuable consent approach with many benefits and some surmountable challenges. Most included literature was qualitative, so further research is needed to quantify the impact of dynamic consent on recruitment, retention, and participant experience. Further long-term investigations are necessary to explore whether participants want to and do change their consent over time, as well as the impact of dynamic consent on participant privacy.

This review was conducted in order to determine the specific role of intelligent technologies in the individual learning experience. The research work included consider articles published between 2014 and 2024, found in Web of Science, Scopus, and ERIC databases, and selected among 933 ?articles on the topic. Materials were checked for compliance with the criteria for headings, annotations and full texts and then further analyzed. The research study includes 38 review articles that were selected based on a rigorous evaluation and selection process in accordance with the PRISMA methodology and the AMSTAR2 critical assessment strategy. As a result of the analysis, it was found that the scope of application of intelligent technologies in individual education in research is diverse, and the results of articles on this topic are heterogeneous. The article identifies aspects of the effective use of intelligent technologies in education, emerging difficulties and limitations, as well as provides examples of successful implementation in various educational institutions. Although there are advantages to using smart technologies in education in general, we should not ignore what needs to be considered. On this point, the article presents the difficulties that arise when using intelligent technologies in education, and ways to prevent them.

Advancements in computation and machine learning have revolutionized science, enabling researchers to address once insurmountable challenges. Bioinformatics, a field that heavily relies on computer-driven analysis of biological data, has greatly benefited from these developments. However, traditional bioinformatics instruction frequently lacks the necessary coding skills. This article explores the transformation of a bioinformatics course in which feedback from students revealed limitations in traditional web application interfaces and the absence of coding automated pipelines for real-world applications. To address these shortcomings, the authors redesigned the project to incorporate computer programming using Google Colaboratory, where students access databases and websites by coding. The curriculum outlined the integration of modern programming skills with essential bioinformatics concepts. This article evaluates the effectiveness of this redesign by analyzing a self-response survey completed by course participants. Results show a positive impact on students' perception of science and scientific research. Bayesian statistical analysis reveals that the programming component significantly predicts students' career clarity in science and their pursuit of graduate education. Integrating coding exercises in bioinformatics education enhances students' preparedness for real-world applications. The freely available GitHub repository will facilitate adoption. By embracing computational tools, students can become adept researchers capable of tackling complex biological questions.

A child's ability to comprehend speech in the mainstream classroom is vital for intellectual and social development. However, listening conditions are often sub-optimal; the presence of multiple talkers, high noise levels, and long reverberation times add to the challenge of listening with a developing auditory system. An assessment that captures the everyday demands of listening comprehension in the primary school classroom is required to understand what drives student performance. This paper reviews listening comprehension tests found in the research literature and examines implications for classroom listening. A comprehensive search of three online databases was conducted in August 2021. The search term was "classroom AND listening AND comprehension AND (test* OR assess* OR measure*)." Seventy-five papers met the inclusion criteria and 39 different tests were found. These tests were assessed according to their features, such as standardization, reliability metrics, and stimulus presentation. Most listening comprehension tests were not developed for assessing children's listening comprehension in the classroom environment, likely due to its complexity. They are therefore limited for understanding the demands of classroom listening. Considerations for the development of future classroom listening comprehension tests such as using audio-visual recordings and realistic classroom noise are discussed while considering test sensitivity and reproducibility.

Metacognitive instruction supports L2 listening learners to enhance their listening comprehension skill. To date, some review studies have investigated this topic; however, none of them has reported quantitative and qualitative findings in the form of a systematic literature review. This research addresses this gap by collecting, analyzing, and interpreting data gathered from five databases (EBSCO Discovery Service, Web of Science, PsycINFO, ERIC, and JSTOR) and using Preferred Recording Items for Systematic Review and Meta-Analysis (PRISMA). Methods, settings, demographic characteristics, and significant findings on teachers' and learners' beliefs about using metacognitive instruction and its effectiveness in 31 publications between 2012 and 2022 were analyzed. Obtained results demonstrated that the most frequent methodology applied was quantitative method. The subjects were mostly upper-intermediate to advanced university students. Moreover, metacognitive instruction had a positive effect on metacognitive awareness and listening comprehension by enhancing problem-solving skill, directed attention, self-regulation, and learners' agency and autonomy. Results demonstrated that there was a weak to moderate correlation between metacognitive awareness and listening comprehension performance. Finally, teachers and learners had positive attitudes toward metacognitive instruction. Based on the results, the review has made several suggestions and recommendations and offered implications for instructors and researchers in the field that are discussed further.

Introduction: Persistence in treatment is important in balancing diabetes and preventing complications. ADHD impairs quality of life and functioning in many areas of life. The aim of this study is to evaluate the possible association of ADHD and diabetes glycemic control among adults with type 2 diabetes mellitus (T2DM). Methods: All data were obtained from Maccabi Healthcare Services (MHS) automated databases. This retrospective cross-sectional study uses electronic medical records from the Maccabi Healthcare Services database during the years 2010 to 2020. Using a propensity score with the variables of age, gender, and duration of diabetes, we compared a group of 1,582 patients with T2DM and ADHD to 1,582 patients with T2DM and without ADHD. We used a t-test to compare continuous variables and a Mann-Whitney "U" test for non-parametric testing. In addition, we used multivariate logistic regression with a cutoff of several HbA1c values in T2DM patients with and without ADHD during 2019 to 2020. The proportion of patients with HbA1c values above 10%, 9%, and 8% in the group of patients with ADHD was 4.7 to 5.9 times higher than in patients without ADHD. In addition, the OR in the multivariate logistic regression was 4.2 (95% CI [2.5, 6.8]), 4.3 (95% CI [3.1, 6.1]), and 2.7 (95% CI [2.2, 3.4]) for cutoff of HbA1c of 10%, 9%, and 8%, respectively. Conclusion: Patients with co-morbid ADHD and T2DM have a higher incidence of poor glycemic control. The findings extend the knowledge on the relationship between ADHD and diabetes and highlight the need for further research to improve treatment.

Financial literacy, as a fundamental skill in the 21st century, has become a life skill that is urgently needed to be improved. Globally, the drive to enhance financial literacy involves integrating it into the education curriculum, necessitating educators' comprehensive grasp of financial literacy education before imparting it to students. This research aims to outline a conceptual model of financial literacy professional development to improve teachers' professional competence, employing a narrative review that synthesizes 28 relevant literatures retrieved from Scopus databases. The results of the study show that an effective training model for teacher professional development (TPD) in financial literacy education should focus on essential financial literacy content consisting of planning and budgeting, banking services, income and careers, insurance, investment, savings, also spending and credit. Furthermore, the main characteristics of TPD regarding financial literacy education should encompass content focus, coherence, ownership, active learning, duration, and collective participation.

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.

As a major shift in education technologies, Adaptive Learning Systems (ALS) use artificial intelligence and similar technologies, adapting the lessons to the needs of individual students. Emphasizing transformative pedagogy and teaching strategies that transform the learners' cognitive and interactive patterns, this study presents a comprehensive bibliometric analysis of ASL. Contrary to conventional teaching methods, ALS alters dramatically the way students think and interact with their environment. This research has utilized an all-inclusive bibliometric analysis to analyze the evolution, trends, and themes in ALS by using an extensive set of data from the Web of Science (WoS) and Scopus. The primary objective of Bibliometric analysis is to map the development of ALS in teaching and learning while marking the important trends, models, and thematic priorities. The relevance of this research lies in its comprehensive analysis of the Adaptive Learning Systems (ALS) field through bibliometric methods, offering critical insights into the trends, key contributors, and thematic developments over time. The systematic evaluation enables the appraisal of the impact created by major contributors like authors, organizations, journals, etc. The study also examines, using the advanced data collection technique, influential articles, and publications that enormously contributed to shaping ALS. Similarly, it does the rating effectively upon evaluating the mutual relationships among important terms, concepts, and factors through co-references and co-occurrences. It highlights the increasing scholarly output and identifies key contributors and influential works, underscoring the growing recognition of ALS's importance due to technological advancements. The study's findings on global research contributions, thematic analyses, and collaboration networks offer new insights into the field's dynamics, setting a foundation for future research directions. To visually represent bibliometric data, web analytic tools are used, explaining intricate relationships and thematic clusters. Identifying the unexplored areas and discussing the practical implications of ASL development, research, and analysis of combined data taken from WoS and Scopus provides a unique perspective. Consequently, researchers, educators, policymakers, etc., get valuable insights that enable advancing and understanding the area. This bibliometric analysis will undoubtedly guide future research in the area of transformative pedagogy as it is the most sought-after method in understanding the scholarly landscape of ALS.

Anatomy is the cornerstone of medical education. Virtual reality (VR) and augmented reality (AR) technologies are becoming increasingly popular in the development of anatomy education. Various studies have evaluated VR and AR in anatomy education. This meta-analysis aims to evaluate the effectiveness of VR and AR in anatomical education. The protocol was registered in Prospero. Scopus, PubMed, Web of Science, and Cochrane Library databases were searched. From the 4487 articles gathered, 24 randomized controlled trials were finally selected according to inclusion criteria. According to the results of the meta-analysis, VR had a moderate and significant effect on the improvement of knowledge scores in comparison with other methods (standardized mean difference = 0.58; 95% CI = 0.22, 0.95; p < 0.01). Due to the high degree of heterogeneity (I2 = 87.44%), subgroup analyses and meta-regression were performed on eight variables. In enhancing the "attitude," VR was found to be more "useful" than other methods (p = 0.01); however, no significant difference was found for "enjoyable" and "easy to use" statements. Compared with other methods, the effect of AR on knowledge scores was non-significant (SMD = -0.02; 95% CI = -0.39, 0.34; p = 0.90); also, in subgroup analyses and meta-regression, the results were non-significant. The results indicate that, unlike AR, VR could be used as an effective tool for teaching anatomy in medical education. Given the observed heterogeneity across the included studies, further research is warranted to identify those variables that may impact the efficacy of VR and AR in anatomy education.

This study is a systematic literature review on the use of Information and communication technology (ICT) in secondary schools and how it can improve student learning outcomes, motivation, engagement, skills development, and teachers' attitudes, practices, and beliefs about teaching and learning. After the inclusion and exclusion criteria, the sample included 40 eligible studies from Scopus and Eric databases. The research questions were thematically answered, and the findings were summarised into an ICT integration framework. The analysis indicates that effective ICT integration depends on students' and teachers' motivation and attitude change. Further, it proposes that ICT integration in secondary schools should not only be aligned with the curriculum and learning objectives but should also be sustained through the maintenance of ICT tools and appropriate ICT skills development for both learners and teachers. Therefore, effective ICT integration depends largely on capacity development, which should be focused on harnessing technological knowledge with pedagogical understanding in a conducive learning environment supported by all stakeholders. It is recommended that learning institutions aim at capacity building to enable students, teachers, and other experts to identify and address challenges efficiently.

Given the importance of social integration and participation in inclusive settings for young children with autism spectrum disorder (ASD), the purpose of this systematic review was to examine instructional outcomes and participant, teacher, group, and instructional characteristics that may be pertinent to successful group instruction for young children with ASD. The studies eligible for inclusion were peer-reviewed journal articles that used an experimental or quasi-experimental design and aimed to improve one or more skills or performance outcomes for young children with ASD below the age of 8 who participated in group instruction with their peers with ASD or other developmental disabilities. A search was conducted on November 1, 2021, using ProQuest databases--PsycINFO, ERIC, and PsycARTICLES. Risks of bias were assessed using the revised Cochrane risk-of-bias tool for randomized trials, the Risk of Bias in Nonrandomized Studies of Interventions, and the single case design risk of bias tool. A total of 33 studies with 237 participants were identified. We found that student performance improved across different instructional domains, and untaught targets were also acquired during group instruction. More importantly, we identified different participant, teacher, group, and instructional characteristics that may be pertinent to successful group instruction. We noted risks for various bias domains for the majority of the studies, limiting the conclusion and generalizability of the intervention effects in these studies. Practical implications were discussed based on the instructional outcome domains and participant, teacher, group, and instructional characteristics.

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.

Purpose: The aim of this article is to present a systematic review of empirical research developed in the field of citizenship education in teacher education. Design/methodology/approach: This study performs a systematic review, descriptive and critical in nature, of 62 studies present in the Web of Sciences and Scopus after a comprehensive analysis, using a decision tree, of what was published in the years 2017-2022. Findings: The results show five major thematic dimensions in the selected studies: teaching strategies and resources; teachers' conceptions; teaching content; teacher education programs; and design of teaching resources. The studies are unevenly distributed in the dimensions described, with the majority focusing on teaching strategies and resources. Practical implications: This research offers an analysis of the issues addressed in research on citizenship education and teacher education, which allows us to know the field of research in-depth and to outline the less explored topics.

This research aims to analyze cultural items in the international Chinese education network course resource database found in the "Chinese Bridge" delegation online experience platform. Data were collected from 878 culture-themed courses implemented by 106 schools (including 64 universities, and 39 vocational colleges, 3 high schools) around China during the year 2023. After utilizing "The Framework of Reference for Chinese Culture and Society in International Chinese Language Education" as classification criteria and applying statistical analysis method, three primary cultural items categories and 27 secondary cultural items categories were showcased. The results showed that schools focused more on society and lifestyles (N=350; 39.9%) and traditional culture (N=301; 34.2%) compared to contemporary China (N=227; 25.9%) in the primary category. The most popular secondary category items were leisure (N=178), art (N=109), cultural heritage (N=102), food (N=83), and inventions (N=59) the above five accounted for more than 60%. These two category levels systematically reflected the synchronic and diachronic characteristics of cultural teaching from supra-regional and regional cultural content. However, two shortcomings were identified, namely homogenization of cultural items presentation and simplification of teaching medium language. The high-frequency recurring cultural items were Chinese tea, Chinese painting, and Tai Chi, which in total were presented in 107 courses and accounted for more than 12%. English is the most important medium language after Chinese, while teaching other languages is relatively lacking. The results of this study also provide valuable insights of improvement strategies proposed by precise learning demands, diversified cultural narration and technology assisted teaching to inspire the schools' international Chinese education network course resources.

Background: Early childhood development (ECD) practitioners are crucial to young children's motor milestone achievement, motor development and physical activity (PA) participation. Their role in helping young children reach appropriate PA levels and gross motor milestones has not received sufficient attention. Aim: This study examined the contribution of ECD practitioners to the acquisition of gross motor milestones and PA participation in children aged 0-4 years. Setting: A literature search was conducted using specified search terms. Search parameters were set between 1994 and 26 May 2021. Methods: The Manual for Evidence Synthesis was used for this scoping review. The mapping of evidence based on research about the contribution of ECD practitioners to the acquisition of gross motor milestones and sufficient PA levels, particularly in children aged 0-4 years, was performed using the nine stages of the scoping review approach. Results: Early childhood development practitioner-led PA interventions positively influence children's overall PA, especially when thoroughly executed by sufficiently trained practitioners. In addition, ECD practitioners' PA correlated positively with children's PA. Conclusion: Physical activity interventions presented by ECD practitioners might have a positive influence on children's overall PA levels, if interventions were thoroughly executed and ECD practitioners received sufficient training. Gaps identified in the current literature include a lack of longitudinal studies and research investigating ECD practitioners' contribution to young children acquiring gross motor milestones. Contribution: The study contributed to the limited information regarding practitioners' contribution to gross motor milestone acquisition and adequate PA, highlighting several gaps where research is required.

This study aims to review the STEM education intervention on the undergraduate level by applying CiteSpace software, an innovative tool for bibliometric analysis and visualization. The Web of Science (WOS) database was used and covers the period from January 2008 to August 2023. Based on keyword search, seven clusters with the largest research volume in the past 15 years were identified and analysed with relevant literature. The results revealed that the trending topics of STEM education research included racial and gender differences in STEM education, reform of STEM education assessment and motivation methods for undergraduates, strategies to improve STEM academic performance, and the impact of STEM education on undergraduate employment. Furthermore, a cluster analysis of keywords and references was conducted to explore the connections between the clustered themes and the core theme of STEM. The timeline visualization diagram was used to examine the duration and evolution of each research theme in STEM education, which provided useful information for identifying the direction of STEM research. Finally, through the citation burst analysis, the top 15 most cited references were determined, and the STEM research hotspots were discussed in relation to their literature, which were consistent with the STEM research hotspots derived from the high-frequency themes and node literature. The findings of this study offer important insights into the development trend of STEM education and provide an evidence base and reference for future research and development of STEM education particularly at the undergraduate level.

Written by the SECEIJ Special Forum editorial team, this Project Report summarizes the interdisciplinary, collaborative, and inspiring research journey and theoretical background leading to the creation of a strategic plan for the 'IKE Alliance for Transforming STEM Education. 'IKE, which stands for Indigenous Knowledges, Encouragements, Engagements, and Experiences, means knowledge in the Native Hawaiian language. This article outlines the importance of honoring Indigenous epistemologies in STEM education and across institutions and communities as we work to increase the presence of Native American, Alaska Native, Native Hawaiian, and Pacific Islander students in STEM. Our goal is to build authentic and durable partnerships locally and nationally through respecting, honoring, engaging, cultivating, and consulting with Native Nations and communities.

In elementary education, virtual reality (VR) has been the subject of muchincreased research over the last ten years, with developed and developing nations making significant contributions. This research used a bibliometric approach to examine all publications published between 1994 and 2023, depending on this information. This study uses the VOS viewer tool and the Scopus database to analyse 365 articles. The results show that developed nations significantly contributed to publications and citations, especially in research and development, whereas developing nations were more interested in using technology in education. Journals in computer science and education now receive the most citations, which indicates the current focus on Virtual Reality in Elementary Education. The trend of greater collaboration among authors may be attributed to several variables, including, but not limited to, enhanced financing, higher author competency, and the rise of transdisciplinary studies. This collaborative effort facilitates the exchange of many viewpoints, expands the scope of insights in articles, and improves the editing and revising process. The terms "child," "reality," "technology," "approach," "intervention," "teaching," "augmented reality," "difference," "patient," and "process" are the top 10 keywords linked to virtual reality in elementary school research. Research relevance, influence, and acknowledgment within the scientific community may be ensured by matching research to keyword trends. The findings of this study could help future investigators choose research topics and pinpoint areas of interest.

Understanding the trends and developments in artificial intelligence research in science education, which has rapidly advanced in recent years, is crucial for technological innovations and applications in education. Therefore, this study examines research on artificial intelligence in science education conducted between 2019 and 2023 (the last five years) through bibliometric analysis, utilizing the Web of Science database. VOSviewer was used for the analysis. As a result of scanning the Web of Science database under these criteria, 867 studies were identified. Analyzing the distribution of these 867 publications by year reveals a concentration in 2023 and 2022. In terms of publication distribution by country, the leading contributors were the USA, China and Australia. The most prolific authors were identified as D. Gasevic, Z. Xiaoming and S. S. Oyelere. Regarding the number of documents and citations in journals, "Computers & Education" ranked first. The most cited used keywords were "Machine Learning" and "Artificial Intelligence", followed by "Learning Analytics", "Data Science" and "Higher Education". The findings illuminate recent research on artificial intelligence in science education. This study is expected to assist researchers in identifying trends within the field and to provide guidance for future studies.

Background: In Malaysia, the mortality from melioidosis infection was reported to be higher than in other infectious diseases. The research on melioidosis is still limited in Malaysia but slightly increasing. Objectives: The objective of the study was to give an overview of the study designs, statistical methods, and comparison of research in identifying the predictors of melioidosis mortality in Malaysia between January 2010 to December 2021. Data sources: Pubmed/Medline. Study eligibility criteria: Original English-language articles were abstracted. The articles that identified the predictors of melioidosis from mortality in Malaysia only included. Letters to the editor, editorials, reviews, systematic reviews, meta-analysis, case reports, and any other ineligible articles were excluded. Results: A total of eight studies were identified related to predictors of melioidosis mortality in Malaysia. From the selected articles, 87.5% were retrospectively collected. Five out of eight articles (62.5%) used the logistic regression in identifying the predictors of melioidosis mortality. Only one (12.5%) used advanced survival analysis methods of Cox regression analysis. Another 25.0% used Chi-square test. Conclusions: Logistic regression methods remain the most common methods of analysis in publications on predictors of melioidosis mortality in Malaysia while retrospective research designs are preferred. There is a limitation of research in predictors of melioidosis mortality and the use of advanced statistical techniques reported using the melioidosis data in Malaysia. More published research on melioidosis will provide input to the clinicians on a more detailed understanding of how to improve the diagnosis of melioidosis and the prognosis factors of this disease.

Continuing education (CE) plays a crucial role in workforce development and economic growth across Asia, yet the landscape of CE research in the region has not been comprehensively mapped. A comprehensive bibliometric analysis of continuing education (CE) research in Asia from 1972 to 2023 was carried out, utilizing data from the Scopus database to map the evolving landscape of CE research in the region. Findings revealed a significant surge in research output since the late 1990s, with East Asian countries, particularly China, Hong Kong (China), and Taiwan (ROC), emerging as leaders in the field. The analysis uncovers several key patterns: institutional collaborations tend to cluster regionally, there's a noticeable generational gap in researcher's networks, and the healthcare sector dominates CE research topics. Recent trends indicate a shift towards digital learning approaches and learner-centered methodologies. The study also highlights the need for increased cross-border collaborations and expansion of CE research beyond the healthcare sector. This research contributes to a deeper understanding of CE research trends in Asia and provides insights for future directions in the field.

The research on artificial intelligence in mathematics education has attracted much attention from researchers since the last decade. This study aims to provide holistic information about artificial intelligence in mathematics education research using bibliometric analysis. Data for the analysis were extracted from the Scopus database from 1986-2023. The analysis, conducted using R-packages (Bibliometrix) and VOSviewer software, identifies the relevant nations, affiliations, journals, articles, and keywords on artificial intelligence in mathematics education research. The study reveals that 565 documents have been published in 354 journals, with an average annual growth rate of 11.27%. These documents, on average, have received 14.61 citations each. The research field has engaged a total of 1,847 authors, with an average of 3.26 authors contributing to each document. Additionally, 17.17% of these publications involved international co-authorship, indicating a moderate level of global collaboration. Our findings reveal a growing interest in using artificial intelligence as an educational tools and methods, particularly in the United States and China, which lead in publication output and citations. The analysis also reveals emerging trends and research gaps. The keywords such as "virtual reality," "sustainable development," and "COVID-19" reflect recent research focus on artificial intelligence in mathematics education research. Meanwhile, the keywords such as "mathematical literacy," "assessment," and "gamification" identified as underexplored areas, suggesting potential opportunities for future research on artificial intelligence in mathematics education research.

Computer engineering students should develop competences related to the contents of databases design and SQL queries. For this purpose, the recommendations on the convenience of changing the traditional teaching methodology to the flipped classroom are followed. In this article we present a quantitative study in which we compare the potential for the development of engineering students' competences in the design and use of databases of the flipped classroom methodology and the traditional teaching methodology. The results obtained in the evaluation of the subject in two different courses are compared. In the first course, traditional teaching methodology was used. In the second one, flipped classroom was used when its implementation had already been tried and tested. In this article we show evidence that the implementation of the flipped classroom teaching methodology provides different results depending on the learning promoted and on the specific contents in the subject of relational databases. We have found evidence that flipped classroom improve theoretical learning outcomes for database design and in the resolution of non-reproductive activities in the SQL queries block. No conclusive benefits are reported for students' competency development for either of the two content blocks.

Social media is one of the platforms that is popular and familiar to various circles. This technology has penetrated multiple fields, especially education. Many studies have shown the use of social media in the learning process. This study aims to explore the use of social media in science learning environments and their impacts. The method used is a Systematic Literature Review with several stages: Identification, Screening, and Inclusion. This systematic literature review used several databases, including Springer, Wiley, and ERIC. The study was limited to the last eight years, from 2016 to 2023. After screening using the PRISMA method, 30 articles were obtained and used as literature material. The study results show that social media can be one of the media used in learning science. Social media, which are often used in learning, include Facebook, Instagram, YouTube, Twitter, and WhatsApp. Science learning that requires visualization is suitable if learned using social media. The use of social media in this learning also needs to be adjusted to the characteristics and features owned. The findings in the article report that social media positively affects collaboration skills, knowledge, motivation, and student-centered learning. However, there are negative impacts of using social media that disrupt privacy. In addition, there is a need for training at each institution so that the use of social media is more optimal.

Listening, speaking, reading, and writing are important skills in English language learning. However, some students are not successful in learning English due to several factors. The model for improving the English learning skills of students is essential. However, except for the HyFlex learning model, no suitable model for learners has been found following the new normal. This research, therefore, identify the bibliographic keywords of HyFlex learning for the English learning skills of teacher students. According to a total of 465 documents published in the Scopus database, 40 articles met the research inclusion criteria and keywords related to HyFlex learning could be used to guide the development of the model of English language learning skills of students. Findings, the keywords of HyFlex learning for the English learning skills of teacher students 42 keywords related to Hyflex learning that clustered into seven categories: Higher education, Learning environment, Teaching and learning model, Digital technology for learning, Teacher, Student, and English language.

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 study aims to examine the studies on computer-assisted teaching in science teaching in terms of different variables with bibliometric analysis. Scopus database was used to collect the data. The phrase "science education and computer-assisted teaching" was written in Scopus on 11_07_2023, and 1232 publications were found. Since not all data is related to computer-assisted teaching in science education, the Scopus Social Science section was selected and filtered, and 454 publications were subjected to bibliometric analysis. VOSviewer program was used for bibliometric analysis. As a result of the research, most studies on computer-assisted teaching in science education were done in 2010, most articles were preferred as document type, the most frequently used keyword was computer-assisted instruction, the country with the most publications was the United States, and the most cited publication was Leidner and Jarvenpaa (1993) and the most frequently used term is student.

This study conducts a bibliometric analysis to map the research trends and intellectual landscape surrounding the development of scientific literacy assessments in educational contexts from 2019 to 2023. Scientific literacy, which encompasses the ability to comprehend, evaluate, and apply scientific knowledge, has emerged as a crucial competency in science education. However, existing assessment tools often prioritize factual recall over deeper conceptual understanding and critical thinking abilities. To address this gap, there is a need for innovative assessment approaches that holistically evaluate students' scientific literacy across multiple dimensions. Through a systematic analysis of 185 relevant publications from the Scopus database, this study investigates the numerical distribution of literature by year, document type, journal, author, institution, and country. Additionally, it explores the prominent themes, evolving topic trends, and emerging clusters within the scientific literacy assessment research domain. Bibliometric techniques, including citation analysis, coauthorship networks, and keyword co-occurrence mapping, are employed to provide a comprehensive perspective. The findings reveal a steady increase in publications focused on scientific literacy assessments, reflecting the growing recognition of this research area. The analysis identifies highly influential journals, articles, authors, and institutions actively shaping the field. Furthermore, it highlights key research themes, such as secondary education, teacher professional development, and information literacy. However, the integration of scientific literacy assessments with artificial intelligence remains an underexplored area, presenting opportunities for future research.

This contrastive corpus-based study aims to analyze the similarities and differences of two synonyms "important" and "significant" concerning on the degree of formality in their distribution across genres as well as their collocations and semantic preference. The corpus data derived from the Corpus of Contemporary American English (COCA) and the British National Corpus (BNC) which represent varieties of English usage across different cultures (American and British). This study analyzed the top 20 noun collocates with Mutual Information (MI) scores value of at least three. The corpus data from COCA and BNC explored some shared characteristics and contrastive features. The findings discovered that the two adjectives have the same core meaning and degree of formality since their highest frequency in academic texts whereas frequencies are the lowest in informal genres i.e. TV and movie subtitles and fiction. In certain conditions, these synonyms are different in terms of noun collocation due to the fact that these synonyms co-occur with particular noun collocates. Interestingly, the findings also confirm two adjectives are near synonyms as they share only two similar theme of semantic preference. In consequence, the two synonyms cannot be used interchangeably in all contexts. Moreover, it was found that the corpora provide some useful details that are deficient in the dictionary.

This research focuses on the survey and study of building architecture built in approximately 1932-1992, in Nakhon Nayok Province, Thailand with the three research objectives: (1) to study modern architecture buildings in Nakhon Nayok that reach the criteria of modern building value for conservation and lifelong learning, (2) to create a roster of modern buildings in Nakhon Nayok by studying the distinctive features of architecture and its historical, social, economic, educational, and other valuable significances; and (3) to create a valuable buildings database according to modern architecture criteria, to be uploaded to the micro-phishing system, and to publish modern architecture conservation database in digital and photographic files as the database of Nakhon Nayok. The main features of the buildings are consistent with the nature of modern architecture that shows the structure importance, and the use of technology of various materials which shows the advance construction technology in those days. The buildings are as simple as a box. They are useful, respond to the public, worth to society and culture, and contain of historical significance. From the survey and study in Nakhon Nayok, it was found that there were 43 buildings reaching the criteria of modern building value for conservation and were saved in the database in accordance with the micro-phishing model. The details of 43 modern buildings are presented in a digital file format and photo database of modern buildings in Nakhon Nayok to propagate the modern architecture conservation database as a lifelong learning resource for the benefit of interested people.

STEM (Science, Technology, Engineering, and Mathematics) education is a 21st century learning approach that is extremely important to students and children nowadays. Many developed countries have emphasized this approach to early childhood education (ECE). Although there are some challenges in promoting children's cognitive development in preschool, there are some best practices that early childhood educators can use as a guideline in planning, implementing, and evaluating their development at school. Four databases were used to find the best practices consist of Scopus, ERIC, Web of Science, and Science Direct. These databases are consulted to analyze published articles that produce findings on the best practices and challenges of implementing STEM activities that have been recorded either in kindergarten or preschool environments. The findings revealed there were 23 themes for the best practices and 10 themes for challenges that were successfully analyzed. In order to ensure that STEM education can be implemented with better quality in the future, educators should know the best way to implement the activities by practicing the best practices. In addition, educators also need to take action wisely when there are challenges in implementing STEM activities so that children can acquire meaningful experience when participating in the activities.

Students' emotional engagement in the context of second language and foreign language classrooms can be seen as a multidimensional construct to include cognitive, behavioral, social, and emotional dimensions of engagement. In Applied linguistics research, however, the term "engagement" is shared intuitively and optimally for language learning. The aim of this study was to take a step forward and investigate the extent of emotional engagement in online learning environments, and whether such emotional engagement can be used as a quantitative indicator to measure the degree of students' emotional engagement in behavioral, cognitive and social interaction among language learners. The study employed a mixed method research design, with data collected through literature research, questionnaire survey, and in-depth interviews. The findings of the study revealed that online learning interactive experience was significantly and positively correlated with language learners' emotional engagement, particularly due to its ease of use, interactive content, and design. The study also found that the online learning experience indirectly affected emotional engagement by increasing students' motivation and interest in learning. Finally, the study also found factors such as gender, grade level and subject influencing the relationship between the interactive online learning experience and emotional engagement. These findings reveal the positive impact of online learning interactive experiences on language learners' emotional engagement and highlight the mediating role of motivation and interest in learning. The study recommends devising such strategies that enhance language students' learning engagement in online learning environments and facilitate their participation in the learning process. These findings have implications in the form of improvement of language learners' learning experience and emotional engagement, which can also enhance their academic performance.

This study aims to map the landscape of the importance of previous research on computational thinking (CT) in mathematics learning over the last decade. This research is a literature review research, there are 113 publications collected from the Scopus database which are then analyzed using the bibliometric analysis method assisted by the Vosviewer application. The data taken from the Scopus database was refined so that it became 113 publications. The results of the study show that publications are spread across various continents, including America, Asia, Africa, and Europe. The United States and the United Kingdom are the most influential countries and have high cooperation with other countries in this field. The main conclusion from this study is that computational thinking has an important role in learning mathematics and STEM. The integration of computational thinking in the mathematics curriculum can improve students' understanding of mathematics and help them face the challenges of the digital age. In addition, the development of effective training methods for mathematics teachers as well as the assessment of good computational thinking learning tools and platforms can help improve the effectiveness of computational thinking teaching in mathematics contexts. These innovations will help better understand how computational thinking can be effectively integrated in mathematics learning and prepare students for a future filled with digital technologies.

The aim of this study is to reveal the content analysis and trends of studies on misconceptions in biology education. Within the scope of the research, articles containing misconceptions about biology were accessed from the Scopus database. "Biology and misconception" was searched in the title, abstract and keywords in the Scopus database on September 13, 2022. A total of 410 publications about misconceptions in biology education were found in the search. The years of accessed publications were determined between 1970 and 2022. A total of 410 publications were analyzed in the research, regardless of language. According to the data obtained, 53 countries and 143 journals published articles on misconceptions in biology. However, in order to obtain clearer data, 3 articles were determined as the minimum number of articles for a country, and 31 countries and 27 journals were considered in this research. According to this research, in terms of the number of documents, the USA is the most published country with 199 articles, and Turkey is the second most published country with 39 studies. It was also revealed that the most cited countries were the United States, Australia and the United Kingdom, respectively. "CBE Life Sciences Education" and "American Biology Teacher" journals were determined as the journals with the most publications on the subject. In addition, Journal of Research in Science Teaching, CBE Life Sciences Education, International Journal of Science Education, Journal of Biological Education, Evolution: Education and Outreach were identified as the most cited journals in the studies. The results of this study are thought to be important for the future development of studies on misconceptions in biology education. Regarding the results obtained from the research; Different indexes can be used in future studies, and other types of publications such as theses, conference proceedings or books can be used in analyses.

This study examines the correlation between the theory of pragmatic discourse of givenness and CP adverbial clauses from the two datasets: Q1 SCOPUS applied linguistics research articles and Thai undergraduate students' writing. The first set was 24 applied linguistics research articles from journals of "English for Specific Purposes" and "English for Academic Purposes." There were 45 tokens of adverbial clauses. Another set of data collection was 35 participants, majoring in English, whose English proficiency was A2 or elementary based on their "Oxford Placement Test." The second dataset contained 31 tokens of CP adverbial clauses in descriptive and narrative writing. Data was analyzed using "Pearson Correlation" in SPSS29. The first section showed there was a statistically significant relationship between the theory of pragmatic discourse of givenness and CP adverbial clauses in applied linguistics research articles where the p-value was reported at 0.011. The reasons why CP adverbial clauses are used are due to giving the arguments from previous studies. This implied that the SCOPUS writers knew well how to use CP adverbial clauses regarding form, functions and genre. In contrast, the results in the second dataset showed there was a statistically significant relationship between the CP adverbial clauses and non-givenness produced by Thai undergraduate students where the p-value was reported at 0.001. Accordingly, Thai private university students whose English proficiency was elementary used CP adverbial clauses arbitrarily; non-reasonable. This implies that they knew form, but they did not know what are the function CP adverbial clauses which were applied in different genres. It is expected that the results in this study will help Thai undergraduate students improve their usage of CP adverbial clauses accurately and appropriately.

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.