Search

This study uses Panadero et al.'s (2021) Deep Learning Strategies Questionnaire to discover EFL learners' strategies from a new perspective. The questionnaire is a newly designed self-report instrument with ground-breaking features constructed with validity and reliability to measure students' actual strategies in real situations. The current study is the first in an EFL context to use this innovative tool. It investigates self-regulation strategies for learning English as a foreign language (EFL) among 430 male EFL college students in Saudi Arabia. The questionnaire enabled us to adopt a micro-level inspection of strategy functions based on an innovative model that can help identify possible avenues for strategy interventions. The results mostly showed a high use of deep language learning strategies in all four questionnaire categories: basic learning, visual elaboration and summarizing, deep information processing, and social learning. Consequently, all the categories had a strong, positive, and significant correlation. In addition, the most used strategies were basic learning strategies, whereas the least used were visual elaboration and summarizing. Our findings provide useful pedagogical implications for promoting EFL learning strategies and strategy instruction. Successfully replicating the Deep Learning Strategies Questionnaire scrutinizes this methodological instrument's validity and reliability and encourages other researchers to use it.

The aim of the study was determining the openness to learning tendencies and metacognitive learning strategies and analysing the predictive relationships between the related variables. The predictive research model was used in the study. Within the research, 499 education faculty students participated. For data collection, "Metacognitive Learning Strategies Scale" and "Tendency to be Open to Learning Scale" were used. The collected data were analyzed using simple linear regression analysis and multiple linear regression analysis. Consequently, it was determined that students frequently use metacognitive learning strategies; their tendencies to be open to learning are at a high level. It was concluded that the tendency to be open to learning significantly predicted the total scores obtained from the metacognitive learning strategies scale. It was concluded that the most predicted variable by the predictive variables together was planning strategies, and the least predicted variable was evaluation strategies. These results show that openness to learning is a vital variable in activating metacognitive learning strategies.

This research determines the student's learning strategies based on their learning styles. This research applied qualitative study. The subject of this research is the students of English literature class A in Universitas Negeri Makassar, who were selected through a purposive sampling technique. Thirty-five students were chosen as the subjects of this study. The data were obtained through questionnaires and interviews and then analyzed based on producers of data analysis identification, classification, and descriptive analysis. The result showed that i) there are some learning styles that students have, such as visual, auditory, and kinesthetic (VAK) learning styles; and ii) students' learning strategies based on their learning style where subjects engaged in several learning activities or methodologies. Two types of learning techniques were primarily considered: individual and group strategies. The individual strategies were marked by all of the activities the subjects had done, and the group strategies described the learning actions employed by the subjects to comprehend the knowledge or the lesson by engaging friends who could help them.

Language learning strategies may have a key role in foreign language learning because they may foster learner autonomy and motivation. Keeping the learner-centred nature of language learning strategies in mind, this study set out to understand the impact of overt listening and reading strategy instruction on learners' listening and reading achievement. The study employed an explanatory mixed-method research design. Research instruments were reading and listening achievement tests and semi-structured interviews. The treatment involved overt listening and reading strategy instruction that lasted for four weeks. The findings revealed that overt listening and reading strategy instruction fostered learners' reading and listening achievement. Similarly, semi-structured interviews revealed that learners were willing to transfer the strategies they learned to new learning situations and keep using these strategies in future learning situations.

The COVID-19 pandemic has led to the disruption of classroom activities and adoption of online teaching-learning in almost all parts of the globe, including India. The sudden switch from classroom blackboards to laptop screens may have influenced students' study approaches, especially with challenges related to technology access and readiness for online learning among Indian students. Since different social and economic factors bring about differences in students' learning, an online survey was conducted with 296 randomly selected undergraduate distance learning (DL) students at Indira Gandhi National Open University to examine how technology access during the pandemic influenced the study approaches of Indian DL students from various marginalized and non-marginalized groups. The research results showed that marginalized students had lower access to technology than did their non-marginalized counterparts, although no gender differences were found in access to technology in both the groups. Lower access to technology was associated with a surface approach to study among the DL students in general and the marginalized students in particular. Females in the marginalized group were found to be at risk in terms of both access to technology and study approaches. The findings were intended to enrich our understanding of the role of technology vis-à-vis distance learners' study approaches during the pandemic and formulate appropriate teaching-learning strategies for the future.

Incorporating ethnoscience into lessons through the ethnoscience-students' worksheet (ESW) is one method to improve student interest in science learning while introducing them to the local culture. However, no research was reported the effects of ESW on students' responses and the factors that influence ESW implementation in science learning. In order to better understand how students learn through ESW, this study investigated the relationship between ethnoscience context, science learning, and the implementation of students' worksheets. Seventy-two students participated in the survey after they studied ethnoscience learning through ESW. Students' responses are more influenced by science learning. In addition, the ethnoscience-integrated students' worksheets (SW) variable indirectly affects students' responses. Additionally, ESW affects students' responses more significantly than science learning and ethnoscience. This research provides insightful implications for educators on planning, designing, and practicing ESW to enhance students' problem-solving motivation and academic achievement. Furthermore, to contribute significantly to future researchers, further research employed the structural equation model through covariance analysis, also known as confirmatory factor analysis (CFA).

Digital history-based project-based learning (PjBL) in history learning is a learning medium that can provide a special attraction for students who can improve historical concept skills and historical awareness. However, there are still many teachers who have not used it, so it is very important to study it. This research aims to analyze the influence of the digital history based PjBL model in improving historical concept skills and historical awareness. The method used is quasi-experimental with two classes, experimental and control. The population used class XI high school students in Lampung, Indonesia and the sample size was 213. Cluster random sampling was used to determine sampling, while data collection was in the form of test instruments. The test instrument questions were analyzed using the gain score and Kruskal-Walli's test to determine the increase in historical concept skills and historical awareness with the help of statistical package for the social sciences (SPSS) 26. The research results confirmed that digital history based PjBL was effective in increasing historical concept skills and historical awareness with a high score, making it the best choice to overcome obstacles in history learning.

This study aims to reveal the profile of open-start problem-solving with ethnomathematics regarding student learning styles. This research is a qualitative research study on 3 out of 31 students of Junior High School of 3 Magetan taken by purposive sampling. The three students carried out four stages: understanding the problem, planning problem-solving strategies, implementing problem-solving strategies, and reviewing again. The results of the research show that students with a visual learning style solve problems by understanding problems through writing known and being asked and drawing illustrations, planning problem-solving strategies by making examples, carrying out solving strategies by working on the calculation process; students with an auditory learning style solve problems by understanding problems through writing known and being asked, planning strategies by making problems and formulating formulas used, implementing solutions by doing calculations and reviewing; students with a kinesthetic learning style solve problems by understanding issues through writing known and being asked, making examples and writing the formulas used, carrying out solving strategies by applying the calculation process and reviewing the results obtained. However, of the three styles, the results of the accepted work were not correct because they did not write down the conclusions and were not thorough enough.

Academically talented students with autism, also known as twice-exceptional students with autism (2eASD), are increasingly identified in school. These students present challenges to educators who attempt to plan and implement successful instructional opportunities, as teachers' knowledge and use of evidence-based practices (EBPs) for students identified with 2eASD vary. The purpose of this qualitative study was to identify current practices used by 10 high-school content and special education teachers who teach these students, as well as their recommendations for postsecondary institutions for these students. The findings suggest high-school teachers support the use of differentiated, strength-based individualized instruction for college-bound students with 2eASD, but are generally unable to offer specific examples of how these practices are implemented in their special education or content classrooms. In addition, they seldom focus on the strengths and talents of this population in their classrooms and fail to recommend competitive colleges for their consideration.

This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring with data-driven insights. The research employs a pretest-posttest random assignment experimental design, utilizing three experimental groups and a control group, with a total of 484 EFL students specializing in teaching English as a foreign language participating in the study. Data collection involves pre- and post-tests, questionnaires, and interviews to assess the influence of AIAL strategies on cognitive load and learning outcomes. Cognitive load is measured using the Cognitive Load Scale, while pretest-posttest assessments evaluate the efficacy of AIAL interventions across various language skills. These results contribute to the existing body of AIAL research by offering empirical evidence for the effectiveness of specific strategies in optimizing language learning experiences. The implications of this study extend to educators, researchers, and developers in the field of AIAL, emphasizing the potential of AIAL to enhance language acquisition processes and inform instructional design practices.

Extant literature has preliminarily confirmed the potential benefits of holographic projections for educational purposes. Yet, students' experiences of learning by holographic projection have rarely been addressed. The main purpose of this study was therefore to explore students' conceptions of and approaches to learning by holographic projection. A holographic projection system was devised to assist students in learning the concept of lunar phases. This study also investigated the relationships between students' conceptions and approaches, and determined if there were any variations based on students' learning gains. Phenomenographic analysis was adopted to analyze 30 university students from Taiwan, and a multiple-choice conceptual test was conducted to assess their learning achievements. The main findings indicated that students with conceptions of learning by holographic projection as increasing the presence of a scene or mapping 2D images to 3D structures tended to adopt surface approaches, such as only observing the changes presented in the holographic projection, repetitively operating the system functions without intended purposes, or simply following the instruction guidelines to meet the minimal requirements. However, this study unexpectedly found that students who utilized surface approaches had significantly higher learning gains on the conceptual test than their counterparts did.

This study examined the effects of embodied learning experiences on students' understanding of computational thinking (CT) concepts and their ability to solve CT problems. In a mixed-reality learning environment, students mapped CT concepts, such as sequencing and loops, onto their bodily movements. These movements were later applied to robot programming tasks, where students used the same CT concepts in a different modality. By explicitly connecting embodied actions with programming tasks, the intervention aimed to enhance students' comprehension and transfer of CT skills. Forty-four first- and second-grade students participated in the study. The results showed significant improvements in students' CT competency and positive attitudes toward CT. Additionally, an analysis of robot programming performance identified common errors and revealed how students employed embodied strategies to overcome challenges. The effects of embodied learning and the impact of embodied learning strategies were discussed.

This analysis dissects a piece of information into its parts and determines how they interact in constructing a concept. This study focuses on enhancing the analytical thinking skills of grade 6 students in science and technology courses by implementing inquiry-based learning management. The aim is to meet the minimum requirement of 70 percent and assess student satisfaction with the approach. This work follows a classroom action research approach involving planning, action, observation, and reflection steps. The target group comprises 25 grade 6 students studying in the first semester of the 2022 academic year at an elementary school in Northeast Thailand, selected through purposive sampling. The research tools include six 5E inquiry-based learning plans, an analytical thinking skills test, and a satisfaction questionnaire. Data collection involves implementing the learning plan in two operational cycles, conducting analytical thinking tests, and administering satisfaction questionnaires. The collected data are analyzed to determine achievement levels and satisfaction ratings. The statistics used are mean, standard deviation, and percentage. The findings from the first operational cycle indicate that 76.0% of students did not meet the evaluation criteria. After the second operational cycle, the mean score improved, and all students met the assessment criteria of 70.0%. Overall, the inquiry based learning approach has the potential to enhance analytical thinking skills, and student satisfaction levels were generally positive. These findings highlight the importance of incorporating effective learning management strategies, such as analytical thinking, to improve students' higher-order thinking skills.

This study aimed to investigate students' reflections on using smartphones to enhance vocabulary learning. The sample consisted of 64 college students enrolled in required English as a Foreign Language (EFL) reading course. A twenty-two-item questionnaire was developed to elicit students' reflections on their experiences in terms of three aspects; engagement, vocabulary learning strategies, and attitudes towards smartphone use. The study also explored the effect of previous experiences of smartphones use on the students' reflections. Results showed that students' engagement was generally high, their vocabulary learning strategies had changed, and that their attitudes towards using smartphones to develop their vocabulary were positive. The study also found that there were differences between those who have experience in using smartphones and those who did not, in favour of those with experience. It is recommended that teachers encourage their students to use smartphones to enhance their English language abilities, especially their vocabulary.

Required undergraduate diversity courses often expose students to topics and worldviews which may push them out of their comfort zones and prompt dissonance and even resistance. This paper reports on interviews with 68 faculty members across 16 humanities and social science disciplines at five predominantly white institutions in the Southern United States, detailing how they navigated discussion of controversial topics in required diversity courses. Most instructors aimed to expose students to critical social issues yet were concerned that resistance could disturb the learning process. We identified 20 unique strategies for handling controversial topics in class that included proactively establishing community and safety and normalizing conflict, and reactively acknowledging and surfacing multiple perspectives, as well as connecting content to students' lived experiences. Some instructors also reported a lack of controversy or conflict in their classrooms, which they variously attributed to student characteristics or their own disinclination to promote heated discussion - which, we argue, calls into question the breadth and criteria of many institutionally defined diversity course requirements. We conclude the paper with implications for faculty, educational developers, administrators, and institutions.

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.

We offer a new angle to explain the comprehension of mathematical infinity. We use Action-Process-Object-Schema (APOS) theory to explore the construction of different aspects of the cognitive Object related to this notion. We focus our attention on different ways of interacting with infinity, and how to act on infinite entities. Our aim is to shed light on the nature of mental constructions that take place when individuals deal with mathematical infinity. An infinite union of finite subsets of N provides the context for our theoretical analysis and the design of interviews conducted with graduate students and instructors. In this study we identify three types of Actions with different complexity levels. When these Actions are performed, they lead to the construction of different facets of the associated Object. We question the construction of an Object conception in infinity-related situations and offer an explanation that might change the way we think about the learning of certain mathematical concepts. We discuss the implications of our research for the advancement of APOS theory. We also offer pedagogical suggestions related to the comprehension of mathematical infinity.

The COVID-19 pandemic has led to a shift towards online and blended learning; however, most students and faculty members still report more challenges in online courses regarding social interaction and engagement. This paper aimed to design an interactive blended course following Merrills' first principles of instruction model to develop students' social and emotional learning skills and engagement in higher education. A mixed-method design, including questionnaires and interviews, was used with a sample population which consisted of 90 graduate students and divided into two groups, an experimental and a control group. The results showed that there were statistically significant differences between the experimental and control groups in-terms of social--emotional learning skills and students' engagement due to the high perception of the experimental group. The findings also revealed that the most dominant social--emotional learning skills that appeared to be supported by applying these strategies from the students' point of view were self-awareness and social awareness. The study also found that instructor presence, effective course design and appropriate use of technology significantly influenced students' engagement.

This paper focuses on individual responses to education in crisis, with the strategies of students contextualised and examined within a wider multi-crisis reality. Offering a conceptual framework of social solvation, the proposed model explains how failures in the education system at the macro (state) and meso (institutional) levels translate into young people's behaviours at the individual (micro) level. Based on the analysis of 26 in-depth interviews with young students, we identify and discuss three main micro-rational strategies that the interviewees relied upon to navigate their learning during the pandemic: (1) casualisation (2) customisation and (3) contempt towards the broader system. We argue that the already weak Polish education system was further impaired by the COVID-19 crisis. In response to growing social and educational risks, young people forge and employ highly individualised strategies. As micro-rational social actions essentially bypass the unwieldy education system in a variety of ways, they have vital implications for educational futures.

Successful vocabulary acquisition hinges on the harmonious interplay of various factors. Despite some studies that have been conducted to examine the direct effect of self-regulation on vocabulary learning, few of them tapped into the relationship among self-regulation, motivational beliefs, vocabulary learning strategies and vocabulary proficiency. This study extended previous research by examining whether motivation, self-efficacy and learning strategies mediate the relationship between self-regulation and vocabulary proficiency and investigating whether the relationship varied by gender. Data were extracted from 399 senior secondary school students. Results from structural equation modelling revealed that motivation and self-efficacy mediated the relationship between self-regulated learning capacity and vocabulary learning strategies. Vocabulary learning strategies further mediated the relationships between self-efficacy, motivation and vocabulary proficiency. Meanwhile, the relationship between self-regulation, motivational beliefs, vocabulary learning strategies and vocabulary proficiency held equivalent across genders. Theoretical and practical implications are discussed.

This paper explores co-design in Japanese education for deploying data-driven educational technology and practice. Although there is a growing emphasis on data to inform educational decision-making and personalize learning experiences, challenges such as data interoperability and inconsistency with teaching goals prevent practitioners from participating. Co-design, characterized by involving various stakeholders, is instrumental in addressing the evolving needs of technology deployment. Japan's educational context aligns with co-design implementation, with a learning and evidence analytics infrastructure facilitating data collection and analysis. From the Japanese co-design practice of educational technologies, the paper highlights a 6-phase co-design framework: motivate, pilot, implement, refine, evaluate, and maintain. The practices focus on data-driven learning strategies, technology interventions, and across-context dashboards, covering assorted learning contexts in Japan. By advocating for a co-design culture and data-driven approaches to enhance education in Japan, we offer insights for education practitioners, policymakers, researchers, and industry developers.

The development of digital pedagogy in early childhood education and care (ECEC) is a relevant issue. The role of the ECEC leader in initiating and leading the development of digital pedagogy is important. The aim of this study was to explore the views of ECEC leaders on digital pedagogy and its development, as little research has been done on the subject. The data was collected in the context of continuing professional development for ECEC leaders in Finland. The data consists of 39 development plans that were drawn up by the participants and it was analyzed using qualitative content analysis. The research indicates that ECEC leaders hold diverse perspectives on digital pedagogy but acknowledge the significance of leadership in fostering staff digital skills, formulating a shared strategy, and involving children and the community. The findings suggest that digital pedagogy should be an inherent component of the fundamental mission of ECEC, which centers around play-based learning. The concept of play-based digital pedagogy (PBDP) is proposed as a framework for digital learning in ECEC.

Research on learning strategies and learning motivation in different educational contexts has provided valuable insights, but in this field, low-educated adults remain an understudied population. This study addresses this gap by means of a person-oriented approach and seeks to investigate whether quantitatively and qualitatively different learner profiles can be distinguished among low-educated adults in second-chance education (SCE) by relating three key components of learning: learning motivation, regulation and processing strategies. Five hundred twelve adult learners of six SCE-institutions filled in a Learning and Motivation questionnaire. Latent profile analysis showed the presence of motivational profiles differing both in quantity and quality (i.e. good- versus poor-quality and high- versus low-quantity motivational profiles) and regulatory profiles being distinct in the use of regulation strategies (i.e. self-regulated versus unregulated profiles). Mainly quantitatively different processing profiles were found among low-educated adults (i.e. active, moderate, inactive processing profiles). When integrating all three components of learning, analyses identified two more optimal motivational-learning profiles, combining good-quality motivation with a moderately active use of self-regulation and processing strategies (i.e. good-quality motivation -- self-regulated -- active processing profile and good-quality motivation -- moderate profile) and two more suboptimal profiles in which poor-quality or low-quantity motivation was combined with the inactive use of self-regulation and processing strategies (i.e. poor-quality motivation -- unregulated -- inactive processing profile, low-quantity motivation -- unregulated -- inactive processing profile). A fifth motivational-learning profile exhibited a pattern of poor-quality motivation combined with a moderately-active use of self-regulation and processing strategies.

Although music training has been related to better school performance, the processes that may mediate this improvement are unknown. Given that study habits and techniques are one of the variables most closely related to academic achievement, the present study analyzed the differences in study habits and techniques between children with and without musical training, checking whether the age at which training began is a significant variable and whether study habits and techniques act as a mediator between musical training and academic achievement. A total of 132 children aged 9-12 years from the Autonomous Community of the Basque Country were studied using the Questionnaire of Habits and Study Techniques and school grades. Significant differences were found in the "attitude toward study," "exams and exercises"; "personal and environmental conditions for study"; and general study habits and techniques in favor of children with musical training. In addition, children who started training before the age of seven showed better results in study habits and techniques. In turn, study habits and techniques significantly mediated the relationship between music training and academic achievement. Therefore, music training, especially before the age of seven, seems to have a beneficial effect on academic achievement, which could be explained, at least in part, by study habits and techniques.

In addressing the challenge of fostering functional thinking (FT) in secondary school students, our research centered on the question of how an embodied design can enhance FT's different aspects, including input-output, covariation, and correspondence views. Drawing from embodied cognition theory and focusing on an action- and perception-based task design that uses light ray contexts and different function representations, we developed a digital-embodied learning environment, using the nomogram as a central representation. Our pilot study involving four eighth-grade students provided insights into their physical interactions with these modules through a multi-touch digital interface. Analysis of video and audio recordings from the pilots, including students' hand gestures and verbal expressions, was guided by comparing hypothetical learning activities with the actual learning activities. The results show that (1) a concrete light ray context enables students to ground the abstract mathematical function concept; (2) the bimanual coordinating motion tasks, incorporating the covariation aspect of FT, allow students to connect their bodily experience with function properties; and (3) our embodied and dragging tasks support insight in the conversion between nomograms and graphs of functions, encouraging students' correspondence thinking by providing multiple perspectives to understand, reason about, and manipulate the function. In conclusion, our findings suggest the potential of digital-embodied tasks in fostering FT, evident in students' diverse strategies and reasoning.

Augmented reality (AR) presents significant opportunities for creating authentic learning environments by accurately mirroring real-world objects, contexts, and tasks. The visual fidelity of AR content, seamlessly integrated into the real world, contributes to its perceived authenticity. Despite acknowledging AR's positive impact on learning, scant research explores specific learning strategies within an AR context, and there's a lack of studies linking perceived visual authenticity to these strategies. This study addresses these gaps by surveying learners using AR technology to study the human cardiovascular system, exploring perceived visual authenticity, learning outcomes, and satisfaction. Learners used either (1) AR with the self-explanation learning strategy, (2) AR with the drawing learning strategy, or (3) AR only. Analysis of variance and correlation was used for data analysis. Results indicated no significant differences in perceived visual authenticity and satisfaction among the learning strategy groups. However, groups employing learning strategies showed superior learning outcomes compared to the AR-only group. Crucially, the self-explanation learning strategy significantly enhanced knowledge gain compared to drawing and AR-only groups, indicating that self-explanation, together with the visual input from the AR-learning environment, fosters a more coherent mental representation. This increased learning efficacy was achieved while maintaining a consistent perception of visual authenticity and satisfaction with the learning material. These findings expand the current landscape of AR research by moving beyond media comparison studies.

A review of research on the relationship between academic engagement and burnout reveals three research gaps as most of the research was conducted: i) without analysing all its multiple dimensions; ii) from a variable-centred perspective; and iii) in educational contexts other than higher education. We seek to address these gaps and thus enhance our understanding of the nature of the mentioned relationship. Adopting a person-centred perspective, a latent profile analysis (LPA) was used to identify how all the dimensions of academic engagement and burnout combine in different profiles of higher education students (n=430). Additional analyses were used to validate these LPA profiles by relating them to a set of auxiliary variables (i.e., predictors and outcomes), grounded on theoretical models relevant to higher education. LPA revealed three ordered profiles (burned-out, moderately engaged and engaged) and the additional analyses detected statistically significant associations between predictors (e.g., perceptions of academic quality, perceptions of stress) and profile membership; and between these and outcomes. The latter tended to be ordered from the least to the most desirable in learning strategies (e.g., self-regulation, deep processing) and learning outcomes (e.g., generic skills, satisfaction), with the most desirable generally being associated more with the two engaged profiles than with the burned-out profile. Taken together, the findings i) expand our understanding of the nature of academic engagement and burnout in higher education, suggesting that they are related but independent constructs at different levels (high/low and weaker levels), and ii) hold implications for theory, methodology and educational practice (adjusted to the distinctiveness of the detected profiles).

Retrieval practice is a learning strategy that has repeatedly been found to have positive effects on memory and learning. However, studies indicate that students rarely use retrieval practice on a voluntary basis. The objective of the present study was to examine students' self-regulated use of retrieval practice, and to determine whether sex and individual differences in cognitive and non-cognitive aspects are related to optional use of practice testing. A classroom study was conducted with 146 upper-secondary school students taking courses in mathematics and Swedish. An ABAB design was used to compare students' optional and non-optional use of retrieval practice (i.e., repeated online quizzing). Students performed cognitive tasks to assess working memory capacity and fluid intelligence and completed self-reports of non-cognitive factors related to school achievement, such as grit, need for cognition (NFC), conscientiousness and openness. Quiz use was then compared using paired- and independent-samples t-tests, and hierarchical linear regression analyses explored relations to individual differences. The results showed that students completed significantly fewer quizzes in the optional sections than in the non-optional sections, and that females completed significantly more optional quizzes than males in Swedish, but not in mathematics. Further, the results showed that conscientiousness predicted optional quiz use in mathematics, whereas sex, NFC, conscientiousness, and openness predicted quiz use in Swedish. To conclude, although the findings show a relatively low optional/self-regulated use of practice testing, in line with earlier research, they suggest that sex and non-cognitive factors, such as personality characteristics, can predict optional use of practice testing.

Despite the widely recognized importance of metacognition in language learning, relatively few empirical studies have investigated the role of metacognitive strategies with a cross-linguistic perspective. Drawing on the mixed-method design combining questionnaire and interview data, this study systematically investigated the effects, the transfer potential, and the cross-language facilitation of metacognitive strategies between L1 and L2 contexts. Structural equation modelling (SEM) and multigroup analysis results revealed that metacognitive strategies afforded a more prominent predictive role in English (L2) writing than in Chinese (L1) writing; such strategy use transferred between the two writing contexts, which kept invariant between lower- and higher- L2 proficiency groups and between English and non-English major groups; and there was a cross-language facilitation effect of L1 writing metacognitive strategies on L2 writing performance via the mediation of L2 writing metacognitive strategies. Complementary to the quantitative results, the qualitative interview data was analyzed to provide deep insights into the participating students' metacognitive strategy use in the two task-situated writing. Findings are extensively discussed to offer theoretical and pedagogical implications in this domain.

Being an effective learner is an important pillar supporting success in higher education and beyond. This research aimed to uncover the extent to which undergraduate students use a set of commonly researched learning strategies, as well as to understand how learning strategy usage relates to key self-regulation factors proposed in influential models of self-regulated learning. Undergraduate students from New Zealand (N = 140) were recruited through course management systems, social media, and campus posters. Data were analysed using correlation and multiple regression. Results show that students reported using more learning strategies that are relatively effective than learning strategies that are somewhat less effective. In addition, effort regulation and student engagement were the most consistent predictors of both learning strategy use and self-reported academic achievement. Building on these findings, this research provides important new insights into the associations between learning strategy usage and pivotal factors that support effective self-regulated learning and academic achievement. As we highlight in the article, these insights have key implications for advancing theory and research on self-regulated learning.

Teachers' motivation is a core professional competence that influences their choices in their decision-making, such as promoting self-regulated learning (SRL). Promoting SRL supports students' SRL development and might affect students' motivation to apply strategies. However, the link between teachers' motivation to promote SRL and students' motivation to apply strategies has yet to be empirically investigated. In a multilevel analysis that included 167 lower secondary teachers and their 2,785 students, we analysed the direct and indirect relationships between teachers' self-efficacy and attainment value, the teacher- and student-reported SRL promotion and students' self-efficacy, utility value, attainment value and cost at the class and individual level. Additionally, we investigated the contribution of teacher- and student-reported SRL promotion to find indirect relations. Teachers' self-efficacy was related to teacher-reported SRL promotion, and student-reported SRL promotion was associated with all motivational outcomes at the class and student level except for cost. Further, we found indirect effects between teachers' self-efficacy for SRL promotion and students' values and self-efficacy for SRL via teachers- and students-perceived SRL promotion. No direct effects between teacher and student motivation could be found, and no significant indirect relationships were found for the cost aspect. Regarding how the signal is transmitted, the results show that including student reports of SRL promotion is especially crucial to finding indirect links. However, future studies should employ longitudinal designs and incorporate more nuanced teacher and student motivation measures in SRL to better understand the motivational links between teachers and students.

The present study investigated the profiles of motivational regulation strategies for writing (MRSW) and examined the relationship between learners' use of MRSW and their English writing performance across different profiles. L2 Writing Strategies for Motivational Regulation Questionnaire (L2WSMRQ) was administered to examine the potential profiles with a total of 604 senior high school students. Latent profile analysis yielded three subgroups of motivational regulation strategies for writing: limited, modest and competent regulators. The results of multi-group structural equation modeling revealed the significant effects of motivational regulation strategies on English writing in all three profiles. More importantly, the present study found that the relation between motivational regulation strategies and English writing performance varied across the three profiles. The most salient effect that motivational regulation strategies had was on the learners in the modest MRSW profiles, followed by the competent and limited MRSW profile, displaying a low-high-low pattern. These findings may provide pedagogical implications for EFL teachers.

Self-Regulated Strategy Development (SRSD) is a method designed to explicitly teach students self-regulation skills and help them implement them. While SRSD's beneficial effect on writing quality has been confirmed in a large body of literature, the questions of why, how, and for whom SRSD works remain unclear. To investigate the underlying cognitive and metacognitive mechanisms, and identify the factors that potentially moderate SRSD's effectiveness, we compared fourth- and fifth-graders who either received regular writing instruction or underwent an SRSD intervention in a quasi-experimental setting. Students' abilities to plan, write quality texts, and self-evaluate were measured. Factors that have been demonstrated to be related to writing abilities were assessed to study whether they might facilitate or hinder acquisition of strategies taught in the SRSD intervention. The results indicated that compared with students who received regular writing instruction, students who underwent the SRSD intervention produced higher-quality texts and evaluated their texts' quality more accurately, despite persistent overestimation. Mediation analyses indicated that progress in producing high-quality texts was explained by improvements in students' planning skills, enabling them to write stories that were better-structured and contained more ideas. However, the results also indicated that some students under the SRSD condition struggled to implement the planning strategies they were taught, particularly students with poor working memory. Recommendations for optimizing the SRSD intervention's effectiveness in developing all students' writing skills are discussed.

The present study investigated the extent to which monitoring practice and timely monitoring feedback, contextualized in an online undergraduate biology course, improved students' metacognitive monitoring and learning outcomes. The intervention followed a true experimental design and randomly assigned 162 students into three conditions: a control condition, a monitoring practice (MP) condition, and a monitoring practice and timely monitoring feedback (MP + MF) condition. Students in the control condition received weekly content practice in alignment with the concurrent course content. Students in the MP condition also received weekly content practice but in addition received monitoring practice for each weekly practice session. In the MP + MF condition, students additionally received timely monitoring feedback for each item, which indicated whether they were underconfident, accurate, or overconfident in their answers. Results showed that students across the three conditions reported higher metacognitive awareness and self-efficacy for strategic learning. Additionally, students in the MP + MF condition were more accurate in monitoring their learning, especially in monitoring the difficult knowledge items when compared to the control condition. Students' qualitative judgment justification responses also demonstrated the factors they considered when judging their performance. Implications for future research and practice are discussed.

The aim of this study is to examine the development of self-regulated learning (SRL) of university students in an EFL course via Flipped classroom through a novel measurement roadmap. Microanalytic techniques were used throughout the process rather than students' perceptions at a given moment. SRL skills scores are reported as well as sample testimonies from students as qualitative data used to explain the analytic measures. The study was conducted with 12 students studying at a public university and lasted for 6 weeks. A new system FCMWEB is designed throughout to monitor online SRL development taking Zimmerman (2008) SRL model as a basis. While the forethought phase was monitored in the online sessions and the performance and self-reflection phase were associated with the face-to-face sessions. Records from FCMWEB as microanalytic, worksheet, observation notes and self-reflection form were used as data collection tools. During the study, the sub skills of forethought phase, self-reflection phase and performance phase are analyzed and validated through students' perspectives. The developments in the skills of the forethought and self-reflection phases were between sufficient and advanced levels. The performance phase was mostly sufficient, but also included poor and advanced levels. The results provide implications for course designers and instructors who desire to provide a better flipped classroom experience in EFL for university students.

The present research conducted two experiments with an intelligent tutoring system to investigate the overall and dynamic impact of emotional support from a pedagogical agent (PA). In Experiment 1, a single factor intergroup design was used to explore the impact of PA's emotional support (supportive vs. non-supportive) on learners' emotions, intrinsic motivation, and learning gain. Sixty participants were recruited and randomly assigned to one of the two conditions. Experiment 2 also conducted a single factor between-subjects design to investigated the dynamic patterns between emotions and learning strategies among 30 participants using lag sequential analysis. Results showed that: Compared with the non-supportive pedagogical agent, the supportive pedagogical agent reduced frustration and improved learning gain, but did not increase intrinsic motivation. In addition, learners with the supportive pedagogical agent used more appropriate strategies after frustration and surprise, and use less ineffective strategies after confusion and enjoyment to avoid reaching a wrong answer. If learners did not receive emotional support in such cases, learning strategies following these emotions were more likely lead to negative cognitive results, or negative emotions tended to appear repeatedly. Instructors or PAs should identify learners' emotions in time and provide the appropriate emotional support according to learners' emotions.

Background: While self-regulated learning (SRL) strategy-based writing instruction has been proposed in English as a foreign language (EFL) classrooms, there is insufficient evidence with Japanese EFL learners and little discussion on incorporating online resources into SRL strategy-based writing instruction, despite the availability of various online platforms. Objectives: This study proposed an SRL strategy-based instruction for technology-assisted writing and explored its immediate and sustained impacts on Japanese tertiary EFL learners' writing performance, reported use of SRL strategies, self-efficacy beliefs and perceived acceptance of technology. Methods: The research design used was a pre-experimental pre-test, post-test and delayed post-test design with a quantitative approach using convenience sampling. Participants were 44 students enrolled in an academic writing course at a Japanese university. Over an 8-week period, these students received SRL strategy-based writing instruction supported by online writing resources. The research instruments included writing tests and questionnaires assessing SRL strategies, self-efficacy and technology acceptance at the beginning of the intervention (Time 1), immediately after the intervention (Time 2) and 1 month after the intervention (Time 3). The data analysis techniques involved ANOVA, post-hoc tests, and examination of the effect sizes. Results and Conclusion: The results showed statistically significant improvements in students' writing performance, SRL strategy use, self-efficacy and technology acceptance from Time 1 to Time 2 and persistent impacts at Time 3, suggesting the intervention's potential to improve EFL writing. This study contributes to EFL writing pedagogy by exploring the immediate and sustained impacts of teaching SRL strategies in a technology-enhanced writing environment.

Background: Scholars have confirmed the vital roles of self-regulated learning (SRL) behaviours in predicting task performance, especially within non-linear technology-rich learning environments (TREs). However, few studies focused on the learning costs (e.g., study effort and time-on-task) related to SRL and the efficiency outcome of SRL (i.e., the relative relationship between learning costs and performance). Objectives: This study examined the relationship between students' SRL behaviours and problem-solving efficiency in the context of TREs. Methods: Eighty-two medical students accomplished a diagnostic task in a computer-simulated environment, and they were classified into the efficient or less efficient group according to diagnostic performance and time-on-task. Then we coded students' SRL behaviours from trace data and counted the frequency of each SRL behaviour. The recurrence quantification and lag sequential analyses were performed to extract the dynamic characteristics of SRL behaviours, including recurrent patterns and sequential transitions. Results and Conclusions: Efficient students conducted more frequent Self-reflection behaviours than the less efficient. For the recurrent patterns, efficient students tended to exhibit longer SRL behaviour sequences comprising a variety of different SRL behaviours (e.g., Task Analysis > Add Test > Add Hypotheses > Categorise Evidence) as well as longer sequences of repeated SRL behaviours (e.g., Add Test > Add Test > Add Test > Add Test). Moreover, efficient students exhibited more sequential transitions between different SRL behaviours than less efficient. Takeaways: Overall, this study revealed the effects of SRL on problem-solving efficiency, which inspired researchers to incorporate problem-solving efficiency as an evaluation criterion of SRL processes.

Background: The COVID-19 has accelerated the transition to blended learning (BL) in higher education, prompting a need for further investigation into the efficacy of self-regulated learning strategies (SRLS) in these new educational environments. Objective: The primary goal of this research is to assess the effectiveness of SRLS in BL in higher education over the past five years, with a focus on trends, theoretical underpinnings, methodologies, and their impact on learning outcomes. Methods: This paper used the PRISMA 2020 review process for multiple rounds of screening, encompassing identification, screening, eligibility determination, and final inclusion. Following rigorous screening procedures, a total of 15 SSCI articles were ultimately chosen for analysis. The study design incorporated a comprehensive six-part coding scheme, with the selected articles focusing on SRLS in BL environments within higher education. Results and Conclusions: From 2019 to 2023, research on SRLS in BL environments in higher education has primarily focused on resource management, motivational beliefs, and metacognitive strategies, with a relatively limited emphasis on cognitive strategies. These studies have utilized a diverse range of theoretical frameworks, predominantly employing quantitative and mixed methods. Out of the 15 articles reviewed, 14 clearly indicate that SRLS have a positive impact on learning outcomes. Furthermore, this paper underscores the importance of interdisciplinary research and emphasizes the crucial role played by educators in supporting the implementation of SRLS. Future studies should delve deeper into exploring the effects of individual differences and environmental factors on SRLS.

To maximize our teacher candidates' learning about culturally and linguistically diverse students, we developed and implemented "Case-Based Instructional (CBI) Modules" (Language, Identity, Family, Assumptions) in two teacher preparation courses at a US university. We examined the "Modules'" impacts on teacher candidates' learning, self-efficacy, attitudes, and transfer of learning to novel contexts. Examining the Modules' effectiveness within and across two delivery modes indicated that both "instructor-facilitated" and "instructor-supported" approaches to CBI elicit similar positive attitudes and are effective in enhancing teacher candidates' learning, but not transfer. When teacher candidates' analyses of cases were not facilitated by instructor, however, there were some missed opportunities for learning.

In learning journals, prompts were shown to increase self-regulated learning processes effectively. As studies on effects of long-term prompting are sparse, this study investigates the effects of prompting cognitive and metacognitive self-regulation strategies short-term and long-term in learning journals on learners' strategy use, self-efficacy, and learning outcome. Therefore, 74 university students kept a weekly learning journal as follow-up course work over a period of eight weeks. All students' learning journals included prompts for a short-term period, half of the students were prompted long-term. While self-efficacy was assessed via self-reports, strategy use was measured with self-reports and qualitative data from the learning journals. Learning outcomes were assessed via course exams. Short-term prompting increased self-reported cognitive and metacognitive strategy use, and the quantity of cognitive strategy use. Yet, it did not affect self-efficacy, which predicted the learning outcome. Irrespective whether prompting continued or not, self-reported cognitive and metacognitive strategy use, and self-efficacy decreased. Qualitative data indicate that the quantity of learners' cognitive strategy use kept stable irrespective of the condition. The results indicate that short-term prompting activates cognitive and metacognitive strategy use. Long-term prompting in learning journals had no effect on strategy use, self-efficacy, and performance. Future research should investigate possible enhancers of long-term prompting like feedback, adaptive prompts or additional support.

Based on the sociocultural theory of learning and distributed cognition, using learning aids should benefit students' performance, as learning aids can compensate for a lack of knowledge or skills and reduce strain on short-term memory. The present study investigated the use of a diverse set of learning aids in Grade 8 of vocational education in Flanders (the northern part of Belgium) and whether access to learning aids affects students' mathematics performance. Data from the 2019 national assessment on mathematics were used. The teacher questionnaire showed that learning aids were available in most classes for all students. Overall, the calculator is the most frequently used learning aid, together with the multiplication table and conversion table. A field experiment was conducted, with a condition where students were allowed to use learning aids and a condition where students were not allowed to use learning aids. A multilevel model was used to test for differences. The results revealed that access to learning aids does not significantly increase students' performance, and, thus, access to learning aids does not generate an unfair advantage.

Distance learning, online learning and hybrid learning models have been a part of language education for a long time. The adoption of these models and research focusing on related phenomena have become even more frequent since the breakout of the COVID-19 pandemic in 2019. This mixed-method study examines the relationship between online learning self-efficacy and online self-regulation of preparatory class English as a Foreign Language (EFL) learners to provide a picture of the learners' perspective regarding the online segment of the hybrid education system that was in effect during the mentioned era, to provide deeper insights regarding learner perceptions during such times of emergency. Turkish adaptations of the Online-Learning Self-Efficacy Scale and Online Self-regulated Learning Questionnaire were utilized as data collection instruments. To validate and expand the content of quantitative findings, semi-structured interviews were conducted with a selected group of participants. The findings reveal that preparatory year Turkish EFL learners perceive themselves to be self-efficacious and self-regulated at a satisfactory level in online learning environments. The study provides insight into the learners' perceptions during this period and contributes to filling a significant gap within the field as well as offering new perspectives in case we face similar conditions in the future.

Study habits drive a large portion of how university students study. Some of these habits are not effective in fostering academic achievement. To support students in breaking old, ineffective habits and forming new, effective study habits, an in-depth understanding of what students' study habits look like and how they are both formed and broken is needed. Therefore, in this study, we explored these aspects among first-year university students in six focus group discussions (N = 29). Using a thematic analysis approach, we clustered the data in five themes: "Goals Matter," 'Balancing Perceived Efficiency and Effectiveness when Studying," "Navigating Student Life: from Structured Routines to Self-Regulation Challenges," "the Quest for Effective Habits with Trying to Break Free From the Screen" as subtheme, and the "Motivation Roller Coaster." Findings suggest that students had different study habits depending on their goals. Students had quite accurate metacognitive knowledge about effective learning strategies for long-term learning, but often used other learning strategies they deemed most efficient in reaching their goals. Students indicated intentions to change, but did not prioritize change as their current habits enabled them to pass exams and change was not perceived as adding value. Fluctuations in motivation and transitioning to a self-regulated life hampered students' intentions to form new and break old habits. Next to insights into factors affecting students' behavioral change intentions, the findings suggest the importance of aligning assessment methods with life-long learning and supporting students in their long-term academic goal setting to prioritize study habits which target lasting learning to optimally foster their self-regulated learning.

In the era of 21st century learning, many secondary students with learning disabilities continue to struggle with mathematics problem solving. Emerging evidence suggests self-regulated strategy development can be combined with existing evidence-based and promising practices during mathematics instruction. These practices include explicit instruction, metacognition, use of visual representations, ongoing formative assessment and feedback, multiple examples, and self-regulation. We describe the promising and practical potential of SRSD and STAR, a research-based, metacognitive problem-solving strategy, for instruction in algebraic problem-solving. A practical example is provided to illustrate the combination of practices.

Being able to understand, interpret, and critically evaluate data is necessary for all individuals in our society. Using the PreK-12 Guidelines for Assessment and Instruction in Statistics Education-II (GAISE-II; Bargagliotti et al., 2020) curriculum framework, the current paper outlines five evidence-based recommendations that teachers can use to build understanding of statistical investigation and data analysis for students with mathematics difficulties, including: (1) Explicitly teach important vocabulary related to statistical investigation and data analysis, (2) Introduce the steps and purpose of statistical investigation, (3) Guide students through the statistical investigation process, (4) Link investigative questions to word problem types to solve, and (5) Build understanding of variability throughout.

This qualitative case study examines the cultural adaptation of digital learning tools in Israeli higher education. We explored three questions: (1) How do lecturers experience and implement digital learning tools? (2) What unique challenges and opportunities arise in this cultural context? (3) What strategies do educators employ for culturally sensitive adaptation? Through semi-structured interviews with 15 lecturers, we identified four key themes: balancing traditional and digital pedagogies, cultivating cultural resonance, addressing integration challenges, and developing innovative strategies. These findings informed the Cultural-Adaptation Digital Learning Integration (CADLI) Framework, which extends existing models by centralizing cultural dimensions. Our study reveals that effective cultural adaptation involves 'cultural-technological co-evolution', fundamentally reimagining educational practices. This research contributes valuable insights for policymakers and practitioners navigating technological advancement and cultural preservation in higher education.