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Hanna Järvenoja; Tiina Törmänen; Emma Lehtoaho; Marjo Turunen; Jasmiina Suoraniemi; Justin Edwards – British Journal of Educational Psychology, 2025
Background: Social context and peers significantly impact students' motivation, especially in collaborative learning settings. However, there is limited evidence on how students strategically influence each other's motivation through socially shared regulation of learning (SSRL). Aims: This study examined secondary school students' SSRL during…
Descriptors: Peer Influence, Cooperative Learning, Group Membership, Student Motivation
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La Ode Ilan; Ashadi Ashadi; John Rey Osben Pelila; Rezkilaturahmi Rezkilaturahmi; Suci Febriyani; Yeni Savitri; Rahmatiya Husain; Saraswati S. – Educational Process: International Journal, 2025
Background/purpose: Despite growing evidence that Project-Based Learning (PjBL) fosters students' Self-Regulated Learning (SRL) skills, the perspectives of those who design and deliver these experiences--teachers--are largely absent from the conversation. Existing studies overwhelmingly focus on students' outcomes, leaving a critical gap in…
Descriptors: Teacher Attitudes, Active Learning, Student Projects, Self Management
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Eyüp Yurt – European Journal of Education, 2025
This study was conducted to explore the complex relationships among task value, self-efficacy, learning style, and mathematics achievement using a moderated mediation analysis. The research group was comprised of 378 eighth-grade students from public schools, selected through a convenient sampling approach. Data were gathered using a demographic…
Descriptors: Cognitive Style, Task Analysis, Self Efficacy, Mathematics Achievement
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Lisa-Angelique Lim; Louise Ainscough; Chris Deneen; Helena Pacitti; Daniel Taylor-Griffiths; Sally A. Male; Sarah Frankland – Student Success, 2025
Generative artificial intelligence (genAI) has the potential to change how we teach and how students learn. While genAI can support learning by offering personalised assistance, improving efficiency, and providing feedback, there are concerns that students may become overly dependent on it, potentially offloading their cognitive and metacognitive…
Descriptors: Artificial Intelligence, Learning Strategies, Self Management, Teaching Methods
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Ala' Z. Aljarabah; Ratib Q. Ashour – Educational Process: International Journal, 2025
Background/purpose: The study aimed to assess the effectiveness of an educational program based on coordination-thinking activities and mental stimulation in improving speaking and creative writing skills among tenth-grade female students in Jordan. In order to achieve the study's objectives, experimental and semi-experimental designs were…
Descriptors: Foreign Countries, Grade 10, Secondary School Students, Females
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Antonia Scholkmann; Maja Højslet Schurer; Cecilie Hviid – Journal of Problem Based Learning in Higher Education, 2025
This article presents a design experiment in which generative artificial intelligence (GAI) was topically integrated into a Problem-based Learning module in a pedagogical study programme with the intention to generate insights for both, future GAI-in-PBL practice and theory. Based on various data (student reports, notes, a focus group interview,…
Descriptors: Artificial Intelligence, Technology Uses in Education, Problem Based Learning, Student Attitudes
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Brady, Anna C.; Kulesza, Amy E.; Hensley, Lauren C.; Wolters, Christopher A.; Sovic, David M.; Breitenberger, Caroline A. – College Student Affairs Journal, 2022
The purpose of the present study was to understand students' perceptions of the impact of a study strategy workshop intervention. For decades, researchers and higher education practitioners have used workshops as a method to buffer against the challenges that college students face. Prior research has supported the value of such interventions;…
Descriptors: Learning Strategies, Intervention, Program Effectiveness, Student Attitudes
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Guerrero, Tricia A.; Griffin, Thomas D.; Wiley, Jennifer – Metacognition and Learning, 2022
Students often struggle with developing understanding from expository science texts. This study explored whether training students to engage in a POE (Predict-Observe-Explain) study strategy might be beneficial when learning from texts that introduce theories by describing experiments and empirical results, a common style in social science…
Descriptors: Textbooks, Comprehension, Psychology, Introductory Courses
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Song, Xin; Yang, Xiantong; Wang, Qiang; Su, Yu; Hong, Jon-Chao – Psychology in the Schools, 2022
Deep learning has gradually appeared in the field of teacher education research and is considered as an effective way to promote teacher professional development. To explore the relationship between teacher gender and deep learning strategies, as well as the mediating role of teachers' deep learning motivation, we conducted a questionnaire survey…
Descriptors: Sex, Gender Differences, Learning Motivation, Learning Strategies
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Braad, Eelco; Degens, Nick; Barendregt, Wolmet; IJsselsteijn, Wijnand – Educational Technology Research and Development, 2022
Digital support during self-regulated learning can improve metacognitive knowledge and skills in learners. Previous research has predominantly focused on embedding metacognitive support in domain-specific content. In this study, we examine a detached approach where digital metacognitive support is offered in parallel to ongoing domain-specific…
Descriptors: Metacognition, Information Technology, Student Attitudes, Learning Strategies
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Keesey-Phelan, Stephanie H.; Axe, Judah B.; Williams, Ashley L. – Analysis of Verbal Behavior, 2022
Problem-solving strategies, such as visual imagining and self-questioning, may assist children with autism spectrum disorder (ASD) in recalling past events. In the current study, at the start of each session, a 7-year-old boy with ASD engaged in a novel activity with a behavior therapist who took pictures of the activity. Ninety minutes later, a…
Descriptors: Young Children, Autism Spectrum Disorders, Problem Solving, Recall (Psychology)
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Restall, Greg C.; Clark, Michele C. – New Directions for Teaching and Learning, 2021
This chapter presents team-based learning (TBL) as a teaching strategy to support self-regulated learning in a community of inquiry. It argues for the inclusion of self-regulated learning as an essential component of Garrison's community of inquiry model, and illustrates how TBL supports and improves the delivery of this online model.
Descriptors: Cooperative Learning, Communities of Practice, Inquiry, Learning Strategies
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Philip Ralph Hulbig – International Journal on Social and Education Sciences, 2024
Public education in the United States is breaking down on two dimensions: its bureaucratic organization and its conceptualization of the learning process. These breakdowns result from attempts to deliver public education using business models and have failed to support the needs of both students and teachers. This breakdown has been further…
Descriptors: Problem Solving, Decision Making Skills, Learning Strategies, Student Centered Learning
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Logan Sizemore; Brian Hutchinson; Emily Borda – Chemistry Education Research and Practice, 2024
Education researchers are deeply interested in understanding the way students organize their knowledge. Card sort tasks, which require students to group concepts, are one mechanism to infer a student's organizational strategy. However, the limited resolution of card sort tasks means they necessarily miss some of the nuance in a student's strategy.…
Descriptors: Artificial Intelligence, Chemistry, Cognitive Ability, Abstract Reasoning
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Katrien Van Poeck; Ellen Vandenplas; Leif Östman – Environmental Education Research, 2024
Knowledge about sustainability problems as it is typically taught does not "per se" lead to action for tackling these problems. Environmental and sustainability education researchers have argued for teaching more action-oriented knowledge. This article addresses the 'didactical work' required for teachers to do so, both in preparing and…
Descriptors: Environmental Education, Sustainability, Teaching Methods, Instructional Development
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