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Yuan Liang; Ting Ji; Shuying Zhou; Xiaolin Liu; Hao Yan – British Educational Research Journal, 2025
Constructing personalised and effective online language learning models based on individual personality differences is crucial in the field of education. However, there is little research on how to apply these models to students in science and engineering who have varying personality profiles. This study aimed to assess the validity of the Online…
Descriptors: Personality Traits, Language Acquisition, Second Language Learning, College Students
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Zhanna Sagitova; Kehinde Clement Lawrence; Zhazira Abdykhalykova – Educational Process: International Journal, 2025
Background/purpose: The current study examined the possibility of utilising a practice-based learning strategy to enhance the motivation for job retention among student teachers. Materials/methods: These participants were randomly assigned to either the practice-based learning strategy (PBLS) group (44) or to the control group (45). The teachers'…
Descriptors: Learning Strategies, Job Satisfaction, Comparative Analysis, Intervention
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D. Watson; R. Webb; S. Cook; K. Grant – Education and Information Technologies, 2025
This paper investigates undergraduate students' information-seeking behaviour utilising a three-year empirical analysis focusing on students within an Applied Economics module at a UK Higher Education institution. In the first year, students demonstrated proficiency in data identification and analysis. However, they struggled with empirical source…
Descriptors: Internet, Online Searching, Information Seeking, Search Strategies
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Tugçe Gür; E. Helin Yaban – Online Learning, 2025
Considering the spread of distance education worldwide and the acceleration of this situation by the COVID-19 epidemic, this study aimed to explore the relationships between adolescents' academic self-regulation skills and academic performance, and the mediating role of motivational strategies during distance learning. The sample was composed of a…
Descriptors: Foreign Countries, Self Control, Student Motivation, Learning Strategies
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Andreea Dutulescu; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara – Grantee Submission, 2025
The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…
Descriptors: Scoring, Computational Linguistics, Computer Software, Artificial Intelligence
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Andreea Dutulescu; Stefan Ruseti; Mihai Dascalu; Danielle McNamara – International Educational Data Mining Society, 2025
The assessment of student responses to learning-strategy prompts, such as self-explanation, summarization, and paraphrasing, is essential for evaluating cognitive engagement and comprehension. However, manual scoring is resource-intensive, limiting its scalability in educational settings. This study investigates the use of Large Language Models…
Descriptors: Scoring, Computational Linguistics, Computer Software, Artificial Intelligence
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Xiaofei Zhao – International Journal of Web-Based Learning and Teaching Technologies, 2025
With the development of teaching theory, teaching workers gradually realize the importance of reading ability. Based on the development of new literature, this paper analyzes the relationship between students' reading ability and curriculum training through models. Combined with teaching cases, this paper integrates network-based learning…
Descriptors: Reading Ability, Reading Instruction, Learning Strategies, Teaching Methods
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Ali Mohammadian-Khatir; Amirali Tabatabai-Adnani; Ali Barahmand; Mohammad Ali Fariborzi-Araghi – REDIMAT - Journal of Research in Mathematics Education, 2025
The purpose of this study is to investigate students' thinking of direct, inverse and nonproportional problems. Thirty two seventh grade students from three different government schools participated in this study. To collect the data, the participants were asked to solve 9 open-ended problems, including 3 direct, 3 inverse and 3 non-proportional…
Descriptors: Thinking Skills, Mathematics Skills, Problem Solving, Middle School Mathematics
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Ayob, Hisham Hanfy; Daleure, Georgia; Solovieva, Nadia; Minhas, Wasif; White, Timothy – Journal of Applied Research in Higher Education, 2023
Purpose: The research aims to identify the effectiveness of using the blended learning strategy on achievement among students of higher colleges of technology in the United Arab Emirates (UAE), through the answer to the following question: Is there a statistically significant difference at the significance level (a = 0.05) in students'…
Descriptors: Instructional Effectiveness, Blended Learning, Learning Strategies, Academic Achievement
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Blackford, Katherine A.; Greenbaum, Julia C.; Redkar, Nikita S.; Gaillard, Nelson T.; Helix, Max R.; Baranger, Anne M. – Chemistry Education Research and Practice, 2023
Problem solving is a key component of authentic scientific research and practice in organic chemistry. One factor that has been shown to have a major role in successful problem solving in a variety of disciplines is metacognitive regulation, defined as the control of one's thought processes through the use of planning, monitoring, and evaluation…
Descriptors: Metacognition, Learning Strategies, Problem Solving, Organic Chemistry
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Janssen, Eva M.; van Gog, Tamara; van de Groep, Laura; de Lange, Anne Jóia; Knopper, Roosmarijn L.; Onan, Erdem; Wiradhany, Wisnu; de Bruin, Anique B. H. – Educational Psychology Review, 2023
Students tend to avoid effective but effortful study strategies. One potential explanation could be that high-effort experiences may not give students an immediate feeling of learning, which may affect their perceptions of the strategy's effectiveness and their willingness to use it. In two experiments, we investigated the role of mental effort in…
Descriptors: Cognitive Processes, Difficulty Level, Learning Strategies, Instructional Effectiveness
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Janson, Marc P.; Siebert, Jan; Dickhäuser, Oliver – Social Psychology of Education: An International Journal, 2023
Feedback is a key factor in helping individuals to self-regulate their learning behavior. Informative feedback, as a very basic form of feedback informing learners about the correctness of their answers, can be framed in different ways emphasizing either what was correct or what must be improved. The regulatory focus theory describes different…
Descriptors: Self Control, Electronic Learning, Feedback (Response), Learning Strategies
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Pittalis, Marios; Drijvers, Paul – Educational Studies in Mathematics, 2023
Digital technologies for mathematics education are continuously developing. Still, much remains unknown about how students use these tools and how this affects learning. For example, tablets nowadays come with multi-touch options that allow for a more embodied approach to geometry education, compared to mouse interactions. However, little is known…
Descriptors: Mathematics Instruction, Educational Technology, Geometric Concepts, Geometry
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Steele, John P.; Dyer, Thomas D.; Mandernach, B. Jean – International Journal for the Scholarship of Teaching and Learning, 2023
While potential teaching activities in the online classroom are unlimited, an instructor's teaching time is not. As such, it is essential that online instructors prioritize limited time to instructional strategies that have the greatest impact on student learning. A survey of 413 faculty and 2386 students examined faculty and student perceptions…
Descriptors: Online Courses, Teaching Methods, Academic Achievement, Teacher Attitudes
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Utunen, Heini; Crowder, Ryan; Arabi, Elham; Tokar, Anna; Mattar, Lama – Journal of Educators Online, 2023
This article aims to present learning strategies that can be applied to OpenWHO online courses to primarily increase learning retention and nudge behavior change where applicable. This paper draws on existing research on learning strategies and takes an innovative approach to recommend how these strategies could be applied to learning design to…
Descriptors: Retention (Psychology), Behavior Change, Learning Strategies, Online Courses
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