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Birte Barbian; Thomas Shiozawa; Morris Gellisch; Irene Brunk; Katharina Langer-Fischer; Nicole Wagner; Sina Benker; Michelle Bellstedt; Nils Otto; Dogus Darici – Anatomical Sciences Education, 2025
Learning strategies encompass the diverse approaches students employ to master challenging subjects like anatomy. However, research examining these strategies in isolation remains inconclusive. Recent evidence suggests a shift toward a person-centered paradigm that considers how student subgroups combine multiple learning strategies. This study…
Descriptors: Anatomy, Medical Education, Dentistry, Medical Students
Shu-Fei Hsieh; Hyun-Joo Oh – Journal of Pan-Pacific Association of Applied Linguistics, 2025
Drawing on reflective data from Taiwanese EFL university students, this study investigated how learners interpreted and applied Oxford's Strategic Self-Regulation (S2R) Model in an authentic classroom context. During an 18-week semester, students submitted reflective entries documenting their engagement with 19 S2R strategies. A total of 681…
Descriptors: College Freshmen, Learning Strategies, Learning Processes, Reflection
Tünde Barabási – Acta Didactica Napocensia, 2025
Artificial intelligence is infiltrating our lives and is also gaining ground in education. Failing to acknowledge its presence in higher education, in particular, would be ostrichism. There is a growing body of research on AI in higher education discussing its modes of use and regulatory aspects (Rajki, Nagy & Dingó, 2024; Horváth, 2024;…
Descriptors: Artificial Intelligence, Technology Uses in Education, Preservice Teacher Education, Preservice Teachers
Conrad Borchers; Jiayi Zhang; Hendrik Fleischer; Sascha Schanze; Vincent Aleven; Ryan S. Baker – Journal of Educational Data Mining, 2025
Think-aloud protocols are a standard method to study self-regulated learning (SRL) during learning by problem-solving. Advances in automated transcription and large language models (LLMs) have automated the transcription and labeling of SRL in these protocols, reducing manual effort. However, while effective in many emerging applications, previous…
Descriptors: Artificial Intelligence, Protocol Analysis, Learning Strategies, Classification
Irwanto Irwanto; Esrida Hutahaean – Journal of Turkish Science Education, 2025
STEM education is gaining more attention due to its significant contribution to educational development. The authors employed bibliometric analysis to determine how STEM education research was developing. The study aims to present an up-to-date overview of the STEM education research landscape in the context of higher education from 2002 to 2022.…
Descriptors: Foreign Countries, STEM Education, Educational Research, Higher Education
Ahmet Çelik; Selçuk Özdemir – Instructional Science: An International Journal of the Learning Sciences, 2025
Tinkering learning is a pedagogical strategy that emphasizes hands-on exploration, experimentation, and learning from mistakes in STEM education. It involves using personal fabrication tools, such as a 3D printer, to develop and improve ideas through interactive play. Design-based making activities have gained popularity in K-12 classrooms as they…
Descriptors: Elementary Secondary Education, STEM Education, Hands on Science, Experiential Learning
Patrick H. M. Sins; Lida T. Klaver; Jaap de Brouwer; Tessa H. S. Eysink; Alieke M. van Dijk – Psychology in the Schools, 2025
Supporting students' self-regulated learning (SRL) is essential in education, yet most interventions adopt a one-size-fits-all approach, overlooking individual differences in students' ability to engage in SRL. Tailored instruction requires reliable assessment tools that distinguish between students' "availability" (knowledge) and…
Descriptors: Elementary School Students, Independent Study, Learning Strategies, Inquiry
Shilpi Taneja; Siddhartha Sankar Biswas; Bhavya Alankar; Harleen Kaur – Electronic Journal of e-Learning, 2025
This paper presents the design of a personalized learning agent powered by the Agentic RAG technique. The agent can interpret learners' queries and autonomously decide which tools should be used to generate the most suitable response. When the learner shares an Open Educational Resource (OER) they wish to learn from, the agent first breaks the…
Descriptors: Artificial Intelligence, Natural Language Processing, Open Educational Resources, Individualized Instruction
Shodiqin, Ali; Sukestiyarno, Y. L.; Wardono; Isnarto – European Journal of Educational Research, 2021
Many problems in real life are full of uncertainty. Probabilistic thinking is one way to solve this uncertainty problem. The personality abilities that are interesting to examine include how independent the students are in facing probabilistic solutions. For this reason, it is necessary to study the probabilistic thinking profile of prospective…
Descriptors: Probability, Thinking Skills, Mathematics Teachers, Preservice Teachers
Malmberg, Jonna; Fincham, Oliver; Pijeira-Díaz, Héctor J.; Järvelä, Sanna; Gaševic, Dragan – Journal of Computer Assisted Learning, 2021
Using hidden Markov models (HMM), the current study looked at how learners' metacognitive monitoring is related to their physiological reactivity in the context of collaborative learning. The participants (N = 12, age 16-17 years, three females and nine males) in the study were high school students enrolled in an advanced physics course. The…
Descriptors: Physiology, Metacognition, Cooperative Learning, High School Students
Umair, Muhammad; Basharat, Rukshinda; Bugti, Sana Mairaj – Pakistan Journal of Distance and Online Learning, 2021
Clicking, posting and scrolling are not the only purpose of social media. Social media has become multipurpose forum for the people. In the educational sector, the use of social media as interactive tools which motivate students towards learning. The aim of this research is to investigate the impact of social media on students' learning in Iqra…
Descriptors: Social Media, College Students, Foreign Countries, Learning Strategies
Campbell, Anne; Wick, David; Marcus, Amy; Doll, JoAnn; Yunuba Hammack, Aleena – Studies in Graduate and Postdoctoral Education, 2021
Purpose: The purpose of this study is to explore what new knowledge is gained at academic and professional conferences by describing how this knowledge complements or contradicts campus-based learning and previous experiences of graduate students. Through gaining insights into conference-based learning, researchers and policymakers can create more…
Descriptors: Graduate Students, Conferences (Gatherings), Student Attitudes, Student Experience
Greene, Jeffrey Alan – Metacognition and Learning, 2021
Despite strong evidence that students' self-regulated learning (SRL) capacity and performance predict important academic and lifelong learning outcomes, SRL remains largely absent from educational standards and curricula. That absence has implications for students, surely, but it also affects what pre-service teachers learn and how in-service…
Descriptors: Metacognition, Self Control, Learning Strategies, Preservice Teachers
Andrew Charles Kercher – ProQuest LLC, 2021
To solve an unfamiliar mathematics problem, students of the subject must know more than the appropriate prerequisite content knowledge. They must also know how best to strategically apply their knowledge, how to monitor and gauge the effectiveness of their work, and how to respond (both cognitively and emotionally) to unanticipated results.…
Descriptors: Mathematics Instruction, Problem Solving, College Students, Mathematics Skills
Park, Eunsung; Ifenthaler, Dirk; Clariana, Roy B. – British Journal of Educational Technology, 2023
The real-time and granularized learning information and recommendations available from adaptive learning technology can provide learners with feedback that is personalized. However, at an individual level, learners often experience technological and pedagogical conflicts. Learners have more freedom to accept, ignore or reject the feedback while…
Descriptors: Metacognition, Learning Analytics, Learning Management Systems, Learning Strategies

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