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Peer reviewed
Direct linkAmine Boulahmel; Fahima Djelil; Gregory Smits – Technology, Knowledge and Learning, 2025
Self-regulated learning (SRL) theory comprises cognitive, metacognitive, and affective aspects that enable learners to autonomously manage their learning processes. This article presents a systematic literature review on the measurement of SRL in digital platforms, that compiles the 53 most relevant empirical studies published between 2015 and…
Descriptors: Independent Study, Educational Research, Classification, Educational Indicators
Di Zou; Haoran Xie; Lucas Kohnke – European Journal of Education, 2025
As artificial intelligence (AI) rapidly transforms educational practices, educators worldwide face an urgent need to develop pedagogic competencies that align with AI's evolving capabilities, yet existing frameworks lack systematic guidance for AI-specific skill development. This article introduces a pioneering framework designed to refine…
Descriptors: Teacher Competencies, Artificial Intelligence, Pedagogical Content Knowledge, Technological Literacy
James C. Jupp – Cultural Studies of Science Education, 2025
What follows is a manifesto to substantiate four theses. "First," science and science education are not what they purport to be and require recategorization as technoscience and technoscience education. "Second," technoscience and technoscience education are constituted in the pernicious whiteness of coloniality and need to be…
Descriptors: Science Education, Sciences, Science Teachers, Activism
Kang, Yewon; Ha, Hyorim; Lee, Hee Seung – Educational Psychology Review, 2023
Natural category learning is important in science education. One strategy that has been empirically supported for enhancing category learning is testing, which facilitates not only the learning of previously studied information (backward testing effect) but also the learning of newly studied information (forward testing effect). However, in…
Descriptors: Science Education, Science Tests, Testing, Classification
Draper, Steve; Maguire, Joseph – ACM Transactions on Computing Education, 2023
The overall aim of this article is to stimulate discussion about the activities within CER, and to develop a more thoughtful and explicit perspective on the different types of research activity within CER, and their relationships with each other. While theories may be the most valuable outputs of research to those wishing to apply them, for…
Descriptors: Computer Science Education, Educational Research, Computer Science, Classification
Kataoka, Yuki; Taito, Shunsuke; Yamamoto, Norio; So, Ryuhei; Tsutsumi, Yusuke; Anan, Keisuke; Banno, Masahiro; Tsujimoto, Yasushi; Wada, Yoshitaka; Sagami, Shintaro; Tsujimoto, Hiraku; Nihashi, Takashi; Takeuchi, Motoki; Terasawa, Teruhiko; Iguchi, Masahiro; Kumasawa, Junji; Ichikawa, Takumi; Furukawa, Ryuki; Yamabe, Jun; Furukawa, Toshi A. – Research Synthesis Methods, 2023
There are currently no abstract classifiers, which can be used for new diagnostic test accuracy (DTA) systematic reviews to select primary DTA study abstracts from database searches. Our goal was to develop machine-learning-based abstract classifiers for new DTA systematic reviews through an open competition. We prepared a dataset of abstracts…
Descriptors: Competition, Classification, Diagnostic Tests, Accuracy
Serra Undurraga, Jacqueline Karen Andrea – International Journal of Qualitative Studies in Education (QSE), 2023
Diffraction has emerged as a concept and methodology through opposing reflexivity. In this paper, I argue that reflexivity and diffraction are not external to each other. In contrast, I propose that they blur into each other and so we do not find ourselves using pure reflexivity or diffraction. Furthermore, I contend that categorically…
Descriptors: Reflection, Epistemology, Classification, Interaction
Laxton, Victoria; Howard, Christina J.; Guest, Duncan; Crundall, David – Applied Cognitive Psychology, 2023
Lifeguards engage in a continuous process of deciding whether swimmers are in danger or not. The variety of behaviours that distressed swimmers show makes it difficult to impart declarative knowledge to this effect during lifeguard training. As an alternative, we propose a novel training tool that requires novice participants to rapidly categorise…
Descriptors: Classification, Aquatic Sports, Safety, Behavior
Senthil Kumaran, V.; Malar, B. – Interactive Learning Environments, 2023
Churn in e-learning refers to learners who gradually perform less and become lethargic and may potentially drop out from the course. Churn prediction is a highly sensitive and critical task in an e-learning system because inaccurate predictions might cause undesired consequences. A lot of approaches proposed in the literature analyzed and modeled…
Descriptors: Electronic Learning, Dropouts, Accuracy, Classification
Hu, Yuanyuan; Donald, Claire; Giacaman, Nasser – International Journal of Artificial Intelligence in Education, 2023
This paper investigates using multi-label deep learning approach to extending the understanding of cognitive presence in MOOC discussions. Previous studies demonstrate the challenges of subjectivity in manual categorisation methods. Training automatic single-label classifiers may preserve this subjectivity. Using a triangulation approach, we…
Descriptors: Classification, MOOCs, Artificial Intelligence, Intelligent Tutoring Systems
Jan Kalenda; Ellen Boeren – International Journal of Lifelong Education, 2025
International organisations have measured adult learning participation since the 1990s, using surveys like the Adult Education Survey (AES) and the Programme for the International Assessment of Adult Competencies (PIAAC). These surveys employ a 'triadic' classification of learning activities -- formal (FAE), non-formal (NFE) and informal learning…
Descriptors: Classification, Adult Education, Adult Students, Participation
Yangmeng Xu; Stefanie A. Wind – Educational Measurement: Issues and Practice, 2025
Double-scoring constructed-response items is a common but costly practice in mixed-format assessments. This study explored the impacts of Targeted Double-Scoring (TDS) and random double-scoring procedures on the quality of psychometric outcomes, including student achievement estimates, person fit, and student classifications under various…
Descriptors: Academic Achievement, Psychometrics, Scoring, Evaluation Methods
Antti Moilanen – Educational Theory, 2025
In this article Antti Moilanen assesses criticisms of Wolfgang Klafki's model of exemplary teaching made by Meinert Meyer and Hilbert Meyer and by Chi-Hua Chu. "Exemplary teaching" is a style of discovery-based teaching in which students study concrete examples of general principles in such a way that they acquire transferable knowledge…
Descriptors: Models, Educational Theories, Educational Philosophy, Criticism
Chih-Yueh Chou; Wei-Han Chen – Educational Technology & Society, 2025
Studies have shown that students have different help-seeking behavior patterns and tendencies and furthermore, that students with certain help-seeking behavior patterns and tendencies may have poor performance (i.e., at-risk students). This study applied an educational data mining approach, including clustering and classification, to analyze…
Descriptors: Student Behavior, Help Seeking, Problem Solving, Information Retrieval
Jennifer Altavilla-Giordano; Nate Monley – TESOL Journal, 2025
This study explores how public school teachers who were classified as English learners (ELs) in childhood make sense of the EL category, and how their beliefs shape their work with students who are designated as ELs. One understudied context in the field of effective education for ELs is the experience of teachers who were personally impacted by…
Descriptors: Teacher Attitudes, Beliefs, Educational Practices, Teaching Experience
