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Xieling Chen; Xinyue Li; Di Zou; Haoran Xie; Fu Lee Wang – Educational Technology Research and Development, 2025
Metacognition, which involves the deliberate awareness and analysis of one's own learning and thought processes, has gained significant traction among educational researchers. The burgeoning volume of metacognition studies underscores the importance of examining its current status and evolving trends. Leveraging topic modeling and bibliometrics on…
Descriptors: Metacognition, Bibliometrics, Research Reports, Periodicals
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Lu-Ho Hsia; Gwo-Jen Hwang; Yen-Nan Lin; Jan-Pan Hwang – Educational Technology Research and Development, 2025
In most physical education courses, teachers generally observe and interact with students face-to-face, so as to assess their learning status and provide immediate and appropriate guidance. However, during the COVID-19 pandemic, practical physical education courses moved completely online. Without physical contact, the safety, assessment, and…
Descriptors: Physical Education, Artificial Intelligence, COVID-19, Pandemics
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Brady, Melanie; Rosenthal, Jane L.; Forest, Christopher P.; Hocevar, Dennis – Educational Technology Research and Development, 2020
The aim of this repeated measures study was to examine an anonymous student feedback system (delivered using clickers) versus a public student feedback system (delivered using flashcards) on 52 graduate learners' metacognition and academic achievement scores. Three dimensions of metacognition were examined in a large lecture setting, including…
Descriptors: Privacy, Feedback (Response), Audience Response Systems, Instructional Materials
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Poitras, Eric G.; Doleck, Tenzin; Lajoie, Susanne P. – Educational Technology Research and Development, 2018
Ill-structured problems, by definition, have multiple paths to a solution and are multifaceted making automated assessment and feedback a difficult challenge. Diagnostic reasoning about medical cases meet the criteria of ill-structured problem solving since there are multiple solution paths. The goal of this study was to develop an adaptive…
Descriptors: Misconceptions, Physicians, Clinical Diagnosis, Problem Solving
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Lin, Hao-Chiang Koong; Chao, Ching-Ju; Huang, Tsu-Ching – Educational Technology Research and Development, 2015
According to Krashen's affective filter hypothesis, students who are highly motivated have their self-consciousness. When they enter a learning context with a low level of anxiety, they are much more likely to become successful language acquirers than those who do not. Affective factors such as motivation, attitude, and anxiety, have a direct…
Descriptors: Anxiety, Tutoring, Second Language Learning, College Students
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Liu, Ming-Chi; Huang, Yueh-Min; Kinshuk; Wen, Dunwei – Educational Technology Research and Development, 2013
It is critical that students learn how to retrieve useful information in hypermedia environments, a task that is often especially difficult when it comes to image retrieval, as little text feedback is given that allows them to reformulate keywords they need to use. This situation may make students feel disorientated while attempting image…
Descriptors: Navigation (Information Systems), Online Searching, Hypermedia, Predictor Variables
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Segedy, James R.; Kinnebrew, John S.; Biswas, Gautam – Educational Technology Research and Development, 2013
Betty's Brain is an open-ended learning environment in which students learn about science topics by teaching a virtual agent named Betty through the construction of a visual causal map that represents the relevant science phenomena. The task is complex, and success requires the use of metacognitive strategies that support knowledge acquisition,…
Descriptors: Artificial Intelligence, Computer Simulation, Computer Mediated Communication, Intelligent Tutoring Systems
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Lee, Hyeon Woo; Lim, Kyu Yon; Grabowski, Barbara L. – Educational Technology Research and Development, 2010
Comprehension of science topics occurs when learners meaningfully generate relationships and conceptions about what they read. In this generation process, learners' cognitive and metacognitive regulation is one of the most critical factors influencing learning. However, learners are not always successful in regulating their own learning,…
Descriptors: Feedback (Response), Undergraduate Students, Structural Equation Models, Learning Strategies