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Xiaofang Liao; Xuedi Zhang; Zhifeng Wang; Heng Luo – British Journal of Educational Technology, 2024
Formative assessment is essential for improving teaching and learning, and AI and visualization techniques provide great potential for its design and delivery. Using NLP, cognitive diagnostic and visualization techniques designed to analyse and present students' monthly exam data, we developed an AI-enabled visual report tool comprising six…
Descriptors: Artificial Intelligence, Design, Program Implementation, Formative Evaluation
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Chen, Pei-Ying; Hwang, Gwo-Jen – British Journal of Educational Technology, 2019
Flipped classrooms have been recognized as a potential approach that enables students to have flexible time to learn before the class as well as more opportunities to apply knowledge and to interact with peers and the teacher in the class. On the other hand, researchers have pointed out the challenge of engaging students in self-regulated learning…
Descriptors: Blended Learning, Academic Achievement, Metacognition, Foreign Countries
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Bliuc, Ana-Maria; Ellis, Robert; Goodyear, Peter; Piggott, Leanne – British Journal of Educational Technology, 2010
This paper reports on research investigating student experiences of learning through face-to-face and online discussions in a political science course in a large Australian university. Using methodologies from relational research into university student learning, the study investigates associations between key aspects of student learning focusing…
Descriptors: Foreign Countries, Political Science, Academic Achievement, College Students
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Graff, Martin – British Journal of Educational Technology, 2003
Discusses assessment of Web-based instruction and reports results of a study that investigated whether segmentation of information and the provision of an overview of the Web system differentially facilitated learning performance, measured with recall questions and a short essay question, for individuals with different cognitive styles. (LRW)
Descriptors: Academic Achievement, Cognitive Style, Evaluation Methods, Individual Differences
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Ford, Nigel – British Journal of Educational Technology, 1985
This study explores extent to which postgraduate students are able to learn from holist and serialist learning materials and extent to which such competence is predictable by questionnaires. Results indicate 2 of 26 students scored equally well on holist and serialist competence tests, and such competence is predictable from questionnaires. (MBR)
Descriptors: Academic Achievement, Cognitive Style, Doctoral Programs, Epistemology
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Gabriel, J. P.; Pillai, J. K. – British Journal of Educational Technology, 1988
Describes study conducted with undergraduates in India to investigate the selection of suitable learning strategies in science instruction. Highlights include six independent and seven group learning strategies; components of students' learning potential; the influence of different components of learning potential on three achievement levels; and…
Descriptors: Ability Grouping, Academic Achievement, Analysis of Variance, Aptitude Treatment Interaction