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Jingjing Ma; Qingtang Liu; Shufan Yu; Jindian Liu; Xiaojuan Li; Chunhua Wang – British Journal of Educational Technology, 2025
This research employs the fuzzy-set qualitative comparative analysis (fsQCA) method to investigate the configurations of multiple factors influencing scientific concept learning, including augmented reality (AR) technology, the concept map (CM) strategy and individual differences (eg, prior knowledge, experience and attitudes). A quasi-experiment…
Descriptors: Science Education, Scientific Concepts, Comparative Analysis, Qualitative Research
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Hay, David B.; Kehoe, Caroline; Miquel, Marc E.; Hatzipanagos, Stylianos; Kinchin, Ian M.; Keevil, Steve F.; Lygo-Baker, Simon – British Journal of Educational Technology, 2008
This paper shows how concept mapping can be used to measure the quality of e-learning. Six volunteers (all of them 3rd-year medical students) took part in a programme of e-learning designed to teach the principles of magnetic resonance imaging (MRI). Their understanding of MRI was measured before and after the course by the use of concept mapping.…
Descriptors: Concept Mapping, Medical Students, Prior Learning, Instructional Materials
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Lee, Youngmin; Nelson, David W. – British Journal of Educational Technology, 2005
The purpose of this study was to investigate the effects of two types of maps (generative vs. completed) and the amount of prior knowledge (high vs. low) on well-structured and ill-structured problem-solving performance. Forty-four undergraduates who were registered in an introductory instructional technology course participated in the study.…
Descriptors: Program Effectiveness, Prior Learning, Educational Technology, Concept Mapping