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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
Quan-Thanh Huynh; Yu-Chuan Yang – Chemistry Education Research and Practice, 2024
Numerous studies have proven the learning benefits of concept maps in science subjects, particularly for students with low prior knowledge. There is a scarcity of research dedicated to the examination of chemistry courses at the university level, and the findings pertaining to academic performance in that subject exhibit a lack of consistency.…
Descriptors: Prior Learning, Concept Mapping, Chemistry, Science Instruction
Jingyun Wang; Adam Wynn; Takahiko Mendori; Gwo-Jen Hwang – Smart Learning Environments, 2024
This study investigates the effect of studying with topic maps provided by a self-developedĀ language learning support system on (a) learning perception, (b) learning achievement and (c) variation in learning attitude and motivation, from the perspective of prior learning attitude, motivation and learning style. An analysis was conducted on the…
Descriptors: Foreign Countries, Learning Management Systems, Grammar, Concept Mapping