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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
Connor Haindfield; William Cerbin; Douglas Baumann; Heather Schenck – Chemistry Education Research and Practice, 2024
Two generative approaches to reaction mechanism instruction for novice students were compared to lecture instruction. In both approaches, students were coached to propose selected reaction mechanisms based on prior knowledge. New instructional methods were correlated with increased skill in representations of electron movements and other gains.…
Descriptors: Science Instruction, Teaching Methods, Prior Learning, Science Achievement
Qian Huangfu; Qianmei He; Sisi Luo; Weilin Huang; Yahua Yang – Journal of Computer Assisted Learning, 2025
Background: Video lectures which include the teachers' presence have become increasingly common. As teacher enthusiasm is a nonverbal cue in video lectures, more and more studies are focusing on this topic. However, little research has been carried out on the interactions between teacher enthusiasm and prior knowledge when learning from video…
Descriptors: Chemistry, Science Instruction, Teacher Student Relationship, Teacher Response
Willems, Jonas; Coertjens, Liesje; Tambuyzer, Bart; Donche, Vincent – European Journal of Psychology of Education, 2019
Science students' study success rates in the first year of higher education (FYHE) are problematic. Although a considerable amount of previous research has been carried out to investigate the determinants of students' academic achievement in FYHE, there has been little discussion about the incremental value of non-cognitive factors over and above…
Descriptors: At Risk Students, College Freshmen, Academic Achievement, Science Instruction
Suter, Larry E. – Science Education, 2014
This exploratory analysis of student attendance at science museums finds that student achievement in science and mathematics is somewhat higher for those students who visited science museums frequently during the school year or summer. The strength of the association with cognitive achievement is sufficiently noteworthy to encourage further…
Descriptors: Museums, Science Teaching Centers, Science Achievement, Mathematics Achievement
Akyol, Gulsum; Sungur, Semra; Tekkaya, Ceren – Educational Research and Evaluation, 2010
This study examined the differences in the level of 7th-grade Turkish students' cognitive and metacognitive strategy use (rehearsal, elaboration, organization, critical thinking, and metacognitive self-regulation) in science and investigated the contribution of cognitive and metacognitive strategy use to students' science achievement. The present…
Descriptors: Science Achievement, Learning Strategies, Prior Learning, Cognitive Processes
Chandran, Sarath; And Others – 1985
Evidence from the research literature suggests that a variety of cognitive factors are responsible for chemistry achievement. This investigation examined the role that four cognitive factors, namely, prior knowledge, formal reasoning ability, memory capacity and field independence/dependence, play on achievement in chemistry as measured by tests…
Descriptors: Abstract Reasoning, Academic Achievement, Achievement Tests, Chemistry