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Article 2023 · 20 citations

An examination of the effectiveness of problem-based learning method supported by augmented reality in science education

Arici, Faruk, Yilmaz, Mehmet

Abstract

BackgroundAugmented reality (AR) is a widely used technology in science education today. Problem-based learning (PBL) is one of the teaching methods employed in science education for a long time. Studies where AR and PBL are used together are new and rare. PBL and AR technology are used together in the study because it is believed that integrating AR technology with PBL increases the effectiveness of PBL. ObjectivesIn the present study, the effect of PBL supported by AR on academic achievement, reflective thinking skills towards problem-solving, decision-making abilities, and the permanence levels of the 7th-grade students were researched. MethodsThe embedded design from mixed methods was used in the study, which had two experimental groups and one control group. For the Experiment-1, Experiment-2, and Control Groups, respectively, PBL supported by AR, PBL alone, and the current teaching method were used. The sample consists of 92 students from the seventh grade. Results and ConclusionsIn terms of academic achievement, reflective thinking skills towards problem-solving, and decision-making abilities, the Experiment-1 Group outperformed the Experiment-2 and Control Groups, and the Experiment-2 Group outperformed the Control Group. It has been discovered that PBL supported by AR is more effective than solely PBL and the currently used teaching method in terms of improving reflective thinking skills towards problem-solving and decision-making abilities, as well as the persistence of academic achievement in a science course.

Keywords
21st-century abilities augmented and virtual reality improving classroom teaching teaching learning strategies DECISION-MAKING SKILLS REFLECTIVE THINKING ACADEMIC-ACHIEVEMENT STUDENTS PERCEPTION TECHNOLOGY SIMULATION KNOWLEDGE SYSTEM CHALLENGES DESIGN
WoS Categories
Education & Educational Research
Citation
Journal
JOURNAL OF COMPUTER ASSISTED LEARNING
Year
2023
Volume
39
Issue
2
Pages
446-476
ISSN
0266-4909
eISSN
1365-2729
DOI
10.1111/jcal.12752
WoS UID
WOS:000888094600001
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