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The metaverse enables learners to engage in inquiry and interact within virtual spaces,offering high levels of immersion, interactivity, and presence. However, previous studieshave primarily focused on affective outcomes, and research on learners’ higher-ordercognition and knowledge generation remains insufficient. This study examined the effectsof metaverse-based ecosystem learning on high school students’ biological knowledgegeneration using functional near-infrared spectroscopy (fNIRS) to measure prefrontal cortexactivation. Twenty-seven 11th-grade students at a local high school were participated,with one class assigned to the experimental group (metaverse-based learning, n = 15) andanother to the control group (video-based learning, n = 12). During the pretest and posttest,students completed biological knowledge generation tasks while brain activation wasrecorded. The experimental group showed significantly more activation than the controlgroup in the right dorsolateral prefrontal cortex (DLPFC), frontopolar prefrontal cortex(FP), and bilateral orbitofrontal cortex (OFC), indicating that learners effectively engaged inobservation, question, hypothesis, experimental design, and hypothesis evaluation—keyprocesses of knowledge generation—along with heightened cognitive and emotionalengagement. These findings support the effectiveness of immersive inquiry-based learningand neuroscientifically informed instructional design and highlight the need to examinegeneralizability across diverse learning contexts.

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권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
기사명 저자명 페이지 원문 목차
Exploring the structural relations influencing K-12 teachers’ acceptance of generative AI in education : an application of the UTAUT model Bonggyu Lee, Dongkuk Lee p. 533-554
Effects of metaverse-based ecosystem learning on knowledge generation in high school students : fNIRS study Bo-Mi Kim, Su-Min Lee, Jin-Sun Park, Yong-Ju Kwon p. 555-570
Prefrontal cortex activation in elementary students during biomimicry-based convergent thinking Sang-Hee Park, Seung-Hyuk Kwon p. 571-581
Behavioral markers of childhood depression from a neurodevelopmental perspective : linguistic fragmentation and hostile projection in chatbot conversations Sihoon Lee, Jaeyong Lee p. 583-600
Development and application of a science inquiry instruction program for big data analysis : focusing on COVID-19 Bo-kyung Kim, Youngshin Kim p. 601-615
(A) comparative analysis of experts’ and elementary and secondary school teachers’ perceptions of the intrinsic and utilitarian importance of science simulation Kyung-won Kim, Jung-ho Byeon p. 617-639
(A) neurophysiological analysis of fish species name memory according to image- and text- based instructional material presentation : focusing on theta and alpha band relative power spectra Yong-Seong Kim, Jin-su Jeong p. 641-657
Evaluating students confidence and learning challenges using Canva-based digital textbooks in zoology Firoz Ahmed, Md Mezanur Rahman, Yong-Ju Kwon p. 659-672
(The) role of prior knowledge and abductive reasoning in pre-service elementary teachers’ scientific experimental design process Naeun Lee, Ilho Yang p. 673-694
Characteristics of “values and attitudes” embedded in achievement standards of the 2022 revised common science curriculum Ewha Kang, Seongsoo Jeon, Yong-Jin Kim p. 695-710
Reflective practice mediated by digital tools : analyzing the learning process through Padlet in a design thinking course Seungyeon Han, Ji Young Lim p. 711-738
Analysis of instructional support functions of virtual manipulatives using a digital typology framework Taekwon Son, Sheunghyun Yeo, Minjin Song p. 739-757