Facilitating learning in immersive virtual reality: Segmentation, summarizing, both or none?
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Facilitating learning in immersive virtual reality : Segmentation, summarizing, both or none? / Klingenberg, Sara; Fischer, Rachel; Zettler, Ingo; Makransky, Guido.
In: Journal of Computer Assisted Learning, Vol. 39, No. 1, 2023, p. 218-230.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Facilitating learning in immersive virtual reality
T2 - Segmentation, summarizing, both or none?
AU - Klingenberg, Sara
AU - Fischer, Rachel
AU - Zettler, Ingo
AU - Makransky, Guido
N1 - Funding Information: This investigation will be funded by a grant from the Innovation Fund Denmark from the last author. Publisher Copyright: © 2022 The Authors. Journal of Computer Assisted Learning published by John Wiley & Sons Ltd.
PY - 2023
Y1 - 2023
N2 - Introduction: This study investigates the effectiveness of the segmentation principle from the cognitive theory of multimedia learning as well as the effectiveness of the generative learning strategy of summarization in immersive virtual reality (IVR) within a sample of preadolescents. Although previous research has supported the effectiveness of these instructional methods in multimedia learning, it remains unclear whether segmentation, summarization or the combination of both are superior to a stand-alone IVR lesson in facilitating learning. Methods: To address this gap, 190 sixth to seventh grade students learned about the human body in an IVR lesson. Students were randomly assigned to one of four experimental conditions: (a) an IVR lesson divided into four segments (segmentation condition); (b) an IVR lesson, where students summarized after the entire lesson (summarizing condition); (c) an IVR lesson presented in four segments, where students summarized after each segment (combined condition); and (d) an IVR lesson without any manipulation (control condition). Results: Results indicated that, compared to the control condition, adding segmentation or summarization to an IVR lesson leads to better transfer, but not to acquiring more factual knowledge. Combining the two methods did not improve learning. Conclusion: The findings support the evidence that choosing appropriate instructional methods for IVR lessons can foster transfer.
AB - Introduction: This study investigates the effectiveness of the segmentation principle from the cognitive theory of multimedia learning as well as the effectiveness of the generative learning strategy of summarization in immersive virtual reality (IVR) within a sample of preadolescents. Although previous research has supported the effectiveness of these instructional methods in multimedia learning, it remains unclear whether segmentation, summarization or the combination of both are superior to a stand-alone IVR lesson in facilitating learning. Methods: To address this gap, 190 sixth to seventh grade students learned about the human body in an IVR lesson. Students were randomly assigned to one of four experimental conditions: (a) an IVR lesson divided into four segments (segmentation condition); (b) an IVR lesson, where students summarized after the entire lesson (summarizing condition); (c) an IVR lesson presented in four segments, where students summarized after each segment (combined condition); and (d) an IVR lesson without any manipulation (control condition). Results: Results indicated that, compared to the control condition, adding segmentation or summarization to an IVR lesson leads to better transfer, but not to acquiring more factual knowledge. Combining the two methods did not improve learning. Conclusion: The findings support the evidence that choosing appropriate instructional methods for IVR lessons can foster transfer.
KW - immersive virtual reality
KW - secondary school children
KW - segmentation principle
KW - STEM education
KW - summarization
U2 - 10.1111/jcal.12741
DO - 10.1111/jcal.12741
M3 - Journal article
AN - SCOPUS:85137922602
VL - 39
SP - 218
EP - 230
JO - Journal of Computer Assisted Learning
JF - Journal of Computer Assisted Learning
SN - 0266-4909
IS - 1
ER -
ID: 321560074