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Journal of Science Education and Technology

Erschienen in:

06.10.2022

Effects of Wearable Hybrid AR/VR Learning Material on High School Students’ Situational Interest, Engagement, and Learning Performance: the Case of a Physics Laboratory Learning Environment

verfasst von: Jerry Chih-Yuan Sun, Syuan-Ling Ye, Shih-Jou Yu, Thomas K. F. Chiu

Erschienen in: Journal of Science Education and Technology | Ausgabe 1/2023

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Abstract

This study investigates the effect of incorporating different learning materials (paper textbooks, wearable AR material, and wearable hybrid AR/VR material) in a physics laboratory education on the situational interest, engagement, and learning performance of high school students. The study utilized a quasi-experimental research design. The participants were 105 students, who were assigned to three groups: the traditional learning group, wearable AR group, and wearable hybrid AR/VR group. The instruments included a situational interest scale, an engagement scale, a learning performance test, and an open-ended questionnaire. The results showed that the situational interest and learning performance of the wearable hybrid AR/VR group were significantly higher, compared with that of the traditional learning group. The engagement of the wearable hybrid AR/VR group was significantly higher, compared with that of the other two groups. The wearable hybrid AR/VR material increased situational interest, engagement, and learning performance in the physical laboratory course. This study suggests that instructors can use wearable hybrid AR/VR to enhance situational interest, engagement, and learning performance among learners in science laboratory learning environments.

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Adams Becker, S., Freeman, A., Giesinger Hall, C., Cummins, M., & Yuhnke, B. (2016). NMC/CoSN horizon report: 2016 K-12 edition. The New Media Consortium.

Aiken, L. R. (1997). Psychological testing and assessment (9th ed.). Allyn & Bacon.

Akçayır, M., Akçayır, G., Pektaş, H. M., & Ocak, M. A. (2016). Augmented reality in science laboratories: The effects of augmented reality on university students’ laboratory skills and attitudes toward science laboratories. Computers in Human Behavior, 57, 334–342. https://doi.org/10.1016/j.chb.2015.12.054CrossRef

Bajpai, M. (2013). Developing concepts in physics through virtual lab experiment: An effectiveness study. Techno Learn, 3(1), 43–50.

Barmby, P., Kind, P. M., & Jones, K. (2008). Examining changing attitudes in secondary school science. International Journal of Science Education, 30(8), 1075–1093. https://doi.org/10.1080/09500690701344966CrossRef

Bower, M., & Sturman, D. (2015). What are the educational affordances of wearable technologies? Computers & Education, 88, 343–353. https://doi.org/10.1016/j.compedu.2015.07.013CrossRef

Chang, K.-E., Chang, C.-T., Hou, H.-T., Sung, Y.-T., Chao, H.-L., & Lee, C.-M. (2014). Development and behavioral pattern analysis of a mobile guide system with augmented reality for painting appreciation instruction in an art museum. Computers & Education, 71, 185–197. https://doi.org/10.1016/j.compedu.2013.09.022CrossRef

Chen, A., Darst, P. W., & Pangrazi, R. P. (1999). What constitutes situational interest? Validating a construct in physical education. Measurement in Physical Education and Exercise Science, 3(3), 157–180. https://doi.org/10.1207/s15327841mpee0303_3CrossRef

Chen, A., Darst, P. W., & Pangrazi, R. P. (2001). An examination of situational interest and its sources. British Journal of Educational Psychology, 71(3), 383–400. https://doi.org/10.1348/000709901158578CrossRef

Chen, L.-B., Li, H.-Y., Chang, W.-J., Tang, J.-J., & Li, K.S.-M. (2016). WristEye: Wrist-wearable devices and a system for supporting elderly computer learners. IEEE Access, 4, 1454–1463. https://doi.org/10.1109/ACCESS.2016.2553838CrossRef

Clegg, T., Norooz, L., Kang, S., Byrne, V., Katzen, M., Velez, R., Plane, A., Oguamanam, V., Outing, T., & Yip, J. (2017). Live physiological sensing and visualization ecosystems: An activity theory analysis [Paper presentation]. 2017 CHI Conference on Human Factors in Computing Systems, Denver, CO, United States.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

De Jong, T., Linn, M. C., & Zacharia, Z. C. (2013). Physical and virtual laboratories in science and engineering education. Science, 340(6130), 305–308. https://doi.org/10.1126/science.1230579CrossRef

Dede, C. (2009). Immersive interfaces for engagement and learning. Science, 323(5910), 66–69. https://doi.org/10.1126/science.1167311CrossRef

Di Serio, Á., Ibáñez, M. B., & Kloos, C. D. (2013). Impact of an augmented reality system on students’ motivation for a visual art course. Computers & Education, 68, 586–596. https://doi.org/10.1016/j.compedu.2012.03.002CrossRef

Dunleavy, M., Dede, C., & Mitchell, R. (2009). Affordances and limitations of immersive participatory augmented reality simulations for teaching and learning. Journal of Science Education and Technology, 18(1), 7–22. https://doi.org/10.1007/s10956-008-9119-1CrossRef

Ebel, R. L., & Frisbie, D. A. (1991). Essentials of educational measurement (5th ed.). Prentice-Hall.

Fredricks, J. A., Blumenfeld, P., Friedel, J., & Paris, A. (2005). School engagement. In K. A. Moore & L. H. Lippman (Eds.), What do children need to flourish? Conceptualizing and measuring indicators of positive development (pp. 305–321). Springer.CrossRef

Fredricks, J. A., Blumenfeld, P. C., & Paris, A. H. (2004). School engagement: Potential of the concept, state of the evidence. Review of Educational Research, 74(1), 59–109. https://doi.org/10.3102/00346543074001059CrossRef

Fung, F. M. (2015). Using first-person perspective filming techniques for a chemistry laboratory demonstration to facilitate a flipped pre-lab. Journal of Chemical Education, 92(9), 1518–1521. https://doi.org/10.1021/ed5009624CrossRef

Google. (2018). Tour creator. https://vr.google.com/tourcreator/

Hong, J., Pi, Z., & Yang, J. (2018). Learning declarative and procedural knowledge via video lectures: Cognitive load and learning effectiveness. Innovations in Education and Teaching International, 55(1), 74–81.CrossRef

HP. (2018). HP reveal augmented reality studio. https://www.hpreveal.com/

Ibáñez, M. B., Serio, Á. D., Villarán, D., & Kloos, C. D. (2014). Experimenting with electromagnetism using augmented reality: Impact on flow student experience and educational effectiveness. Computers & Education, 71, 1–13. https://doi.org/10.1016/j.compedu.2013.09.004CrossRef

Itzek-Greulich, H., & Vollmer, C. (2017). Emotional and motivational outcomes of lab work in the secondary intermediate track: The contribution of a science center outreach lab. Journal of Research in Science Teaching, 54(1), 3–28. https://doi.org/10.1002/tea.21334CrossRef

JetRock. (2016). Second generation VRock-II VR glasses. https://www.jetrock-inc.com/

Johnson, L., Becker, S. A., Cummins, M., Estrada, V., Freeman, A., & Hall, C. (2016). NMC horizon report: 2016 higher education edition. The New Media Consortium.

Kang, S., Norooz, L., Oguamanam, V., Plane, A. C., Clegg, T. L., & Froehlich, J. E. (2016). SharedPhys: Live physiological sensing, whole-body interaction, and large-screen visualizations to support shared inquiry experiences [Paper presentation]. 15th International Conference on Interaction Design and Children, Manchester, United Kingdom.

Kirk, R. E. (1996). Practical significance: A concept whose time has come. Educational and Psychological Measurement, 56(5), 746–759. https://doi.org/10.1177/0013164496056005002CrossRef

Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). The Guilford Press.

Kuhn, J., Lukowicz, P., Hirth, M., Poxrucker, A., Weppner, J., & Younas, J. (2016). gPhysics-using smart glasses for head-centered, context-aware learning in physics experiments. IEEE Transactions on Learning Technologies, 9(4), 304–317. https://doi.org/10.1109/TLT.2016.2554115CrossRef

Lee, E.A.-L., & Wong, K. W. (2014). Learning with desktop virtual reality: Low spatial ability learners are more positively affected. Computers & Education, 79, 49–58. https://doi.org/10.1016/j.compedu.2014.07.010CrossRef

Lin, H.C.-S., Yu, S.-J., Sun, J.C.-Y., & Jong, M. S. Y. (2019). Engaging university students in a library guide through wearable spherical video-based virtual reality: Effects on situational interest and cognitive load. Interactive Learning Environments. https://doi.org/10.1080/10494820.2019.1624579CrossRef

Lindgren, R. (2012). Generating a learning stance through perspective-taking in a virtual environment. Computers in Human Behavior, 28(4), 1130–1139. https://doi.org/10.1016/j.chb.2012.01.021CrossRef

Makransky, G., Terkildsen, T. S., & Mayer, R. E. (2017). Adding immersive virtual reality to a science lab simulation causes more presence but less learning. Learning and Instruction, 60, 225–236. https://doi.org/10.1016/j.learninstruc.2017.12.007CrossRef

Markowitz, D. M., Laha, R., Perone, B. P., Pea, R. D., & Bailenson, J. N. (2018). Immersive virtual reality field trips facilitate learning about climate change. Frontiers in Psychology, 9, 2364. https://doi.org/10.3389/fpsyg.2018.02364CrossRef

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill

Parong, J., & Mayer, R. E. (2018). Learning science in immersive virtual reality. Journal of Educational Psychology, 110(6), 785–797. https://doi.org/10.1037/edu0000241CrossRef

Renninger, K. A., Hidi, S., Krapp, A., & Renninger, A. (1992). The role of interest in learning and development. Psychology Press.

Reyes-Aviles, F., & Aviles-Cruz, C. (2018). Handheld augmented reality system for resistive electric circuits understanding for undergraduate students. Computer Applications in Engineering Education, 26(3), 602–616. https://doi.org/10.1002/cae.21912CrossRef

Schmidt, J. A., Rosenberg, J. M., & Beymer, P. N. (2018). A person-in-context approach to student engagement in science: Examining learning activities and choice. Journal of Research in Science Teaching, 55(1), 19–43. https://doi.org/10.1002/tea.21409CrossRef

Sinatra, G. M., Heddy, B. C., & Lombardi, D. (2015). The challenges of defining and measuring student engagement in science. Educational Psychologist, 50(1), 1–13. https://doi.org/10.1080/00461520.2014.1002924CrossRef

Statista. (2016). Forecast user base of the augmented and virtual reality (VR) software market worldwide in 2020 and 2025, by segment. https://www.statista.com/statistics/610126/worldwide-forecast-augmented-and-mixed-reality-software-users-by-segment/

Suh, A., & Prophet, J. (2018). The state of immersive technology research: A literature analysis. Computers in Human Behavior, 86, 77–90. https://doi.org/10.1016/j.chb.2018.04.019CrossRef

Sun, J.C.-Y., & Hsieh, P.-H. (2018). Application of a gamified interactive response system to enhance the intrinsic and extrinsic motivation, student engagement, and attention of English learners. Educational Technology & Society, 21(3), 104–116.

Sun, J.C.-Y., & Rueda, R. (2012). Situational interest, computer self-efficacy and self-regulation: Their impact on student engagement in distance education. British Journal of Educational Technology, 43(2), 191–204. https://doi.org/10.1111/j.1467-8535.2010.01157.xCrossRef

Tapola, A., Veermans, M., & Niemivirta, M. (2013). Predictors and outcomes of situational interest during a science learning task. Instructional Science, 41(6), 1047–1064. https://doi.org/10.1007/s11251-013-9273-6CrossRef

Trowler, V. (2010). Student engagement literature review. https://www.heacademy.ac.uk/system/files/StudentEngagementLiteratureReview_1.pdf

Wang, H.-Y., & Sun, J.C.-Y. (2021). Real-time virtual reality co-creation: Collective intelligence and consciousness for student engagement and focused attention within online communities. Interactive Learning Environments. https://doi.org/10.1080/10494820.2021.1928711CrossRef

Wang, X. (2013). Why students choose STEM majors: Motivation, high school learning, and postsecondary context of support. American Educational Research Journal, 50(5), 1081–1121.CrossRef

Yu, S.-J., Sun, J.C.-Y., & Chen, O.T.-C. (2019). Effect of AR-based online wearable guides on university students’ situational interest and learning performance. Universal Access in the Information Society, 18(2), 287–299. https://doi.org/10.1007/s10209-017-0591-3CrossRef

Titel: Effects of Wearable Hybrid AR/VR Learning Material on High School Students’ Situational Interest, Engagement, and Learning Performance: the Case of a Physics Laboratory Learning Environment
verfasst von: Jerry Chih-Yuan Sun
Syuan-Ling Ye
Shih-Jou Yu
Thomas K. F. Chiu
Publikationsdatum: 06.10.2022
Verlag: Springer Netherlands
Erschienen in: Journal of Science Education and Technology / Ausgabe 1/2023
Print ISSN: 1059-0145
Elektronische ISSN: 1573-1839
DOI: https://doi.org/10.1007/s10956-022-10001-4

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