Enhancing students’ critical thinking and visualisation skills through mobile augmented reality

Nor Farhah Saidin

Abstract

Augmented Reality (AR) has emerged in our educational paradigm as a new tool to accelerate change in the teaching and learning process. This technology can improve students_ visualisation skills, which helps them understand abstract concepts, especially in Chemistry. Furthermore, visualisation skills help improve students_ critical thinking. This study was conducted with 16 secondary students. Before and after the intervention, students were required to complete a Purdue Spatial Visualisation Test to measure their visualisation skills. During four weeks of intervention, students explored the content using a mobile augmented reality application for learning chemical bonds (called CBOND) and completed critical thinking tasks each week. This study employed data mining using a decision tree to predict the path to improving students_ visualisation and critical thinking skills in learning chemical bonds. The results revealed that CBOND had a significant effect on students_ visualisation and critical thinking development. Therefore, this study proved that augmented reality technology could help students to visualise abstract concepts, especially in Chemistry, and in turn, foster their higher level of critical thinking. _ 2024 Hong Kong Bao Long Accounting And Secretarial Limited. All rights reserved.

References

Abu, M. S., & Tasir, Z. (2000). Pengenalan kepada analisis data berkomputer: SPSS 10.0 for windows. Venton Publishing.

Akcayir, M., & Akcayir, G. (2017). Advantages and challenges associated with augmented reality for education: A systematic review of the literature. Educational Research Review, 20, 1-11. https://doi.org/10.1016/j.edurev.2016.11.002.

Al-Balushi, S. M., Al-Musawi, A. S., Ambusaidi, A. K., & Al-Hajri, F. H. (2017). The effectiveness of interacting with scientific animations in Chemistry using mobile devices on grade 12 students' spatial ability and scientific reasoning skills. Journal of Science Education and Technology, 26(1), 70-81. https://doi.org/10.1007/s10956-016-9652-2.

Anderson, L. W. & Krathwohl, D. R. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives. Longman.

Ayob, N. F. S., Halim, N. D. A., Zulkifli, N. N., Zaid, N. M., & Mokhtar, M. (2019). Overview of blended learning: The effect of station rotation model on students' achievement. Journal of Critical Reviews, 7(6), 320-326. Retrieved from http://eprints.utm.my/92585/1/NoorDayanaAbd2020_OverviewofBlendedLearningthe Effect.pdf.

Aziz, K. A., Aziz, N. A. A., Yusof, A. M., & Paul, A. (2012). Potential for providing augmented reality elements in special education via cloud computing. Procedia Engineering, 41, 333-339. https://doi.org/10.1016/j.proeng.2012.07.181.

Bakar, M. N., & Ayob, N. A. (2010). Masalah pembelajaran mengenai topik ikatan kimia dalam konteks penyelesaian masalah di kalangan pelajar Tingkatan Empat. Retrieved from http://eprints.utm.my/11556/1/Masalah_Pembelajaran_Mengenai_Topik_Ikatan_Kimia_Dalam_Konteks_Penyelesaian_Masalah_Di_Kalangan_Pelajar_Tingkatan_Empat.pdf.

Becker, S. A., Brown, M., Dahlstrom, E., Davis, A., DePaul, K., Diaz, V., & Pomerantz, J. (2018). NMC horizon report: 2018 higher education edition. EDUCAUSE. Retrieved from https://library.educause.edu/~/media/files/library/2018/8/2018horizonreport.pdf.

Bissell, A. N., & Lemons, P. P. (2006). A new method for assessing critical thinking in the classroom. BioScience, 56(1), 66-72. https://doi.org/10.1641/0006-3568(2006)056[0066:ANMFAC]2.0.CO;2.

Botella, F., Penalver, A., & Borras, F. (2018, September). Evaluating the usability and acceptance of an AR app in learning Chemistry for secondary education. In Proceedings of the XIX International Conference on Human Computer Interaction (Interaccion '18). https://doi.org/10.1145/3233824.3233838.

Borycki, E. M., & Kushniruk, A. W. (2021). Editorial: Knowledge management and elearning: Improving the safety of technologies and devices. Knowledge Management & E-Learning, 13(4), 390-394. https://doi.org/10.34105/j.kmel.2021.13.020.

Buchner, J., & Jeghiazaryan, A. (2020, June). Work-in-progress - The ARI2VE model for augmented reality books. In Proceedings of the 2020 6th International Conference of the Immersive Learning Research Network (iLRN) (pp 287-290). IEEE. https://doi.org/10.23919/iLRN47897.2020.9155110.

Burton, E. P., Frazier, W., Annetta, L., Lamb, R., Cheng, R., & Chmiel, M. (2011). Modeling augmented reality games with preservice elementary and secondary science teachers. Journal of Technology and Teacher Education, 19(3), 303-329. Retrieved from https://www.learntechlib.org/primary/p/37136/.

Cerqueira, C., & Kirner, C. (2012). Developing educational applications with a nonprogramming augmented reality authoring tool. In T. Amiel & B. Wilson (Eds.), Proceedings of the EdMedia 2012 - World Conference on Educational Media and Technology (pp. 2816-2825). Association for the Advancement of Computing in Education. Retrieved from https://www.learntechlib.org/primary/p/41166/.

Chen, P., Liu, X., Cheng, W., & Huang, R. (2017). A review of using augmented reality in education from 2011 to 2016. In E. Popescu et al. (Eds.), Innovations in Smart Learning (pp. 13-18). Springer. https://doi.org/10.1007/978-981-10-2419-1_2.

Cheng, K. H., & Tsai, C. C. (2013). Affordances of augmented reality in science learning: Suggestions for future research. Journal of Science Education and Technology, 22(4), 449-462. http://doi.org/10.1007/s10956-012-9405-9.

Coban, M., Akcay, N. O., & Celik, I. (2022). Using virtual reality technologies in STEM education: ICT pre-service teachers' perceptions. Knowledge Management & ELearning, 14(3), 269-285. https://doi.org/10.34105/j.kmel.2022.14.015.

Cochran, D., Conklin, J., & Modin, S. (2007). A new bloom: Transforming learning. Learning & Leading with Technology, 34(5), 22-25. Retrieved from https://files.eric.ed.gov/fulltext/EJ779824.pdf

Cook, M. P. (2006). Visual representations in science education: The influence of prior knowledge and cognitive load theory on instructional design principles. Science Education, 90(6), 1073-1091. https://doi.org/10.1002/sce.20164.