Aktivitas Kognitif Siswa SMA pada Pembelajaran Eubacteria Menggunakan Laboratorium Virtual Berbasis Augmented Reality
DOI:
https://doi.org/10.31539/f2m4nw36Abstract
This study aimed to obtain information about high school students’ cognitive activities during Eubacteria learning using an AR-based virtual laboratory. This study employed a descriptive approach with a case study method. The participants consisted of 20 tenth-grade high school students. Data on students’ cognitive activities were collected using an observation sheet based on Think-Aloud Protocols (TAPs). Students’ verbal data were coded and categorized according to the types and accuracy of cognitive activities that emerged during learning. The results showed that identifying was the most frequently occurring cognitive activity. The highest frequency of inaccurate cognitive activities occurred when students formulated hypotheses. The mean score of students’ cognitive activities during Eubacteria learning using the AR-based virtual laboratory was 70.28 and was categorized as high. These findings indicate that an AR-based virtual laboratory can facilitate the emergence of various cognitive activities when students learn about Eubacteria.
Keywords: Augmented Reality, Cognitive Activity, Eubacteria, Think-Aloud Protocols, Virtual Laboratory
References
Antonio, R. P., & Castro, R. R. (2023). Effectiveness of virtual simulations in improving secondary students’ achievement in physics: A meta-analysis. International Journal of Instruction, 16(2), 533–556. https://e-iji.net/ats/index.php/pub/article/view/155
Arifin, M., & Rahmatullah, Z. H. (2025). Development of an augmented reality-based interactive digital module for biology learning at High School 76 Jakarta. Journal of Science and Mathematics Education, 1(4), 96–102. https://doi.org/10.70716/josme.v1i4.330
Buchner, J., Buntins, K., & Kerres, M. (2022). The impact of augmented reality on cognitive load and performance: A systematic review. Journal of Computer Assisted Learning, 38(1), 285–303. https://doi.org/10.1111/jcal.12617
Casado, J. G., Tarazona, R., & Cordero, H. (2025). Implementation of LABSTER virtual lab in immunology for innovative teaching and improved learning in veterinary degree. Frontiers in Veterinary Science, 12, Article 1603469. https://doi.org/10.3389/fvets.2025.1603469
Chi, M. T. H. (2000). Self-explaining expository texts: The dual processes of generating inferences and repairing mental models. In R. Glaser (Ed.), Advances in instructional psychology (Vol. 5, pp. 161–238). Lawrence Erlbaum Associates.
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
Cromley, J. G., Snyder-Hogan, L. E., & Luciw-Dubas, U. A. (2010). Cognitive activities in complex science text and diagrams. Contemporary Educational Psychology, 35(1), 59–74. https://doi.org/10.1016/j.cedpsych.2009.10.002
de Koning, B. B., Tabbers, H. K., Rikers, R. M. J. P., & Paas, F. (2009). Towards a framework for attention cueing in instructional animations: Guidelines for research and design. Educational Psychology Review, 21(2), 113–140. https://doi.org/10.1007/s10648-009-9098-7
Eady, M. J., & Lockyer, L. (2013). Tools for learning: Technology and teaching strategies. In P. Hudson (Ed.), Learning to teach in the primary school (pp. 71–89). Cambridge University Press.
Hartman, D. (2011). Perfecting your spread plate technique. Journal of Microbiology & Biology Education, 12(2), 204–205. https://doi.org/10.1128/jmbe.v12i2.324
Hidayati, A. N., Damayanti, Sari, S., Alinda, M. D., Reza, N. R., Anggraeni, S., & Widia, Y. (2019). Infeksi bakteri di kulit. Airlangga University Press.
Kalyuga, S. (2009). Knowledge elaboration: A cognitive load perspective. Learning and Instruction, 19(5), 402–410. https://doi.org/10.1016/j.learninstruc.2009.02.003
Kragten, M., Admiraal, W., & Rijlaarsdam, G. (2015). Students’ learning activities while studying biological process diagrams. International Journal of Science Education, 37(12), 1915–1937. https://doi.org/10.1080/09500693.2015.1057775
Kriz, S., & Hegarty, M. (2007). Top-down and bottom-up influences on learning from animations. International Journal of Human-Computer Studies, 65(11), 911–930. https://doi.org/10.1016/j.ijhcs.2007.06.005
Laricheva, E. N., & Ilikchyan, A. (2023). Exploring the effect of virtual reality on learning in general chemistry students with low visual-spatial skills. Journal of Chemical Education, 100(2), 589–596. https://doi.org/10.1021/acs.jchemed.2c00732
Li, J., & Liang, W. (2024). Effectiveness of virtual laboratory in engineering education: A meta-analysis. PLOS ONE, 19(12), e0316269. https://doi.org/10.1371/journal.pone.0316269
Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). SAGE Publications.
Pamoedji, A. K., Maryuni, & Sanjaya, R. (2017). Mudah membuat game augmented reality dan virtual reality dengan Unity 3D. Elex Media Komputindo.
Park, B., Korbach, A., & Brünken, R. (2020). Does thinking-aloud affect learning, visual information processing, and cognitive load when learning with seductive details as expected from a self-regulation perspective? Computers in Human Behavior, 111, Article 106411. https://doi.org/10.1016/j.chb.2020.106411
Public Health England. (2017). UK standards for microbiology investigations: Inoculation of culture media for bacteriology. Public Health England.
Putra, A. P. (2014). Pengembangan laboratorium virtual untuk kegiatan praktikum dan memfasilitasi pendidikan karakter dalam pembelajaran Biologi. Jurnal Pendidikan Biologi Indonesia, 1(1), 83–92.
Putri, M. H., Sukini, & Yodong. (2017). Mikrobiologi. Kementerian Kesehatan Republik Indonesia.
Rustaman, N. Y. (2013). Strategi belajar mengajar Biologi. FPMIPA Universitas Pendidikan Indonesia.
Sattar, M. A., Maqbool, M. U., Zakir, F., & Billah, M. (2025). Enhancing student engagement through augmented reality in secondary biology education. Frontiers in Education, 10, Article 1628004. https://doi.org/10.3389/feduc.2025.1628004
Schnotz, W. (2014). Integrated model of text and picture comprehension. In R. E. Mayer (Ed.), The Cambridge handbook of multimedia learning (2nd ed., pp. 72–103). Cambridge University Press.
Smith, A. C., & Hussey, M. A. (2005). Gram stain protocols. American Society for Microbiology.
Špernjak, A., & Šorgo, A. (2010). Recent usage of computer-supported laboratory in the biology classroom: Is virtual laboratory an alternative? In Proceedings of the 33rd International Convention MIPRO (pp. 1067–1071). IEEE.
Subran, S., & Mahmud, S. N. D. (2024). Augmented reality technology in biology and life science education: A systematic literature review. International Journal of Academic Research in Progressive Education and Development, 13(1), 1810–1837. https://doi.org/10.6007/IJARPED/v13-i1/20455
Susanti, D., & Rahmat, A. (2025). Analisis kemampuan representasi visual siswa dalam menginterpretasi diagram siklus hidup Bryophyta. Spizaetus: Jurnal Biologi dan Pendidikan Biologi, 6(2), 364–375. https://doi.org/10.55241/spibio.v6i2.564
Sweller, J., Ayres, P., & Kalyuga, S. (2011). Cognitive load theory. Springer. https://doi.org/10.1007/978-1-4419-8126-4
Tian, X., & Ironsi, C. S. (2025). Examining the impact of augmented reality on students’ learning outcomes. Scientific Reports, 15, Article 36957. https://doi.org/10.1038/s41598-025-20833-w
Wang, Y., Ong, S. K., & Nee, A. Y. C. (2018). Enhancing mechanisms education through interaction with augmented reality simulation. Computer Applications in Engineering Education, 26(5), 1552–1564. https://doi.org/10.1002/cae.21951
Wildan, A., Cheong, B. H.-P., Xiao, K., Liew, O. W., & Ng, T. W. (2020). Growth measurement of surface colonies of bacteria using augmented reality. Journal of Biological Education, 54(4), 419–432. https://doi.org/10.1080/00219266.2019.1600571
Zheng, L., Long, M., Chen, B., & Fan, Y. (2023). Promoting knowledge elaboration, socially shared regulation, and group performance in collaborative learning: An automated assessment and feedback approach based on knowledge graphs. International Journal of Educational Technology in Higher Education, 20, Article 46. https://doi.org/10.1186/s41239-023-00415-4
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