Efektivitas AI-Enhanced Learning Environment (AILE) dalam Meningkatkan Hasil Belajar Mahasiswa pada Mata Kuliah Bioteknologi dan Biologi Sel
Keywords:
AI-Enhanced Learning Environment, biologi sel, bioteknologi, hasil belajar, pendidikan biologi.Abstract
This study aims to evaluate the effectiveness of AI-Enhanced Learning Environment (AILE) in improving student learning outcomes in Biotechnology and Cell Biology courses at the Biology Education Study Program, FKIP Universitas Pasundan. Using a quasi-experimental pre-test–post-test design with 60 students (30 per course), this study implemented AILE over one full semester. Learning outcomes were measured through cognitive tests based on Revised Bloom's Taxonomy (C1–C6), process skill observation sheets, and portfolios. Data analysis used paired t-tests and N-Gain calculations. Results showed significant improvements in learning outcomes in both courses: Biotechnology N-Gain mean 0.62 and Cell Biology 0.64 (medium-high category). The highest improvements occurred in analytical (C4) and evaluative (C5) dimensions. Students also reported high learning satisfaction regarding the adaptivity and instant feedback of the AI system. These findings confirm that AILE has the potential to be an effective learning approach for improving biology students' academic achievement in the digital era
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References
Anderson, L. W., & Krathwohl, D. R. (2001). A taxonomy for learning, teaching, and assessing: A revision of Bloom's taxonomy of educational objectives. Longman.
Bandura, A. (1997). Self-efficacy: The exercise of control. Freeman.
Chen, X., Zou, D., Xie, H., & Cheng, G. (2021). Twenty years of personalized language learning: Topic modeling and knowledge mapping. Educational Technology & Society, 24(1), 205–222.
Dweck, C. S. (2006). Mindset: The new psychology of success. Random House.
Halverson, L. R., & Graham, C. R. (2019). Learner engagement in blended learning environments: A conceptual framework. Online Learning, 23(2), 145–178. https://doi.org/10.24059/olj.v23i2.1481
Hake, R. R. (1998). Interactive-engagement versus traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses. American Journal of Physics, 66(1), 64–74. https://doi.org/10.1119/1.18809
Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign.
Kalyuga, S. (2011). Cognitive load theory: How many types of load does it really need? Educational Psychology Review, 23(1), 1–19. https://doi.org/10.1007/s10648-010-9150-7
Krathwohl, D. R. (2002). A revision of Bloom's taxonomy: An overview. Theory into Practice, 41(4), 212–218. https://doi.org/10.1207/s15430421tip4104_2
Luckin, R. (2018). Machine learning and human intelligence: The future of education for the 21st century. UCL IOE Press.
Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press.
Paas, F., Renkl, A., & Sweller, J. (2003). Cognitive load theory and instructional design: Recent developments. Educational Psychologist, 38(1), 1–4. https://doi.org/10.1207/S15326985EP3801_1
Reeve, J. (2012). A self-determination theory perspective on student engagement. In S. L. Christenson, A. L. Reschly, & C. Wylie (Eds.), Handbook of research on student engagement (pp. 149–172). Springer.
Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4
Trilling, B., & Fadel, C. (2009). 21st century skills: Learning for life in our times. Jossey-Bass.
Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Harvard University Press.
World Economic Forum. (2020). The future of jobs report 2020. WEF. Diakses dari https://www.weforum.org/reports/the-future-of-jobs-report-2020
Zimmerman, B. J. (2000). Attaining self-regulation: A social cognitive perspective. In M. Boekaerts, P. R. Pintrich, & M. Zeidner (Eds.), Handbook of self-regulation (pp. 13–39). Academic Press.
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