Articles | Open Access | DOI: https://doi.org/10.37547/tajssei/Volume06Issue01-02

UNBOXING UNDERSTANDING: SELF-EXPLANATION PROMPTING AS A KEY TO UNLOCKING DEEP LEARNING IN CALCULUS

Sufyani Marethi , Faculty of Education, University of Sultan Ageng Tirtayasa, Indonesia
Hadi Firdos Prabawanto , Mathematical Education and Natural Science Indonesia University of Education, Indonesia

Abstract

Deep learning in calculus often poses challenges for students, requiring a nuanced approach to foster comprehension. This study explores the efficacy of self-explanation prompting as a key strategy for enhancing deep learning in calculus. The research investigates the impact of guided self-explanation prompts on students' understanding and retention of calculus concepts. By employing a carefully designed intervention, we aim to uncover the mechanisms through which self-explanation facilitates meaningful learning in calculus. The results highlight the potential of self-explanation as a powerful tool in the educational toolkit, shedding light on how it can unlock a deeper understanding of calculus concepts and improve overall learning outcomes.

Keywords

Deep learning, Calculus education, Self-explanation prompting

References

Baddeley, A. (1992). Working Memory. Science, 255, 556 – 559.

Baddeley, A. (2003). Worki ng memory: looking back and looking forward. Nature Reviews. Neurosci ence, 4(10), 829–39.

Baddeley, A. (2010, March 23). Working memory. Current Biology, 20(4), 136–140.

Baddeley, A. (2012). Working memory: theories, models, and controversies. Annual Review of Psychology, 63, 1–29.

Berthold, K., Röder, H., Knörzer, D., Kessler, W., & Renkl, A. (2011). The double-edged effects of explanation prompts. Computers in Human Behavior, 27(1), 69–75.

Bokosmaty, S., Sweller, J., & Kalyuga, S. (2015). Learning Geometry Problem Solving by Studying Worked Examples: Effects of Learner Guidance and Expertise. American Educational Research Journal, 52(2), 307–333.

Booth, J. L., Lange, K. E., Koedinger, K. R., & Newton, K. J. (2013). Using example problems to improve student learning in algebra: Differentiating between correct and incorrect examples. Learning and Instruction,25, 24–34.

Clark, R. C., Nguyen, F., & Sweller, J. (2011). Efficiency in Learning; Evidence-Based Guidlines to Manage Cognitive Load. New York: John Wileyand Son Ltd.

Debue, N., & Leemput, C. van de. (2014). What does germane load mean? An empirical contribution to the cognitive load theory. Frontiers in Psychology, 5(October), 1–12.

Fraenkel, J. R., Wallen, N. E., &Hyun, H. H. (2012). How to Design and Evaluate Research in Education(8th ed.). New York: McGraw-Hill

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Sufyani Marethi, & Hadi Firdos Prabawanto. (2024). UNBOXING UNDERSTANDING: SELF-EXPLANATION PROMPTING AS A KEY TO UNLOCKING DEEP LEARNING IN CALCULUS. The American Journal of Social Science and Education Innovations, 6(01), 07–11. https://doi.org/10.37547/tajssei/Volume06Issue01-02