Science Teaching Material to Reduce Students’ Intrinsic Load: Implementation of The Deep Learning Approach

DOI

10.2991/978-2-38476-525-6_2How to use a DOI?

Keywords

Science teaching materials; Intrinsic Cognitive load; Deep learning; Cognitive load theory

Abstract

The aim of this research is to know how the science teaching materials that implemented in the deep learning approach influences towards intrinsic cognitive load junior high school students. The lessons were held for 3 step deep learning “learning experience”. Each step contains the science teaching materials and learning strategies that implemented cognitive load theory to reduce students’ intrinsic load. Research design using quasi experimental post test only control group design. The subjects in this study is seventh grade of 60 junior high school students who take science courses at the school. The instrument used in this research is 25 items a subjective measure of difficulty on “matter of substances and their changes”. The answers are then given a score using Paas and Merrienboer efficiency measures formula and the cognitive test analyzed quantitatively with the t-test independent sample. Based on the results of data analysis it can be concluded that science teaching materials that implemented in the deep learning approach can be reduced intrinsic cognitive load junior high school students. The implication of the results of this study is that the deep learning approach can apply cognitive load theory into teaching materials, so that students can learn science more easily through decreasing their intrinsic cognitive load.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Ismail Fikri Natadiwijaya
AU  - Putri Anjarsari
AU  - Yuli Arti
PY  - 2025
DA  - 2025/12/31
TI  - Science Teaching Material to Reduce Students’ Intrinsic Load: Implementation of The Deep Learning Approach
BT  - Proceedings of International Conference on Neuroscience and Learning Technology (ICONSATIN 2025)
PB  - Atlantis Press
SP  - 5
EP  - 11
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-525-6_2
DO  - 10.2991/978-2-38476-525-6_2
ID  - Natadiwijaya2025
ER  -