Research Article
Effectiveness of Using AI-Based Contextual Mathematics Teaching Materials on Integral Material for Improving Mathematical Problem Solving For Civil Enginering Students
@INPROCEEDINGS{10.4108/eai.17-9-2024.2353023, author={Enny Keristiana Sinaga and Nahesson H Panjaitan and Suhairiani Suhairiani}, title={Effectiveness of Using AI-Based Contextual Mathematics Teaching Materials on Integral Material for Improving Mathematical Problem Solving For Civil Enginering Students}, proceedings={Proceedings of the 6th International Conference on Innovation in Education, Science, and Culture, ICIESC 2024, 17 September 2024, Medan, Indonesia}, publisher={EAI}, proceedings_a={ICIESC}, year={2025}, month={1}, keywords={artificial intelligence development integral}, doi={10.4108/eai.17-9-2024.2353023} }
- Enny Keristiana Sinaga
Nahesson H Panjaitan
Suhairiani Suhairiani
Year: 2025
Effectiveness of Using AI-Based Contextual Mathematics Teaching Materials on Integral Material for Improving Mathematical Problem Solving For Civil Enginering Students
ICIESC
EAI
DOI: 10.4108/eai.17-9-2024.2353023
Abstract
This research aims to produce contextual mathematics teaching materials based on artificial intelligence on integral material and the effectiveness of the teaching materials developed to improve students' mathematical problem-solving. This research is Research & Developmental/R&D with a one-group pretest-posttest design. The effectiveness of the teaching materials developed was analyzed in two trials: a small group trial and a large group trial. The results of the Paired Sample t-test (sig.2-tailed < 0.05) show that there is a significant difference in learning outcomes before and after students are taught with artificial intelligence-based contextual mathematics teaching materials on integral material due to the influence of the use of teaching materials developed in organized mathematics learning activities. The results of the effectiveness test using the normalized N-Gain test show that the implementation of teaching materials in small group tests was 59.12% and in large group tests was 72.31% to improve students' mathematical problem-solving.