LogicEdu: Enhancing Computational Logic Understanding through Web-Based Boolean Logic Simplification Tool
This paper presents a web-based LogicEdu education tool, designed to simplify Boolean logic expressions using genetic algorithms. It provides a user-friendly interface for students to input truth tables and obtain minimized logic expressions. We also explore its educational impact, particularly in enhancing understanding and engagement with Boolean algebra concepts through interactive learning. Preliminary results indicate that there is an improvement in students’ understanding.
Authors
- Wangzilu Lu (ORCID: https://orcid.org/0000-0003-0046-9004)
- Jian Zhao (ORCID: https://orcid.org/0000-0003-2140-1236)
- Leilai Shao (ORCID: https://orcid.org/0000-0001-9388-229X)
- Longfan Li (ORCID: https://orcid.org/0000-0001-9557-7096)
- Yuhang Zhang (ORCID: https://orcid.org/0000-0002-4101-6207)
- Chao Wang (ORCID: https://orcid.org/0000-0002-3245-5849)
- Yongfu Li (ORCID: https://orcid.org/0000-0002-6322-8614)
- Yanan Sun (ORCID: https://orcid.org/0000-0002-4834-6444)
Institutions
- Shanghai Jiao Tong University (CN)
Publication Details
- Published
- 2024-08-19
- DOI
- https://doi.org/10.1109/isocc62682.2024.10762040
- Citations
- 1
- Primary Topic
- Intelligent Tutoring Systems and Adaptive Learning
- Type
- article
- Field-Weighted Citation Impact
- 0.35
Funders
- National Science Foundation