LogicEdu: Enhancing Computational Logic Understanding through Web-Based Boolean Logic Simplification Tool

Longfan Li, Chao Wang, Wangzilu Lu, Yuhang Zhang, Leilai Shao, Yanan Sun, Jian Zhao, Yongfu Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - International SoC Design Conference 2024, ISOCC 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages390-391
Number of pages2
ISBN (Electronic)9798350377088
DOIs
StatePublished - 2024
Externally publishedYes
Event21st International System-on-Chip Design Conference, ISOCC 2024 - Sapporo, Japan
Duration: 19 Aug 202422 Aug 2024

Publication series

NameProceedings - International SoC Design Conference 2024, ISOCC 2024

Conference

Conference21st International System-on-Chip Design Conference, ISOCC 2024
Country/TerritoryJapan
CitySapporo
Period19/08/2422/08/24

Keywords

  • Boolean Logic
  • Computer Science Education STEM Education
  • Educational Technology
  • Genetic Algorithms
  • Interactive Learning Tools
  • Logic Optimization
  • Logic Simplification

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