Concept Identification Visualizer (CIV) using Knowledge Tracing

Hui Jun Huang, I. Wei Lai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The COVID-19 pandemic has resulted in an escalation in the demand for online learning, leading to the need for experts, such as experienced math teachers, to classify exercises. However, achieving accurate and effective classification may present challenges due to differing expert opinions and complex exercise concepts. To address this challenge, we propose the use of the Concept Identification Visualizer (CIV). The CIV tool assists experts who lack engineering programming knowledge in comprehending the exercises and evaluating student responses. The tool leverages Knowledge Tracing to extract relevant information from students' answers and presents this data in a visual format. By providing a more comprehensive understanding of the exercises, the experts enable more informed exercise classification based on student feedback and improve the overall effectiveness of online learning.

Original languageEnglish
Title of host publication2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages41-42
Number of pages2
ISBN (Electronic)9798350324174
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Pingtung, Taiwan
Duration: 2023 Jul 172023 Jul 19

Publication series

Name2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings

Conference

Conference2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
Country/TerritoryTaiwan
CityPingtung
Period2023/07/172023/07/19

Keywords

  • Data Analysis
  • Embedding Visualization
  • Knowledge Tracing

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Media Technology
  • Instrumentation

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