TY - GEN
T1 - Concept Identification Visualizer (CIV) using Knowledge Tracing
AU - Huang, Hui Jun
AU - Lai, I. Wei
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
KW - Data Analysis
KW - Embedding Visualization
KW - Knowledge Tracing
UR - http://www.scopus.com/inward/record.url?scp=85174957755&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85174957755&partnerID=8YFLogxK
U2 - 10.1109/ICCE-Taiwan58799.2023.10226995
DO - 10.1109/ICCE-Taiwan58799.2023.10226995
M3 - Conference contribution
AN - SCOPUS:85174957755
T3 - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
SP - 41
EP - 42
BT - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2023
Y2 - 17 July 2023 through 19 July 2023
ER -