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ISSN:
2377-2891(Print); 2377-2905(Online)
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Bimonthly
Editor-in-Chief:
Prof. Eric C. K. Cheng
Associate Executive Editor:
Ms. Jenny Jiang
DOI:
10.18178/ijlt
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Editor-in-Chief
Prof. Eric C. K. Cheng
Professor & Vice President (Academic)
Yew Chung College of Early Childhood Education, Hong Kong, China
As the Editor-in-Chief of IJLT, I invite you to contribute your scholarly work to our esteemed publication. IJLT serves as a beacon for original and impactful academic contributions in the realm of education, fostering multidisciplinary research and development to enhance teaching-learning processes globally. We welcome submissions spanning a wide spectrum of topics, from innovative program development to the integration of digital tools in education. Our scope encompasses areas such as student leadership, diversity in education, and collaborative initiatives, reflecting our commitment to a sustainable and inclusive society. [
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Volume 8, No. 2, June 2022
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The Study on Automated Evaluation of Online Discussion Quality Based on Semantics
Wen-Yan Qin
1
, Shuang Qi
2
, Shu-Yue Zhou
1
, and Chao-Jun Xu
1
1. School of Education Science, Nanjing Normal University, Nanjing, Jiangsu, China
2. Affiliated to Hangzhou No.14 High School, Hangzhou, Zhejiang, China
Abstract
—High-quality discussions are of great significance to promote learning and achieve teaching goals. In this study, content analysis is used to perform semantic analysis on the content of the discussion posted by learners on online learning platform from the perspective of semantic similarity. The semantic similarity of different topics under the course is weighted to obtain the online discussion quality score of the learner. Then the evaluation results from experts discussed with the learner are divided into four levels. The Kappa consistency test and the McNemar paired chi-square test are performed. The experimental results show that there is consistency between the two evaluation methods, and the accuracy rates of the two ranked lower rankings are better. Therefore, the automated evaluation of the online discussion quality of learners based on semantics will play an indispensable role in the selection and sticking of comments on online learning platforms.
Index Terms
—automated evaluation, discussion quality, semantic analysis, semantic similarity
Cite: Wen-Yan Qin, Shuang Qi, Shu-Yue Zhou, and Chao-Jun Xu, "The Study on Automated Evaluation of Online Discussion Quality Based on Semantics," International Journal of Learning and Teaching, Vol. 8, No. 2, pp. 80-85, June 2022. doi: 10.18178/ijlt.8.2.80-85
Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
2-WA3008
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