Xiao-Shih: A Self-Enriched Question Answering Bot with Machine Learning on Chinese-Based MOOCs

Autor/inn/en	Hsu, Hao-Hsuan; Huang, Nen-Fu
Titel	Xiao-Shih: A Self-Enriched Question Answering Bot with Machine Learning on Chinese-Based MOOCs
Quelle	In: IEEE Transactions on Learning Technologies, 15 (2022) 2, S.223-237 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Hsu, Hao-Hsuan) ORCID (Huang, Nen-Fu)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1939-1382
DOI	10.1109/TLT.2022.3162572
Schlagwörter	Foreign Countries; Artificial Intelligence; Online Courses; Natural Language Processing; Computer Assisted Testing; Recall (Psychology); Accuracy; Prediction; Probability; Educational Technology; China + Suchen Sie Ihr Suchwort? Ausland; Künstliche Intelligenz; Online course; Online-Kurs; Natürliche Sprache; Abberufung; Vorhersage; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Unterrichtsmedien
Abstract	This article introduces Xiao-Shih, the first intelligent question answering bot on Chinese-based massive open online courses (MOOCs). Question answering is critical for solving individual problems. However, instructors on MOOCs must respond to many questions, and learners must wait a long time for answers. To address this issue, Xiao-Shih integrates many novel natural language processing and machine learning approaches to achieve state-of-the-art performance. Furthermore, Xiao-Shih has a built-in self-enriched mechanism for expanding the knowledge base through open community-based question answering. This article proposes a novel approach, known as spreading question similarity (SQS), which iterates similar keywords on our keyword networks to find duplicate questions. Compared with BERT, an advanced neural language model, the results showed that SQS outperforms BERT on recall and accuracy above a prediction probability threshold of 0.8. After training, Xiao-Shih achieved a perfect correct rate. Furthermore, Xiao-Shih outperforms Jill Watson 1.0, which is a noted question answering bot, on answer rate with the self-enriched mechanism. (As Provided).
Anmerkungen	Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4620076
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01