E-QGen: Educational Lecture Abstract-based Question Generation System

An-Zi Yen; Mao-Siang Chen

E-QGen: Educational Lecture Abstract-based Question Generation System

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arxiv 2404.13547 v1 pith:HUVFKTFJ submitted 2024-04-21 cs.CL

Mao-Siang Chen , An-Zi Yen This is my paper · ORCID

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keywords e-qgenlecturesystemabstract-basedgenerationquestionabstractacademic

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To optimize the preparation process for educators in academic lectures and associated question-and-answer sessions, this paper presents E-QGen, a lecture abstract-based question generation system. Given a lecture abstract, E-QGen generates potential student inquiries. The questions suggested by our system are expected to not only facilitate teachers in preparing answers in advance but also enable them to supply additional resources when necessary.

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Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

YouLeQD: Decoding the Cognitive Complexity of Questions and Engagement in Online Educational Videos from Learners' Perspectives
cs.CL 2025-01 conditional novelty 6.0 of 10

Learner questions on YouTube lecture videos mostly fall into the lowest Bloom's Taxonomy level, and harder questions receive fewer likes but more replies.

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