Knowledge Compass: A Question Answering System Guiding Students with Follow-Up Question Recommendations

Rui Sheng; Leni Yang; Haotian Li; Yan Luo; Ziyang Xu; Zhilan Zhou; David Gotz; Huamin Qu

doi:10.1145/3586182.3615785

Knowledge Compass: A Question Answering System Guiding Students with Follow-Up Question Recommendations

Rui Sheng, Leni Yang, Haotian Li, Yan Luo, Ziyang Xu, Zhilan Zhou, David Gotz, Huamin Qu

Academy of Interdisciplinary Studies

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

2 Citations (Scopus)

Abstract

Pedagogical question-answering (QA) systems have been utilized for providing individual support in online learning courses. However, existing systems often neglect the education practice of guiding and encouraging students to think of relevant questions for deeper and more comprehensive learning. To address this gap, we introduce Knowledge Compass, an interactive QA system. The system can recommend follow-up questions that provide potential further explorations of the topics students ask about. Additionally, the system applies a course outline visualization and a set of interactive features for students to track the relationship between their questions and the course content.

Original language	English
Title of host publication	UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9798400700965
DOIs	https://doi.org/10.1145/3586182.3615785
Publication status	Published - 29 Oct 2023
Event	36th Annual ACM Symposium on User Interface Software and Technology, UIST 2023 - San Francisco, United States Duration: 29 Oct 2023 → 1 Nov 2023

Publication series

Name	UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

Conference

Conference	36th Annual ACM Symposium on User Interface Software and Technology, UIST 2023
Country/Territory	United States
City	San Francisco
Period	29/10/23 → 1/11/23

Bibliographical note

Publisher Copyright:
© 2023 Owner/Author.

Keywords

E-learning
Follow-up Question
Online Learning
Question Answering
Question Recommendation

Access to Document

10.1145/3586182.3615785

Cite this

Sheng, R., Yang, L., Li, H., Luo, Y., Xu, Z., Zhou, Z., Gotz, D., & Qu, H. (2023). Knowledge Compass: A Question Answering System Guiding Students with Follow-Up Question Recommendations. In UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology Article 65 (UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology). Association for Computing Machinery, Inc. https://doi.org/10.1145/3586182.3615785

Sheng, Rui ; Yang, Leni ; Li, Haotian et al. / Knowledge Compass : A Question Answering System Guiding Students with Follow-Up Question Recommendations. UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 2023. (UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology).

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title = "Knowledge Compass: A Question Answering System Guiding Students with Follow-Up Question Recommendations",

abstract = "Pedagogical question-answering (QA) systems have been utilized for providing individual support in online learning courses. However, existing systems often neglect the education practice of guiding and encouraging students to think of relevant questions for deeper and more comprehensive learning. To address this gap, we introduce Knowledge Compass, an interactive QA system. The system can recommend follow-up questions that provide potential further explorations of the topics students ask about. Additionally, the system applies a course outline visualization and a set of interactive features for students to track the relationship between their questions and the course content.",

keywords = "E-learning, Follow-up Question, Online Learning, Question Answering, Question Recommendation",

author = "Rui Sheng and Leni Yang and Haotian Li and Yan Luo and Ziyang Xu and Zhilan Zhou and David Gotz and Huamin Qu",

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series = "UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology",

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Sheng, R, Yang, L, Li, H, Luo, Y, Xu, Z, Zhou, Z, Gotz, D & Qu, H 2023, Knowledge Compass: A Question Answering System Guiding Students with Follow-Up Question Recommendations. in UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology., 65, UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, Association for Computing Machinery, Inc, 36th Annual ACM Symposium on User Interface Software and Technology, UIST 2023, San Francisco, United States, 29/10/23. https://doi.org/10.1145/3586182.3615785

Knowledge Compass: A Question Answering System Guiding Students with Follow-Up Question Recommendations. / Sheng, Rui; Yang, Leni; Li, Haotian et al.
UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 2023. 65 (UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Knowledge Compass

T2 - 36th Annual ACM Symposium on User Interface Software and Technology, UIST 2023

AU - Sheng, Rui

AU - Yang, Leni

AU - Li, Haotian

AU - Luo, Yan

AU - Xu, Ziyang

AU - Zhou, Zhilan

AU - Gotz, David

AU - Qu, Huamin

PY - 2023/10/29

Y1 - 2023/10/29

N2 - Pedagogical question-answering (QA) systems have been utilized for providing individual support in online learning courses. However, existing systems often neglect the education practice of guiding and encouraging students to think of relevant questions for deeper and more comprehensive learning. To address this gap, we introduce Knowledge Compass, an interactive QA system. The system can recommend follow-up questions that provide potential further explorations of the topics students ask about. Additionally, the system applies a course outline visualization and a set of interactive features for students to track the relationship between their questions and the course content.

AB - Pedagogical question-answering (QA) systems have been utilized for providing individual support in online learning courses. However, existing systems often neglect the education practice of guiding and encouraging students to think of relevant questions for deeper and more comprehensive learning. To address this gap, we introduce Knowledge Compass, an interactive QA system. The system can recommend follow-up questions that provide potential further explorations of the topics students ask about. Additionally, the system applies a course outline visualization and a set of interactive features for students to track the relationship between their questions and the course content.

KW - E-learning

KW - Follow-up Question

KW - Online Learning

KW - Question Answering

KW - Question Recommendation

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:001125107000064

UR - https://openalex.org/W4388193184

UR - https://www.scopus.com/pages/publications/85178300375

U2 - 10.1145/3586182.3615785

DO - 10.1145/3586182.3615785

M3 - Conference Paper published in a book

T3 - UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

BT - UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

PB - Association for Computing Machinery, Inc

Y2 - 29 October 2023 through 1 November 2023

ER -

Sheng R, Yang L, Li H, Luo Y, Xu Z, Zhou Z et al. Knowledge Compass: A Question Answering System Guiding Students with Follow-Up Question Recommendations. In UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc. 2023. 65. (UIST 2023 Adjunct - Adjunct Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology). doi: 10.1145/3586182.3615785

Knowledge Compass: A Question Answering System Guiding Students with Follow-Up Question Recommendations

Abstract

Publication series

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Bibliographical note

Keywords

Access to Document

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