Interact: web and android-based backchannel system to aggregate student feedback

Goh Si Hao; Soumyadeb Chowdhury; Sam Loh; Junqi Zou

doi:10.1145/3152771.3156167

Interact: web and android-based backchannel system to aggregate student feedback

Goh Si Hao, Soumyadeb Chowdhury, Sam Loh, Junqi Zou

Aston Business School

Research output: Chapter in Book/Published conference output › Conference publication

Abstract

This paper presents, 'Interact', an interactive backchannel system providing an array of features to both the students and instructors. It allows the students to post comments, ask questions, and rate their understanding of various concepts (prepopulated by the instructor), taught in a lecture session. Additionally, the system employs text analytics using Latent Dirichlet allocation (LDA), to extract topics from the comments, and aggregate sentiments for each topic using AFINN-165 wordlist. The instructors can view: (1) top-ranked 'm' topics discussed in 'n' lectures; (2) sentiment trends for 'm' topics, and 'n' lectures, including positive and negative words; (3) popular questions asked in 'n' lectures. A user-study was conducted with 40 students and 10 academics were interviewed to understand their perception towards the system. Additionally, a crowdsource study examined the effectiveness of aggregation techniques. We believe that Interact will help to improve teaching and develop effective learning, with the aid of automatic processing, summarization and visualization of student feedback obtained through comments, questions and rating concepts.

Original language	English
Title of host publication	OZCHI '17 Proceedings of the 29th Australian Conference on Computer-Human Interaction
Publisher	ACM
Pages	508-512
Number of pages	5
ISBN (Electronic)	9781450353793
DOIs	https://doi.org/10.1145/3152771.3156167
Publication status	Published - 28 Nov 2017
Event	29th Australian Computer-Human Interaction Conference, OzCHI 2017 - Brisbane, Australia Duration: 28 Nov 2017 → 1 Dec 2017

Conference

Conference	29th Australian Computer-Human Interaction Conference, OzCHI 2017
Country/Territory	Australia
City	Brisbane
Period	28/11/17 → 1/12/17

Keywords

Backchannel
Sentiment
User-study
Visualization

Access to Document

10.1145/3152771.3156167

Cite this

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title = "Interact: web and android-based backchannel system to aggregate student feedback",

abstract = "This paper presents, 'Interact', an interactive backchannel system providing an array of features to both the students and instructors. It allows the students to post comments, ask questions, and rate their understanding of various concepts (prepopulated by the instructor), taught in a lecture session. Additionally, the system employs text analytics using Latent Dirichlet allocation (LDA), to extract topics from the comments, and aggregate sentiments for each topic using AFINN-165 wordlist. The instructors can view: (1) top-ranked 'm' topics discussed in 'n' lectures; (2) sentiment trends for 'm' topics, and 'n' lectures, including positive and negative words; (3) popular questions asked in 'n' lectures. A user-study was conducted with 40 students and 10 academics were interviewed to understand their perception towards the system. Additionally, a crowdsource study examined the effectiveness of aggregation techniques. We believe that Interact will help to improve teaching and develop effective learning, with the aid of automatic processing, summarization and visualization of student feedback obtained through comments, questions and rating concepts.",

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author = "Hao, {Goh Si} and Soumyadeb Chowdhury and Sam Loh and Junqi Zou",

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doi = "10.1145/3152771.3156167",

language = "English",

pages = "508--512",

booktitle = "OZCHI '17 Proceedings of the 29th Australian Conference on Computer-Human Interaction",

publisher = "ACM",

address = "United States",

note = "29th Australian Computer-Human Interaction Conference, OzCHI 2017 ; Conference date: 28-11-2017 Through 01-12-2017",

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Hao, GS, Chowdhury, S, Loh, S & Zou, J 2017, Interact: web and android-based backchannel system to aggregate student feedback. in OZCHI '17 Proceedings of the 29th Australian Conference on Computer-Human Interaction. ACM, pp. 508-512, 29th Australian Computer-Human Interaction Conference, OzCHI 2017, Brisbane, Australia, 28/11/17. https://doi.org/10.1145/3152771.3156167

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AB - This paper presents, 'Interact', an interactive backchannel system providing an array of features to both the students and instructors. It allows the students to post comments, ask questions, and rate their understanding of various concepts (prepopulated by the instructor), taught in a lecture session. Additionally, the system employs text analytics using Latent Dirichlet allocation (LDA), to extract topics from the comments, and aggregate sentiments for each topic using AFINN-165 wordlist. The instructors can view: (1) top-ranked 'm' topics discussed in 'n' lectures; (2) sentiment trends for 'm' topics, and 'n' lectures, including positive and negative words; (3) popular questions asked in 'n' lectures. A user-study was conducted with 40 students and 10 academics were interviewed to understand their perception towards the system. Additionally, a crowdsource study examined the effectiveness of aggregation techniques. We believe that Interact will help to improve teaching and develop effective learning, with the aid of automatic processing, summarization and visualization of student feedback obtained through comments, questions and rating concepts.

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KW - Sentiment

KW - User-study

KW - Visualization

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ER -

Interact: web and android-based backchannel system to aggregate student feedback

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Keywords

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