Forums, Feedback, and Two Kinds of AI: A Selective History of Learning @ Scale
Authors: 
Alex S. Duncan, 
Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, David A. JoynerAuthors Info & Claims
Alex S. Duncan, Travis Tang, Yinghong Huang, Jeanette Luu, Nirali Thakkar, David A. JoynerAuthors Info & ClaimsPages 376 - 382
Abstract
Since the beginning of the Learning @ Scale conference in 2014, research has focused on a variety of topics. In this paper, we look at trends in four specific topics over time to identify how focus on these research directions has changed over the past 10 years: discussion forums, AI and machine learning, accessibility and inclusivity, and peer review. We find that interest in discussion forums has remained relatively steady, while interest in artificial intelligence and accessibility & inclusivity has risen. Interest in peer review, by contrast, has waned considerably. These findings are based on a an analysis of all 562 total Learning @ Scale papers from 2014 through 2023, including full papers, works in progress, and short papers.
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Index Terms
- Forums, Feedback, and Two Kinds of AI: A Selective History of Learning @ Scale
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July 2024
582 pages
ISBN:9798400706332
DOI:10.1145/3657604
- General Chair:
- David Joyner,
- Program Chairs:
- Min Kyu Kim,
- Xu Wang,
- Meng Xia
Copyright © 2024 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
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Published: 15 July 2024
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