Exploring the Role of AI-Generated Feedback Tangential to Learning Outcomes

Steven C. Sutherland; Tiago Machado; Shruti Mahajan; Omid Mohaddesi; Camillia Matuk; Gillian Smith; Casper Harteveld

doi:10.1109/CoG57401.2023.10333239

Exploring the Role of AI-Generated Feedback Tangential to Learning Outcomes

Steven C. Sutherland, Tiago Machado, Shruti Mahajan, Omid Mohaddesi, Camillia Matuk, Gillian Smith, Casper Harteveld

Administration, Leadership & Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Students are often tasked in engaging with activities where they have to learn skills that are tangential to the learning outcomes of a course, such as learning a new software. The issue is that instructors may not have the time or the expertise to help students with such tangential learning. In this paper, we explore how AI-generated feedback can provide assistance. Specifically, we study this technology in the context of a constructionist curriculum where students learn about experimental research through the creation of a gamified experiment. The AI-generated feedback gives a formative assessment on the narrative design of student-designed gamified experiments, which is important to create an engaging experience. We find that students critically engaged with the feedback, but that responses varied among students. We discuss the implications for AI-generated feedback systems for tangential learning.

Original language	English (US)
Title of host publication	Proceedings of the 2023 IEEE Conference on Games, CoG 2023
Publisher	IEEE Computer Society
ISBN (Electronic)	9798350322774
DOIs	https://doi.org/10.1109/CoG57401.2023.10333239
State	Published - 2023
Event	5th Annual IEEE Conference on Games, CoG 2023 - Boston, United States Duration: Aug 21 2023 → Aug 24 2023

Publication series

Name	IEEE Conference on Computatonal Intelligence and Games, CIG
ISSN (Print)	2325-4270
ISSN (Electronic)	2325-4289

Conference

Conference	5th Annual IEEE Conference on Games, CoG 2023
Country/Territory	United States
City	Boston
Period	8/21/23 → 8/24/23

Keywords

automated feedback
constructionist learning
creativity support
game design

ASJC Scopus subject areas

Artificial Intelligence
Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition
Human-Computer Interaction
Software

Access to Document

10.1109/CoG57401.2023.10333239

Cite this

Sutherland, S. C., Machado, T., Mahajan, S., Mohaddesi, O., Matuk, C., Smith, G., & Harteveld, C. (2023). Exploring the Role of AI-Generated Feedback Tangential to Learning Outcomes. In Proceedings of the 2023 IEEE Conference on Games, CoG 2023 (IEEE Conference on Computatonal Intelligence and Games, CIG). IEEE Computer Society. https://doi.org/10.1109/CoG57401.2023.10333239

Exploring the Role of AI-Generated Feedback Tangential to Learning Outcomes. / Sutherland, Steven C.; Machado, Tiago; Mahajan, Shruti et al.
Proceedings of the 2023 IEEE Conference on Games, CoG 2023. IEEE Computer Society, 2023. (IEEE Conference on Computatonal Intelligence and Games, CIG).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Sutherland, SC, Machado, T, Mahajan, S, Mohaddesi, O, Matuk, C, Smith, G & Harteveld, C 2023, Exploring the Role of AI-Generated Feedback Tangential to Learning Outcomes. in Proceedings of the 2023 IEEE Conference on Games, CoG 2023. IEEE Conference on Computatonal Intelligence and Games, CIG, IEEE Computer Society, 5th Annual IEEE Conference on Games, CoG 2023, Boston, United States, 8/21/23. https://doi.org/10.1109/CoG57401.2023.10333239

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Exploring the Role of AI-Generated Feedback Tangential to Learning Outcomes

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Publication series

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Keywords

ASJC Scopus subject areas

Access to Document

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