On feedback from bots: Intelligence tests and teaching writing

One of the much-debated uses for AI, especially among writing instructors, is the potential for AI to take over the commenting and grading functions of teaching. In this paper, we describe the creation and use of AI for writing feedback in two separate but interconnected approaches: the use of the “Perfect Tutor” exercise in the classroom to teach students to conceptualize the components and priorities we bring to the writing process, and how students might struggle to make use of the same AI for feedback in a less actively guided context, or when the emphasis is not on the metacognition surrounding writing. During our examination of making bots and evaluating their feedback, we explore the limits of current AI. While emphasizing the importance of understanding the limitations, we also identify productive uses of these AI feedback bots in the college writing classroom to develop student critical thinking and writing. Early versions of parts of this brief article appeared on Inside Higher Ed and Medium (Taylor, 2024; Marino, 2024a; Marino, 2024b).

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Publication Details

Journal
Journal of Applied Learning & Teaching
Published
2024-08-05
DOI
https://doi.org/10.37074/jalt.2024.7.2.22
Citations
1
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.41
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article

On feedback from bots: Intelligence tests and teaching writing

1 citations
Journal of Applied Learning & Teaching
Online Learning and Analytics
0.41
article

On feedback from bots: Intelligence tests and teaching writing

article en
1 citations

Abstract

One of the much-debated uses for AI, especially among writing instructors, is the potential for AI to take over the commenting and grading functions of teaching. In this paper, we describe the creation and use of AI for writing feedback in two separate but interconnected approaches: the use of the “Perfect Tutor” exercise in the classroom to teach students to conceptualize the components and priorities we bring to the writing process, and how students might struggle to make use of the same AI for feedback in a less actively guided context, or when the emphasis is not on the metacognition surrounding writing. During our examination of making bots and evaluating their feedback, we explore the limits of current AI. While emphasizing the importance of understanding the limitations, we also identify productive uses of these AI feedback bots in the college writing classroom to develop student critical thinking and writing. Early versions of parts of this brief article appeared on Inside Higher Ed and Medium (Taylor, 2024; Marino, 2024a; Marino, 2024b).

Journal of Applied Learning & TeachingVol. 7(2)
University of Southern California (US), California Southern University (US)
Quality Education
Openalex Percentile: Top 28%
Online Learning and Analytics
0.41
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On feedback from bots: Intelligence tests and teaching writing · Journal of Applied Learning & Teaching (2024) | TGRS Research Map | TGRS