Empowering CS1 Educators: Enhancing Automated Feedback Instruction with Cognitive Load Theory

Delivering personalised and timely feedback is crucial for helping students address gaps in their understanding. However, the increasing demands of large class sizes make this task particularly challenging for CS1 educators, especially for casual teaching assistants who lack formal training and experience. Existing feedback training methods are often inconsistent and ineffective, leaving educators unprepared to handle diverse student needs.

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Publication Details

Published
2025-02-18
DOI
https://doi.org/10.1145/3641555.3705171
Citations
1
Primary Topic
Innovative Teaching and Learning Methods
Type
article
Field-Weighted Citation Impact
3.44
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article

Empowering CS1 Educators: Enhancing Automated Feedback Instruction with Cognitive Load Theory

Alexandra Vassar, Yang Jiang, Justin T. Gonzaga
1 citations
Innovative Teaching and Learning Methods
3.44
article

Empowering CS1 Educators: Enhancing Automated Feedback Instruction with Cognitive Load Theory

Alexandra Vassar, Yang Jiang, Justin T. Gonzaga
article en
1 citations

Abstract

Delivering personalised and timely feedback is crucial for helping students address gaps in their understanding. However, the increasing demands of large class sizes make this task particularly challenging for CS1 educators, especially for casual teaching assistants who lack formal training and experience. Existing feedback training methods are often inconsistent and ineffective, leaving educators unprepared to handle diverse student needs.

UNSW Sydney (AU)
Quality Education
Openalex Percentile: Top 12%
Innovative Teaching and Learning Methods
3.44
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Empowering CS1 Educators: Enhancing Automated Feedback Instruction with Cognitive Load Theory — Alexandra Vassar, Yang Jiang, et al. · (2025) | TGRS Research Map | TGRS