Transforming learning experiences and assessments through AI‐empowered cocreation of quality feedback

Abstract This article examines the transformative impact of generative artificial intelligence (GenAI) in enhancing feedback quality in a Bachelor of Science course. It the challenges of providing personalized, timely feedback to students in larger educational settings, focusing on the use of GenAI to analyze and respond to student logbooks. These logbooks are key to reflective learning and capture students’ insights and progress. The study explores the integration of GenAI in feedback provision, which moves beyond traditional automated processes to tailor feedback to individual student journeys, thus fostering a growth mindset. GenAI shows potential for revolutionizing learning feedback, with positive effects on student engagement and learning outcomes. The article details the innovation, implementation, and context of this approach, reflecting on the learning coach's experience and successes. It links these findings to educational theories, discussing the broader implications for educators, future AI integration in education, and policy considerations. The conclusion outlines the benefits of GenAI in feedback processes and future directions for exploration and ethical guidelines.

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Publication Details

Journal
New Directions for Teaching and Learning
Published
2024-09-03
DOI
https://doi.org/10.1002/tl.20628
Citations
8
Primary Topic
Student Assessment and Feedback
Type
article
Field-Weighted Citation Impact
16.77
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article

Transforming learning experiences and assessments through AI‐empowered cocreation of quality feedback

Christian Coenen, Mirjam Pfenninger
8 citations
New Directions for Teaching and Learning
Student Assessment and Feedback
16.77
article

Transforming learning experiences and assessments through AI‐empowered cocreation of quality feedback

Christian Coenen, Mirjam Pfenninger
article en
8 citations

Abstract

Abstract This article examines the transformative impact of generative artificial intelligence (GenAI) in enhancing feedback quality in a Bachelor of Science course. It the challenges of providing personalized, timely feedback to students in larger educational settings, focusing on the use of GenAI to analyze and respond to student logbooks. These logbooks are key to reflective learning and capture students’ insights and progress. The study explores the integration of GenAI in feedback provision, which moves beyond traditional automated processes to tailor feedback to individual student journeys, thus fostering a growth mindset. GenAI shows potential for revolutionizing learning feedback, with positive effects on student engagement and learning outcomes. The article details the innovation, implementation, and context of this approach, reflecting on the learning coach's experience and successes. It links these findings to educational theories, discussing the broader implications for educators, future AI integration in education, and policy considerations. The conclusion outlines the benefits of GenAI in feedback processes and future directions for exploration and ethical guidelines.

New Directions for Teaching and LearningVol. 2025(182)
ZHAW Zurich University of Applied Sciences (CH)
Industry, innovation and infrastructure
Openalex Percentile: Top 1%
Student Assessment and Feedback
16.77
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Transforming learning experiences and assessments through AI‐empowered cocreation of quality feedback — Christian Coenen, Mirjam Pfenninger · New Directions for Teaching and Learning (2024) | TGRS Research Map | TGRS