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Title:
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DESIGNING STRUCTURED REFLECTIONS FOR GUIDING
LEARNERS' INTERACTIONS WITH GENERATIVE AI |
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Author(s):
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Rwitajit Majumdar, Daevesh Singh and Mei-Rong Alice Chen |
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ISBN:
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978-989-8704-61-0 |
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Editors:
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Demetrios G. Sampson, Dirk Ifenthaler and Pedro Isaías |
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Year:
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2024 |
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Edition:
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Single |
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Keywords:
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Generative AI, Critical Thinking, Micro-learning Task, Learning Analytics, LAreflecT |
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Type:
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Short |
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First Page:
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341 |
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Last Page:
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344 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Generative AI tools have opened up discussions in the education space and among its policymakers. While educators see
opportunities, they also worry that students might only use them to produce their answers if they reflect on the content
generated by those tools. In this work, we propose a micro-learning activity where structured reflections are designed as
prompts to support comprehension of the learning content and reflection on the learning process. The context of this study
is an undergraduate EFL students' reading class where they were allowed to use generative AI tools to comprehend
academic research papers written in English. The structured reflection task was authored in a learning analytics-enhanced
interactive learning environment that can also trace the learner's interactions. In this pilot study, we present the task design
and focus on tracing learners' (n=22) on-task behavior, structured reflection, perceived effort, and judgment of learning
from the log data. We present a descriptive analysis of the interactions with the Generative AI tool and the learner's effort
and judgment related to the reading comprehension task. |
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