Toward Personalised Learning Experiences: Beyond Prompt Engineering
Authors: 
Joost Kruis, 
Maria Soledad Pera, Zoë ten Napel, Monica Landoni, Emiliana Murgia, Theo Huibers, Remco FeskensAuthors Info & Claims
Joost Kruis, Maria Soledad Pera, Zoë ten Napel, Monica Landoni, Emiliana Murgia, Theo Huibers, Remco FeskensAuthors Info & ClaimsPages 644 - 649
Abstract
We discuss the foundation of a collaborative effort to explore AI’s role in supporting (teachers and) children in their learning experiences. We integrate principles of educational psychology, AI, and HCI, and align with best practices in education while undertaking a human-centered focus on design and development that puts the student at the centre and keeps the expert-in-the-loop. Initially, we study assessment items—questions or tasks tied to a learning target. These items vary in complexity, serve as indicators of students’ grasp of specific concepts and spotlight areas where support may be needed. This preliminary analysis will help us outline a framework to guide the design and evaluation of AI technology for K-12 education. Such a framework would ensure that assessment item generation technology goes beyond the current one-dimensional approach by incorporating multifaceted, adaptable perspectives that consider the variegated landscape of learners’ needs, subject matter complexities, and pedagogical goals.
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June 2024
1049 pages
ISBN:9798400704420
DOI:10.1145/3628516
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Published: 17 June 2024
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