BALANCING BYTES WITH BRAINS: EXPLORING THE ROLE OF LEARNERS' CONTROL IN PERSONALIZED LEARNING TASKS
Journal
European Conference on Information Systems (ECIS)
Type
conference paper
Date Issued
2024
Author(s)
Research Team
IWI6
Abstract
The increasing prevalence of artificial intelligence (AI)-based learning systems unleashes new potentials in designing personalized learning experiences that enhance learning outcomes. However, prior research indicates that such systems can negatively impact engagement due to issues in human information processing. This study examines whether giving learners control over task difficulty selection in personalized learning systems can mitigate these effects. A laboratory within-subjects experiment involving 80 participants explored how control over personalized vocabulary learning affects learning performance and autonomy satisfaction. As such a control feature may lead to deeper information processing, I investigate the mediating effect of cognitive workload on the main effect. The study aims to contribute to human-AI interaction literature by shedding light on the importance of control in personalized system design and investigating its effects on cognitive workload, overall task performance, and autonomy satisfaction.
Language
English
Keywords
Personalized Learning
Autonomy
EEG
Cognitive Load Theory
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher place
Paphos, Cyprus
Pages
8
Event Title
European Conference on Information Systems (ECIS)
Event Location
Paphos, Cyprus
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
Name
JML_968.pdf
Size
328.95 KB
Format
Adobe PDF
Checksum (MD5)
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