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Title: Towards Interest-based Adaptive Learning and Community Knowledge Sharing
We propose a System for Adaptive Interest-based Learning (SAIL) that utilizes community knowledge sharing (crowd-sourcing) strategies to empower adaptation of examples and practice problems based on students’ individual interests. Personalizing education based on interest can lead to increased intrinsic motivation and positive learning outcomes. While most studies have been conducted manually, adaptive learning technologies offer a new approach to widespread incorporation of adaptive interest-based materials. The difficulty in widespread implementation is the enormous effort required to create customized content. SAIL aims to provide a framework for educators to access and contribute adaptive materials via community knowledge sharing within an easy-to-use adaptive learning system.  more » « less
Award ID(s):
1645325
PAR ID:
10074450
Author(s) / Creator(s):
; ; ; ;
Date Published:
Journal Name:
Int'l Conf. Frontiers in Education: CS and CE | FECS'17
Volume:
13
Issue:
1
Page Range / eLocation ID:
58-61
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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