Title | ||
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Adaptive Support for Acquisition of Self-Direction Skills using Learning and Health Data |
Abstract | ||
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For the 21st century learner, developing self-direction skill is crucial for both academic activities and maintaining one's healthy lifestyle. While there are technology supports for specific self-regulated learning tasks and health monitoring, research is limited on how to support development of meta-skill of self-direction process itself. In our work, we focus on designing seamless technology infrastructure to foster self-directedness of learners. We consider learning and physical activities data as a context and DAPER (data collection-analyze-plan-execution monitoring-reflect), as a data-driven self-direction skill execution and acquisition model. We bridge Learning Analytics and Quantified-Self approaches to develop the GOAL (Goal Oriented Active Learner) system to support synchronize-visualize-analyze multisource data regarding learners' learning and physical activities. This paper proposes a measurement rubric as a basis of adaptive scaffolding for skill development during the process. |
Year | DOI | Venue |
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2019 | 10.1109/ICALT.2019.00025 | 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) |
Keywords | Field | DocType |
GOAL system,Learning Analytics,Self-direction skills,Evidence-based Practice | Rubric,Active learning,Learning analytics,Goal orientation,Computer science,Knowledge management,Self-Direction Skills,Evidence-based practice | Conference |
Volume | ISSN | ISBN |
2161-377X | 2161-3761 | 978-1-7281-3486-4 |
Citations | PageRank | References |
1 | 0.41 | 2 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rwitajit Majumdar | 1 | 3 | 1.97 |
Yuan Yuan Yang | 2 | 1 | 0.41 |
Huiyong Li | 3 | 1 | 0.75 |
Gökhan Akçapinar | 4 | 1 | 0.75 |
Brendan Flanagan | 5 | 3 | 2.32 |
Hiroaki Ogata | 6 | 796 | 96.69 |