Despite the potential of learning analytics dashboards (LADs) to support learners’ needs for autonomy, little research has been conducted on designing LADs to support student autonomy. In this paper, we reported the process of designing a student-facing LAD that offers students’ autonomy support by providing necessary information for students to set their own goals and choose learning activities that are aligned with their goals. A leaderboard was also integrated into the LAD to promote student motivation. Reeves’s (2006) design-based research model was adopted to develop the LAD. The final version of the LAD was presented, and the significance of the work was discussed.
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Developing Effective Visualizations to Understand and Scaffold Collaborative Textual Practices
This poster will describe and compare different visualizations for collaborative writing using cloud-based platforms (e.g., Google Docs). The aim is to develop effective visualizations for a Learning Analytics Dashboard (LAD) to understand the processes undergirding cloud-based group writing and to support team textual practices. Theoretically situated in the literatures on Collaborative Learning Analytics, collaborative sense making, and social annotations, the visualizations will provide valuable and varied insights to researchers, educators, and students. We will be testing the visualizations and the final LAD with undergraduate students, instructors, and researchers from the fields of learning sciences and educational psychology.
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- Award ID(s):
- 1915563
- PAR ID:
- 10258075
- Date Published:
- Journal Name:
- Learning Analytics and Knowledge 2021
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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