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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Student Sensemaking of Learning Analytics Dashboard Interventions in Higher Education
An instrumental case study was conducted at a large, public research university in the mid-Atlantic region of the United States to understand undergraduate use of learning analytics dashboard (LAD) interventions. Eighty-one undergraduate students participated in focus groups. Scenario-based questions, modeled on current and future LAD interventions, were asked to understand student uses, perceptions, and reactions to these interfaces. Results indicate that student sensemaking is tied to data relevance, accuracy, and context. Further, trust in both data, especially predictive data, and in relationships, especially with faculty, are foundational to the sensemaking of LAD data and interventions. A model of student sensemaking of LAD interventions is provided.
more » « less- PAR ID:
- 10545181
- Publisher / Repository:
- SAGE Publications
- Date Published:
- Journal Name:
- Journal of Educational Technology Systems
- Volume:
- 48
- Issue:
- 1
- ISSN:
- 0047-2395
- Format(s):
- Medium: X Size: p. 130-154
- Size(s):
- p. 130-154
- Sponsoring Org:
- National Science Foundation
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