Author:
Kannan Priya,Zapata-Rivera Diego
Abstract
Learning analytic dashboards (LADs) are data visualization systems that use dynamic data in digital learning environments to provide students, teachers, and administrators with a wealth of information about student’s engagement, experiences, and performance on tasks. LADs have become increasingly popular, particularly in formative learning contexts, and help teachers make data-informed decisions about a student’s developing skills on a topic. LADs afford the possibility for teachers to obtain real-time data on student performance, response processes, and progress on academic learning tasks. However, data presented on LADs are often not based on an evaluation of stakeholder needs, and have been found to not be clearly interpretable and actionable for teachers to readily adapt their pedagogical actions based on these insights. We elaborate on how insights from research focused on interpretation and use of Score Reporting systems and research on open learner models (OLMs) can be used to inform a research agenda aimed at exploring the design and evaluation of LADs.
Reference88 articles.
1. Learning analytics and formative assessment to provide immediate detailed feedback using a student-centered mobile dashboard;Aljohani;Paper presented at the Seventh International Conference on Next Generation Mobile Apps, Services and Technologies,2013
2. Virtual performance-based assessments;Andrews-Todd;Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment,2021
3. Course signals at Purdue: using learning analytics to increase student success;Arnold;Proceedings of the 2nd International Conference on Learning Analytics and Knowledge,2012
4. Powerful student-facing dashboard design through effective feedback, visualization, and gamification;Bayrak;Visualizations and Dashboards for Learning Analytics. Advances in Analytics for Learning and Teaching,2021
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献