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Martina Angela Rau; Will Keesler; Ying Zhang; Sally Wu – IEEE Transactions on Learning Technologies, 2020
Instruction in most STEM domains uses visuals to illustrate complex problems. During problem solving, students often manipulate and construct visuals. Traditionally, students draw visuals on paper and receive delayed feedback from an instructor. Educational technologies have the advantage that they can provide immediate feedback on students'…
Descriptors: Visualization, Educational Technology, Chemistry, STEM Education
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Charleer, Sven; Moere, Andrew Vande; Klerkx, Joris; Verbert, Katrien; De Laet, Tinne – IEEE Transactions on Learning Technologies, 2018
This paper presents LISSA ("Learning dashboard for Insights and Support during Study Advice"), a learning analytics dashboard designed, developed, and evaluated in collaboration with study advisers. The overall objective is to facilitate communication between study advisers and students by visualizing grade data that is commonly…
Descriptors: Data Analysis, Academic Advising, Peer Groups, Grades (Scholastic)