Location: Ballroom C+D+E
This is a roundtable in the Cyberlearning 2016 Roundtable session.
Learning Analytics 2.0
Learning Analytics 2.0 consumes data of student engagement in smart education curriculum that has been collected from wearable and internet-of-Thing sensors for longitudinal and cross-sectional assessment of student learning.
Project: Homepage, NSF Award #1533741 – I-Corps: Gulliver Innovative Learning: a Platform for Managing Kinesthetic Activities
Starting with What Students Know: Sketching and Animation as Introductions to Computational Science
I’ll talk about two projects, SiMSAM and DataSketch, that are designed to center and build from students’ own representations of scientific phenomena. Rich classroom and student group data suggests a number of ways that affect and engagement manifest within the projects.
Projects: NSF Award #1350282 – DataSketch: Exploring Computational Data Visualization in the Middle Grades and SiMSAM: Bridging Student, Scientific, and Mathematical Models with Expressive Technologies
Exploring the impact of interventions on student affect
We investigated the impact of interventions on student’s negative emotions, e.g., boredom. Results showed that interventions reduced negative emotions modulated by gender and how the intervention was promoted.
Project: Homepage, NSF Award #1500246 – PFI:AIR – TT: Commercializing an Intelligent Tutor for eLearning in Mathematics