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Big Data Characterization of Learner Behaviour in a Highly Technical MOOC Engineering Course.

, , , and . J. Learn. Anal., 3 (3): 170-192 (December 2016)

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Middleware Integration and Deployment Strategies for Cyberinfrastructures., , , , , , , and . GPC, volume 5036 of Lecture Notes in Computer Science, page 187-198. Springer, (2008)Mini workshop - Developing engineers for a changing world through modeling and simulation-based pedagogy., , , and . FIE, page 1-3. IEEE Computer Society, (2014)Using pre-course survey responses to predict sporadic learner behaviors in advanced STEM MOOCs work-in-progress., , , , , and . FIE, page 1-4. IEEE Computer Society, (2017)Integrating analytics and surveys to understand fully engaged learners in a highly-technical STEM MOOC., , , , , , and . FIE, page 1-9. IEEE Computer Society, (2016)Security of graph data: hashing schemes and definitions., , , , and . CODASPY, page 223-234. ACM, (2014)First-year engineering students' nanotechnology awareness, exposure and motivation before and after educational interventions., , , and . FIE, page 1-7. IEEE Computer Society, (2014)Case studies: First-Year engineering nanotechnology-based design projects., , and . FIE, page 327-333. IEEE Computer Society, (2013)An Immersive Granular Material Visualization System with Haptic Feedback., , and . TPCG, page 107-113. Eurographics Association, (2007)Surveying the motivations of groups of learners in highly-technical STEM MOOCs., , , , , and . FIE, page 1-6. IEEE Computer Society, (2016)Utilizing visualization and feature selection methods to identify important learning objectives in a course., , and . LAK, page 546-547. ACM, (2017)