Paper presentations @ EDM2016

Peter Scupelli and Paul Inventado presented papers at The 9th International Conference on Educational Data Mining (EDM2016) in Raleigh, North Carolina.

1. Inventado, P.S., Scupelli, P., Van Inwegen, E., Ostrow, K. Heffernan, N. , Baker, R.,  Slater, S., and Ocumpaugh, J. “Hint Availability Slows Completion Times in Summer Work”

Abstract:

On-demand help in intelligent learning environments is typically linked to better learning, but may lead to longer completion times. This present work provides an analysis of how students interacted with a summer learning assignment when on-demand help was available, compared to when it was not. When hints were available from the start, students were more likely to delay work, compared to students for whom step-wise hints were only available after the third problem. When hints were always available, participants took significantly more time to complete a mastery learning assignment,. We interpret this difference in time to complete the assignment as an opportunity to re-engage in productive math learning.

2. Slater, S., Ocumpaugh, J., Baker, R., Scupelli, P., Inventado, P.S., and Heffernan, N. “Semantic Features of Math Problems: Relationships to Student Learning and Engagement”

Abstract:

The creation of crowd-sourced content in learning systems is a powerful method for adapting learning systems to the needs of a range of teachers in a range of domains, but the quality of this content can vary. This study explores linguistic differences in teacher-created problem content in ASSISTments using a combination of discovery with models and correlation mining. Specifically, we find correlations between semantic features of mathematics problems and indicators of learning and engagement, suggesting promising areas for future work on problem design. We also discuss limitations of semantic tagging tools within mathematics domains and ways of addressing these limitations.