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Claire Wladis

Professor

Mathematics, Borough of Manhattan Community College
Can Student Characteristics be Used to Effectively Identify Students At-Risk in the Online STEM Environment

Professor Wladis met her two co-researchers while working on a task force for the college. They were asked to make recommendations for online learning, but found while reviewing the literature there was a gap in the research regarding which factors predict students’ success in online courses. “There is evidence that students in online courses may drop out at higher rates, but is the reasons for this are not well understood,” Wladis remarks. “One possible explanation is that the same characteristics that make students take online courses may also make them more likely to drop out.” Wladis attempts to answer this and other questions with her three-year, $719K NSF award, Can Student Characteristics be Used to Effectively Identify Students At-Risk in the Online STEM Environment. “We are interested in life factors that may predict whether students underperform in online courses. If we can find predictive models then we can design interventions for students.”

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