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Deconstructing disengagement

René F. KizilcecStanford University, Stanford, CAChris PiechStanford University, Stanford, CAEmily SchneiderStanford University, Stanford, CA
2013en
ABI

Аннотация

As MOOCs grow in popularity, the relatively low completion rates of learners has been a central criticism. This focus on completion rates, however, reflects a monolithic view of disengagement that does not allow MOOC designers to target interventions or develop adaptive course features for particular subpopulations of learners. To address this, we present a simple, scalable, and informative classification method that identifies a small number of longitudinal engagement trajectories in MOOCs. Learners are classified based on their patterns of interaction with video lectures and assessments, the primary features of most MOOCs to date.

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Цитирований: 2Использованных источников: 0