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This work is an attempt to discover hidden structural configurations inlearning activity sequences of students in Massive Open Online Courses (MOOCs).Leveraging combined representations of video clickstream interactions and forumactivities, we seek to fundamentally understand traits that are predictive ofdecreasing engagement over time. Grounded in the interdisciplinary field ofnetwork science, we follow a graph based approach to successfully extractindicators of active and passive MOOC participation that reflect persistenceand regularity in the overall interaction footprint. Using these richeducational semantics, we focus on the problem of predicting student attrition,one of the major highlights of MOOC literature in the recent years. Our resultsindicate an improvement over a baseline ngram based approach in capturing"attrition intensifying" features from the learning activities that MOOClearners engage in. Implications for some compelling future research arediscussed.

Capturing "attrition intensifying" structural traits from didactic interaction sequences of MOOC learners