251 citations · 365 across the 10 of their papers we have counts for
7 papers · 1 filter
Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students
Lei Shi, Alexandra I. Cristea, Armando M. Toda +1
Massive Open Online Courses (MOOCs) exhibit a remarkable heterogeneity of students. The advent of complex "big data" from MOOC platforms is a challenging yet rewarding opportunity…
Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities
Ahmed Alamri, Mohammad Alshehri, Alexandra I. Cristea +4
While Massive Open Online Course (MOOCs) platforms provide knowledge in a new and unique way, the very high number of dropouts is a significant drawback. Several features are consi…
Validating the Effectiveness of Data-Driven Gamification Recommendations: An Exploratory Study
Armando Toda, Paula Palomino, Luiz Rodrigues +4
Gamification design has benefited from data-driven approaches to creating strategies based on students characteristics. However, these strategies need further validation to verify…
Analysing gamification elements in educational environments using an existing Gamification taxonomy
Armando M. Toda, Ana C. T. Klock, Wilk Oliveira +7
Gamification has been widely employed in the educational domain over the past eight years when the term became a trend. However, the literature states that gamification still lacks…
Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach
Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea +3
Millions of people have enrolled and enrol (especially in the Covid-19 pandemic world) in MOOCs. However, the retention rate of learners is notoriously low. The majority of the res…
Exploring Navigation Styles in a FutureLearn MOOC
Lei Shi, Alexandra I. Cristea, Armando M. Toda +1
This paper presents for the first time a detailed analysis of fine-grained navigation style identification in MOOCs backed by a large number of active learners. The result shows 1)…