251 citations · 375 across the 10 of their papers we have counts for
10 papers
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums
Jialin Yu, Laila Alrajhi, Anoushka Harit +3
Massive Open Online Courses (MOOCs) have become a popular choice for e-learning thanks to their great flexibility. However, due to large numbers of learners and their diverse backg…
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…
Social Engagement versus Learning Engagement -- An Exploratory Study of FutureLearn Learners
Lei Shi, Alexandra I. Cristea, Armando M. Toda +1
Massive Open Online Courses (MOOCs) continue to see increasing enrolment, but only a small percent of enrolees completes the MOOCs. Whilst a lot of research has focused on predicti…
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)…
Social Interactions Clustering MOOC Students: An Exploratory Study
Lei Shi, Alexandra Cristea, Ahmad Alamri +2
An exploratory study on social interactions of MOOC students in FutureLearn was conducted, to answer "how can we cluster students based on their social interactions?" Comments were…
Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study
Armando M. Toda, Wilk Oliveira, Lei Shi +3
Gamification frameworks can aid in gamification planning for education. Most frameworks, however, do not provide ways to select, relate or recommend how to use game elements, to ga…