Publications
- Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren’s Behaviour versus Teacher Control over Neighbours Alharbi, Kholood and Cristea, Alexandra I. and Shi, Lei and Tymms, Peter and Brown, Chris (2021) ‘Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren’s Behaviour versus Teacher Control over Neighbours.’, Artificial Intelligence in Education.
- Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study Drousiotis, Efthyvoulos and Pentaliotis, Panagiotis and Shi, Lei and Cristea, Alexandra (2021) ‘Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study.’, Artificial Intelligence in Education.
- Exploring Navigation Styles in a FutureLearn MOOC Shi, Lei and Cristea, Alexandra I. and Toda, Armando M. and Oliveira, Wilk (2020) ‘Exploring Navigation Styles in a FutureLearn MOOC.’, in Intelligent Tutoring Systems. , pp. 45-55.
- Analysing Gamification Elements in Educational Environments Using an Existing Gamification Taxonomy Toda, Armando M. and Klock, Ana C. T. and Oliveira, Wilk and Palomino, Paula T. and Rodrigues, Luiz and Shi, Lei and Bittencourt, Ig and Gasparini, Isabela and Isotani, Seiji and Cristea, Alexandra I. (2019) ‘Analysing Gamification Elements in Educational Environments Using an Existing Gamification Taxonomy.’, Smart Learning Environments, 6 (1). p. 16.
- Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs Alshehri, Mohammad and Alamri, Ahmed and Cristea, Alexandra I. and Stewart, Craig D. (2021) ‘Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs.’, International Journal of Artificial Intelligence in Education .
- Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums Yu, Jialin and Alrajhi, Laila and Harit, Anoushka and Sun, Zhongtian and Cristea, Alexandra I. and Shi, Lei (2021) ‘Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums.’, ITS World Congress Hamburg, Germany.
- A recommender system based on effort: towards minimising negative affects and maximising achievement in CS1 learning Pereira, Felipe D. and Junior, Hermino B. F. and Rodriquez, Luiz and Toda, Armando and Oliveira, Elaine H. T. and Cristea, Alexandra I. and Oliveira, David B. F. and Carvalho, Leandro S. G. and Fonseca, Samuel C. and Alamri, Ahmed and Isotani, Seiji (2021) ‘A recommender system based on effort: towards minimising negative affects and […]
- MOOC next week dropout prediction: weekly assessing time and learning patterns Alamri, Ahmed and Sun, Zhongtian and Cristea, Alexandra I. and Steward, Craig and Pereira, Filipe Dawn (2021) ‘MOOC next week dropout prediction: weekly assessing time and learning patterns.’, ITS World Congress Hamburg, Germany.
- Predicting Certification in MOOCs based on Students’ Weekly Activities Alshehri, Mohammad and Alamri, Ahmed and Cristea, Alexandra I. (2021) ‘Predicting Certification in MOOCs based on Students’ Weekly Activities.’, ITS World Congress Hamburg, Germany.
- Training Temporal and NLP Features via Extremely Randomised Trees for Educational Level Classification Aljohani, Tahani and Cristea, Alexandra (2021) ‘Training Temporal and NLP Features via Extremely Randomised Trees for Educational Level Classification.’, ITS World Congress Hamburg, Germany.
- Agent-based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students Alharbi, Kholood and Cristea, Alexandra I. and Shi, Lei and Tymms, Peter and Brown, Chris (2021) ‘Agent-based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students.’, ITS World Congress Hamburg, Germany.
- A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs Sun, Zhongtian and Harit, Anoushka and Yu, Jialin and Cristea, Alexandra I. and Shi, Lei (2021) ‘A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs.’, ITS World Congress Hamburg, Germany.
