Temporal Analysis in Massive Open Online Courses – Towards Identifying at-Risk Students Through Analyzing Demographical Changes L Shi, B Yang, AM Toda Advances in Information Systems Development. Springer.
Exploring Navigation Styles in a FutureLearn MOOC L Shi, AI Cristea, AM Toda, W Oliveira The 16th International Conference on Intelligent Tutoring Systems (ITS). Springer.
Is MOOC Learning Different from Dropout Learners? A Visually-driven, Multi-granularity Approach A Alamri, Z Sun, AI Cristea, G Senthilnathan, C Stewart, L Shi The 16th International Conference on Intelligent Tutoring Systems (ITS). Springer.
Social Interaction Clustering MOOC Students and Predicting Learning Activities L Shi, AI Cristea, A Toda, W Oliveira, A Alamri The 20th IEEE International Conference on Advanced Learning Technologies (ICALT). IEEE.
Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course J Yu, OT Aduragba, Z Sun, S Black, C Stewart, L Shi, AI Cristea The 15th International Conference on Computer Science & Education (ICCSE). IEEE.
Does Tailoring Gamified Educational Systems Matter? The Impact on Students' Flow Experience W Oliveira, A Toda, P Toledo, L Shi, J Vassileva, II Bittencourt, S Isotani The 53rd Hawaii International Conference on System Sciences (HICSS). AIS, IEEE.
Towards Automatic Flow Experience Identification in Educational Systems: A Qualitative Study W Oliveira, A Toda, P Toledo, L Rodrigues, L Shi, S Isotani The Brazilian Symposium on Informatics in Education (SBIE). SBC.
2019
Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students L Shi, AI Cristea, AM Toda, W Oliveira The 28th International Conference on Information Systems Development (ISD). LNISO. Springer.
Analysing Gamification Elements in Educational Environments using an Existing Gamification Taxonomy AM Toda, ACT Klock, W Oliveira, PT Palomino, L Rodrigues, L Shi, II Bittencourt, I Gasparini, S Isotani, AI Cristea Smart Learning Environments. Springer.
Demographical Changes of Student Subgroups in MOOCs: Towards Predicting At-Risk Students B Yang, L Shi, AM Toda The 28th International Conference on Information Systems Development (ISD). LNISO. Springer.
Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study AM Toda, W Oliveira, L Shi, II Bittencourt, S Isotani, AI Cristea International Conference on Educational Data Mining (EDM).
Predicting MOOCs Dropout Using only two Features of First Week Activities A Alamri, M Alshehri, AI Cristea, FD Pereira, E Oliveira, L Shi, C Stewart International Conference on Intelligent Tutoring Systems (ITS). Springer, Cham.
Social Engagement versus Learning Engagement - An Exploratory Study on FutureLearn Learners L Shi, AI Cristea, AM Toda, W Oliveira The 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE). IEEE.
Towards Automatic Flow Experience Identification in Educational Systems: A Theory-driven Approach W Oliveira, AM Toda, P Palomino, L Rodrigues, S Isotani, L Shi The annual symposium on Computer-Human Interaction in Play (CHI PLAY). ACM SIGCHI.
A Taxonomy of Game Elements for Gamification in Educational Contexts: Proposal and Evaluation AM Toda, W Oliveira, A Klock, P Palomino, M Pimenta, I Gasparini, L Shi, I Bittencourt, S Isotani, AI Cristea The 19th IEEE International Conference on Advanced Learning Technologies (ICALT). IEEE.
Validating the Effectiveness of Data-Driven Gamification Recommendations: An Exploratory Study AM Toda, P. Palomino, L Rodrigues, W Oliveira, L Shi, S Isotani, AI Cristea The Brazilian Symposium on Informatics in Education (SBIE). SBC.
2018
In-depth Exploration of Engagement Patterns in MOOCs L Shi, AI Cristea Web Information Systems Engineering (WISE). LNCS, vol 11234. Springer, Cham.
Demographic Indicators Influencing Learning Activities in MOOCs: Learning Analytics of FutureLearn Courses L Shi, AI Cristea Complexity in Information Systems Development (ISD). LNISO.
Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses AI Cristea, A Alamri, M Kayama, C Stewart, M Alshehri, L Shi Complexity in Information Systems Development (ISD). LNISO.
How is Learning Fluctuating? FutureLearn MOOCs Fine-grained Temporal Analysis and Feedback to Teachers and Designers AI Cristea, M Alshehri, A Alamri, M Kayama, C Stewart, L Shi Complexity in Information Systems Development (ISD). LNISO.
Can Learner Characteristics Predict their Behaviour on MOOCs? AI Cristea, A Alamri, M Alshehri, M Kayama, J Foss, L Shi, C Stewart The 10th International Conference on Education Technology and Computers (ICETC). ACM.
On the Need for Fine-grained Analysis of Gender versus Commenting Behaviour in MOOCs M Alshehri, J Foss, AI Cristea, M Kayama, L Shi, A Alamri, A Tsakalidis The 3rd International Conference on Information and Education Innovations (ICIEI). ACM.
An Intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System A Alamri, H Rusby, AI Cristea, J Khan, L Shi, C Stewart The 3rd International Conference on Information and Education Innovations (ICIEI). ACM.