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Publications

Publications

2022

  • AI-driven User Aesthetics Preference Prediction for UI Layouts via Deep Convolutional Neural Networks
    B. Xing, H. Si, J. Chen, M. Ye, L. Shi
    IET Cognitive Computation and Systems
  • Tailored Gamification in Education: A Literature Review and Future Agenda
    W Oliveira, J Hamari, L Shi, AM Toda, L Rodrigues, PT Palomino, S Isotani
    Education and Information Technologies
  • Efficient Uncertainty Quantification for Multilabel Text Classification
    J. Yu, A. I. Cristea, A. Harit, Z. Sun, O. T. Aduragba, L. Shi, N. Moubayed
    2022 IEEE World Congress on Computational Intelligence (IJCNN)
  • INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations
    J. Yu, A. I. Cristea, A. Harit, Z. Sun, O. T. Aduragba, L. Shi, N. Moubayed
    2022 IEEE World Congress on Computational Intelligence (IJCNN)
  • Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification
    Z. Sun, A. Harit, A. I. Cristea, J. Yu, N. Moubayed, L. Shi
    2022 IEEE World Congress on Computational Intelligence (IJCNN)
  • SimStu-Transformer: A Transformer-based Approach to Simulating Student Behaviour
    Z. Li, L. Shi, A. I. Cristea, Y. Zhou, C. Xiao, Z. Pan
    Artificial Intelligence in Education (AIED). Springer. Lecture Notes in Artificial Intelligence (LNAI)
  • Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews
    C. Xiao, L. Shi, A. I. Cristea, Z. Li, Z. Pan
    Artificial Intelligence in Education (AIED). Springer. Lecture Notes in Artificial Intelligence (LNAI)
  • Balancing Fined-tuned Machine Learning Models between Continuous and Discrete Variables – A Comprehensive Analysis using Educational Data
    E. Drousiotis, P. Pentaliotis, L. Shi, A. I. Cristea
    Artificial Intelligence in Education (AIED). Springer. Lecture Notes in Artificial Intelligence (LNAI)
  • Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods
    E. Drousiotis, L. Shi, P. Spirakis, S. Maskell
    The 23rd International Conference on Engineering Applications of Neural Networks. Springer.

2021

  • Computational Model for Predicting User Aesthetic Preference for GUI using DCNNs
    B Xing, H Si, J Chen, M Ye, L Shi
    CCF Transactions on Pervasive Computing and Interaction. Springer.
  • Detecting Fine-Grained Emotions on Social Media during Major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic
    OT Aduragba, J Yu, A Cristea, L Shi
    AMIA 2021 Annual Symposium. AMIA.
  • A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns
    Z Li, L Shi, AI Cristea, Y Zhou
    Designing Interactive Systems (DIS). ACM.
  • Agent-based Simulation of the Classroom Environment to Gauge the Effect of Disruptive Schoolchildren’s Behaviour over Neighbours
    K Alharbi, AI Cristea, L Shi, P Tymms, C Brown
  • Capturing Fairness and Uncertainty in Student Dropout Prediction Comparison Study
    E Drousiotis, P Pentaliotis, L Shi, AI Cristea
    Artificial Intelligence in Education (AIED). Springer Lecture Notes in Artificial Intelligence (LNAI).
  • Wide-scale Automatic Analysis of 20 Years of ITS Research
    R Hodgson, AI Cristea, L Shi, J Graham
    International Conference on Intelligent Tutoring Systems (ITS). Springer.
  • A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs
    Z Sun, A Harit, J Yu, AI Cristea, L Shi
    International Conference on Intelligent Tutoring Systems (ITS). Springer.
  • Early Predictor for Student Success Based on Behavioural and Demographical Indicators
    E Drousiotis, L Shi, S Maskell
    International Conference on Intelligent Tutoring Systems (ITS). Springer.
  • Agent-based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students
    K Alharbi, AI Cristea, L Shi, P Tymms, C Brown
    International Conference on Intelligent Tutoring Systems (ITS). Springer.
  • Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums
    J Yu, L Alrajhi, A Harit, Z Sun, AI Cristea, L Shi
    International Conference on Intelligent Tutoring Systems (ITS). Springer.

2020

  • 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.
  • 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
    A.M. Toda, W. Oliveira, A. Klock, P. Palomino, M. Pimenta, I. Gasparini, L Shi, I Bittencourt, S Isotani, A.I. Cristea
    The 19th IEEE International Conference on Advanced Learning Technologies (ICALT). IEEE.
  • Validating the Effectiveness of Data-Driven Gamification Recommendations: An Exploratory Study
    A.M. Toda, P. Palomino, L. Rodrigues, W. Oliveira, L. Shi, S. Isotani, A.I. Cristea
    The Brazilian Symposium on Informatics in Education (SBIE). SBC.

2018

  • In-depth Exploration of Engagement Patterns in MOOCs
    L. Shi, A.I. Cristea
    Web Information Systems Engineering (WISE). LNCS, vol 11234. Springer.
  • Demographic Indicators Influencing Learning Activities in MOOCs: Learning Analytics of FutureLearn Courses
    L. Shi, A.I. Cristea
    Complexity in Information Systems Development (ISD). LNISO.
  • Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses
    A.I. 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
    A.I. 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?
    A.I. 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, A.I. 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, A.I. Cristea, J. Khan, L. Shi, C. Stewart
    The 3rd International Conference on Information and Education Innovations (ICIEI). ACM.