Recent Publications

2024

  • Hand Gesture Recognition for User-defined Textual Inputs and Gestures
    J Wang, I Ivrissimtzis, Z Li, L Shi
    Universal Access in the Information Society
  • Enhancing User Experience in Chinese Initial Text Conversations with Personalised AI-Powered Assistant
    J Wang, I Ivrissimtzis, Z Li, L Shi
    CHI '24: CHI Conference on Human Factors in Computing Systems
  • Investigating the Relationship Between Students' Myers-Briggs Type Indicator and Their Behavior within Educational Systems
    A Alseitova, W Oliveira, Z Li, L Shi, J Hamari
    The 24th IEEE International Conference on Advanced Learning Technologies
  • The Effects of Autonomy- and Competence-based Gamification on Students’ Flow Experience: A Controlled Experimental Study
    A Brambilla, W Oliveira, P Dantas, Z Juho Hamari, Li, L Shi, M Dindar
    The 24th IEEE International Conference on Advanced Learning Technologies
  • LBKT: A LSTM BERT-based Knowledge Tracing Model for Long-Sequence Data
    Z Li, J Yang, J Wang, L Shi, J Feng, S Stein
    The 20th International Conference on Intelligent Tutoring Systems
  • Impact of Personalised AI Chat Assistant on Mediated Human-Human Textual Conversations: Exploring Female-Male Differences
    J Wang, I Ivrissimtzis, Z Li, L Shi
    ACM Conference on Intelligent User Interfaces
  • Comparative Efficacy of 2D and 3D Virtual Reality Games in American Sign Language Learning
    J Wang, I Ivrissimtzis, Z Li, L Shi
    IEEE Conference on Virtual Reality and 3D User Interfaces
  • ARElight: Context Sampling of Large Texts for Deep Learning Relation Extraction
    N Rusnachenko, H Liang, M Kolomeets, L Shi
    The 46th European Conference on Information Retrieval
  • Automated Generation of ICD-11 Cluster Codes for Precision Medical Record Classification
    J Feng, R Zhang, D Chen, L Shi, Z Li
    International Journal of Computers Communications & Control

2023

  • Sim-GAIL: A Generative Adversarial Imitation Learning Approach of Student Modelling for Intelligent Tutoring Systems
    Z Li, L Shi, J Wang, AI Cristea, Y Zhou
    Neural Computing and Applications
  • Label-based Topic Modeling to Enhance Medical Triage for Medical Triage Robots
    J Feng, R Zhang, D Chen, L Shi, C Xiao
    Studies in Informatics and Control
  • A Visualization Method of Knowledge Graphs for the Computation and Comprehension of Ultrasound Reports
    J Feng, R Zhang, D Chen, L Shi
    Biomimetics
  • AGENCY—written evidence (LLM0028) House of Lords Communications and Digital Select Committee inquiry: Large language models
    S Malviya, R Owens, J Copilah-Ali, K Elliott, B Farrand, C Neesham, L Shi, V Vlachokyriakos, S Katsigiannis, A van Moorsel
    Source: https://committees.parliament.uk/writtenevidence/124223/html/
  • Exploring the Potential of Immersive Virtual Environments for Learning American Sign Language
    J Wang, I Ivrissimtzis, Z Li, Y Zhou, L Shi
    European Conference on Technology Enhanced Learning
  • Broader and Deeper: A Multi-Features with Latent Relations BERT Knowledge Tracing Model
    Z Li, M Jacobsen, L Shi, Y Zhou, J Wang
    European Conference on Technology Enhanced Learning
  • Reimagining AI Governance: a Response by AGENCY to the UK Government's White Paper AI Regulation
    R Owens, J Copilah-Ali, M Kolomeets, S Malviya, K Markeviciute, S Olabode, T Spiliotopoulos, H Wu, V Zhang, K Coopamootoo, A Durrant, K Elliott, S Katsigiannis, C Neesham, L Shi, B Farrand
    Reimagining AI Governance: a Response by AGENCY to the UK Government's White Paper AI Regulation (August 25, 2023)
  • User-attention based Product Aesthetics Evaluation with Image and Eye-tracking Fusion Data Analysis
    B Xing, X Song, Q Chen, L Shi, Y Pan, K Wang, M Tang
    International Conference on Intelligent Human-Machine Systems and Cybernetics
  • Leveraging Machine Learning and Russian Social Media Data to Expose Censorship and Public Opinion Bias in the Russian-Ukrainian War
    M Kolomeets, L Shi
    The 9th International workshop on Mining Actionable Insights from Social Networks (MAISoN 2023) co-located with The 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023)
  • Developing and Evaluating a Novel Gamified Virtual Learning Environment for ASL
    J Wang, I Ioannis, L Zhaoxing, Y Zhou, L Shi
    Human-Computer Interaction–INTERACT 2023: 19th IFIP TC 13 International Conference
  • Design Paradigms of 3D User Interfaces for VR Exhibitions
    Y Zhou, Z He, L Shi, L Zhaoxing, J Wang
    Human-Computer Interaction – INTERACT 2011 19th IFIP TC 13 International Conference
  • Language as a Latent Sequence: Deep Latent Variable Models for Semi-supervised Paraphrase Generation
    J Yu, AI Cristea, A Harit, Z Sun, OT Aduragba, L Shi, NA Moubayed
    AI Open 4, 19-32
  • Towards Student Behaviour Simulation: A Decision Transformer based Approach
    Z Li, L Shi, Y Zhou, J Wang
    Augmented Intelligence and Intelligent Tutoring Systems
  • User-Defined Hand Gesture Interface to Improve User Experience of Learning American Sign Language
    J Wang, I Ioannis, L Zhaoxing, Y Zhou, L Shi
    Augmented Intelligence and Intelligent Tutoring Systems
  • Emocolor: An Assistant Design Method for Emotional Color Matching based on Semantics and Images
    L Zhang, M Li, Y Wang, B Xing, X Liu, Z Tang, L Shi
    Color Research and Application
  • Probabilistic Decision Trees for Predicting 12-Month University Students Likely to Experience Suicidal Ideation
    E Drousiotis, DW Joyce, RC Dempsey, A Haines, PG Spirakis, L Shi, S Maskell
    Artificial Intelligence Applications and Innovations (AIAI) Conference
  • PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art
    T Nagai, S Klem, M Kayama, T Asuke, M Meccawy, J Wang, AI Cristea, C Stewart, L Shi
    The IEEE Global Engineering Education Conference
  • Complex Online Harms and the Smart Home: A Scoping Review
    S Olabode, R Owens, VN Zhang, J Copilah-Ali, M Kolomeets, H Wu, S Malviya, K Markeviciute, T Spiliotopoulos, C Neesham, L Shi, D Chambers
    Future Generation Computer Systems. Elsevier.

2022

  • Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention
    Z Sun, A Harit, AI Cristea, J Yu, NA Moubayed, L Shi
    IEEE Big Data.
  • Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification
    Z Sun, A Harit, AI Cristea, J Yu, OT Aduragba, L Shi, NA Moubayed
    International Joint Conference on Neural Networks
  • INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations
    J Yu, AI Cristea, A Harit, Z Sun, OT Aduragba, L Shi, NA Moubayed
    International Joint Conference on Neural Networks
  • Efficient Uncertainty Quantification for Multilabel Text Classification
    J Yu, AI Cristea, A Harit, Z Sun, OT Aduragba, L Shi, NA Moubayed
    International Joint Conference on Neural Networks
  • Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods
    E Drousiotis, L Shi, P Spirakis, S Maskell
    Engineering Applications of Neural Networks 1600, 90-102
  • 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
  • Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews
    C Xiao, L Shi, A Cristea, Z Li, Z Pan
    International Conference on Artificial Intelligence in Education
  • SimStu-Transformer: A Transformer-based Approach to Simulating Student Behaviour
    Z Li, L Shi, A Cristea, Y Zhou, C Xiao, Z Pan
    International Conference on Artificial Intelligence in Education
  • Balancing Fined-tuned Machine Learning Models between Continuous and Discrete Variables-A Comprehensive Analysis using Educational Data
    E Drousiotis, P Pentaliotis, L Shi, A Cristea
    International Conference on Artificial Intelligence in Education
  • AI‐driven user aesthetics preference prediction for UI layouts via deep convolutional neural networks
    B Xing, H Cao, L Shi, H Si, L Zhao
    Cognitive Computation and Systems

2021

  • 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 Annual Symposium Proceedings
  • 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.
  • 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
    Artificial Intelligence in Education (AIED). Springer Lecture Notes in Artificial Intelligence (LNAI).
  • 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, Cham.
  • 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, Cham.
  • 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, Cham.
  • 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, Cham.
  • 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, Cham.

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, 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.