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Browsing publications by Dr Lei Shi.

Newcastle AuthorsTitleYearFull text
Nicolay Rusnachenko
Dr Huizhi Liang
Dr Lei Shi
ARElight: Context Sampling of Large Texts for Deep Learning Relation Extraction2024
Dr Lei Shi
Automated Generation of ICD-11 Cluster Codes for Precision Medical Record Classification2024
Dr Lei Shi
Comparative Efficacy of 2D and 3D Virtual Reality Games in American Sign Language Learning2024
Dr Lei Shi
Hand Gesture Recognition for User-defined Textual Inputs and Gestures2024
Dr Lei Shi
Impact of Personalised AI Chat Assistant on Mediated Human-Human Textual Conversations: Exploring Female-Male Differences2024
Dr Lei Shi
LBKT: A LSTM BERT-based Knowledge Tracing Model for Long-Sequence Data2024
Dr Lei Shi
A Visualization Method of Knowledge Graphs for the Computation and Comprehension of Ultrasound Reports2023
Dr Shola Olabode
Becca Owens
Nijia Zhang
Dr Jehana Copilah-Ali
Dr Cristina Neesham
et al.		Complex Online Harms and the Smart Home: A Scoping Review2023
Dr Lei Shi
Emocolor: An assistant design method for emotional color matching based on semantics and images2023
Dr Lei Shi
Label-based Topic Modeling to Enhance Medical Triage for Medical Triage Robots2023
Dr Lei Shi
Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation2023
Becca Owens
Jehana Copilah-Ali
Dr Shola Olabode
Viana Zhang
Professor Abi Durrant
et al.		Reimagining AI Governance: a Response by AGENCY to the UK Government's White Paper AI Regulation2023
Dr Lei Shi
Sim-GAIL: A Generative Adversarial Imitation Learning Approach of Student Modelling for Intelligent Tutoring Systems2023
Dr Lei Shi
Towards Student Behaviour Simulation: A Decision Transformer Based Approach2023
Dr Lei Shi
User-Defined Hand Gesture Interface to Improve User Experience of Learning American Sign Language2023
Dr Lei Shi
AI‐driven user aesthetics preference prediction for UI layouts via deep convolutional neural networks2022
Dr Lei Shi
Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data2022
Dr Lei Shi
Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification2022
Dr Lei Shi
Detecting Fine-Grained Emotions on Social Media during Major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic2022
Dr Lei Shi
Efficient Uncertainty Quantification for Multilabel Text Classification2022
Dr Lei Shi
Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews2022
Dr Lei Shi
Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews2022
Dr Lei Shi
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations2022
Dr Noura Al Moubayed
Dr Lei Shi
Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention2022
Dr Lei Shi
Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods2022
Dr Lei Shi
Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods2022
Dr Lei Shi
SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour2022
Dr Lei Shi
Tailored gamification in education: A literature review and future agenda2022
Dr Lei Shi
A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs2021
Dr Lei Shi
A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns2021
Dr Lei Shi
Agent-Based Classroom Environment Simulation: The Effect of Disruptive Schoolchildren’s Behaviour Versus Teacher Control over Neighbours2021
Dr Lei Shi
Agent-based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students2021
Dr Lei Shi
Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study2021
Dr Lei Shi
Computational Model for Predicting User Aesthetic Preference for GUI using DCNNs2021
Dr Lei Shi
Early Predictor for Student Success Based on Behavioural and Demographical Indicators2021
Dr Lei Shi
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums2021
Dr Lei Shi
Wide-Scale Automatic Analysis of 20 Years of ITS Research2021
Dr Lei Shi
Does Tailoring Gamified Educational Systems Matter? The Impact on Students' Flow Experience2020
Dr Lei Shi
Exploring Navigation Styles in a FutureLearn MOOC2020
Dr Lei Shi
Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach2020
Dr Lei Shi
Social Interactions Clustering MOOC Students: An Exploratory Study2020
Dr Lei Shi
Temporal Analysis in Massive Open Online Courses – Towards Identifying at-Risk Students Through Analyzing Demographical Changes2020
Dr Lei Shi
Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course2020
Dr Lei Shi
Towards Automatic Flow Experience Identification in Educational Systems: A Qualitative Study2020
Dr Lei Shi
A Taxonomy of Game Elements for Gamification in Educational Contexts: Proposal and Evaluation2019
Dr Lei Shi
Analysing Gamification Elements in Educational Environments Using an Existing Gamification Taxonomy2019
Dr Lei Shi
Demographical Changes of Student Subgroups in MOOCs: Towards Predicting At-Risk Students2019
Dr Lei Shi
Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study2019
Dr Lei Shi
Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week’s Activities2019
Dr Lei Shi
Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students2019
Dr Lei Shi
Social Engagement versus Learning Engagement An Exploratory Study of FutureLearn Learners2019
Dr Lei Shi
Towards Automatic Flow Experience Identification in Educational Systems: A Theory-driven Approach2019
Dr Lei Shi
Validating the Effectiveness of Data-Driven Gamification Recommendations: An Exploratory Study2019
Dr Lei Shi
An intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System.2018
Dr Lei Shi
Can Learner Characteristics Predict Their Behaviour on MOOCs?2018
Dr Lei Shi
Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses2018
Dr Lei Shi
How is Learning Fluctuating? FutureLearn MOOCs Fine-grained Temporal Analysis and Feedback to Teachers and Designers2018
Dr Lei Shi
On the need for fine-grained analysis of Gender versus Commenting Behaviour in MOOCs.2018
Dr Lei Shi
Learners Thrive Using Multifaceted Open Social Learner Modeling2016
Dr Lei Shi
Students as Customers: Participatory Design for Adaptive Web 3.02015