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Browsing publications by Dr Lei Shi.

Newcastle AuthorsTitleYearFull text
Dr Lei Shi
Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data2022
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
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
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