About

Hello, I'm Lei, Director of Haii Lab, Associate Professor in the Open Lab, School of Computing at Newcastle University.

My primary research interest is exploring ways to enhance human-AI interactions by integrating human-computer interaction (HCI) approaches with AI technologies. I am particularly interested in investigating how intelligent software and hardware can facilitate effective collaboration and co-creation between humans and AI while upholding ethical, legal, and societal values.

I am drawn to the empirical study of future AI-powered interactive systems, with a focus on developing and experimenting with technology that advances creativity, productivity, adaptability, participation, diversity, inclusion, and heterogeneity. I believe these values are essential for creating AI-powered systems that are not only effective but also socially responsible.

My research spans applied fields such as education, design, publicity, cybersecurity, healthcare, and well-being. I am dedicated to exploring how AI can be leveraged to improve these domains while keeping in mind the ethical and societal implications of our work. By combining HCI and AI, I hope to contribute to the development of intelligent systems that are both functional and socially conscious.

I am a Co-I on the EPSRC AGENCY project "Assuring Citizen Agency in a World with Complex Online Harms" (EP/W032481/1), which aims to establish interdisciplinary scientific methods, technology, and collaborative societal approaches to provide online agency to people in a world with complex online harms.

Contact

Open Lab, Floor 1
Urban Sciences Building
Newcastle Helix
Newcastle upon Tyne
NE4 5TG
E: lei.shi at newcastle dot ac dot uk
P: +44 (0) 191 20 84630

To prospective full-time PhD students:

We welcome applications for PhD studies throughout the year. To be eligible for a position in my team, candidates should hold (or be in the final stages of completing) a BSc or MSc degree in fields such as artificial intelligence, data science, applied statistics, human-computer interaction, cognitive sciences, cognitive and/or experimental psychology, learning science/engineering, applied linguistics, instructional design, industrial design, innovation sciences, or a related discipline. As a member of our team, you will benefit from supervision by a diverse academic team, with me as your primary supervisor. Additionally, you will be part of a vibrant cohort of students within the Open Lab at the School of Computing, Newcastle University. Please contact me via email to discuss potential research topics and clarify any details. Please ensure that your application includes the following:

A well-defined research proposal
A comprehensive CV and cover letter outlining your background and suitability for the PhD programme
Two strong reference letters
Transcripts and certificates for both your BSc and MSc degrees
An English proficiency certificate (e.g., IELTS)

Teaching

CSC8611: Human-Artificial Intelligence (AI) Interaction & Futures: Newcastle University. Since 2023
COMP3647: Human-AI Interaction Design: Durham University. 2019 - 2022
COMP2261: Artificial Intelligence - Machine Learning: Durham University. 2019 - 2022

BUSI4R015: Retail Science: Durham University. 2019 - 2021
COMP281: Principles of C and Memory Management: University of Liverpool. 2017 - 2019
IB137: Programming Solutions: University of Warwick. 2015 - 2017

Awards & Grants

Grants

Connecting Smart Sensors and Social Care Software: an Academic-industry Partnership (2023-2024): £10k, funded by HEIF, SAgE, Newcastle. 11.2023
AGENCY: Assuring Citizen Agency in a World with Complex Online Harms (2022-2025): £3.44M fEC, funded by EPSRC. 04.2022
Towards High-Level Immersion using Visual Attention Modelling: £2.5k, funded by IDAS, Durham University. 05.2021
Translational Research Access Programme (2019-2020): ~£100k, funded by HLS, University of Liverpool. 06.2019
EPSRC 2019 Vacation Bursary Programme: £300, funded by EPSRC. 03.2019
CONFAP – THE UK ACADEMIES Research Mobility Grant: ~£3.5k, jointly funded by The Royal Society UK and CONFAP Brazil. 06.2018
Researcher Link - Travel and Workshop Grant: ~£2k, funded by Newton Fund Researcher Links. 03.2018
PROGRAD/UTFPR – Innovative Methodologies for PG Edu: ~£3.5k, funded by UTFPR Brazil. 02.2018
IAS Early Career Fellowship 2014-2015: ~£27k, funded by IAS University of Warwick. 09.2014
Chancellor’s International Scholarship 2011-2014: ~£105k, funded by Warwick Graduate School. 09.2011
CSC Scholarship, oversee study (36 months) (withdrawn): ~£97.8k, jointly unded by CSC and Warwick Graduate School. 09.2011

Awards

Best Paper: IEEE ICALT, Maceió, Brazil. 07.2019
Best Student Paper: ICWL, Tallinn, Estonia. 08.2014
Best Demo: ACM UMAP, Aalborg, Denmark. 07.2014
Best Extended Abstract: YDS, York, UK. 10.2013
Best Poster: IEEE ICALT, Beijing, China. 07.2013
Excellent Graduate Award: Zhejiang Province, China’s government, China. 03.2011
Excellent Graduate Award: Zhejiang University, China. 03.2011
Outstanding Postgraduate Leader Award x 2: Zhejiang University, China. 09.2009, 09.2010
Outstanding Postgraduate Student Award x 2: Zhejiang University, China. 09.2009, 09.2010
Gold Price, Software Design Award: Infoteria Inc., Tokyo, Japan. 06.2009

Professional Activities

Professional Body

IEEE Member
IET Member
HEA Fellow
EATEL Board managing committee

Review Editor

MDPI Sensors Special Issue Guest Editor
Editorial Board of AI for Human Learning and Behavior Change, part of the journal Frontiers in Artificial Intelligence.

Programme Committee

International Conference on Artificial Intelligence in Education (AIED), since 2013.
International Conference on Intelligent Tutoring Systems (ITS), since 2018.
International Conference on Web-based Learning (ICWL), since 2019.
W15: Imagining Post-COVID Education with AI, AAAI-21, 2021.
International Conference on Web Information Systems Engineering (WISE), 2019.
Higher Education for All: International Workshop on Social, Semantic, Adaptive and Gamification techniques and technologies for Distance Learning (HEFA), 2017.
Imperial College Computing Student Workshop (ICCSW), 2012-2014.

Technical Committee

International Conference on Education Technology and Computers (ICETC), 2018, 2019.

Grant Reviewer

EPSRC, since 2023
Royal Society, since 2023
Estonian Research Council, 2018-2019
Czech Health Research Council, 2015-2018

Journal Article Reviewer

Journal of Engineering Design
IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
Journal of the Association for Information Science and Technology
International Journal of Artificial Intelligence in Education
Behaviour and Information Technology
IEEE Transactions on Learning Technologies (TLT)
Computers and Education
Interactive Learning Environments
Educational Research Review
Computing and Informatics
World Wide Web Journal
IEEE Multimedia
Multimodal Technologies and Interaction
Frontiers in Artificial Intelligence – AI for Human Learning and Behavior Change

Book Chapter Reviewer

"The Evolution of the Internet in the Business Sector: Web 1.0 to Web 3.0", IGI Global

Conferences Paper Reviewer

Human Factors in Computing Systems (CHI)
Designing Interactive Systems (DIS)
Intelligent User Interfaces (IUI)
Artificial Intelligence in Education (AIED)
Intelligent Tutoring Systems (ITS)
Americas Conference on Information Systems (AMCIS)
Web Information Systems Engineering (WISE)
User Modeling, Adaptation and Personalization (UMAP)
Educational Data Mining (EDM)
International Conference on Web-based Learning (ICWL)
Education Technology And Computers (ICETC)
International GamiFIN Conference (GamiFIN)

Invited Talks

Human-AI Interaction Design and Stories Behind: Ashton Sixth Form Taster Day, Durham University. 2023
Human-AI Interaction Design: Virtual Breakfast Talk series for Year Eight students, Rumble Museum, Cheney School, Oxford, UK. 2022
Human-Centred Decision Making through Visualisations in teaching and learning: Graduate School of Education, Harvard University, Cambridge, MA, USA. 2022
Learning Analytics and Well-informed Interventions: Human-Computer Interaction Institute, Carnegie Mellon University, Pittsburgh, PA, USA. 2022
Innovative Computing and Educational Technologies: Institute for Data Science, Durham University, Durham, UK. 2019
Machine Learning and Educational Technologies: Zhejiang University, Hangzhou, China. 2019

Learning Analytics and Predicting Behaviour: Wuhan University, Wuhan, China. 2019
Behavioural Anlytics in Massive Open Online Courses: Xi'an Jiaotong University, Xi'an, China. 2019
Learning Analytics using Machine Learning and Statistical Modelling: University of São Paulo, São Carlos, Brazil. 2018
Big Data and Learning Analytics: SSST, Sarajevo, Bosnia and Herzegovina. 05.2018
Immersion in eLearning: Northeastern University, Shenyang, China. 12.2017
Technology-Enhanced Teaching for Distance-Learning MBA: Researcher Link Workshop. Maceió, Brazil. 03.2017

Publications

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
A Visualization Method of Knowledge Graphs for the Computation and Comprehension of Ultrasound Reports: J Feng, R Zhang, D Chen, L Shi
Biomimetics
Automated Generation of ICD-11 Cluster Codes for Precision Medical Record Classification (accepted, in press): J Feng, R Zhang, D Chen, L Shi, Z Li
International Journal of Computers Communications & Control
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
The 18th 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
The 18th 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
15th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC 2023)
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 13891, 553-562
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 13891, 479-490
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 48 (3), 312-327
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
The 19th 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
The 23rd 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 4 (3), 350-264

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, A Toda, W Oliveira
15th International Conference on Computer Science & Education (ICCSE). IEEE.
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 Interactions Clustering MOOC Students: An Exploratory Study: L Shi, AI Cristea, A Toda, W Oliveira, A Alamri, M Alshehri
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, Cham.
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, Cham.
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. 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.

2017

Connecting Targets to Tweets: Semantic Attention-Based Model for Target-Specific Stance Detection: Y Zhou, AI Cristea, L Shi
Web Information Systems Engineering (WISE). LNCS, vol 10569. Springer, Cham.

2016

Motivational Gamification Strategies Rooted in Self-Determination Theory for Social Adaptive E-Learning: L Shi, AI Cristea
Intelligent Tutoring Systems (ITS). LNCS, vol 9684. Springer, Cham.
Designing a Collaborative Group Project Recommender for an e-Learning System: A Alamri, L Shi, AI Cristea
SAI Computing Conference (SAI). IEEE.
Learners Thrive Using Multifaceted Open Social Learner Modeling: L Shi, AI Cristea
IEEE MultiMedia, vol. 23, no. 1, pp. 36-47, Jan.-Mar. 2016. IEEE.

2015

Digital Co-design Applied to Healthcare Environments: A Comparative Study: L Shi, J MacKrill, E Dimitrokali, C Dawson, R Cain
Human-Computer Interaction (INTERACT). LNCS, vol 9299. Springer, Cham.
Digital Crowdsourcing in Healthcare Environment Co-design: L Shi, J MacKrill, E Dimitrokali, R Cain
The 24th International Conference on Information Systems Development (ISD). LNISO.
Digital Co-Design: A Future Method?: L Shi, c Dawson, j Mackrill, e Dimitrokali, r Cain
The 2015 British Human Computer Interaction Conference (British-HCI). ACM.
Designing an Adaptive Online Advertisement System: A Focus Group Methodology: D Al-Qudah, L Shi, AI Cristea, J Alqatawna
The 10th International Conference on Computer Science & Education (ICCSE). IEEE.
Students as Customers: Participatory Design for Adaptive Web 3.0: L Shi, AI Cristea, C Stewart, D Al-Qudah
Book Chapter: The Evolution of the Internet in the Business Sector: Web 1.0 to Web 3.0, 2015.

2014

The Critical Role of Profiles in Social E-Learning Design: L Shi, AI Cristea, S Hadzidedic
The 15th Annual Conference on Information Technology Education (SIGITE). ACM.
Designing Visualisation and Interaction for Social E-Learning: A Case Study in Topolor 2: L Shi, AI Cristea
Open Learning and Teaching in Educational Communities (EC-TEL). LNCS. Vol: 8719. Springer Cham.
Contextual Gamification of Social Interaction - Towards Increasing Motivation in Social E-Learning: L Shi, AI Cristea, S Hadzidedic, N Dervishalidovic
Advances in Web-Based Learning – ICWL 2014 (ICWL). LNCS, vol 8613. Springer, Cham.
Multifaceted Open Social Learner Modelling: L Shi, AI Cristea, S Hadzidedic
Advances in Web-Based Learning – ICWL 2014 (ICWL). LNCS, vol 8613. Springer, Cham
Making It Game-Like: Topolor 2 and Gamified Social E-Learning: L Shi, AI Cristea
The 22nd Conference on User Modeling, Adaptation and Personalization (UMAP). Springer Berlin Heidelberg.

2013

Evaluating System Functionality in Social Personalized Adaptive E-Learning Systems: L Shi, MSK Awan, AI Cristea
Scaling up Learning for Sustained Impact (EC-TEL). LNCS, vol 8095. Springer Berlin, Heidelberg.
Towards Understanding Learning Behavior Patterns in Social Adaptive Personalized E-Learning Systems: L Shi, AI Cristea, MSK Awan, C Stewart, M Hendrix
The 19th Americas Conference on Information Systems (AMCIS). AIS.
Designing Social Personalized Adaptive E-Learning: L Shi, D Al-Qudah, AI Cristea
The 18th ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE). ACM.
Social Personalized Adaptive E-Learning Environment: Topolor - Implementation and Evaluation: L Shi, G Gkotsis, K Stepanyan, D Al-Qudah, AI Cristea
Artificial Intelligence in Education (AIED). LNAI, vol 7926. Springer Berlin Heidelberg.
Evaluation of Social Interaction Features in Topolor - A Social Personalized Adaptive E-Learning System: L Shi, K Stepanyan, D Al-Qudah, AI Cristea
The 13th IEEE International Conference on Advanced Learning Technologies (ICALT). IEEE.
Topolor: A Social Personalized Adaptive E-Learning System: L Shi, D Al-Qudah, A Qaffas, AI Cristea
User Modeling, Adaptation, and Personalization (UMAP). LNCS, vol 7899. Springer Berlin Heidelberg.
Is Adaptation of E-Advertising the Way Forward?: A Qaffas, AI Cristea, L Shi
IEEE Conference on e-Learning, e-Management and e-Services (IC3e). IEEE.

More publications on Google Scholar

Dr SHI Lei

Associate Professor at Newcastle University

Director of Haii Lab