Staff Profile

I am a Senior Lecturer (Associate Professor) in the School of Computing at Newcastle University. I am affiliated with the Open Lab. I joined the Lab and the School in December 2022, and prior to that, I was an Assistant Professor at Durham University.

I am a local organiser and web chair for AIED2022 and EDM2022. I am the Proceedings Chair for IoT2022 and Workshops and Tutorials Chair for AIED2023.

To prospective full-time PhD students: You may start your PhD study all year round. To apply for a position in my team, you need to have (or nearly complete) a BSc or an MSc degree in 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 similar. You will be supervised by an interdisciplinary academic team (me as your primary supervisor) and be part of a broader cohort of students in the Open Lab, School of Computing, and Newcastle University. For details about the application procedure, the program, fees, and funding opportunities, please refer to https://www.ncl.ac.uk/postgraduate/degrees/8050f-23/ and https://www.ncl.ac.uk/postgraduate/degrees/8195f/.

Before you apply, please email me (lei.shi@ncl.ac.uk) to discuss the possibilities and confirm the details, with your:

• Research proposal
• Full CV and covering letter that describes your background and suitability for the PhD study
• 2 reference letters
• Degree (BSc and/or MSc) transcripts and certificates
• English certificate, e.g. IELTS

My primary research interest lies in exploring ways to enhance interactions between humans and AI through the integration of Human-Computer Interaction (HCI) approaches with AI technologies. Specifically, I am 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 particularly drawn to the empirical study of the future of 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 that these values are essential for creating AI-powered systems that are not only effective but also socially responsible.

My research spans across various fields, including education, design, publicity, cyber security, healthcare, and wellbeing. 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’m a Co-I on EPSRC AGENCY: 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.

My up-to-date publication list is on Google Scholar.

I am the module leader for CSC8611 : Human-Artificial Intelligence (AI) Interaction & Futures

Before joining Newcastle, I was the module leader of COMP2261 Artificial Intelligence (Machine Learning) and COMP3647 Human-AI Interaction Design, at Durham University.

• Articles

  • Zhang Lekai, Li Ming, Wang Yifan, Xing Baixi, Liu Xiaojian, Tang Zhichuan, Shi Lei. Emocolor: An assistant design method for emotional color matching based on semantics and images. Color Research and Application 2023, 48(3), 312-327.
  • Olabode S, Owens R, Zhang N, Copilah-Ali J, Kolomeets M, Wu H, Malviya S, Markeviciute K, Spiliotopoulos T, Neesham C, Shi L, Chambers D. Complex Online Harms and the Smart Home: A Scoping Review. Future Generation Computer Systems 2023. In Press.
  • Oliveira W, Hamari J, Shi L, Toda A, Rodrigues L, Palomino P, Isotani S. Tailored gamification in education: A literature review and future agenda. Education and Information Technologies 2022, (ePub ahead of Print).
  • Xing Baixi, Cao Hanfei, Shi Lei, Si Huahao, Zhao Lina. AI‐driven user aesthetics preference prediction for UI layouts via deep convolutional neural networks. Cognitive Computation and Systems 2022, 4(3), 250-264.
  • Xing Baixi, Si Huahao, Chen Junbin, Ye Minchao, Shi Lei. Computational Model for Predicting User Aesthetic Preference for GUI using DCNNs. CCF Transactions on Pervasive Computing and Interaction 2021, 3, 147-169.
  • Toda A, Klock A, Oliveira W, Palomino P, Rodrigues Luiz, Shi L, Bittencourt I, Gasparini I, Isotani S, Cristea A. Analysing Gamification Elements in Educational Environments Using an Existing Gamification Taxonomy. Smart Learning Environments 2019, 6(1), 16.
  • Shi L, Cristea A. Learners Thrive Using Multifaceted Open Social Learner Modeling. IEEE MultiMedia 2016, 23(1), 36-47.

• Book Chapters

  • Wang Jindi, Ivrissimtzis Ioannis, Li Zhaoxing, Zhou Yunzhan, Shi Lei. User-Defined Hand Gesture Interface to Improve User Experience of Learning American Sign Language. In: Augmented Intelligence and Intelligent Tutoring Systems, 19th International Conference, ITS 2023. 2023, Corfu, Greece: Springer.
  • Li Zhaoxing, Shi Lei, Zhou Yunzhan, Wang Jindi. Towards Student Behaviour Simulation: A Decision Transformer Based Approach. In: Augmented Intelligence and Intelligent Tutoring Systems, 19th International Conference, ITS 2023. 2023, Corfu, Greece: Springer.
  • Xiao C, Shi L, Cristea A, Li Z, Pan Z. Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews. In: 23rd International Conference on Artificial Intelligence in Education (AIED 2022). Cham: Springer, 2022, pp.294-306.
  • Drousiotis E, Pentaliotis P, Shi L, Cristea A. Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data. In: 23rd International Conference on Artificial Intelligence in Education (AIED 2022). Cham: Springer, 2022, pp.256-268.
  • Shi L, Yang B, Toda A. Temporal Analysis in Massive Open Online Courses – Towards Identifying at-Risk Students Through Analyzing Demographical Changes. In: Alena Siarheyeva, Chris Barry, Michael Lang, Henry Linger, Christoph Schneider, ed. Advances in Information Systems Development: International Systems Beyond 2020. Cham: Springer, 2020, pp.146-163.
  • Alamri A, Alshehri M, Cristea A, Pereira F, Oliveira E, Shi L, Stewart C. Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week’s Activities. In: Proceedings of the 15th International Conference in Intelligent Tutoring Systems (ITS 2019). Cham: Springer, 2019, pp.163-173.
  • Shi Lei, Cristea Alexandra. Motivational Gamification Strategies Rooted in Self-Determination Theory for Social Adaptive E-Learning. In: Intelligent Tutoring Systems. ITS 2016. Springer, Cham, 2016.
  • Shi L, Cristea A, Stewart C. Students as Customers: Participatory Design for Adaptive Web 3.0. In: Pedro I, ed. The Evolution of the Internet in the Business Sector: Web 1.0 to Web 3.0. Hershey, PA: IGI Global, 2015, pp.306-331.
  • Shi Lei, MacKrill James, Dimitrokali Elisavet, Dawson Carolyn, Cain Rebecca. Digital Co-design Applied to Healthcare Environments: A Comparative Study. In: Human-Computer Interaction -- INTERACT 2015. Springer International Publishing, 2015, pp.518-522.

• Conference Proceedings (inc. Abstracts)

  • Li Zhaoxing, Shi Lei, Cristea Alexandra, Zhou Yunzhan, Xiao Chenghao, Pan Ziqi. SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour. In: 23rd International Conference, Artificial Intelligence in Education (AIED 2022). 2022, Durham, UK: Springer, Cham.
  • Drousiotis Efthyvoulos, Shi Lei, Spirakis Paul, Maskell Simon. Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods. In: 23rd International Conference on Engineering Applications of Neural Networks. 2022, Chersonissos, Crete, Greece: Springer.
  • Drousiotis Efthyvoulos, Shi Lei, Spirakis Paul, Maskell Simon. Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods. In: Engineering Applications of Neural Networks: 23rd International Conference, EAAAI/EANN 2022. 2022, Chersonissos, Crete, Greece: Springer.
  • Sun Z, Harit A, Cristea A, Yu J, Al Moubayed N, Shi L. Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. In: IEEE BigData 2022. 2022, Osaka, Japan: IEEE.
  • Yu J, Cristea A, Harit A, Sun Z, Aduragba O, Shi L, Al Moubayed N. INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. In: International Joint Conference on Neural Networks (IJCNN 2022). 2022, Padova, Italy: IEEE.
  • Xiao Chenghao, Shi Lei, Cristea Alexandra, Li Zhaoxing, Pan Ziqi. Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews. In: AIED 2022: Artificial Intelligence in Education. 2022, Durham, UK: Springer.
  • Yu J, Cristea A, Harit A, Sun Z, Aduragba O, Shi L, Al Moubayed N. Efficient Uncertainty Quantification for Multilabel Text Classification. In: International Joint Conference on Neural Networks (IJCNN 2022). 2022, Padova, Italy: IEEE.
  • Aduragba O, Yu J, Cristea A, Shi L. Detecting Fine-Grained Emotions on Social Media during Major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic. In: AMIA 2021 Annual Symposium. 2022, San Diego, USA: American Medical Informatics Association.
  • Sun Zhongtian, Harit Anoushka, Cristea Alexandra, Yu Jialin, Shi Lei, Al Moubayed Noura. Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. In: 2022 International Joint Conference on Neural Networks (IJCNN). 2022, Padova, Italy: IEEE.
  • Hodgson R, Cristea A, Shi L, Graham J. Wide-Scale Automatic Analysis of 20 Years of ITS Research. In: Intelligent Tutoring Systems. ITS 2021. 2021, Virtual Event: Springer, Cham.
  • Yu Jialin, Alrajhi Laila, Harit Anoushka, Sun Zhongtian, Cristea Alexandra, Shi Lei. Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. In: Intelligent Tutoring Systems: 17th International Conference, ITS 2021. 2021, Virtual: Springer.
  • Drousiotis Efthyvoulos, Shi Lei, Maskell Simon. Early Predictor for Student Success Based on Behavioural and Demographical Indicators. In: Intelligent Tutoring Systems: 17th International Conference, ITS 2021. 2021, Virtual: Springer.
  • Drousiotis Efthyvoulos, Pentaliotis Panagiotis, Shi Lei, Cristea Alexandra. Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study. In: Artificial Intelligence in Education: 22nd International Conference, AIED 2021. 2021, Utrecht, The Netherlands: Springer.
  • Alharbi Kholood, Cristea Alexandra, Shi Lei, Tymms Peter, Brown Chris. Agent-based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students. In: Intelligent Tutoring Systems 17th International Conference, ITS 2021. 2021, Virtual: Springer.
  • Alharbi Kholood, Cristea Alexandra, Shi Lei, Tymms Peter, Brown Chris. Agent-Based Classroom Environment Simulation: The Effect of Disruptive Schoolchildren’s Behaviour Versus Teacher Control over Neighbours. In: International Conference on Artificial Intelligence in Education AIED 2021: Artificial Intelligence in Education. 2021, Utrecht, The Netherlands: Springer.
  • Li Zhaoxing, Shi Lei, Cristea Alexandra, Zhou Yunzhan. A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns. In: DIS '21: Designing Interactive Systems Conference 2021. 2021, Virtual: Association for Computing Machinery.
  • Sun Z, Harit A, Yu J, Cristea A, Shi L. A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs. In: International Conference on Intelligent Tutoring Systems ITS 2021. 2021, Virtual: Springer.
  • Oliveira W, Toda A, Palomino P, Rodrigues L, Shi L, Isotani S. Towards Automatic Flow Experience Identification in Educational Systems: A Qualitative Study. In: Anais do XXXI Simpósio Brasileiro de Informática na Educação. 2020, Online: Sociedade Brasileira de Cardiologia.
  • Yu J, Aduragba O, Sun Z, Black S, Stewart C, Shi L, Cristea A. Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course. In: 15th International Conference on Computer Science & Education (ICCSE 2020). 2020, Delft, Netherlands: IEEE.
  • Shi L, Cristea A, Toda A, Oliveira W, Alamri A. Social Interactions Clustering MOOC Students: An Exploratory Study. In: 20th International Conference on Advanced Learning Technologies (ICALT 2020). 2020, Tartu, Estonia: IEEE.
  • Alamri Ahmed, Sun Zhongtian, Cristea Alexandra, Senthilnathan Gautham, Shi Lei, Stewart Craig. Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach. In: 16th International Conference, ITS 2020. 2020, Athens, Greece: Springer International Publishing.
  • Shi Lei, Cristea Alexandra, Toda Armando, Oliveira Wilk. Exploring Navigation Styles in a FutureLearn MOOC. In: 16th International Conference, ITS 2020. 2020, Athens, Greece: Springer.
  • Oliveira Wilk, Toda Armando, Toledo Paula, Shi Lei, Vassileva Julita, Bittencourt Ig, Isotani Seiji. Does Tailoring Gamified Educational Systems Matter? The Impact on Students' Flow Experience. In: The 53rd Hawaii International Conference on System Sciences (HICSS). 2020, Grand Wailea, Maui: University of Hawaiʻi at Mānoa.
  • Toda Armando, Palomino Paula, Rodrigues Luiz, Oliveira Wilk, Shi Lei, Isotani Seiji, Cristea Alexandra. Validating the Effectiveness of Data-Driven Gamification Recommendations: An Exploratory Study. In: The Brazilian Symposium on Informatics in Education (SBIE 2019) Simpósio Brasileiro de Informática na Educação. 2019, Brasilia, Brasil: Brazilian Computer Society.
  • Oliveira Wilk, Toda Armando, Palomino Paula, Rodrigues Luiz, Shi Lei, Isotani Seiji. Towards Automatic Flow Experience Identification in Educational Systems: A Theory-driven Approach. In: Annual Symposium on Computer-Human Interaction in Play (CHI PLAY '19). 2019, Barcelona, Spain: Association for Computing Machinery.
  • Shi L, Cristea A, Toda A, Oliveira W. Social Engagement versus Learning Engagement An Exploratory Study of FutureLearn Learners. In: IEEE 14th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2019). 2019, Dalian, China: IEEE.
  • Shi L, Cristea A, Toda A, Oliveira W. Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students. In: 28th International Conference on Information Systems Development (ISD2019). 2019, Toulon, France: Association for Information Systems.
  • Toda A, Oliveira W, Shi L, Bittencourt I, Isotani S, Cristea A. Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study. In: 12th International Conference on Educational Data Mining. 2019, Montréal, Canada: Educational Data Mining.
  • Yang Bokuan, Shi Lei, Toda Armando. Demographical Changes of Student Subgroups in MOOCs: Towards Predicting At-Risk Students. In: 28th International Conference on Information Systems Development (ISD2019). 2019, Toulon, France: Association for Information Systems.
  • Toda A, Oliveira W, Klock A, Shi L, Bittencourt I, Gasparini I, Isotani S, Cristea A, Palomino P. A Taxonomy of Game Elements for Gamification in Educational Contexts: Proposal and Evaluation. In: IEEE 19th International Conference on Advanced Learning Technologies (ICALT 2019). 2019, Maceió, Brazil: IEEE.
  • Alshehri Mohammad, Foss Jonathan, Cristea Alexandra, Kayama Mizue, Shi Lei, Alamri Ahmed, Tsakalidis Adam. On the need for fine-grained analysis of Gender versus Commenting Behaviour in MOOCs. In: The 2018 The 3rd International Conference on Information and Education Innovations (ICIEI'18). 2018, London, England: Association for Computing Machinery.
  • Cristea Alexandra, Alamri Ahmed, Kayama Mizue, Stewart Craig, Alshehri Mohammad, Shi Lei. How is Learning Fluctuating? FutureLearn MOOCs Fine-grained Temporal Analysis and Feedback to Teachers and Designers. In: The 27th International Conference on Information Systems Development (ISD2018). 2018, Lund, Sweden: Association for Information Systems.
  • Cristea Alexandra, Alamri Ahmed, Kayama Mizue, Stewart Craig, Alshehri Mohammad, Shi Lei. Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses. In: The 27th International Conference on Information Systems Development (ISD2018). 2018, Lund, Sweden: Association for Information Systems.
  • Cristea Alexandra, Alamri Ahmed, Alshehri Mohammad, Kayama Mizue, Foss Jonathan, Shi Lei, Stewart Craig. Can Learner Characteristics Predict Their Behaviour on MOOCs?. In: The 10th International Conference on Education Technology and Computers (ICETC '18). 2018, Tokyo: Association for Computing Machinery.
  • Alamr Ahmed, Rusby Harry, Cristea Alexandra, Kayama Mizue, Khan Javed, Shi Lei, Stewart Craig. An intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System. In: The 3rd International Conference on Information and Education Innovations (ICIEI'18). 2018, London, United Kingdom: Association for Computing Machinery.
  • Zhou Yiwei, Cristea Alexandra, Shi Lei. Connecting Targets to Tweets: Semantic Attention-based Model for Target-Specific stance Detection. In: Web Information Systems Engineering – WISE 2017, 18th International Conference. 2017, Puschino, Russia: Springer International Publishing.
  • Alamri Afaf, Cristea Alexandra, Shi Lei. Designing a Collaborative Group Project Recommender for an E-learning System. In: 2016 SAI Computing Conference (SAI). 2016, IEEE.
  • Shi Lei, MacKrill James, Dimitrokali Elisavet, Cain Rebecca. Digital Crowdsourcing in Healthcare Environment Co-design. In: International Conference on Information Systems Development (ISD2015). 2015, Harbin, China: Association for Information Systems.
  • Shi Lei, Dawson Carolyn, MacKrill James, Dimitrokali Elisavet, Cain Rebecca. Digital Co-design: A Future Method?. In: The 2015 British HCI Conference on - British HCI '15. 2015, Lincoln, England: Association for Computing Machinery.