Dr SHI, Lei

Assistant Professor of AI+HCI @ Durham

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About

...

Hello, I'm Lei, Director of Learning Lab, an Assistant Professor in the Department of Computer Science at Durham University. I am a member of the Innovative Computing Group and an associate in the Institute of Data Science. I am interested in Artificial Intelligence (AI) and Human-Computer Interaction (HCI) in general. I hold a PhD in Computer Science from the University of Warwick and an MSc in Digital Art and Design from Zhejiang University.

My research lies at the intersection of machine learning, behavioural analytics and interaction design. I investigate theoretical aspects of Human-AI interaction, collaboration and co-creation, as well as its practical applications in real-world settings such as education, healthcare and social innovation.

Research Interests: Machine Learning Applied-AI HCI Gamification Behavioural Analytics Intelligent Tutoring Systems

Contact
  • E231, Department of Computer Science, Durham University, Durham, DH1 3LE, UK
  • lei dot shi at durham dot ac dot uk
  • +44 (0) 191 33 48131

To prospective PhD students:

If you have a master degree in artificial intelligence, data science, applied statistics, human-technology interaction, cognitive sciences, cognitive and/or experimental psychology, learning science, applied linguistics, instructional design, industrial design, innovation sciences, or similar, you are encouraged to contact me with your: (1) one-page research proposal, (2) full CV and covering letter that describes your background and suitability for the PhD and research interests, (3) 2 reference letters, (4) degree (both BSc and MSc) transcripts and certificates, and (5) English certificate, e.g. IELTS. You will be supervised by an interdisciplinary academic team (me as your main supervisor) and be part of a broader cohort of students in the Innovative Computing Group in the Department of Computer Science, Durham University.

Funding for Postgraduate Research at Durham University

To prospective L3/L4 students @ DU:

Please visit this page for details.

Teaching

  • BUSI4R015 - Retail Science
    Durham University. Since 2019
  • COMP2231 - Software Methodologies - Machine Learning
    Durham University. Since 2019
  • COMP281 - Principles of C and Memory Management
    University of Liverpool. 2017 - 2019
  • IB137 - Programming Solutions
    University of Warwick. 2015 - 2017

Awards & Grants

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

Grants

  • 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

Professional Activities

  • Review 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.
  • Panel Reviewer
    Czech Health Research Council.
  • Journal Article Reviewer
    IEEE Transactions on Learning Technologies, Computers & Education, Computing and Informatics, World Wide Web Journal, IEEE Multimedia
  • Book Chapter Reviewer
    "The Evolution of the Internet in the Business Sector: Web 1.0 to Web 3.0" IGI Global
  • Conferences Paper Reviewer
    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), Education Technology And Computers (ICETC), International GamiFIN Conference (GamiFIN)

Invited Talks

  • Machine Learning and Educational Technologies
    Zhejiang University, Hangzhou, China. 10.2019
  • Learning Analytics and Predicting Behaviour
    Wuhan University, Wuhan, China. 04.2019
  • Behavioural Anlytics in Massive Open Online Courses‎
    Xi'an Jiaotong University, Xi'an, China. 04.2019
  • Learning Analytics using Machine Learning and Statistical Modelling
    University of São Paulo, São Carlos, Brazil. 10.2018
  • 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

2020
  • Exploring Navigation Styles in a FutureLearn MOOC
    L Shi, AI Cristea, A 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, M Alshehri
    The 20th IEEE International Conference on Advanced Learning Technologies (ICALT). 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.
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.
  • Defining and Evaluating Learner Experience for Social Adaptive E-Learning
    L Shi
    The 4th Imperial College Computing Student Workshop (ICCSW). OASIcs-OpenAccess Series in Informatics, Vol. 35. Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik.
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.
  • Evaluation of Social Personalized Adaptive E-Learning Environments: End-User Point of View
    L Shi, MSK Awan, AI Cristea
    Imperial College Computing Student Workshop (ICCSW 2013). OpenAccess Series in Informatics, Vol. 35. Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik.
  • 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