Dr SHI Lei

Assistant Professor at Durham University

Director of  

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About

Dr Lei Shi

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, co-decision-making 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

1033, Department of Computer Science
Mathematical Sciences & Computer Science Building
Durham University
Upper Mountjoy Campus
Stockton Road
Durham, DH1 3LE
E: lei.shi at durham dot ac dot uk
P: +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) 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 Department of Computer Science, Durham University.

Teaching

BUSI4R015 - Retail Science
Durham University. Since 2019
COMP2261 - Artificial Intelligence - 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 (AIED), since 2013.
  • International Conference on Intelligent Tutoring Systems (ITS), since 2018.
  • 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.
Panel Reviewer
Czech Health Research Council, 2015-2018.
Journal Article Reviewer
IEEE Transactions on Learning Technologies (TLT), Computers & Education, Interactive Learning Environments, Educational Research Review, 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

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