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Lei Shi 0003

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Person information

affiliation: Durham University, Department of Computer Science, UK
affiliation (2017 - 2019): University of Liverpool, Centre for Education Development and Support, UK
affiliation (PhD 2014): University of Warwick, Department of Computer Science, Coventry, UK

Other persons with the same name

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Lei Shi — disambiguation page
Lei Shi 0001 — Zhengzhou University, School of Information Engineering, China (and 1 more)
Lei Shi 0002 — Beihang University, School of Computer Science and Engineering, Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China (and 3 more)
Lei Shi 0004 — Yunnan University of Finance and Economics, School of Statistics and Mathematics, Kunming, China (and 1 more)
Lei Shi 0005 — Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, China
Lei Shi 0006 — National Institutes of Health, Computational Chemistry and Molecular Biophysics Unit, Baltimore, MD, USA (and 1 more)
Lei Shi 0007 — Cardiff University, UK
Lei Shi 0008 — Institute of Technology Carlow, Ireland (and 2 more)
Lei Shi 0009 — University of California, Helen Wills Neuroscience Institute, Berkeley, CA, USA (and 1 more)
Lei Shi 0010 — Fudan University, School of Mathematical Sciences, Shanghai Key Laboratory for Contemporary Applied Mathematics, Shanghai, China (and 3 more)

Lei Shi 0011 — Hefei University of Technology, School of Computer Science and Information Engineering, Hefei, China
Lei Shi 0012 — University of Electronic Science and Technology of China, School of Automation Engineering, Chengdu, China
Lei Shi 0013 — University of Technology Sydney, Centre for Autonomous Systems, Sydney, Australia
Lei Shi 0014 — Georgia State University, Department of Computer Science, Atlanta, GA, USA
Lei Shi 0015 — Baidu Inc., Beijing, China (and 1 more)
Lei Shi 0016 — Baidu.com Inc., Shenzhen, China (and 1 more)
Lei Shi 0017 — Northstream AB, Stockholm, Sweden (and 1 more)
Lei Shi 0018 — Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
Lei Shi 0019 — Cisco Systems, Inc., San Jose, CA, USA (and 1 more)
Lei Shi 0020 — Cornell University & Cornell Tech, Ithaca, NY, USA
Lei Shi 0021 — State University of New York at Buffalo, Computer Science and Engineering Department, Buffalo, NY, USA
Lei Shi 0022 — Dalian University of Technology, Department of Construction Management, Dalian, China
Lei Shi 0023 — Xidian University, School of Aerospace Science and Technology, Xi'an, China
Lei Shi 0024 — Macquarie University, Macquarie Business School, Department of Applied Finance, Sydney, Australia (and 1 more)
Lei Shi 0025 — Nanjing University of Aeronautics and Astronautics, Department of Mathematics, Nanjing, China (and 1 more)
Lei Shi 0026 — Anyang Normal University, School of Mathematics and Statistics, Anyang, China
Lei Shi 0027 — University of Houston, Department of Computer Science, Computational Biomedicine Laboratory, Houston, TX, USA
Lei Shi 0028 — Henan Agricultural University, College of Information and Management Science, Zhengzhou, China
Lei Shi 0029 — Lanzhou Jiaotong University, School of Automation and Electrical Engineering, China (and 1 more)

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Books and Theses

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2014
[b1]
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Lei Shi:
Scaffolding for social personalised adaptive e-learning. University of Warwick, Coventry, UK, 2014

Journal Articles

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2024
[j12]
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Jiayi Feng, Runtong Zhang, Donghua Chen, Lei Shi, Zhaoxing Li:
Automated Generation of ICD-11 Cluster Codes for Precision Medical Record Classification. Int. J. Comput. Commun. Control 19(1) (2024)
[j11]
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Liuqing Chen, Qianzhi Jing, Yunzhan Zhou, Zhaoxing Li, Lei Shi, Lingyun Sun:
Element-conditioned GAN for graphic layout generation. Neurocomputing 591: 127730 (2024)
2023
[j10]
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Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. AI Open 4: 19-32 (2023)
[j9]
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Wilk Oliveira, Juho Hamari, Lei Shi, Armando M. Toda, Luiz A. L. Rodrigues, Paula T. Palomino, Seiji Isotani:
Tailored gamification in education: A literature review and future agenda. Educ. Inf. Technol. 28(1): 373-406 (2023)
[j8]
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Huicun Yu, Bang-Ying Tang, Haolin Ding, Yang Xue, Jie Tang, Xingyu Wang, Bo Liu, Lei Shi:
Airborne Quantum Key Distribution Performance Analysis under Supersonic Boundary Layer. Entropy 25(3): 472 (2023)
[j7]
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Zhaoxing Li, Lei Shi, Jindi Wang, Alexandra I. Cristea, Yunzhan Zhou:
Sim-GAIL: A generative adversarial imitation learning approach of student modelling for intelligent tutoring systems. Neural Comput. Appl. 35(34): 24369-24388 (2023)
2022
[j6]
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Baixi Xing, Hanfei Cao, Lei Shi, Huahao Si, Lina Zhao:
AI-driven user aesthetics preference prediction for UI layouts via deep convolutional neural networks. Cogn. Comput. Syst. 4(3): 250-264 (2022)
[j5]
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Xue Qin, Lei Shi, Yi Zou, Zhengwen Tu, Xiaolin Xiong, Xinsong Yang:
Synchronization of Discrete-Time Switched 2-D Systems with Markovian Topology via Fault Quantized Output Control. Neural Process. Lett. 54(1): 165-180 (2022)
2021
[j4]
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Baixi Xing, Huahao Si, Junbin Chen, Minchao Ye, Lei Shi:
Computational model for predicting user aesthetic preference for GUI using DCNNs. CCF Trans. Pervasive Comput. Interact. 3(2): 147-169 (2021)
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Yachun Yang, Zhengwen Tu, Liangwei Wang, Jinde Cao, Lei Shi, Wenhua Qian:
H∞ synchronization of delayed neural networks via event-triggered dynamic output control. Neural Networks 142: 231-237 (2021)
2019
[j2]
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Armando Maciel Toda, Ana Carolina Tomé Klock, Wilk Oliveira, Paula Toledo Palomino, Luiz A. L. Rodrigues, Lei Shi, Ig Ibert Bittencourt, Isabela Gasparini, Seiji Isotani, Alexandra I. Cristea:
Analysing gamification elements in educational environments using an existing Gamification taxonomy. Smart Learn. Environ. 6(1): 16 (2019)
2016
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Lei Shi, Alexandra I. Cristea:
Learners Thrive Using Multifaceted Open Social Learner Modeling. IEEE Multim. 23(1): 36-47 (2016)

Conference and Workshop Papers

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2024
[c70]
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Jindi Wang, Ioannis P. Ivrissimtzis, Zhaoxing Li, Lei Shi:
Enhancing User Experience in Chinese Initial Text Conversations with Personalised AI-Powered Assistant. CHI Extended Abstracts 2024: 129:1-129:7
[c69]
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Nicolay Rusnachenko, Huizhi Liang, Maksim Kalameyets, Lei Shi:
ARElight: Context Sampling of Large Texts for Deep Learning Relation Extraction. ECIR (5) 2024: 229-235
[c68]
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Akerke Alseitova, Wilk Oliveira, Zhaoxing Li, Lei Shi, Juho Hamari:
The Relationship Between Students' Myers-Briggs Type Indicator and Their Behavior within Educational Systems. ICALT 2024: 3-7
[c67]
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Andrea Brambilla, Wilk Oliveira, Pasqueline Dantas Scaico, Juho Hamari, Zhaoxing Li, Lei Shi, Muhterem Dindar:
The Effects of Gamification on Students' Flow Experience: A Controlled Experimental Study. ICALT 2024: 245-249
[c66]
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Zhaoxing Li, Jujie Yang, Jindi Wang, Lei Shi, Jiayi Feng, Sebastian Stein:
LBKT: A LSTM BERT-Based Knowledge Tracing Model for Long-Sequence Data. ITS (2) 2024: 174-184
[c65]
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Jindi Wang, Ioannis P. Ivrissimtzis, Zhaoxing Li, Lei Shi:
Impact of Personalised AI Chat Assistant on Mediated Human-Human Textual Conversations: Exploring Female-Male Differences. IUI Companion 2024: 78-83
[c64]
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Jindi Wang, Ioannis P. Ivrissimtzis, Zhaoxing Li, Lei Shi:
Comparative Efficacy of 2D and 3D Virtual Reality Games in American Sign Language Learning. VR Workshops 2024: 875-876
2023
[c63]
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Zhaoxing Li, Mark Jacobsen, Lei Shi, Yunzhan Zhou, Jindi Wang:
Broader and Deeper: A Multi-Features with Latent Relations BERT Knowledge Tracing Model. EC-TEL 2023: 183-197
[c62]
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Jindi Wang, Ioannis P. Ivrissimtzis, Zhaoxing Li, Yunzhan Zhou, Lei Shi:
Exploring the Potential of Immersive Virtual Environments for Learning American Sign Language. EC-TEL 2023: 459-474
[c61]
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Takashi Nagai, Strahinja Klem, Mizue Kayama, Takehiko Asuke, Maram Meccawy, Jingyun Wang, Alexandra I. Cristea, Craig D. Stewart, Lei Shi:
PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art. EDUCON 2023: 1-6
[c60]
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Efthyvoulos Drousiotis, Dan W. Joyce, Robert C. Dempsey, Alina Haines, Paul G. Spirakis, Lei Shi, Simon Maskell:
Probabilistic Decision Trees for Predicting 12-Month University Students Likely to Experience Suicidal Ideation. AIAI (1) 2023: 475-487
[c59]
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Jindi Wang, Ioannis P. Ivrissimtzis, Zhaoxing Li, Yunzhan Zhou, Lei Shi:
Developing and Evaluating a Novel Gamified Virtual Learning Environment for ASL. INTERACT (1) 2023: 459-468
[c58]
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Yunzhan Zhou, Lei Shi, Zexi He, Zhaoxing Li, Jindi Wang:
Design Paradigms of 3D User Interfaces for VR Exhibitions. INTERACT (2) 2023: 618-627
[c57]
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Jindi Wang, Ioannis P. Ivrissimtzis, Zhaoxing Li, Yunzhan Zhou, Lei Shi:
User-Defined Hand Gesture Interface to Improve User Experience of Learning American Sign Language. ITS 2023: 479-490
[c56]
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Zhaoxing Li, Lei Shi, Yunzhan Zhou, Jindi Wang:
Towards Student Behaviour Simulation: A Decision Transformer Based Approach. ITS 2023: 553-562
2022
[c55]
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Efthyvoulos Drousiotis, Panagiotis Pentaliotis, Lei Shi, Alexandra I. Cristea:
Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data. AIED (1) 2022: 256-268
[c54]
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Chenghao Xiao, Lei Shi, Alexandra I. Cristea, Zhaoxing Li, Ziqi Pan:
Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews. AIED (1) 2022: 294-306
[c53]
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Zhaoxing Li, Lei Shi, Alexandra I. Cristea, Yunzhan Zhou, Chenghao Xiao, Ziqi Pan:
SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour. AIED (2) 2022: 348-351
[c52]
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Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Noura Al Moubayed, Lei Shi:
Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. IEEE Big Data 2022: 5352-5360
[c51]
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Efthyvoulos Drousiotis, Lei Shi, Paul G. Spirakis, Simon Maskell:
Novel Decision Forest Building Techniques by Utilising Correlation Coefficient Methods. EANN 2022: 90-102
[c50]
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Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jialin Yu, Lei Shi, Noura Al Moubayed:
Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. IJCNN 2022: 1-6
[c49]
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Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. IJCNN 2022: 1-8
[c48]
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Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
Efficient Uncertainty Quantification for Multilabel Text Classification. IJCNN 2022: 1-8
2021
[c47]
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Zhaoxing Li, Lei Shi, Alexandra I. Cristea, Yunzhan Zhou:
A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns. Conference on Designing Interactive Systems 2021: 1579-1590
[c46]
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Khulood Alharbi, Alexandra I. Cristea, Lei Shi, Peter Tymms, Chris Brown:
Agent-Based Classroom Environment Simulation: The Effect of Disruptive Schoolchildren's Behaviour Versus Teacher Control over Neighbours. AIED (2) 2021: 48-53
[c45]
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Efthyvoulos Drousiotis, Panagiotis Pentaliotis, Lei Shi, Alexandra I. Cristea:
Capturing Fairness and Uncertainty in Student Dropout Prediction - A Comparison Study. AIED (2) 2021: 139-144
[c44]
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Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Lei Shi:
Detecting Fine-Grained Emotions on Social Media during major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic. AMIA 2021
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Ryan Hodgson, Alexandra I. Cristea, Lei Shi, John Graham:
Wide-Scale Automatic Analysis of 20 Years of ITS Research. ITS 2021: 8-21
[c42]
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Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Lei Shi:
A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs. ITS 2021: 28-37
[c41]
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Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi:
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. ITS 2021: 78-90
[c40]
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Efthyvoulos Drousiotis, Lei Shi, Simon Maskell:
Early Predictor for Student Success Based on Behavioural and Demographical Indicators. ITS 2021: 161-172
[c39]
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Khulood Alharbi, Alexandra I. Cristea, Lei Shi, Peter Tymms, Chris Brown:
Agent-Based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students. ITS 2021: 211-223
2020
[c38]
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Wilk Oliveira, Armando Maciel Toda, Paula Toledo Palomino, Lei Shi, Julita Vassileva, Ig Ibert Bittencourt, Seiji Isotani:
Does Tailoring Gamified Educational Systems Matter? The Impact on Students' Flow Experience. HICSS 2020: 1-10
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Jialin Yu, Olanrewaju Tahir Aduragba, Zhongtian Sun, Sue Black, Craig D. Stewart, Lei Shi, Alexandra I. Cristea:
Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course. ICCSE 2020: 182-187
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Lei Shi, Alexandra I. Cristea, Armando Maciel Toda, Wilk Oliveira:
Exploring Navigation Styles in a FutureLearn MOOC. ITS 2020: 45-55
[c35]
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Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Gautham Senthilnathan, Lei Shi, Craig D. Stewart:
Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach. ITS 2020: 353-363
2019
[c34]
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Wilk Oliveira, Armando Maciel Toda, Paula Toledo Palomino, Luiz A. L. Rodrigues, Seiji Isotani, Lei Shi:
Towards Automatic Flow Experience Identification in Educational Systems: A Theory-driven Approach. CHI PLAY (Companion) 2019: 581-588
[c33]
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Armando Maciel Toda, Wilk Oliveira, Lei Shi, Ig Ibert Bittencourt, Seiji Isotani, Alexandra I. Cristea:
Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study. EDM 2019
[c32]
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Armando Maciel Toda, Wilk Oliveira, Ana Carolina Tomé Klock, Paula Toledo Palomino, Marcelo Pimenta, Ig Ibert Bittencourt, Lei Shi, Isabela Gasparini, Seiji Isotani, Alexandra I. Cristea:
A Taxonomy of Game Elements for Gamification in Educational Contexts: Proposal and Evaluation. ICALT 2019: 84-88
[c31]
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Lei Shi, Alexandra I. Cristea, Armando Maciel Toda, Wilk Oliveira:
Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students. ISD 2019
[c30]
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Bokuan Yang, Lei Shi, Armando Maciel Toda:
Demographical Changes of Student Subgroups in MOOCs: Towards Predicting At-Risk Students. ISD 2019
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Lei Shi, Alexandra I. Cristea, Armando M. Toda, Wilk Oliveira:
Social Engagement versus Learning Engagement An Exploratory Study of FutureLearn Learners. ISKE 2019: 476-483
[c28]
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Ahmed Alamri, Mohammad Alshehri, Alexandra I. Cristea, Filipe D. Pereira, Elaine H. T. Oliveira, Lei Shi, Craig D. Stewart:
Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities. ITS 2019: 163-173
2018
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Alexandra I. Cristea, Ahmed Alamri, Mohammad Alshehri, Mizue Kayama, Jonathan G. K. Foss, Lei Shi, Craig D. Stewart:
Can learner characteristics predict their behaviour on MOOCs? ICETC 2018: 119-128
[c26]
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Ahmed Alamri, Harry Rusby, Alexandra I. Cristea, Mizue Kayama, Javed I. Khan, Lei Shi, Craig D. Stewart:
An Intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System. ICIEI 2018: 57-61
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Mohammad Alshehri, Jonathan G. K. Foss, Alexandra I. Cristea, Mizue Kayama, Lei Shi, Ahmed Alamri, Adam Tsakalidis:
On the Need for Fine-Grained Analysis of Gender Versus Commenting Behaviour in MOOCs. ICIEI 2018: 73-77
[c24]
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Lei Shi, Alexandra I. Cristea:
Demographic Indicators Influencing Learning Activities in MOOCs: Learning Analytics of FutureLearn Courses. ISD 2018
[c23]
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Alexandra I. Cristea, Mohammad Alshehri, Ahmed Alamri, Mizue Kayama, Craig D. Stewart, Lei Shi:
How is Learning Fluctuating? FutureLearn MOOCs Fine-Grained Temporal Analysis and Feedback to Teachers. ISD 2018
[c22]
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Alexandra I. Cristea, Ahmed Alamri, Mizue Kayama, Craig D. Stewart, Mohammad Alshehri, Lei Shi:
Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn courses. ISD 2018
[c21]
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Lei Shi, Alexandra I. Cristea:
In-depth Exploration of Engagement Patterns in MOOCs. WISE (2) 2018: 395-409
2017
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Yiwei Zhou, Alexandra I. Cristea, Lei Shi:
Connecting Targets to Tweets: Semantic Attention-Based Model for Target-Specific Stance Detection. WISE (1) 2017: 18-32
2016
[c19]
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Lei Shi, Alexandra I. Cristea:
Motivational Gamification Strategies Rooted in Self-Determination Theory for Social Adaptive E-Learning. ITS 2016: 294-300
2015
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Lei Shi, Carolyn Dawson, James MacKrill, Elisavet Dimitrokali, Rebecca Cain:
Digital co-design: a future method? BCS HCI 2015: 295-296
[c17]
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Lei Shi, James MacKrill, Elisavet Dimitrokali, Carolyn Dawson, Rebecca Cain:
Digital Co-design Applied to Healthcare Environments: A Comparative Study. INTERACT (4) 2015: 518-522
[c16]
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Lei Shi, James MacKrill, Elisavet Dimitrokali, Rebecca Cain:
Digital Crowdsourcing in Healthcare Environment Co-design. ISD 2015
2014
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Lei Shi, Alexandra I. Cristea:
Designing Visualisation and Interaction for Social E-Learning: A Case Study in Topolor 2. EC-TEL 2014: 526-529
[c14]
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Lei Shi:
Defining and Evaluating Learner Experience for Social Adaptive E-Learning. ICCSW 2014: 74-82
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Lei Shi, Alexandra I. Cristea, Suncica Hadzidedic:
Multifaceted Open Social Learner Modelling. ICWL 2014: 32-42
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Lei Shi, Alexandra I. Cristea, Suncica Hadzidedic, Naida Dervishalidovic:
Contextual Gamification of Social Interaction - Towards Increasing Motivation in Social E-learning. ICWL 2014: 116-122
[c11]
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Lei Shi, Alexandra I. Cristea, Suncica Hadzidedic:
The critical role of profiles in social e-learning design. SIGITE 2014: 71-76
[c10]
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Lei Shi, Alexandra I. Cristea:
Making it Game-Like: Topolor 2 and Gamified Social E-Learning. UMAP Workshops 2014
2013
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Lei Shi, George Gkotsis, Karen Stepanyan, Dana Al Qudah, Alexandra I. Cristea:
Social Personalized Adaptive E-Learning Environment: Topolor - Implementation and Evaluation. AIED 2013: 708-711
[c8]
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Lei Shi, Alexandra I. Cristea, Malik Shahzad Kaleem Awan, Craig D. Stewart, Maurice Hendrix:
Towards Understanding Learning Behavior Patterns in Social Adaptive Personalized E-Learning Systems. AMCIS 2013
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Lei Shi, Malik Shahzad Kaleem Awan, Alexandra I. Cristea:
Evaluating System Functionality in Social Personalized Adaptive E-Learning Systems. EC-TEL 2013: 633-634
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Lei Shi, Karen Stepanyan, Dana Al Qudah, Alexandra I. Cristea:
Evaluation of Social Interaction Features in Topolor - A Social Personalized Adaptive E-Learning System. ICALT 2013: 294-295
[c5]
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Lei Shi, Malik Shahzad Kaleem Awan, Alexandra I. Cristea:
Evaluation of Social Personalized Adaptive E-Learning Environments: End-User Point of View. ICCSW 2013: 103-110
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Lei Shi, Dana Al Qudah, Alexandra I. Cristea:
Designing social personalized adaptive e-learning. ITiCSE 2013: 341
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Lei Shi, Dana Al Qudah, Alaa A. Qaffas, Alexandra I. Cristea:
Topolor: A Social Personalized Adaptive E-Learning System. UMAP 2013: 338-340
[c2]
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Dana Al Qudah, Alexandra I. Cristea, Lei Shi:
An Exploratory Study to Design an Adaptive Hypermedia System for Online-advertisement. WEBIST 2013: 368-374
2012
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Lei Shi, Dana Al Qudah, Alexandra I. Cristea:
Apply the We!Design Methodology in E-learning 2.0 System Design: A Pilot Study. ICCSW 2012: 123-128

Informal and Other Publications

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2024
[i14]
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Zhaoxing Li, Jujie Yang, Jindi Wang, Lei Shi, Sebastian Stein:
Integrating LSTM and BERT for Long-Sequence Data Analysis in Intelligent Tutoring Systems. CoRR abs/2405.05136 (2024)
[i13]
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  - journals/corr/abs-2405-08908
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Jindi Wang, Ioannis P. Ivrissimtzis, Zhaoxing Li, Lei Shi:
The Impact of 2D and 3D Gamified VR on Learning American Sign Language. CoRR abs/2405.08908 (2024)
2023
[i12]
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  - journals/corr/abs-2301-02275
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Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
Deep Latent Variable Models for Semi-supervised Paraphrase Generation. CoRR abs/2301.02275 (2023)
2022
[i11]
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Jialin Yu, Alexandra I. Cristea, Anoushka Harit, Zhongtian Sun, Olanrewaju Tahir Aduragba, Lei Shi, Noura Al Moubayed:
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. CoRR abs/2209.01061 (2022)
2021
[i10]
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  - journals/corr/abs-2104-12643
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Jialin Yu, Laila Alrajhi, Anoushka Harit, Zhongtian Sun, Alexandra I. Cristea, Lei Shi:
Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. CoRR abs/2104.12643 (2021)
2020
[i9]
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  - journals/corr/abs-2008-03982
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Lei Shi, Alexandra I. Cristea, Ahmad Alamri, Armando Maciel Toda, Wilk Oliveira:
Social Interactions Clustering MOOC Students: An Exploratory Study. CoRR abs/2008.03982 (2020)
[i8]
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  - journals/corr/abs-2008-04373
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Lei Shi, Alexandra I. Cristea, Armando Maciel Toda, Wilk Oliveira:
Exploring Navigation Styles in a FutureLearn MOOC. CoRR abs/2008.04373 (2020)
[i7]
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  - journals/corr/abs-2008-04811
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Lei Shi, Alexandra I. Cristea, Armando Maciel Toda, Wilk Oliveira:
Social Engagement versus Learning Engagement - An Exploratory Study of FutureLearn Learners. CoRR abs/2008.04811 (2020)
[i6]
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  - journals/corr/abs-2008-05209
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Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Gautham Senthilnathan, Lei Shi, Craig D. Stewart:
Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach. CoRR abs/2008.05209 (2020)
[i5]
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  - journals/corr/abs-2008-05473
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Armando Maciel Toda, Ana Carolina Tomé Klock, Wilk Oliveira, Paula Toledo Palomino, Luiz A. L. Rodrigues, Lei Shi, Ig Ibert Bittencourt, Isabela Gasparini, Seiji Isotani, Alexandra I. Cristea:
Analysing gamification elements in educational environments using an existing Gamification taxonomy. CoRR abs/2008.05473 (2020)
[i4]
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  - journals/corr/abs-2008-05847
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Armando Maciel Toda, Paula Toledo Palomino, Luiz A. L. Rodrigues, Wilk Oliveira, Lei Shi, Seiji Isotani, Alexandra I. Cristea:
Validating the Effectiveness of Data-Driven Gamification Recommendations: An Exploratory Study. CoRR abs/2008.05847 (2020)
[i3]
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  - journals/corr/abs-2008-05849
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Ahmed Alamri, Mohammad Alshehri, Alexandra I. Cristea, Filipe D. Pereira, Elaine H. T. Oliveira, Lei Shi, Craig D. Stewart:
Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities. CoRR abs/2008.05849 (2020)
[i2]
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  - journals/corr/abs-2008-05850
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Lei Shi, Alexandra I. Cristea, Armando M. Toda, Wilk Oliveira:
Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students. CoRR abs/2008.05850 (2020)
2019
[i1]
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  - journals/corr/abs-1905-09146
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Armando Maciel Toda, Wilk Oliveira, Lei Shi, Ig Ibert Bittencourt, Seiji Isotani, Alexandra I. Cristea:
Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study. CoRR abs/1905.09146 (2019)

Coauthor Index

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