Intelligent Tutoring Systems
With the substantial development of digital technologies in multimedia, network communication and user interfaces, we are seeing an increasing number of applications of these technologies, in particular computer gaming, elearning, high-definition and interactive TVs, and virtual environments. The development of these applications typically involves the integration of existing technologies as well as the development of new technologies.
Dr Frederick Li
Assistant Professor in the Department of Computer Science
(email at firstname.lastname@example.org)
Frederick Li received both a Bachelor of Arts (Honors) in Computing Studies and a Master of Philosophy from The Hong Kong Polytechnic University in 1994 and 1998, respectively, and a Ph.D. degree in Computer Graphics from the City University of Hong Kong in 2001. He is currently a Lecturer at the University of Durham. Prior to the current appointment, he was an Assistant Professor at The Hong Kong Polytechnic University from 2003 to 2006. From 2001 to 2003, he was the project manger of a Hong Kong Government Innovation and Technology Fund (ITF) funded project.
Frederick Li serves as an Associate Editor of International Journal of Distance Education Technologies on Communications Technologies (Distributed and Collaborative Learning). He has served as the Guest Editor of two journal special issues of International Journal of Distance Education Technologies. In addition, he has also served in the committee of a number of conferences, including ACM VRST 2004 – 2008, CASA 2005, ICWL 2005 – 2008. He serves as a Program Co-chair of ICWL 2007, ICWL 2008, IDET 2008 and IDET 2009. He also serves as a Workshop Co-chair of ICWL 2009 and U-Media 2009.
- Innovative Computing
Indicators of Esteem
- Conference Organization:
- Publicity Co-Chair, ACM MM MTDL ‘2010
- Publicity Co-Chair, IEEE U-Media ‘2010
- Workshop Co-Chair, ICWL ‘2009
- Workshop Co-Chair, IEEE JCPC ‘2009
- Program Co-Chair, IDET ‘2008, ‘2009
- Program Co-Chair, IDET ‘2007, ‘2008
- Journal Editorialships:
- Associate Editor (Communications Technologies), International Journal of Distance Education Technologies (JDET), (since 2007)
- Editorial Review Board Member, International Journal of Cyber Ethics in Education (IJCEE), (since 2009)
- Innovative Computing
- Computer Graphics
- Distributed Virtual Environment
- Multimedia Systems
- Surface Modeling
- Virtual Reality
- 1: Wang, Xiaochuan, Liang, Xiaohui, Yang, Bailin & Li, Frederick W.B. (2018). Scalable Remote Rendering using Synthesized Image Quality Assessment. IEEE Access 6: 36595-36610.
- 2: Yang, Fan & Li, Frederick W.B. (2018). Study on student performance estimation, student progress analysis, and student potential prediction based on data mining. Computers & Education 123: 97-108.
- 3: Zhang, Zili, Liang, Xiaohui, Yuan, Chunqiang & Li, Frederick W.B. (2017). Modeling Cumulus Cloud Scenes from High-resolution Satellite Images. Computer Graphics Forum 36(7): 229-238.
- 4: Yang, Bailin, Li, Frederick W. B., Wang, Xun, Xu, Mingliang, Liang, Xiaohui, Jiang, Zhaoyi & Jiang, Yanhui (2016). Visual saliency guided textured model simplification. The Visual Computer 32(11): 1415-1432.
- 5: Yang, Fan, Li, Frederick W. B. & Lau, Rynson W. H. (2014). A Fine-Grained Outcome-Based Learning Path Model. IEEE Transactions on Systems, Man, and Cybernetics: Systems 44(2): 235-245.
- Yang, Bailin, Wang, Xun, Li, Frederick W.B., Xie, Binbo, Liang, Xiaohui & Jiang, Zhaoyi (2016). 3D Mesh Compression and Transmission for Mobile Robotic Applications. International Journal of Advanced Robotic Systems 13: 9.
- Lau, Rynson W. H., Yen, Neil Y., Li, Frederick W. B. & Wah, Benjamin (2014). Recent development in multimedia e-learning technologies. World Wide Web 17(2): 189-198.
- Chan, Addison & Li, Frederick W. B. (2013). Utilizing Massive Spatiotemporal Samples for Efficient and Accurate Trajectory Prediction. IEEE Transactions on Mobile Computing 12(12): 2346-2359.
- Willcocks, Chris G. & Li, Frederick W.B. (2012). Feature-Varying Skeletonization. The Visual Computer 28(6-8): 775-785.
- Zheng, Qingzheng & Li, Frederick (2011). A Mobile Environment for Sketching-based Skeleton Generation. World Wide Web 14(3): 261-279.
- Li, Frederick, Lau, Rynson, Kilis, Danny & Li, Lewis (2011). Game-On-Demand: An Online Game Engine based on Geometry Streaming. ACM Transactions on Multimedia Computing, Communications, and Applications 7(3): 19.
- Li, Frederick, Lau, Rynson & Dharmendran, Parthiban (2010). An Adaptive Course Generation Framework. International Journal of Distance Education Technologies 8(3): 74-85.
- Li, Frederick, Zhao, Jianmin, Lam, Beta & Lau, Rynson (2009). An Efficient Method for Simulating Flexible Connectors. Journal of Multimedia 4(2): 94-100.
- Li, Qing, Lau, Rynson, Leung, Elvis, Li, Frederick, Lee, Victor, Wah, Benjamin W. & Ashman, Helen (2009). Emerging Internet Technologies for E-Learning. IEEE Internet Computing 13(4): 11-17.
- Yang, Bai-Lin, Li, Frederick, Pan, Zhigeng & Wang, Xun (2008). An Effective Error Resilient Packetization Scheme for Progressive Mesh Transmission over Unreliable Networks. Journal of Computer Science and Technology 23(6): 1015-1025.
- Li, Qing, Lau, Rynson, Shih, Timothy & Li, Frederick (2008). Technology Supports for Distributed and Collaborative Learning over the Internet. ACM Transactions on Internet Technology 8(2): 10.
- Li, Frederick, Lau, Rynson, Komura, Taku, Wang, Meng & Siu, Becky (2007). Adaptive Animation of Human Motion for e-Learning Applications. Int’l Journal of Distance Education Technologies 5(2): 74-85.
- Li, Lewis, Li, Frederick & Lau, Rynson (2006). A Trajectory-Preserving Synchronization Method for Collaborative Visualization. IEEE Transactions on Visualization and Computer Graphics 12(5): 989-996.
- Cheung, Gary, Lau, Rynson & Li, Frederick (2006). Efficient Rendering of Deformable Objects for Real-time Applications. Computer Animation and Virtual Worlds 17(1): 69-81.
- Ng, Beatrice., Lau, Rynson W. H., Si, Antonio. & Li, Frederick. (2005). Multi-server support for large scale distributed virtual environments. IEEE transactions on multimedia 7(6): 1054-1065.
- Lau, Rynson, Li, Frederick, Kunii, Tosiyasu, Guo, Baining, Zhang, Bo, Magnenat-Thalmann, Nadia, Kshirsagar, Sumedha, Thalmann, Daniel & Gutierrez, Mario (2003). Emerging Web Graphics Standards and Technologies. IEEE Computer Graphics & Applications 66-75.
- Li, Frederick., Lau, Rynson W. H. & Ng, Frederick. (2003). VSculpt a distributed virtual sculpting environment for collaborative design. IEEE transactions on multimedia 5(4): 570-580.
- Li, F. & Lau, R. (1999). Incremental polygonization of deforming NURBS surfaces. Journal of Graphics Tools 4(4): 37-50.
- Li, Frederick, Lau, Rynson & Green, Mark (1997). Interactive Rendering of Deforming NURBS Surfaces. Computer Graphics Forum 16(3): 47-56.
- Yang, Fang, Li, Frederick W. B. & Lau, Rynson W. H. (2012). Learning Path Construction Based on Association Link Network. In Advances in Web-Based Learning – ICWL 2012: Proceedings of 11th International Conference, Sinaia, Romania, September 2-4, 2012. Popescu, Elvira, Li, Qing, Klamma, Ralf, Leung, Howard & Specht, Marcus Springer. 7558: 120-131.
- Li, Frederick W. B., Klamma, R., Laanpere, M., Zhang, J., Manjón, B.F. & Lau, Rynson W. H. (2015). Advances in Web-Based Learning – ICWL 2015. LNCS. Springer.
- Watson, Christopher & Li, Frederick W. B. (2014), Failure rates in introductory programming revisited, in Cajander, Åsa, Daniels, Mats Clear, Tony & Pears, Arnold eds, 2014 conference on Innovation & technology in computer science education (ITiCSE). Uppsala, Association for Computing Machinery (ACM), New York, 39-44.
- Watson, Christopher, Li, Frederick W. B. & Godwin, Jamie L. (2014), No Tests Required: Comparing Traditional and Dynamic Predictors of Programming Success, in Dougherty, J. D., Nagel, Kris, Decker, Adrienne & Eiselt, Kurt eds, 45th ACM Technical Symposium on Computer Science Education (SIGCSE ’14). Atlanta GA, Association for Computing Machinery (ACM), New York, 469-474.
- Watson, Christopher, Li, Frederick W. B. & Godwin, Jamie L. (2013), Predicting Performance in an Introductory Programming Course by Logging and Analyzing Student Programming Behavior, 2013 IEEE 13th International Conference on Advanced Learning Technologies. Beijing, IEEE Computer Society, Piscataway, NJ, 319-323.
- Watson, Christopher, Li, Frederick W. B. & Godwin, Jamie L. (2012), BlueFix: Using Crowd-sourced Feedback to Support Programming Students in Error Diagnosis and Repair, in Popescu, Elvira, Li, Qing, Klamma, Ralf, Leung, Howard & Specht, Marcus eds, Lecture Notes in Computer Science 7558: 11th International Conference on Advances in Web-Based Learning. Sinaia, Springer-Verlag, Berlin, 228-239.
- Zheng, Qingzheng, Li, Frederick Li & Lau, Rynson (2010), Sketching-Based Skeleton Generation, 2010 3rd IEEE International Conference on Ubi-Media Computing (U-Media 2010). Jinhua, China, IEEE, Piscataway, 179-186.
- Yang, Fan, Li, Frederick & Lau, Rynson (2009), Active Contour Projection for Mesh Segmentation, IEEE Joint Conferences on Pervasive Computing (JCPC). Taipei, Taiwan, IEEE, Piscataway, 865-874.
- Li, Frederick, Lau, Rynson & Kilis, Danny (2004), GameOD: An Internet Based Game-On-Demand Framework, in Lau, Rynson & Baciu, George eds, ACM symposium on Virtual reality software and technology. Hong Kong, ACM Press, 8.
- Li, Frederick, Li, Lewis & Lau, Rynson (2004), Supporting Continuous Consistency in Multiplayer Online Games,12th ACM International Conference on Multimedia. New York, USA, ACM, New York, 4.
Learning analytics is the measurement, collection, analysis and reporting of data about learners and their contexts, for purposes of understanding and optimising learning and the information system in which it occurs. It combines expertise from different academic disciplines, such as predictive modelling. It is overlapping with another two rapidly developing fields, i.e., educational data mining and academic analytics, yet learning analytics is concerned with enhancing aspects of learning.
Professor Alexandra Cristea
Professor of Computer Science in the Department of Computer Science
(email at email@example.com)
Alexandra I. Cristea is Professor, Head of the Innovative Computing research group at the Computer Science Department, Durham University. Her research includes web science, learning analytics, user modelling and personalisation, semantic web, social web, authoring, with over 250 papers on these subjects (over 3700 citations on Google Scholar, h-index 31). Especially, her work on frameworks for adaptive systems has influenced many researchers and is highly cited (with the top paper with over 180 citations and growing). She is within the top 50 researchers in the world in the area of educational computer-based research according to Microsoft Research. Prof. Cristea has been highly active and has an influential role in international research projects. She is experienced in running research projects and has led various projects – Newton funded workshop on Higher Education for All (’14-’18), Santander funded Education for disadvantaged pupils (’14-18′), Warwick-funded project APLIC (’11-;12), EU Minerva projects ALS (06-09) and EU Minerva ADAPT (’02-’05); as well as participated as university PI in several EU FP7 projects – BLOGFOREVER (’11-’13), GRAPPLE (’08- ’11), PROLEARN (’07) and as co-PI in the Warwick-funded Engaging Young People with Assistance Technologies (’13-’15) also featured by the BBC. Recently she has taken giving back to the community to a different level, with the project TechUP (2019-2020) training 100 women in computer science from various (BAME) backgrounds. She has been keynote/invited speaker, organiser, co-organizer, panelist and program committee member of various conferences in her research field (including, for example, ITS, AIED, UMAP, ED-MEDIA, Hypertext, Adaptive Hypermedia, ICCE, ICAI). She is a member of the editorial board of the IEEE Transactions on Learning Technologies, executive peer reviewer of the IEEE LTTF Education Technology and Society Journal and she was co-editor of the Advanced Technologies and Learning Journal. She acted as UNESCO expert for adaptive web-based education at a high-level (Ministry of Education and Educational institutes) meeting of East European countries, educational invited expert for the Romanian prime minister, as well as EU expert for H2020, FP7, FP6, eContentPlus. She has interacted with various international and local media (she has given a recent live radio interview to Power 106FM in Jamaica; work from her lab has been publicised by Free Radio Coventry & Warwickshire, Birmingham Post, Birmingham Mail, phys.org, The Daily Dot, Mirror, Vice Motherboard, BBC News, Pinterest, Globenewswire, Romanian TV). She is a BCS fellow, a HEA fellow, IEEE Senior Member and IEEE CS member, EATEL (European Association of Technology Enhanced Learning) founding member, ACM member.
IoC TechUP Project
100 (BAME) women will have the chance to be retrained in IT. The main page of the TechUP project is here.
- Innovative Computing
- Adaptive, personalised web
- Applied AI
- Learner Analytics Data Analytics
- Semantic Web
- Social Web
- User Modelling
- Web Science
- Tsakalidis, Adam, Papadopoulos, Symeon, Voskaki, Rania, Ioannidou, Kyriaki, Boididou, Christina, Cristea, A.I., Liakata, Maria & Kompatsiaris, Yiannis (2018). Building and evaluating resources for sentiment analysis in the Greek language. Language Resources and Evaluation
- Gkiokas, Alexandros & Cristea, A. I. (2018). Cognitive agents and machine learning by example representation with conceptual graphs. Computational Intelligence 34(2): 603-634.
- Qaffas, Alaa A. Cristea, A.I. & Mead, Mohamed A. (2018). Lightweight adaptive E-Advertising Model. Journal of Universal Computer Science 24(7): 935-974.
- Suncica Hadzidedic Bazdarevic & Cristea, A. I. (2017). Do personalisation and emotions affect the use of cancer-related websites?. Online Information Review 41(1): 102-118.
- Shi, Lei & Cristea, A. I. (2016). Learners thrive when using multifaceted open social learner models. IEEE MultiMedia 23(1): 36-47.
- Tsakalidis,Adam Papadopoulos, S. Cristea, A. I. & Kompatsiaris, Yiannis (2015). Predicting elections for multiple countries using Twitter and polls. IEEE Intelligent Systems 30(2): 10-17.
- Gkotsis, George Stepanyan, Karen Cristea, A. I. & Joy, Mike (2014). Entropy-based automated wrapper generation for weblog data extraction. World Wide Web 17(4): 827-846
- Cristea, A. I., Katsaros, Dimitrios & Manolopoulos, Yannis (2014). Introduction to the special issue of the journal World Wide Web: Social media preservation and applications. World Wide Web 17(4): 691-693.
- Ashman, Helen Brailsford, Tim Cristea, A. I., Sheng, Quan Z. Stewart, Craig Toms, Elaine G. & Wade, Vincent (2014). The ethical and social implications of personalization technologies for e-learning. Information & Management 51(6): 819-832.
Chapter in book
- Zhou, Yiwei, Demidova, Elena & Cristea, A. I. (2017). What’s new? Analysing language-specific Wikipedia entity contexts to support entity-centric news retrieval. In Transactions on Computational Collective Intelligence XXVI. Nguyen, N., Kowalczyk, R., Pinto, A. & Cardoso, J. Cham: Springer. 10190: 2010-231.
- Shi, Lei Cristea, A. I. & Hadzidedic, Suncica (2014). Multifaceted open social learner modelling. In Advances in Web-Based Learning – ICWL 2014, 13th International Conference, Tallinn, Estonia, August 14-17, 2014, Proceedings. Popescu. Elvira Lau, Rynson W. H. Pata, Kai Leung, Howard & Mart, Laanpere Cham: Springer. 8613: 32-42.
- Yiwei Zhou & Cristea, A. I. (2017), Connecting targets to tweets semantic attention-based model for target-specific stance detection, in Bouguettaya, Athman Gao, Yunjun Klimenko, Andrey Chen, Lu Zhang, Xiangliang Dzerzhinskiy, Fedor Jia, Weijia Klimenko, Stanislav V. & Li, Qing eds, Lecture Notes in Computer Science 10569: Web Information Systems Engineering – WISE 2017, 18th International Conference. Moscow, Springer, Cham, 18-32.
- Tsakalidis, Adam Liakata, Maria Damoulas, Theodoros Jellinek, Brigitte Guo, Weisi & Cristea, A. I. (2016), Combining heterogeneous user generated data to sense well-being, in Matsumoto, Yuji & Prasad, Rashmi eds,COLING 2016. Osaka, The COLING 2016 Organizing Committee, 3007-3018.
- Shi, Lei & Cristea, A. I. (2016), Motivational gamification strategies rooted in self-determination theory for social adaptive E-Learning, in Micarelli, Alessandro, Stamper, John & Panourgia, Kitty eds, Lecture Notes in Computer Science 9684: Intelligent Tutoring Systems, 13th International Conference, ITS 2016. Zagreb, Springer, 294-300.
- Zhou, Yiwei Kanhabua, N. & Cristea, A. I. (2016), Real-time timeline summarisation for high-impact events in Twitter, in Kaminka, Gal A. Fox, Maria Bouquet, Paolo Hüllermeier, Eyke Dignum, Virginia Dignum, Frank & Harmelen, Frank van eds, Frontiers in Artificial Intelligence and Applications 285: ECAI 2016. The Hague, IOS Press, 1158-1166.
- Zhou, Yiwei & Cristea, A. I. (2016), Towards detection of influential sentences affecting reputation in Wikipedia, in Nejdl, Wolfgang eds, ACM Web Science Conference 2016. Hannover, ACM, New York, 244-248.
- Zhou, Yiwei Demidova, Elena & Cristea, A. I. (2016), Who likes me more? Analysing entity-centric language-specific bias in multilingual Wikipedia, 1: SAC 2016, 31st ACM Symposium on Applied Computing. Pisa, ACM, New York, 750-757.
- Lei Shi, Cristea, A. I., Awan, M. S. K. (Malik Shahzad K.), Hendrix, Maurice & Stewart, Craig (2013), Towards understanding learning behavior patterns in social adaptive personalized e-learning systems, 5: 19th Americas Conference on Information Systems. Chicago, AMCIS, 3678.
- Gkotsis, George Stepanyan, Karen Cristea, A. I. & Joy, Mike (2013), Zero-cost labelling with web feeds for weblog data extraction, 23rd International World Wide Web Conference (WWW 2013). International World Wide Web Conferences Steering Committee, 73-74.
Available for media contact about:
- Computer Science: Web Science
- Computer Science: Learner Analytics
- Education: Learner Analytics