Staff profile

Bio

Alexandra I. Cristea is Professor, Deputy Executive Dean of the Faculty of Science, Director of Research and Founder of the Artificial Intelligence in Human Systems research group in the Department of Computer Science at Durham University. She is Advisory Board Member at the Ustinov College, Alan Turing Academic Liason for Durham, N8 CIR Digital Humanities team lead for Durham and member of the IEEE European Public Policy on ICT. Her research includes web science, learning analytics, user modelling and personalisation, semantic web, social web, authoring, with over 300 papers on these subjects (over 5700 citations on Google Scholar, h-index 40). Especially, her work on frameworks for adaptive systems has influenced many researchers and is highly cited (with the top paper with over 220 citations). She was classified within the top 50 researchers in the world in the area of educational computer-based research according to  Microsoft Research (2015-02-10). Prof. Cristea has been highly active and has an influential role in international research projects. She leads and has led various projects - the ATI@Durham Research Network (2022); the Epistemological Engine (2021-22); Weizman Institute funded JANET (Joint Lab in Learning Analytics for Personalised Science Teaching) project (2020-2023); Predictive and prescriptive analytics for the media industry, Distinctive Publishing (2019-2023); 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, leading the MESSENGER (Women inSTEM and Cultural Diversity) (2022); Empowering women in science through mentoring and exchanging experiences (2021-22) (UK-Brazil Gender Equality Partnership funded by the British Council), and co-leading the TechUP  project series (Bootcamp 2021) (2019-2020: training 100 women in computer science from various (BAME) backgrounds). She has been keynote/invited speaker, chair, organiser, co-organizer, panellist and program committee member of various conferences in her research field (including, for example, ITS, AIED, UMAP, ED-MEDIA, Hypertext, Adaptive Hypermedia, EDM, ICCE, ICAI). She is an , Associate Editor of the ACM Computing Surveys, Associate Editor of Frontiers in Artificial Intelligence and she was Associate Editor of the IEEE Transactions on Learning Technologies, co-editor of the Advanced Technologies and Learning Journal and executive peer reviewer of the IEEE LTTF Education Technology and Society 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.

News

Publications

• Google Scholar
• past paper list kept at Warwick

• Web Science
• User Modelling
• Adaptive, personalised web
• Social Web
• Semantic Web
• Applied AI
• Learner Analytics Data Analytics
• VR, XR, CR

Available for media contact about:

• Computer Science: Web Science
• Computer Science: Learner Analytics
• Education: Learner Analytics
• Gender differences:

Chapter in book

• Xiao, Chenghao, Shi, Lei, Cristea, Alexandra, Li, Zhaoxing & Pan, Ziqi (2022). Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews. In Artificial Intelligence in Education. Rodrigo, M.M., Matsuda, N., Cristea, A.I. & Dimitrova, V. Springer, Cham. 13355: 294-306.
• Drousiotis, Efthyvoulos, Pentaliotis, Panagiotis, Shi, Lei & Cristea, Alexandra I. (2022). Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data. In Artificial Intelligence in Education. Springer, Cham. 13355: 256-268.
• Alshehri, Mohammad, Alamri, Ahmed & Cristea, Alexandra I. (2022). Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs. In Artificial Intelligence in Education. Mercedes Rodrigo, Maria, Matsuda, Noburu, Cristea, Alexandra I. & Dimitrova, Vania Springer. 13355: 717-723.
• Aljohani, Tahani, Cristea, Alexandra I. & Alrajhi, Laila (2022). Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCs. In Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. Mercedes Rodrigo, Maria, Matsuda, Noburu, Cristea, Alexandra I. & Dimitrova, Vania Springer. 13356: 396-399.
• Alshehri, Mohammad & Cristea, Alexandra I. (2022). MOOCs Paid Certification Prediction Using Students Discussion Forums. In Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. Mercedes Rodrigo, Maria, Matsuda, Noburu Cristea, Alexandra I. & Dimitrova, Vania Springer. 13356: 542-545.
• Wynn, Adam T., Wang, Jingyun, Umezawa, Kaoru & Cristea, Alexandra I. (2022). An AI-Based Feedback Visualisation System for Speech Training. In Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. Mercedes Rodrigo, Maria, Matsuda, Noburu, Cristea, Alexandra I. & Dimitrova, Vania Cham: Springer. 13356: 510-514.
• Li, Zhaoxing, Shi, Lei, Cristea, Alexandra, Zhou, Yunzhan, Xiao, Chenghao & Pan, Ziqi (2022). SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour. In Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. Springer, Cham. 13356: 348-351.
• Alrajhi, Laila, Pereira, Filipe Dwan, Cristea, Alexandra I. & Aljohani, Tahani (2022). A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs. In Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. Mercedes Rodrigo, Maria, Matsuda, Noburu, Cristea, Alexandra I. & Dimitrova, Vania Springer. 13356: 424-427.
• Alrajhi, Laila, Alamri, Ahmed & Cristea, Alexandra I. (2022). Intervention Prediction in MOOCs Based on Learners’ Comments: A Temporal Multi-input Approach Using Deep Learning and Transformer Models. In Intelligent Tutoring Systems. Crossley, Scott & Popescu, Elvira Springer. 13284: 227-237.
• Wang, Jingyun, Hodgson, Ryan & Cristea, Alexandra I. (2022). MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning. In Intelligent Tutoring Systems. Crossley, Scott & Popescu, Elvira Cham: Springer. 13284: 313-322.
• Yacobson, Elad, Toda, Armando, Cristea, Alexandra, I. & Alexandron, Giora (2021). Encouraging Teacher-sourcing of Social Recommendations Through Participatory Gamification Design. In Intelligent Tutoring Systems: 17th International Conference, ITS 2021, Virtual Event, June 7–11, 2021, Proceedings. Cristea, Alexandra, I. & Troussas, Christos Springer. 12677: 418-429.
• Alamri, Ahmed, Sun, Zhongtian, Cristea, Alexandra I., Steward, Craig & Pereira, Filipe Dawn (2021). MOOC next week dropout prediction: weekly assessing time and learning patterns. In Intelligent Tutoring Systems: 17th International Conference, ITS 2021, Virtual Event, June 7–11, 2021, Proceedings. Cristea, Alexandra I. & Troussas, Christos Springer. 12677: 119-130.
• Alrajhi, Laila, Alamri, Ahmed, Pereira, Filipe Dwan & Cristea, Alexandra I. (2021). Urgency Analysis of Learners’ Comments: An Automated Intervention Priority Model for MOOC. In Intelligent Tutoring Systems: 17th International Conference, ITS 2021, Virtual Event, June 7–11, 2021, Proceedings. Cristea, Alexandra I. & Troussas, Christos Springer. 12677: 148-160.
• Aljohani, Tahani & Cristea, Alexandra I. (2021). Training Temporal and NLP Features via Extremely Randomised Trees for Educational Level Classification. In Intelligent Tutoring Systems: 17th International Conference, ITS 2021, Virtual Event, June 7–11, 2021, Proceedings. Cristea, Alexandra I. & Troussas, Christos Springer. 12677.
• Pereira, Felipe D. Junior, Hermino B. F., Rodriquez, Luiz, Toda, Armando, Oliveira, Elaine H. T., Cristea, Alexandra I., Oliveira, David B. F., Carvalho, Leandro S. G., Fonseca, Samuel C., Alamri, Ahmed & Isotani, Seiji (2021). A Recommender System Based on Effort: Towards Minimising Negative Affects and Maximising Achievement in CS1 Learning. In Intelligent Tutoring Systems: 17th International Conference, ITS 2021, Virtual Event, June 7–11, 2021, Proceedings. Cristea, Alexandra I. & Troussas, Christos Springer. 12677: 466-480.
• Alshehri, Mohammad, Alamri, Ahmed & Cristea, Alexandra I. (2021). Predicting Certification in MOOCs based on Students’ Weekly Activities. In Intelligent Tutoring Systems: 17th International Conference, ITS 2021, Virtual Event, June 7–11, 2021, Proceedings. Cristea, Alexandra I. & Troussas, Christos Springer. 12677: 173-185.
• Drousiotis, Efthyvoulos, Pentaliotis, Panagiotis, Shi, Lei & Cristea, Alexandra I. (2021). Capturing Fairness and Uncertainty in Student Dropout Prediction – A Comparison Study. In Artificial Intelligence in Education. Roll, Ido McNamara, Danielle Sosnovsky, Sergey Luckin, Rose & Dimitrova, Vania Springer, Cham. 12749: 139-144.
• Shi, Lei, Cristea, Alexandra I., Toda, Armando M. & Oliveira, Wilk (2020). Exploring Navigation Styles in a FutureLearn MOOC. In Intelligent Tutoring Systems. Kumar, Vivekanandan & Troussas, Christos Springer. 12149: 45-55.
• Alamri, Ahmed, Alshehri, Mohammad, Cristea, Alexandra I., Pereira, Filipe D., Oliveira, Elaine, Shi, Lei & Stewart, Craig (2019). Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week’s Activities. In Intelligent Tutoring Systems. ITS 2019. Coy, Andre, Hayashi, Yugo & Chang, Maiga Cham: Springer. 11528: 163-173.
• 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, L. Cristea, A. I. & Hadzidedic, S. (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.

Conference Paper

• Nagai, Takashi, Klem, Strahinja, Kayama, Mizue, Asuke, Takehiko, Meccawy, Maram, Wang, Jingyun, Cristea, Alexandra I., Stewart, Craig D. & Shi, Lei (2023), PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art, 2023 IEEE Global Engineering Education Conference (EDUCON). Kuwait, IEEE.
• Aduragba, Tahir Olanrewaju, Yu, Jialin, Cristea, Alexandra I. & Long, Yang (2023), Improving Health Mention Classification through Emphasising Literal Meanings: a Study Towards Diversity and Generalisation for Public Health Surveillance, TheWebConf2023. Austin, Texas, ACM.
• Yu, Jialin, Cristea, Alexandra I., Harit, Anoushka, Sun, Zhongtian, Aduragba, Olanrewaju Tahir, Shi, Lei & Al Moubayed, Noura (2022), Efficient Uncertainty Quantification for Multilabel Text Classification, 2022 International Joint Conference on Neural Networks (IJCNN). Padova, Italy, IEEE.
• Yu, Jialin, Cristea, Alexandra I., Harit, Anoushka, Sun, Zhongtian, Aduragba, Olanrewaju Tahir, Shi, Lei & Al Moubayed, Noura (2022), INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations, 2022 International Joint Conference on Neural Networks (IJCNN). Padova, Italy, IEEE.
• Sun, Zhongtian, Harit, Anoushka, Cristea, Alexandra I., Yu, Jialin, Shi, Lei & Al Moubayed, Noura (2022), Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification, 2022 International Joint Conference on Neural Networks (IJCNN). Padova, Italy, IEEE.
• Hodgson, Ryan, Wang, Jingyun Wang, Cristea, Alexandra, Matsuzaki, Fumiko & Kubota, Hiroyuki (2022), A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics, in Mitrovic, Antonija & Bosch, Nigel eds, 15th International Conference on Educational Data Mining. Durham, England, International Educational Data Mining Society, 652-656.
• Sun, Zhongtian, Harit, Anoushka, Cristea, Alexandra I., Yu, Jialin, Al Moubayed, Noura & Shi, Lei (2022), Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention, IEEE Big Data. Japan.
• Hodgson, Ryan, Wang, Jingyun, Cristea, Alexandra I. & Graham, John (2022), Hybrid Weighted Retrieval of Twitter Users for Temporally Relevant Full-Text Querying in the Media Industry, 2022 13th International Congress on Advanced Applied Informatics Winter (IIAI-AAI-Winter). Phuket, Thailand, IEEE.
• Sun, Zhongtian, Harit, Anoushka, Yu, Jialin, Cristea, Alexandra & Al Moubayed, Noura (2021), A Generative Bayesian Graph Attention Network for Semi-supervised Classification on Scarce Data, 2021 International Joint Conference on Neural Networks (IJCNN). Shenzhen, China, IEEE.
• Sun, Zhongtian, Harit, Anoushka, Yu, Jialin, Cristea, Alexandra I. & Shi, Lei (2021), A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs, in Cristea, A. I. & Troussas, C. eds, Lecture Notes in Computer Science 12677: Intelligent Tutoring Systems. Athens, Greece, Springer, Cham, 28-37.
• Alharbi, Kholood, Cristea, Alexandra I., Shi, Lei, Tymms, Peter & Brown, Chris (2021), Agent-based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students, in Cristea, Alexandra I. & Troussas, Christos eds, Lecture Notes in Computer Science 12677: Intelligent Tutoring Systems. Athens, Greece / Virtual, Springer, Cham, 211-223.
• Hodgson, Ryan, Cristea, Alexandra, Shi, Lei & Graham, John (2021), Wide-Scale Automatic Analysis of 20 Years of ITS Research, in Cristea, Alexandra I. & Troussas, Christos eds, Lecture Notes in Computer Science 12677: Intelligent Tutoring Systems. Athens, Springer International Publishing, 8-21.
• Yu, Jialin, Alrajhi, Laila, Harit, Anoushka, Sun, Zhongtian, Cristea, Alexandra I. & Shi, Lei (2021), Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums, in Cristea, Alexandra I. & Troussos, Christos eds, Lecture Notes in Computer Science 12677: Intelligent Tutoring Systems. Athens, Greece / Virtual, Springer, Cham, 78-90.
• Li, Zhaoxing, Shi, Lei, Cristea, Alexandra I. & Zhou, Yunzhan (2021), A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns, ACM Designing Interactive Systems (DIS). Virtual, Association for Computing Machinery, 1579-1590.
• Alharbi, Kholood, Cristea, Alexandra I., Shi, Lei, Tymms, Peter & Brown, Chris (2021), Agent-based Classroom Environment Simulation: the Effect of Disruptive Schoolchildren’s Behaviour versus Teacher Control over Neighbours, in Roll, Ido McNamara, Danielle Sosnovsky, Sergey Luckin, Rose & Dimitrova, Vania eds, Lecture Notes in Computer Science 12749: The 22nd International Conference on Artificial Intelligence in Education. Utrecht, Springer, Cham, 48-53.
• Pereira, Filipe Dwan, Júnior, Hermino Barbosa de Freitas Oliveira, Elaine Harada Teixeira de, Carvalho, Leandro Silva Galvão de, Oliveira, David Braga Fernandes de, Benedict, Aileen, Dorodchi, Mohsen & Cristea, Alexandra I. (2021), Automatic creating variation of CS1 assignments and exams, Anais Estendidos do I Simpósio Brasileiro de Educação em Computação (EDUCOMP Estendido 2021). Online, SBC, 21-22.
• Pereira, Filipe Dwan, Oliveira, Elaine Harada Teixeira de, Oliveira, David Braga Fernandes de, Carvalho, Leandro Silva Galvão de & Cristea, Alexandra I. (2021), Interpretable AI to Understand Early Effective and Ineffective Programming Behaviours from CS1 Learners, Anais Estendidos do I Simpósio Brasileiro de Educação em Computação (EDUCOMP Estendido 2021). Online, SBC, 16-17.
• Almuqren, Latifah & Cristea, Alexandra I. (2021), COVID-19’s Impact on the Telecommunications Companies, in Rocha, Álvaro Adeli, Hojjat Dzemyda, Gintautas, Moreira, Fernando & Correia, Ana Maria Ramalho eds, Advances in Intelligent Systems and Computing 1368: World Conference on Information Systems and Technologies. Springer, 318-327.
• Pereira, Filipe Dwan, Piris, Francisco, Cristo da Fonseca, Samuel, Cristea, Alexandra, Oliveira, Elaine H. T., Carvalho, Leandro & Fernandes, David (2021), Towards a Human-AI hybrid system for categorising programming problems, SIGCSE Technical Symposium. ACM, 94-100.
• Alsheri, Mohammed A., Alrajhi, Laila M., Alamri, Ahmed & Cristea, Alexandra I. (2021), MOOCSent: a Sentiment Predictor for Massive Open Online Courses, 29th International Conference on Information systems and Development (ISD2021). Valencia, Association for Information Systems, 13.
• Alsheri, Mohammed A., Almari, Ahmed, Cristea, Alexandra I. & Stewart, Craig D. (2021), Forum-based Prediction of Certification in Massive Open Online Courses, 29th International Conference on Information systems and Development (ISD2021). Valencia, Association for Information Systems, 9.
• Toda, Armando, Pereira, Filipe Dwan, Klock, Ana Carolina Tomé, Rodrigues, Luiz, Palomino, Paula, Oliveira, Wilk, Oliveira, Elaine Harada Teixeira, Gasparini, Isabela, Cristea, Alexandra I. & Isotani, Seiji (2020), For whom should we gamify? Insights on the users intentions and context towards gamification in education, 31: Simpósio Brasileiro de Informática na Educação (SBIE 2020). Porto Alegre, Brazil, SBC, 471-480.
• Toda, Armando, Klock, Ana Carolina Tomé, Palomino, Paula T., Rodrigues, Luiz, Oliveira, Wilk, Stewart, Craig, Cristea, Alexandra I., Gasparini, Isabela & Isotani, Seiji (2020), GamiCSM: relating education, culture and gamification - a link between worlds, 19th Brazilian Symposium on Human Factors in Computing Systems. Diamantina, Brazil, Association for Computing Machinery, 1-10.
• Aduragba, Olanrewaju Tahir, Yu, Jialin, Cristea, Alexandra I., Hardey, Mariann & Black, Sue (2020), Digital Inclusion in Nothern England: Training Women from Underrepresented Communities in Tech: A Data Analytics Case Study, 2020 15th International Conference on Computer Science & Education (ICCSE). IEEE, 162.
• Yu, Jialin, Aduragba, Olanrewaju Tahir, Sun, Zhongtian, Black, Sue, Stewart, Craig, Shi, Lei & Cristea, Alexandra (2020), Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course, 2020 15th International Conference on Computer Science & Education (ICCSE). Delft, Netherlands, IEEE, 182-187.
• Alharbi, Khulood, Alrajhi, Laila, Cristea, Alexandra I., Bittencourt, Ig Ibert, Isotani, Seiji & James, Annie (2020), Data-Driven Analysis of Engagement in Gamified Learning Environments: A Methodology for Real-Time Measurement of MOOCs, in Kumar, Vivekanandan & Troussas, Christos eds, Lecture Notes in Computer Science 12149: 16th International Conference, ITS 2020. Springer, 142-151.
• Pereira, Filipe D., Toda, Armando, Oliveira, Elaine H. T., Cristea, Alexandra I., Isotani, Seiji, Laranjeira, Dion, Almeida, Adriano & Mendonça, Jonas (2020), Can We Use Gamification to Predict Students’ Performance? A Case Study Supported by an Online Judge, Lecture Notes in Computer Science 12149: ITS 2020. Athens / Virtual, Springer, Cham, 259-269.
• Alrajhi, Laila, Alharbi, Khulood & Cristea, Alexandra I. (2020), A Multidimensional Deep Learner Model of Urgent Instructor Intervention Need in MOOC Forum Posts, in Kumar, Vivekanandan & Troussas, Christos eds, Lecture Notes in Computer Science 12149: ITS 2020: International Conference on Intelligent Tutoring Systems. Springer, 226.
• Ji, Wendi, Wang, Keqiang, Wang, Xiaoling, Chen, Tingwei & Cristea, Alexandra I. (2020), Sequential Recommender via Time-aware Attentive Memory Network, 29th Conference on Information and Knowledge Management (CIKM). Virtual Event, Association for Computing Machinery (ACM), New York, 565-574.
• Fonseca, Samuel C. Pereira, Filipe Dwan, Oliveira, Elaine H. T., Oliveira, David B. F., Carvalho, Leandro S. G. & Cristea, Alexandra I. (2020), Automatic Subject-based Contextualisation of Programming Assignment Lists, in Rafferty, Anna N., Whitehill, Jacob, Romero, Cristobal & Cavalli-Sforza, Violetta eds, Educational Data Mining 2020 (EDM). Virtual, EDM, 81-91.
• Toda, Armando, Oliveira, Wilk, Klock, Ana, Shi, Lei, Bittencourt, Ig Ibert, Gasparini, Isabela, Isotani, Seiji, Cristea, Alexandra I. & Palomino, Paula (2019), A Taxonomy of Game Elements for Gamification in Educational Contexts: Proposal and Evaluation, 2161: International Conference on Advanced Learning Technologies and Technology-enhanced Learning. Maceió, Brazil, IEEE, 84-88.
• Pereira, Filipe Dwan, Oliveira, Elaine H. T., Fernandes, David & Cristea, Alexandra (2019), Early Performance Prediction for CS1 Course Students using a Combination of Machine Learning and an Evolutionary Algorithm, 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT). Maceio, IEEE.
• Toledo Palomino, Paula, Toda, Armando M, Oliveira, Wilk, Cristea, Alexandra I. & Isotani, Seiji (2019), Narrative for Gamification in Education: Why Should you Care?, 2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT). Maceio, Brazil, IEEE.
• Aljohani, Tahani & Cristea, Alexandra I. (2019), Predicting Learners' Demographics Characteristics: Deep Learning Ensemble Architecture for Learners' Characteristics Prediction in MOOCs, ICIEI 2019: 2019 The 4th International Conference on Information and Education Innovations. ACM, 23-27.
• Tsakalidis, Adam Liakata, Maria Damoulas, Theo & Cristea, Alexandra I. (2019), Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation, in Brefeld, Ulf, Curry, Edward, Daly, Elizabeth, MacNamee, Brian, Marascu, Alice, Pinelli, Fabio, Berlingerio, Michele & Hurley, Neil eds, Lecture Notes in Computer Science 11053: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2018 Applied Data Science Track). Dublin, Springer, Cham, 407-423.
• Pereira, Filipe D., Oliveira, Elaine, Cristea, Alexandra, Fernandes, David, Silva, Luciano, Aguiar, Gene, Alamri, Ahmed & Alshehri, Mohammad (2019), Early Dropout Prediction for Programming Courses Supported by Online Judges, in Isotani, Seiji, Millán, Eva, Ogan, Amy, Hastings, Peter, McLaren, Bruce & Luckin, Rose eds, Lecture Notes in Computer Science 11626: AIED 2019. Chicago, IL, Springer.
• Palomino, Paula, Toda, Armando, Oliveira, Wilk, Rodrigues, Luiz, Cristea, Alexandra I. & Isotani, Seiji (2019), Exploring content game elements to support gamification design in educational systems: narrative and storytelling, Anais do XXX Simpósio Brasileiro de Informática na Educação (SBIE 2019). 773-782.
• Aduragba, Olanrewaju T. & Cristea, Alexandra I. (2019), Research on Prediction of Infectious Diseases, their spread via Social Media and their link to Education, 4th International Conference on Information and Education Innovations - ICIEI 2019. Durham, Association for Computing Machinery, New York, 38-42.
• Pereira, Filipe D. Oliveira, Elaine, Cristea, Alexandra I. Fernandes, David, Silva, Luciano, Aguiar, Gene, Alamri, Ahmed & Alshehri, Mohammad (2019), Early Dropout Prediction for Programming Courses supported by Online Judges, in Isotani, Seiji, Millán, Eva, Ogan, Amy, Hastings, Peter, McLaren, Bruce & Luckin, Rose eds, Artificial Intelligence in Education AIED 2019. Chicago, IL, Springer.
• Toda, Armando, Oliveira, Wilk, Shi, Lei, Bittencourt, Ig Ibert, Isotani, Seiji & Cristea, Alexandra I. (2019), Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study, in Desmarais, Michel, Lynch, Collin F., Merceron,Agathe & Nkambou, Roger eds, International Conference on Educational Data Mining. Montréal, Canada, Educational Data Mining 2019, Montréal, Canada, 438-443.
• Cristea, A., Alamri, Ahmed, Kayama, Mizue, Stewart, Craig, Alsheri, Mohammed & Shi, Lei (2018), Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses, in Andersson, B., Johansson, B., Carlsson, S., Barry, C., Lang, M., Linger, H. & Schneider, C. eds, 27th International Conference on Information Systems Development (ISD2018). Lund, Sweden, Association for Information Systems, 5.
• Cristea, A. I., Alshehri, M., Alamri, A., Kayama, M., Stewart, C. & Shi, L (2018), How is learning fluctuating? FutureLearn MOOCs fine-grained temporal Analysis and Feedback to Teachers, in Andersson, B., Johansson, B., Carlsson, S., Barry, C., Lang, M., Linger, H. & Schneider, C. eds, 27th International Conference on Information Systems Development (ISD2018). Lund, Association for Information Systems, 6.
• Shi, L. & Cristea, A. I. (2018), Demographic Indicators Influencing Learning Activities in MOOCs: Learning Analytics of FutureLearn Courses, in Andersson, B. Johansson, B. Carlsson, S. Barry, C. Lang, M. Linger, H. & Schneider, C. eds, 27th International Conference on Information Systems Development (ISD2018). Lund, Association for Information Systems, 4.
• Lei, S. & Cristea, A. I. (2018), In-depth Exploration of Engagement Patterns in MOOCs, in Hacid, Hakim, Cellary, Wojciech, Wang, Hua, Paik, Hye-Young & Zhou, Rui eds, Lecture Notes in Computer Science, volume 11234 Web Information Systems Engineering (WISE 2018). Dubai, Springer, Cham, 395-409.
• Tsakalidis, Adam, Aletras, Nikolaos, Cristea, A.I. & Liakata, Maria (2018), Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum, 2018 ACM Conference on Information and Knowledge Management (CIKM’18). Torino, ACM, 367-376.
• Cristea, Alexandra I., Alamri, Ahmed, Kayama, Mizue, Stewart, Craig, Alshehri, Mohammad & Shi, Lei (2018), Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn Courses, in Andersson, B., Johansson, B., Carlsson, S., Barry, C., Lang, M., Linger, H. & Schneider, C. eds, 27th International Conference on Information Systems Development (ISD2018). Lund, Sweden, Association for Information Systems.
• Cristea, Alexandra I., Alamri, Ahmed, Kayama, Mizue, Stewart, Craig, Alshehri, Mohammad & Shi, Lei (2018), How is Learning Fluctuating? FutureLearn MOOCs Fine-grained Temporal Analysis and Feedback to Teachers and Designers, in Andersson, B., Johansson, B., Carlsson, S., Barry, C., Lang, M., Linger, H. & Schneider, C. eds, 27th International Conference on Information Systems Development (ISD2018). Lund, Sweden, Association for Information Systems.
• Khan, J., Cristea, A. I. & Alamri, A. (2018), A large-scale category-based evaluation of a visual language for adaptive hypermedia, ACM International Conference Proceeding Series (ICPS) 3rd International Conference on Information and Education Innovations (ICIEI'18). London, Association for Computing Machinery, New York, NY, USA, 94-98.
• Alshehri,Mohammad, Foss,Jonathan, Cristea,Alexandra I., Kayama,Mizue, Shi,Lei, Alamri,Ahmed & Tsakalidis,Adam (2018), On the need for fine-grained analysis of Gender versus Commenting Behaviour in MOOCs, ACM International Conference Proceedings Series (ICPS) 3rd International Conference on Information and Education Innovations (ICIEI'18). London, Association for Computing Machinery, New York, NY, USA, 73-77.
• Alamri, A., Rusby, H., Cristea, Alexandra I., Khan, J., Shi, Lei & Stewart, C. (2018), An intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System, ACM International Conference Proceeding Series (ICPS) 3rd International Conference on Information and Education Innovations (ICIEI'18). London, Association for Computing Machinery, New York, NY, USA, 57-61.
• Zhou, Yiwei, Cristea, Alexandra I. & Shi, Lei (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. Puschino, Russia, Springer International Publishing, Cham, 18-32.
• Alessandrini, Andrea, Cristea, Alexandra, Hartikainen, Markus, Isomäki, Hannakaisa & Tuhkala, Ari (2017), Identifying Objectives for a Learning Space Management System with Value-focused Thinking, in Escudeiro, Paula Costagliola, Gennaro Zvacek, Susan Uhomoibhi, James & McLaren, Bruce M. eds, 1: Proceedings of the 9th International Conference on Computer Supported Education. Porto, Portugal, SciTePress, 25-34.
• 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.
• 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.
• Cristea, A. I. & Shi, Lei (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 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.
• 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.
• Townsend, Richard Tsakalidis, Adam Zhou, Yiwei Wang, Bo Liakata, M. Zubiaga, Arkaitz Cristea, A. I. & Procter, Rob (2015), WarwickDCS from phrase-based to target-specific sentiment recognition, 9th International Workshop on Semantic Evaluation (SemEval 2015). Denver, Association for Computational Linguistics, 657-663.
• Shi, Lei, Cristea, A. I., Awan, M. S. K., Stewart, Craig & Hendrix, Maurice (2013), Towards understanding learning behavior patterns in social adaptive personalized e-learning systems, 5: 19th Americas Conference on Information Systems. Chicago, Association for Information Systems, 1-10.
• 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.

Journal Article

• Cristea, Alexandra I. Alamri, Ahmed Alshehri, Mohammed Dwan Pereira, Filipe, Toda, Armando M. Harada T. de Oliveira, Elaine & Stewart, Craig (Accepted). The Engage Taxonomy: SDT-based measurable Engage-ment Indicators for MOOCs and their Evaluation. User Modeling and User-Adapted Interaction
• Yu, Jialin, Cristea, Alexandra I., Harit, Anoushka, Sun, Zhongtian, Aduragba, Olanrewaju Tahir, Shi, Lei & Al Moubayed, Noura (2023). Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. AI Open
• Pereira, Filipe Dwan, Fonseca, Samuel C., Wiktor, Sandra, Oliveira, David B. F., Cristea, Alexandra I., Benedict, Aileen, Fallahian, Mohammadali, Dorodchi, Mohsen, Carvalho, Leandro S. G., Mello, Rafael Ferreira & Oliveira, Elaine H. T. (2023). Toward Supporting CS1 Instructors and Learners With Fine-Grained Topic Detection in Online Judges. IEEE Access 11: 22513.
• Rodrigues, Luiz, Palomino, Paula T., Toda, Armando M., Klock, Ana C. T., Pessoa, Marcela, Pereira, Filipe D., Oliveira, Elaine H. T., Oliveira, David F., Cristea, Alexandra I., Gasparini, Isabela & Isotani, Seiji (2023). How Personalization Affects Motivation in Gamified Review Assessments. International Journal of Artificial Intelligence in Education
• Almeqren, Monira Abdulrahman, Almegren, Monerah, Alhayan, Fatemah, Cristea, Alexandra I. & Pennington, Diane R. (2023). Using Deep Learning to Analyze the Psychological Effects of COVID-19. Frontiers in Psychology 14.
• Almuqren, Latifah & Cristea, Alexandra I. (2023). Predicting STC Customers' Satisfaction Using Twitter. IEEE Transactions on Computational Social Systems 10(1): 204 - 210.
• Rodrigues, Luiz, Pereira, Filipe D., Toda, Armando M., Palomino, Paula T., Pessoa, Marcela, Carvalho, Leandro Silva Galvão, Fernandes, David, Oliveira, Elaine H. T., Cristea, Alexandra I. & Isotani, Seiji (2022). Gamification suffers from the novelty effect but benefits from the familiarization effect: Findings from a longitudinal study. International Journal of Educational Technology in Higher Education 19(1).
• Pereira, Filipe Dwan, Fonseca, Samuel C., Oliveira, Elaine H. T., Cristea, Alexandra I., Bellhauser, Henrik, Rodrigues, Luiz, Oliveira, David B. F., Isotani, Seiji & Carvalho, Leandro S. G. (2021). Explaining Individual and Collective Programming Students’ Behavior by Interpreting a Black-Box Predictive Model. IEEE Access 9: 117097-117119.
• Aljohani, Tahani & Cristea, Alexandra I. (2021). Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations. Frontiers in Research Metrics and Analytics 6: 673928.
• Almuqren, Latifah, Alrayes, Fatma S. & Cristea, Alexandra I. (2021). An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach. Future Internet 13(7): 175.
• Almuqren, Latifah & Cristea, Alexandra (2021). AraCust: a Saudi Telecom Tweets corpus for sentiment analysis. PeerJ Computer Science 7: e510.
• Alshehri, Mohammad, Alamri, Ahmed, Cristea, Alexandra I. & Stewart, Craig D. (2021). Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs. International Journal of Artificial Intelligence in Education 31(2): 215-233.
• Pereira, Filipe Dwan, Fonseca, Samuel C., Oliveira, Elaine H. T., Oliveira, David B. F., Cristea, Alexandra I. & Carvalho, Leandro S. G. (2020). Deep learning for early performance prediction of introductory programming students: a comparative and explanatory study. Brazilian Journal of Computers in Education 28: 723-749.
• Al Qudah, Dana A., Al-Shboul, Bashar, Al-Zoubi, Ala’, Al-Sayyed, Rizik & Cristea, Alexandra I. (2020). Investigating users’ experience on social media ads: perceptions of young users. Heliyon 6(7): e04378.
• Pereira, Filipe Dwan, Oliveira, Elaine H. T., Oliveira, David, Cristea, Alexandra I., Carvalho, Leandro S. G., Fonseca, Samuel, Toda, Armando & Isotani, Seiji (2020). Using learning analytics in the Amazonas: understanding students’ behaviour in introductory programming. British Journal of Educational Technology 51(4): 955-972.
• Toda, Armando M., Klock, Ana C. T., Oliveira, Wilk, Palomino, Paula T., Rodrigues, Luiz, Shi, Lei, Bittencourt, Ig, Gasparini, Isabela, Isotani, Seiji & Cristea, Alexandra I. (2019). Analysing Gamification Elements in Educational Environments Using an Existing Gamification Taxonomy. Smart Learning Environments 6(1).
• Toda, Armando M., Palomino, Paula T., Oliveira, Wilk, Rodrigues, Luiz, Klock, Ana C. T., Gasparini, Isabela, Cristea, Alexandra I. & Isotani, Seiji (2019). How to Gamify learning Systems? An Experience Report using the Design Sprint Method and a Taxonomy for Gamification Elements in Education. Journal of Educational Technology and Society 22(3): 47-60.
• Qaffas, Alaa A., Cristea, A.I. & Mead, Mohamed A. (2018). Lightweight adaptive E-Advertising Model. Journal of Universal Computer Science 24(7): 935-974.
• 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 52(4): 1021-1044.
• Gkiokas, Alexandros & Cristea, A. I. (2018). Cognitive agents and machine learning by example representation with conceptual graphs. Computational Intelligence 34(2): 603-634.
• Hadzidedic Bazdarevic, S. & 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, Alexandra I. (2016). Learners Thrive When Using Multifaceted Open Social Learner Models. IEEE MultiMedia 23(1): 36-47.
• Hadzidedic Bazdarevic, S. & Cristea, A.I. (2015). How emotions stimulate people affected by cancer to use personalised health websites. Knowledge Management & E-learning: An International Journal 7(4): 658-676.
• 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.
• 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.
• 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.
• 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