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ORCIDAlexandra I. Cristea
Alexandra Ioana Cristea
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- affiliation: Durham University, UK
- affiliation (former): University of Warwick, UK
- affiliation (former): Eindhoven University of Technology, Netherlands
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2020 – today
- 2023
[i19]Suncica Hadzidedic, Alexandra I. Cristea, Derrick G. Watson:
Effect of emotions and personalisation on cancer website reuse intentions. CoRR abs/2301.00886 (2023)- [i18]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
- [j39]Luiz A. L. Rodrigues
, Filipe D. Pereira, Armando M. Toda, Paula T. Palomino, Wilk Oliveira, Marcela Pessoa, Leandro S. G. Carvalho, David B. F. Oliveira, Elaine Harada T. de Oliveira, Alexandra I. Cristea, Seiji Isotani:
Are They Learning or Playing? Moderator Conditions of Gamification's Success in Programming Classrooms. ACM Trans. Comput. Educ. 22(3): 30:1-30:27 (2022) - [c157]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 - [c156]Armando M. Toda, Paula T. Palomino, Luiz A. L. Rodrigues, Ana C. T. Klock, Filipe D. Pereira, Simone de Sousa Borges, Isabela Gasparini, Elaine H. Teixeira, Seiji Isotani, Alexandra I. Cristea:
Gamification Through the Looking Glass - Perceived Biases and Ethical Concerns of Brazilian Teachers. AIED (2) 2022: 259-262 - [c155]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 - [c154]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 - [c153]Elad Yacobson, Armando M. Toda, Alexandra I. Cristea, Giora Alexandron:
Assisting Teachers in Finding Online Learning Resources: The Value of Social Recommendations. AIED (2) 2022: 391-395 - [c152]Tahani Aljohani, Alexandra I. Cristea, Laila Alrajhi:
Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCs. AIED (2) 2022: 396-399 - [c151]Laila Alrajhi, Filipe Dwan Pereira, Alexandra I. Cristea, Tahani Aljohani:
A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs. AIED (2) 2022: 424-427 - [c150]Adam T. Wynn, Jingyun Wang, Kaoru Umezawa, Alexandra I. Cristea:
An AI-Based Feedback Visualisation System for Speech Training. AIED (2) 2022: 510-514 - [c149]Mohammad Alshehri, Alexandra I. Cristea:
MOOCs Paid Certification Prediction Using Students Discussion Forums. AIED (2) 2022: 542-545 - [c148]Luiz A. L. Rodrigues, Armando M. Toda, Filipe D. Pereira, Paula T. Palomino, Ana C. T. Klock, Marcela Pessoa, David B. F. Oliveira, Isabela Gasparini, Elaine H. T. Oliveira, Alexandra I. Cristea, Seiji Isotani:
GARFIELD: A Recommender System to Personalize Gamified Learning. AIED (1) 2022: 666-672 - [c147]Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea:
Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs. AIED (1) 2022: 717-723 - [c146]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 - [c145]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 - [c144]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 - [c143]Laila Alrajhi, Ahmed Alamri, Alexandra I. Cristea:
Intervention Prediction in MOOCs Based on Learners' Comments: A Temporal Multi-input Approach Using Deep Learning and Transformer Models. ITS 2022: 227-237 - [c142]Jingyun Wang, Ryan Hodgson, Alexandra I. Cristea:
MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning. ITS 2022: 313-322 - [e7]Maria Mercedes T. Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova:
Artificial Intelligence in Education - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13355, Springer 2022, ISBN 978-3-031-11643-8 [contents] - [e6]Maria Mercedes T. Rodrigo, Noburu Matsuda, Alexandra I. Cristea, Vania Dimitrova:
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium - 23rd International Conference, AIED 2022, Durham, UK, July 27-31, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13356, Springer 2022, ISBN 978-3-031-11646-9 [contents] - [i17]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) - [i16]Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea:
Incorporating Emotions into Health Mention Classification Task on Social Media. CoRR abs/2212.05039 (2022) - [i15]Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea:
Multi-task Learning for Personal Health Mention Detection on Social Media. CoRR abs/2212.05147 (2022) - [i14]Olanrewaju Tahir Aduragba, Alexandra I. Cristea, Pete Phillips, Jonas Kurlberg, Jialin Yu:
Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic. CoRR abs/2212.11121 (2022) - 2021
- [j38]Filipe Dwan Pereira, Samuel C. Fonseca, Elaine H. T. Oliveira, Alexandra I. Cristea, Henrik Bellhäuser, Luiz A. L. Rodrigues, David B. F. Oliveira, Seiji Isotani, Leandro S. G. Carvalho:
Explaining Individual and Collective Programming Students' Behavior by Interpreting a Black-Box Predictive Model. IEEE Access 9: 117097-117119 (2021) - [j37]Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea, Craig D. Stewart:
Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs. Int. J. Artif. Intell. Educ. 31(2): 215-233 (2021) - [j36]Latifah Almuqren, Fatma S. Alrayes, Alexandra I. Cristea:
An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach. Future Internet 13(7): 175 (2021) - [j35]Tahani Aljohani, Alexandra I. Cristea:
Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations. Frontiers Res. Metrics Anal. 6: 673928 (2021) - [j34]Latifah Almuqren, Alexandra I. Cristea:
AraCust: a Saudi Telecom Tweets corpus for sentiment analysis. PeerJ Comput. Sci. 7: e510 (2021) - [c141]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 - [c140]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 - [c139]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 - [c138]Zhongtian Sun, Anoushka Harit, Jialin Yu, Alexandra I. Cristea, Noura Al Moubayed:
A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data. IJCNN 2021: 1-7 - [c137]Mohammed A. Alsheri, Laila M. Alrajhi, Ahmed Alamri, Alexandra I. Cristea:
MOOCSent: a Sentiment Predictor for Massive Open Online Courses. ISD 2021 - [c136]Mohammed A. Alsheri, Ahmed Alamri, Alexandra I. Cristea, Craig D. Stewart:
Forum-based Prediction of Certification in Massive Open Online Courses. ISD 2021 - [c135]Ryan Hodgson, Alexandra I. Cristea, Lei Shi, John Graham:
Wide-Scale Automatic Analysis of 20 Years of ITS Research. ITS 2021: 8-21 - [c134]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 - [c133]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 - [c132]Ahmed Alamri, Zhongtian Sun, Alexandra I. Cristea, Craig D. Stewart, Filipe Dwan Pereira:
MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns. ITS 2021: 119-130 - [c131]Tahani Aljohani, Alexandra I. Cristea:
Training Temporal and NLP Features via Extremely Randomised Trees for Educational Level Classification. ITS 2021: 136-147 - [c130]Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea:
Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC. ITS 2021: 148-160 - [c129]Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea:
Predicting Certification in MOOCs Based on Students' Weekly Activities. ITS 2021: 173-185 - [c128]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 - [c127]Elad Yacobson, Armando M. Toda, Alexandra I. Cristea, Giora Alexandron:
Encouraging Teacher-Sourcing of Social Recommendations Through Participatory Gamification Design. ITS 2021: 418-429 - [c126]Filipe D. Pereira, Hermino B. F. Junior, Luiz Rodriguez, Armando M. Toda, Elaine H. T. Oliveira, Alexandra I. Cristea, David B. F. Oliveira, Leandro S. G. Carvalho, Samuel C. Fonseca, Ahmed Alamri, Seiji Isotani:
A Recommender System Based on Effort: Towards Minimising Negative Affects and Maximising Achievement in CS1 Learning. ITS 2021: 466-480 - [c125]Filipe Dwan Pereira, Francisco Pires, Samuel C. Fonseca, Elaine H. T. Oliveira, Leandro S. G. Carvalho, David B. F. Oliveira, Alexandra I. Cristea:
Towards a Human-AI Hybrid System for Categorising Programming Problems. SIGCSE 2021: 94-100 - [c124]Latifah Almuqren, Alexandra I. Cristea:
COVID-19's Impact on the Telecommunications Companies. WorldCIST (4) 2021: 318-327 - [e5]Alexandra I. Cristea, Christos Troussas:
Intelligent Tutoring Systems - 17th International Conference, ITS 2021, Virtual Event, June 7-11, 2021, Proceedings. Lecture Notes in Computer Science 12677, Springer 2021, ISBN 978-3-030-80420-6 [contents] - [i13]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
- [j33]Filipe D. Pereira, Elaine H. T. Oliveira, David B. F. Oliveira, Alexandra I. Cristea, Leandro S. G. Carvalho, Samuel C. Fonseca, Armando Maciel Toda, Seiji Isotani:
Using learning analytics in the Amazonas: understanding students' behaviour in introductory programming. Br. J. Educ. Technol. 51(4): 955-972 (2020) - [c123]Wendi Ji, Keqiang Wang, Xiaoling Wang, Tingwei Chen, Alexandra I. Cristea:
Sequential Recommender via Time-aware Attentive Memory Network. CIKM 2020: 565-574 - [c122]Samuel C. Fonseca, Filipe Dwan Pereira, Elaine H. T. Oliveira, David Fernandes, Leandro S. G. Carvalho, Alexandra I. Cristea:
Automatic Subject-based Contextualisation of Programming Assignment Lists. EDM 2020 - [c121]Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Mariann Hardey, Sue Black:
Digital Inclusion in Nothern England: Training Women from Underrepresented Communities in Tech: A Data Analytics Case Study. ICCSE 2020: 162-168 - [c120]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 - [c119]Armando M. Toda, Ana Carolina Tomé Klock, Paula T. Palomino, Luiz A. L. Rodrigues, Wilk Oliveira, Craig D. Stewart, Alexandra I. Cristea, Isabela Gasparini, Seiji Isotani:
GamiCSM: relating education, culture and gamification - a link between worlds. IHC 2020: 18:1-18:10 - [c118]Lei Shi, Alexandra I. Cristea, Armando Maciel Toda, Wilk Oliveira:
Exploring Navigation Styles in a FutureLearn MOOC. ITS 2020: 45-55 - [c117]Khulood Alharbi, Laila Alrajhi, Alexandra I. Cristea, Ig Ibert Bittencourt, Seiji Isotani, Annie James:
Data-Driven Analysis of Engagement in Gamified Learning Environments: A Methodology for Real-Time Measurement of MOOCs. ITS 2020: 142-151 - [c116]Tahani Aljohani, Filipe Dwan Pereira, Alexandra I. Cristea, Elaine H. T. Oliveira:
Prediction of Users' Professional Profile in MOOCs Only by Utilising Learners' Written Texts. ITS 2020: 163-173 - [c115]Laila Alrajhi, Khulood Alharbi, Alexandra I. Cristea:
A Multidimensional Deep Learner Model of Urgent Instructor Intervention Need in MOOC Forum Posts. ITS 2020: 226-236 - [c114]Filipe D. Pereira, Armando Maciel Toda, Elaine H. T. Oliveira, Alexandra I. Cristea, Seiji Isotani, Dion Laranjeira, Adriano Almeida, Jonas Mendonça:
Can We Use Gamification to Predict Students' Performance? A Case Study Supported by an Online Judge. ITS 2020: 259-269 - [c113]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 - [i12]Wendi Ji, Keqiang Wang, Xiaoling Wang, Tingwei Chen, Alexandra I. Cristea:
Hybrid Sequential Recommender via Time-aware Attentive Memory Network. CoRR abs/2005.08598 (2020) - [i11]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) - [i10]Lei Shi, Alexandra I. Cristea, Armando Maciel Toda, Wilk Oliveira:
Exploring Navigation Styles in a FutureLearn MOOC. CoRR abs/2008.04373 (2020) - [i9]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) - [i8]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) - [i7]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) - [i6]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) - [i5]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) - [i4]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)
2010 – 2019
- 2019
- [j32]Armando M. Toda, Paula T. Palomino, Wilk Oliveira, Luiz A. L. Rodrigues, Ana C. T. Klock, Isabela Gasparini, Alexandra I. Cristea, Seiji Isotani:
How to Gamify Learning Systems? An Experience Report using the Design Sprint Method and a Taxonomy for Gamification Elements in Education. J. Educ. Technol. Soc. 22(3): 47-60 (2019) - [j31]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) - [c112]Filipe D. Pereira, Elaine H. T. Oliveira, Alexandra I. Cristea, David Fernandes, Luciano Silva, Gene Aguiar, Ahmed Alamri, Mohammad Alshehri:
Early Dropout Prediction for Programming Courses Supported by Online Judges. AIED (2) 2019: 67-72 - [c111]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 - [c110]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 - [c109]Paula Toledo Palomino, Armando Maciel Toda, Wilk Oliveira, Alexandra I. Cristea, Seiji Isotani:
Narrative for Gamification in Education: Why Should you Care? ICALT 2019: 97-99 - [c108]Filipe D. Pereira, Elaine H. T. Oliveira, David Fernandes, Alexandra I. Cristea:
Early Performance Prediction for CS1 Course Students using a Combination of Machine Learning and an Evolutionary Algorithm. ICALT 2019: 183-184 - [c107]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 - [c106]Latifah AbdulRahman Almuqren, Monzer Moh'd Qasem, Alexandra I. Cristea:
Using Deep Learning Networks to Predict Telecom Company Customer Satisfaction Based on Arabic Tweets. ISD 2019 - [c105]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 - [c104]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 - [e4]Steven Bradley, Alexandra I. Cristea:
Proceedings of the 3rd Conference on Computing Education Practice, CEP 2019, Durham, United Kingdom, January 09-09, 2019. ACM 2019, ISBN 978-1-4503-6631-1 [contents] - [i3]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) - 2018
- [j30]Alexandros Gkiokas, Alexandra I. Cristea:
Cognitive agents and machine learning by example: Representation with conceptual graphs. Comput. Intell. 34(2): 603-634 (2018) - [j29]Alaa A. Qaffas, Alexandra I. Cristea, Mohamed A. Mead:
Lightweight Adaptive E-Advertising Model. J. Univers. Comput. Sci. 24(7): 935-974 (2018) - [j28]Adam Tsakalidis, Symeon Papadopoulos, Rania Voskaki, Kyriaki Ioannidou, Christina Boididou, Alexandra I. Cristea, Maria Liakata, Yiannis Kompatsiaris:
Building and evaluating resources for sentiment analysis in the Greek language. Lang. Resour. Evaluation 52(4): 1021-1044 (2018) - [c103]Adam Tsakalidis, Nikolaos Aletras, Alexandra I. Cristea, Maria Liakata:
Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum. CIKM 2018: 367-376 - [c102]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 - [c101]Lei Shi, Alexandra I. Cristea:
Demographic Indicators Influencing Learning Activities in MOOCs: Learning Analytics of FutureLearn Courses. ISD 2018 - [c100]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 - [c99]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 - [c98]Adam Tsakalidis, Maria Liakata, Theo Damoulas, Alexandra I. Cristea:
Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation. ECML/PKDD (3) 2018: 407-423 - [c97]Lei Shi, Alexandra I. Cristea:
In-depth Exploration of Engagement Patterns in MOOCs. WISE (2) 2018: 395-409 - [e3]Alexandra Ioana Cristea, Ig Ibert Bittencourt, Fernanda Lima:
Higher Education for All. From Challenges to Novel Technology-Enhanced Solutions - First International Workshop on Social, Semantic, Adaptive and Gamification Techniques and Technologies for Distance Learning, HEFA 2017, Maceió, Brazil, March 20-24, 2017, Revised Selected Papers. Communications in Computer and Information Science 832, Springer 2018, ISBN 978-3-319-97933-5 [contents] - [i2]Adam Tsakalidis, Maria Liakata, Theodoros Damoulas, Alexandra I. Cristea:
Can We Assess Mental Health through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation. CoRR abs/1807.07351 (2018) - [i1]Adam Tsakalidis, Nikolaos Aletras, Alexandra I. Cristea, Maria Liakata:
Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum. CoRR abs/1808.08538 (2018) - 2017
- [j27]Andrea Alessandrini, Alexandra I. Cristea, Hannakaisa Isomäki:
IJCCI IS Editorial 2016. Int. J. Child Comput. Interact. 11: 1-2 (2017) - [j26]Suncica Hadzidedic Bazdarevic, Alexandra Ioana Cristea:
Do personalisation and emotions affect the use of cancer-related websites? Online Inf. Rev. 41(1): 102-118 (2017) - [j25]Yiwei Zhou, Elena Demidova, Alexandra I. Cristea:
What's New? Analysing Language-Specific Wikipedia Entity Contexts to Support Entity-Centric News Retrieval. Trans. Comput. Collect. Intell. 26: 210-231 (2017) - [c96]Ari Tuhkala, Hannakaisa Isomäki, Markus Hartikainen, Alexandra I. Cristea, Andrea Alessandrini:
Identifying Objectives for a Learning Space Management System with Value-focused Thinking. CSEDU (1) 2017: 25-34 - [c95]Latifah Almuqren, Arwa Alzammam, Shahad Alotaibi, Alexandra I. Cristea, Sarah Alhumoud:
A Review on Corpus Annotation for Arabic Sentiment Analysis. HCI (13) 2017: 215-225 - [c94]Alexandra I. Cristea:
Immersion in e-Learning. HT (Extended Proceedings) 2017 - [c93]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
- [j24]Lei Shi, Alexandra I. Cristea:
Learners Thrive Using Multifaceted Open Social Learner Modeling. IEEE Multim. 23(1): 36-47 (2016) - [c92]Adam Tsakalidis, Maria Liakata, Theodoros Damoulas, Brigitte Jellinek, Weisi Guo, Alexandra I. Cristea:
Combining Heterogeneous User Generated Data to Sense Well-being. COLING 2016: 3007-3018 - [c91]Yiwei Zhou, Nattiya Kanhabua, Alexandra I. Cristea:
Real-Time Timeline Summarisation for High-Impact Events in Twitter. ECAI 2016: 1158-1166 - [c90]Latifah Almuqren, Alexandra I. Cristea:
Framework for Sentiment Analysis of Arabic Text. HT 2016: 315-317 - [c89]Latifah Almuqren, Alexandra I. Cristea:
Twitter Analysis to Predict the Satisfaction of Telecom Company Customers. HT (Extended Proceedings) 2016 - [c88]Alaa A. Qaffas, Alexandra I. Cristea:
An Adaptive e-Advertising Delivery Model: The AEADS Approach. ICE-B 2016: 124-131 - [c87]Lei Shi, Alexandra I. Cristea:
Motivational Gamification Strategies Rooted in Self-Determination Theory for Social Adaptive E-Learning. ITS 2016: 294-300 - [c86]Yiwei Zhou, Elena Demidova, Alexandra I. Cristea:
Who likes me more?: analysing entity-centric language-specific bias in multilingual Wikipedia. SAC 2016: 750-757 - [c85]Yiwei Zhou, Alexandra I. Cristea:
Towards detection of influential sentences affecting reputation in wikipedia. WebSci 2016: 244-248 - 2015
- [j23]Adam Tsakalidis, Symeon Papadopoulos, Alexandra I. Cristea, Yiannis Kompatsiaris:
Predicting Elections for Multiple Countries Using Twitter and Polls. IEEE Intell. Syst. 30(2): 10-17 (2015) - [c84]