Alexandra I. Cristea

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 149

Top Venues

Publications

Haoqian Chang, Ziqi Pan, Alexandra I. Cristea
Virtual Reality (VR) in Safety Education: A Case Study of Mining Engineering. AIED Companion (2) (2024)
Latifah Almuqren, Ryan Hodgson, Alexandra I. Cristea
Arabic Text Sentiment Analysis: Reinforcing Human-Performed Surveys with Wider Topic Analysis. CoRR (2024)
Ryan Hodgson, Jingyun Wang, Alexandra I. Cristea, John Graham
Partially-Supervised Metric Learning via Dimensionality Reduction of Text Embeddings Using Transformer Encoders and Attention Mechanisms. IEEE Access 12 (2024)
Mohammad Alshehri, Fahd Alfarsi, Ahmed Alamri, Laila Alrajhi, Saman Rizvi, Filipe Dwan Pereira, Seiji Isotani, Alexandra I. Cristea
MOOCRev: A Large-Scale Data Repository for Course Reviews. AIED Companion (2) (2024)
Luiz A. L. Rodrigues, Paula T. Palomino, Armando M. Toda, Ana C. T. Klock, Marcela Pessoa, Filipe D. Pereira, Elaine H. T. Oliveira, David Braga Fernandes de Oliveira, Alexandra I. Cristea, Isabela Gasparini, Seiji Isotani
How Personalization Affects Motivation in Gamified Review Assessments. Int. J. Artif. Intell. Educ. 34 (2) (2024)
Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea, Elaine H. T. Oliveira
Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums. User Model. User Adapt. Interact. 34 (3) (2024)
Khulood Alharbi, Alexandra I. Cristea
Hybrid Agent-Based Machine Learning Simulation Of A Classroom Disruption Model. ECMS (2024)
Nuha Alghamdi, Alexandra I. Cristea
Natural Language Processing for a Personalised Educational Experience in Virtual Reality. AIED Companion (2) (2024)
Ziqi Pan, Alexandra I. Cristea
Towards Neuro-Enhanced Education: A Systematic Review of BCI-Assisted Development for Non-academic Skills and Abilities. ITS (2) (2024)
Arwa Al Saqaabi, Craig D. Stewart, Eleni C. Akrida, Alexandra I. Cristea
Paraphrase Generation and Identification at Paragraph-Level. ITS (2) (2024)
Elad Yacobson, Armando M. Toda, Alexandra I. Cristea, Giora Alexandron
Recommender systems for teachers: The relation between social ties and the effectiveness of socially-based features. Comput. Educ. 210 (2024)
Ziqi Pan, Alexandra I. Cristea, Frederick W. B. Li
Reducing University Students' Exam Anxiety via Mindfulness-Based Cognitive Therapy in VR with Real-Time EEG Neurofeedback. AIED Companion (2) (2024)
Alexandra I. Cristea, Ahmed Alamri, Mohammad Alshehri, Filipe Dwan Pereira, Armando M. Toda, Elaine Harada T. de Oliveira, Craig D. Stewart
The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation. User Model. User Adapt. Interact. 34 (2) (2024)
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 (2023)
Laila Alrajhi, Alexandra I. Cristea
Plug & Play with Deep Neural Networks: Classifying Posts that Need Urgent Intervention in MOOCs. ITS (2023)
Filipe Dwan Pereira, Luiz A. L. Rodrigues, Marcelo Henrique Oliveira Henklain, Hermino B. F. Junior, David B. F. Oliveira, Alexandra I. Cristea, Leandro Carvalho, Seiji Isotani, Aileen Benedict, Mohsen Dorodchi, Elaine Harada Teixeira de Oliveira
Toward Human-AI Collaboration: A Recommender System to Support CS1 Instructors to Select Problems for Assignments and Exams. IEEE Trans. Learn. Technol. 16 (3) (2023)
Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea
Incorporating Emotions into Health Mention Classification Task on Social Media. BigData (2023)
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)
Laila Alrajhi, Filipe Dwan Pereira, Alexandra I. Cristea, Ahmed Alamri
Serendipitous Gains of Explaining a Classifier - Artificial versus Human Performance and Annotator Support in an Urgent Instructor-Intervention Model for MOOCs. HUMAN@HT (2023)
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) (2023)
Suncica Hadzidedic, Alexandra I. Cristea, Derrick G. Watson
Effect of emotions and personalisation on cancer website reuse intentions. CoRR (2023)
Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea, Yang Long
Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance. WWW (2023)
Zhongtian Sun, Alexandra I. Cristea, Pietro Lio, Jialin Yu
Adaptive Distance Message Passing From the Multi-Relational Edge View. Tiny Papers @ ICLR (2023)
Filipe Dwan Pereira, Elaine H. T. Oliveira, Luiz A. L. Rodrigues, Luciano de Souza Cabral, David B. F. Oliveira, Leandro S. G. Carvalho, Dragan Gasevic, Alexandra I. Cristea, Diego Dermeval, Rafael Ferreira Mello
Evaluation of a Hybrid AI-Human Recommender for CS1 Instructors in a Real Educational Scenario. EC-TEL (2023)
Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio
MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model. AI Open 4 (2023)
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 (2023)
Filipe Dwan Pereira, Samuel C. Fonseca, Sandra Wiktor, David B. F. Oliveira, Alexandra I. Cristea, Aileen Benedict, Mohammadali Fallahian, Mohsen Dorodchi, Leandro S. G. Carvalho, Rafael Ferreira Mello, Elaine H. T. Oliveira
Toward Supporting CS1 Instructors and Learners With Fine-Grained Topic Detection in Online Judges. IEEE Access 11 (2023)
Zhongtian Sun, Anoushka Harit, Alexandra I. Cristea, Jingyun Wang, Pietro Lio
A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning. BigData (2023)
Latifah Almuqren, Alexandra I. Cristea
Predicting STC Customers' Satisfaction Using Twitter. IEEE Trans. Comput. Soc. Syst. 10 (1) (2023)
Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea
Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic. BigData (2023)
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 (2022)
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)
Laila Alrajhi, Khulood Alharbi, Alexandra I. Cristea, Filipe Dwan Pereira
Extracting the Language of the Need for Urgent Intervention in MOOCs by Analysing Text Posts. ICWL (2022)
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. Big Data (2022)
Adam T. Wynn, Jingyun Wang, Kaoru Umezawa, Alexandra I. Cristea
An AI-Based Feedback Visualisation System for Speech Training. AIED (2) (2022)
Christos Troussas, Akrivi Krouska, Katerina Kabassi, Cleo Sgouropoulou, Alexandra I. Cristea
Editorial: Artificial intelligence techniques for personalized educational software. Frontiers Artif. Intell. 5 (2022)
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)
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)
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)
Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea
Incorporating Emotions into Health Mention Classification Task on Social Media. CoRR (2022)
Arwa Al Saqaabi, Craig D. Stewart, Eleni C. Akrida, Alexandra I. Cristea
A Paraphrase Identification Approach in Paragraph length texts. EDM (2022)
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)
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) (2022)
Arwa AL Saqaabi, Eleni C. Akrida, Alexandra I. Cristea, Craig D. Stewart
A Paraphrase Identification Approach in Paragraph Length Texts. ICDM (Workshops) (2022)
Jingyun Wang, Ryan Hodgson, Alexandra I. Cristea
MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning. ITS (2022)
Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea
Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs. AIED (1) (2022)
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 (2022)
Jonathan Young, Sue Black, Alexandra I. Cristea, Ryan Hodgson, Cristina Todor
Using AI, ML and Sentiment Analysis to Increase Diversity and Equity in Technology Training and Careers. EDM (2022)
Mohammad Alshehri, Alexandra I. Cristea
MOOCs Paid Certification Prediction Using Students Discussion Forums. AIED (2) (2022)
Ryan Hodgson, Jingyun Wang, Alexandra I. Cristea, John Graham
Hybrid Weighted Retrieval of Twitter Users for Temporally Relevant Full-Text Querying in the Media Industry. IIAI-AAI-Winter (2022)
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)
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)
Tahani Aljohani, Alexandra I. Cristea, Laila Alrajhi
Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCs. AIED (2) (2022)
Olanrewaju Tahir Aduragba, Jialin Yu, Alexandra I. Cristea
Multi-task Learning for Personal Health Mention Detection on Social Media. CoRR (2022)
Ryan Hodgson, Jingyun Wang, Alexandra I. Cristea, Fumiko Matsuzaki, Hiroyuki Kubota
A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics. EDM (2022)
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)
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)
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)
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)
Armando M. Toda, Ana C. T. Klock, Filipe Dwan Pereira, Luiz A. L. Rodrigues, Paula Toledo Palomino, Vinícius Lopes, Craig D. Stewart, Elaine H. T. Oliveira, Isabela Gasparini, Seiji Isotani, Alexandra I. Cristea
Towards the understanding of cultural differences in between gamification preferences: A data-driven comparison between the US and Brazil. EDM (2022)
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 (2021)
Laila Alrajhi, Ahmed Alamri, Filipe Dwan Pereira, Alexandra I. Cristea
Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC. ITS (2021)
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)
Latifah Almuqren, Alexandra I. Cristea
COVID-19's Impact on the Telecommunications Companies. WorldCIST (4) (2021)
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)
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)
Mohammed A. Alsheri, Ahmed Alamri, Alexandra I. Cristea, Craig D. Stewart
Forum-based Prediction of Certification in Massive Open Online Courses. ISD (2021)
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)
Tahani Aljohani, Alexandra I. Cristea
Training Temporal and NLP Features via Extremely Randomised Trees for Educational Level Classification. ITS (2021)
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)
Efthyvoulos Drousiotis, Panagiotis Pentaliotis, Lei Shi, Alexandra I. Cristea
Capturing Fairness and Uncertainty in Student Dropout Prediction - A Comparison Study. AIED (2) (2021)
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)
Latifah Almuqren, Alexandra I. Cristea
AraCust: a Saudi Telecom Tweets corpus for sentiment analysis. PeerJ Comput. Sci. 7 (2021)
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)
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)
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)
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) (2021)
Mohammad Alshehri, Ahmed Alamri, Alexandra I. Cristea
Predicting Certification in MOOCs Based on Students' Weekly Activities. ITS (2021)
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)
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) (2021)
Elad Yacobson, Armando M. Toda, Alexandra I. Cristea, Giora Alexandron
Encouraging Teacher-Sourcing of Social Recommendations Through Participatory Gamification Design. ITS (2021)
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 (2021)
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 (2021)
Ryan Hodgson, Alexandra I. Cristea, Lei Shi, John Graham
Wide-Scale Automatic Analysis of 20 Years of ITS Research. ITS (2021)
Mohammed A. Alsheri, Laila M. Alrajhi, Ahmed Alamri, Alexandra I. Cristea
MOOCSent: a Sentiment Predictor for Massive Open Online Courses. ISD (2021)
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) (2020)
Lei Shi, Alexandra I. Cristea, Armando Maciel Toda, Wilk Oliveira
Exploring Navigation Styles in a FutureLearn MOOC. ITS (2020)
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 (2020)
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)
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 (2020)
Lei Shi, Alexandra I. Cristea, Ahmad Alamri, Armando Maciel Toda, Wilk Oliveira
Social Interactions Clustering MOOC Students: An Exploratory Study. CoRR (2020)
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 (2020)
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)
Laila Alrajhi, Khulood Alharbi, Alexandra I. Cristea
A Multidimensional Deep Learner Model of Urgent Instructor Intervention Need in MOOC Forum Posts. ITS (2020)
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)
Lei Shi, Alexandra I. Cristea, Armando M. Toda, Wilk Oliveira
Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students. CoRR (2020)
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)
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)
Lei Shi, Alexandra I. Cristea, Armando Maciel Toda, Wilk Oliveira
Social Engagement versus Learning Engagement - An Exploratory Study of FutureLearn Learners. CoRR (2020)
Filipe Dwan Pereira, Samuel C. Fonseca, Elaine H. T. Oliveira, David B. F. Oliveira, Alexandra I. Cristea, Leandro S. G. Carvalho
Deep learning for early performance prediction of introductory programming students: a comparative and explanatory study. Revista Brasileira de Informática na Educ. 28 (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alexandra I. Cristea