A Parallelization Method for Neural Networks with Weak Connection Design. - Alexandra I. Cristea; Toshio Okamoto (ISHPC, 1997)

The Development of a Feedforward NN for Financial Time Series Forecasts. - Alexandra I. Cristea; Toshio Okamoto (ICONIP, 1998)

Energy function construction and implementation for stock exchange prediction NNs. - Alexandra I. Cristea; Toshio Okamoto (KES (3), 1998)

Sub-symbolic knowledge extraction environment for teaching process assistance. - Alexandra I. Cristea; Toshio Okamoto (KES (3), 1998)

SEE Prediction: Construction of a L-based Energy Function. - Alexandra I. Cristea; Toshio Okamoto (NC, 1998)

Speed-up opportunities for ANN in a time-share parallel environment. - Alexandra I. Cristea; Toshio Okamoto (IJCNN, 1999)

Knowledge Computing Method for Enhancing the Effectiveness of a WWW Distance Education System. - Alexandra I. Cristea; Toshio Okamoto (AH, 2000)

Exploratory Activity Support Based on a Semantic Feature Map. - Mizue Kayama; Toshio Okamoto; Alexandra I. Cristea (AH, 2000)

MyEnglishTeacher-an evolutionary Web-based, multi-agent environment for academic English teaching. - Alexandra Ioana Cristea; T. Okamoto; Paul Cristea (CEC, 2000)

Supporting Discovery Learning in Building Neral Network Models. - Safia Belkada; Toshio Okamoto; Alexandra I. Cristea (Intelligent Tutoring Systems, 2000)

Measuring Knowledge Transfer Skills by Using Constrained-Student Modeler Autonomous Agent. - Safia Belkada; Alexandra I. Cristea; Toshio Okamoto (ICALT, 2001)

The Development of CALL Environment on the WWW for Teaching Academic English. - Jin Chen; Hisayoshi Inoue; Toshio Okamoto; Safia Belkada; Alexandra I. Cristea (ICALT, 2001)

Considering Automatic Educational Validation of Computerized Educational Systems. - Alexandra I. Cristea; Toshio Okamoto (ICALT, 2001)

A Cooperative Linkage between University and Industry via an Internet Distance Education System. - Toshio Okamoto; Hisayoshi Inoue; Alexandra I. Cristea; Mizue Kayama; Tatsunori Matsui; Kazuya Seki (ICALT, 2001)

Proposal of a Collaborative Learning Standardization. - Toshio Okamoto; Mizue Kayama; Alexandra I. Cristea (ICALT, 2001)

Collaborative Learning Support Knowledge Management for Asynchronous Learning Networks. - Toshio Okamoto; Mizue Kayama; Alexandra I. Cristea (ICALT, 2001)

The Distance Ecological Model to Support Self/Collaborative-Learning in the Internet Environment. - Toshio Okamoto; Mizue Kayama; Alexandra I. Cristea; Kazuya Seki (ICALT, 2001)

Object-oriented Collaborative Course Authoring Environment supported by Concept Mapping in MyEnglishTeacher. - Alexandra I. Cristea; Toshio Okamoto (J. Educ. Technol. Soc., 2001)

A Distance Ecological Model for Individual and Collaborative-learning support. - Toshio Okamoto; Alexandra I. Cristea (J. Educ. Technol. Soc., 2001)

Future integrated learning environments with multimedia. - Toshio Okamoto; Alexandra I. Cristea; Mizue Kayama (J. Comput. Assist. Learn., 2001)

Towards Generic Adaptive Systems: Analysis of a Case Study. - Licia Calvi; Alexandra I. Cristea (AH, 2002)

Adaptive Authoring of Adaptive Educational Hypermedia. - Alexandra I. Cristea; Lora Aroyo (AH, 2002)

A Layered Approach towards Domain Authoring support. - Lora Aroyo; Alexandra I. Cristea; Darina Dicheva (IC-AI, 2002)

Ontological Support for Web Courseware Authoring. - Lora Aroyo; Darina Dicheva; Alexandra I. Cristea (Intelligent Tutoring Systems, 2002)

The Integrated e-Learning System-RAPSODY Based on Distance Ecology Model and Its Practice. - Toshio Okamoto; Mizue Kayama; Hisayoshi Inoue; Alexandra I. Cristea (J. Educ. Technol. Soc., 2002)

Designer Adaptation in Adaptive Hypermedia Authoring . - Alexandra I. Cristea; Arnout de Mooij (ITCC, 2003)

The Three Layers of Adaptation Granularity. - Alexandra I. Cristea; Licia Calvi (User Modeling, 2003)

LAOS: Layered WWW AHS Authoring Model with Algebraic Operators. - Alexandra I. Cristea; Arnout de Mooij (WWW (Alternate Paper Tracks), 2003)

Adaptive Patterns in Authoring of Educational Adaptive Hypermedia. - Alexandra I. Cristea (J. Educ. Technol. Soc., 2003)

A WWW Information Seeking Process Model. - Susanne Loeber; Alexandra I. Cristea (J. Educ. Technol. Soc., 2003)

Adaptive Web-Based Educational Hypermedia. - Paul De Bra; Lora Aroyo; Alexandra I. Cristea (Web Dynamics, 2004)

Adaptive Course Creation for All. - Alexandra I. Cristea (ITCC (1), 2004)

The LAG Grammar for Authoring the Adaptive Web. - Alexandra I. Cristea; Michael Verschoor (ITCC (1), 2004)

Evaluating adaptive hypermedia authoring while teaching adaptive systems. - Alexandra I. Cristea (SAC, 2004)

Flexibility of Automatic Authoring for the Semantic Web. - Alexandra I. Cristea (WWW Workshop on Application Design, Development and Implementation Issues in the Semantic Web, 2004)

Authoring of learning styles in adaptive hypermedia: problems and solutions. - Natalia Stash; Alexandra I. Cristea; Paul De Bra (WWW (Alternate Track Papers & Posters), 2004)

What can the Semantic Web do for Adaptive Educational Hypermedia?. - Alexandra I. Cristea (J. Educ. Technol. Soc., 2004)

Third International Workshop on Authoring of Adaptive and Adaptable Educational Hypermedia. - Alexandra I. Cristea; Rosa M. Carro; Franca Garzotto (AIED, 2005)

Evaluation of adaptive hypermedia systems' conversion. - Alexandra I. Cristea; Helen Ashman; Craig D. Stewart; Paul Cristea (Hypertext, 2005)

Goal Oriented Personalisation with SCORM. - Guillermo Power; Hugh C. Davis; Alexandra I. Cristea; Craig D. Stewart; Helen Ashman (ICALT, 2005)

Patterns in Authoring of Adaptive Educational Hypermedia: A Taxonomy of Learning Styles. - Elizabeth J. Brown; Alexandra I. Cristea; Craig D. Stewart; Tim J. Brailsford (J. Educ. Technol. Soc., 2005)

Editorial: Authoring of Adaptive Hypermedia. - Alexandra I. Cristea (J. Educ. Technol. Soc., 2005)

Learning Styles Adaptation Language for Adaptive Hypermedia. - Natalia Stash; Alexandra I. Cristea; Paul De Bra (AH, 2006)

Automatic and Manual Annotation Using Flexible Schemas for Adaptation on the Semantic Desktop. - Alexandra I. Cristea; Maurice Hendrix; Wolfgang Nejdl (EC-TEL, 2006)

Authoring Adaptive Hypermedia and IMS Learning Design: A Possible Understanding?. - Alexandra I. Cristea; Daniel Burgos (ICALT, 2006)

AWELS: Adaptive Web-Based Education and Learning Styles. - Alexandra I. Cristea; Natalia Stash (ICALT, 2006)

Adapting SME Learning Environments for Adaptivity. - Alexandra I. Cristea; Angelo Wentzler; Egbert Heuvelman; Paul De Bra (ICALT, 2006)

Interoperable Adaptive Educational Hypermedia: A Web Service Definition. - Maram Meccawy; Ilknur Celik; Alexandra I. Cristea; Craig D. Stewart; Helen Ashman (ICALT, 2006)

A Qualitative and Quantitative Evaluation of Adaptive Authoring of Adaptive Hypermedia. - Maurice Hendrix; Alexandra I. Cristea (EC-TEL, 2007)

Authoring of Adaptive Educational Hypermedia. - Alexandra I. Cristea (ICALT, 2007)

Evaluating the automatic and manual creation process of adaptive lessons. - Maurice Hendrix; Alexandra I. Cristea; Mike Joy (ICALT, 2007)

Specification, authoring and prototyping of personalised workplace learning solutions. - Peter Dolog; Milos Kravcik; Alexandra I. Cristea; Daniel Burgos; Paul De Bra; Stefano Ceri; Vladan Devedzic; Geert-Jan Houben; Paul Libbrecht; Maristella Matera; Erica Melis; Wolfgang Nejdl; et al. (Int. J. Learn. Technol., 2007)

Authoring adaptive educational hypermedia on the semantic desktop. - Maurice Hendrix; Alexandra I. Cristea; Wolfgang Nejdl (Int. J. Learn. Technol., 2007)

Quality of Experience-LAOS: create once, use many, use anywhere. - Cristina Hava Muntean; Gabriel-Miro Muntean; Jennifer McManis; Alexandra I. Cristea (Int. J. Learn. Technol., 2007)

Towards a generic adaptive hypermedia platform: a conversion case study. - Alexandra I. Cristea; David Smits; Paul De Bra (J. Digit. Inf., 2007)

Adaptive Hypermedia System Interoperability: a 'real world' evaluation. - Alexandra I. Cristea; Craig D. Stewart; Tim J. Brailsford; Paul Dan Cristea (J. Digit. Inf., 2007)

Interoperability between MOT and Learning Management Systems: Converting CAF to IMS QTI and IMS CP. - Fawaz Ghali; Alexandra I. Cristea (AH, 2008)

Reuse Patterns in Adaptation Languages: Creating a Meta-level for the LAG Adaptation Language. - Maurice Hendrix; Alexandra I. Cristea (AH, 2008)

Cultural Artefacts in Education: Analysis, Ontologies and Implementation. - Craig D. Stewart; Krishna Chandramouli; Alexandra I. Cristea; Tim J. Brailsford; Ebroul Izquierdo (CSSE (5), 2008)

Evaluation of Interoperability between MOT and Regular Learning Management Systems. - Fawaz Ghali; Alexandra I. Cristea (EC-TEL, 2008)

Defining Adaptation in a Generic Multi Layer Model: CAM: The GRAPPLE Conceptual Adaptation Model. - Maurice Hendrix; Paul De Bra; Mykola Pechenizkiy; David Smits; Alexandra I. Cristea (EC-TEL, 2008)

Authoring of Adaptive and Adaptable Hypermedia. - Alexandra I. Cristea; Rosa M. Carro (J. Univers. Comput. Sci., 2008)

A Spiral Model for Adding Automatic, Adaptive Authoring to Adaptive Hypermedia. - Maurice Hendrix; Alexandra I. Cristea (J. Univers. Comput. Sci., 2008)

MOT 2.0: A Case Study on the Usefuleness of Social Modeling for Personalized E-Learning Systems. - Fawaz Ghali; Alexandra I. Cristea (AIED, 2009)

LAG 2.0: Refining a Reusable Adaptation Language and Improving on Its Authoring. - Alexandra I. Cristea; David Smits; Jon Bevan; Maurice Hendrix (EC-TEL, 2009)

Authoring for E-learning 2.0: A Case Study. - Fawaz Ghali; Alexandra I. Cristea (ICALT, 2009)

Adaptation Languages for Learning: The CAM Meta-model. - Maurice Hendrix; Alexandra I. Cristea; Craig D. Stewart (ICALT, 2009)

Social Reference Model for Adaptive Web Learning. - Fawaz Ghali; Alexandra I. Cristea (ICWL, 2009)

The next generation authoring adaptive hypermedia: using and evaluating the MOT3.0 and PEAL tools. - Jonathan G. K. Foss; Alexandra I. Cristea (HT, 2010)

Continuous Use of Authoring for Adaptive Educational Hypermedia: A Long-term Case Study. - Jonathan G. K. Foss; Alexandra I. Cristea; Maurice Hendrix (ICALT, 2010)

Reusing Adaptation Strategies in Adaptive Educational Hypermedia Systems. - Joshua Scotton; Alexandra I. Cristea (ICALT, 2010)

The CAE-L Cultural Framework: Definition, Instances and Web Service. - Craig D. Stewart; Tim J. Brailsford; Krishna Chandramouli; Alexandra I. Cristea (ICALT, 2010)

Transforming a Linear Module into an Adaptive One: Tackling the Challenge. - Jonathan G. K. Foss; Alexandra I. Cristea (Intelligent Tutoring Systems (2), 2010)

Advances in Authoring of Adaptive Web-based Systems. - Alexandra I. Cristea; Rosa M. Carro; Craig D. Stewart (J. Univers. Comput. Sci., 2010)

Merging Strategies for Authoring QoE-based Adaptive Hypermedia. - Joshua Scotton; Sabine Moebs; Jennifer McManis; Alexandra I. Cristea (J. Univers. Comput. Sci., 2010)

Towards adaptation in e-learning 2.0. - Alexandra I. Cristea; Fawaz Ghali (New Rev. Hypermedia Multim., 2011)

Apply the We!Design Methodology in E-learning 2.0 System Design: A Pilot Study. - Lei Shi 003; Dana Al Qudah; Alexandra I. Cristea (ICCSW, 2012)

Blogs as Objects of Preservation: Advancing the Discussion on Significant Properties. - Karen Stepanyan; Seamus Ross; Matthias Trier; Mike Joy; Alexandra I. Cristea; George Gkotsis; Hendrik Kalb; Yunhyong Kim (iPRES, 2012)

Technological foundations of the current blogosphere. - Vangelis Banos; Karen Stepanyan; Mike Joy; Alexandra I. Cristea; Yannis Manolopoulos (WIMS, 2012)

Social Personalized Adaptive E-Learning Environment: Topolor - Implementation and Evaluation. - Lei Shi 003; George Gkotsis; Karen Stepanyan; Dana Al Qudah; Alexandra I. Cristea (AIED, 2013)

Towards Understanding Learning Behavior Patterns in Social Adaptive Personalized E-Learning Systems. - Lei Shi 003; Alexandra I. Cristea; Malik Shahzad Kaleem Awan; Craig D. Stewart; Maurice Hendrix (AMCIS, 2013)

Self-supervised Automated Wrapper Generation for Weblog Data Extraction. - George Gkotsis; Karen Stepanyan; Alexandra I. Cristea; Mike Joy (BNCOD, 2013)

Evaluating System Functionality in Social Personalized Adaptive E-Learning Systems. - Lei Shi 003; Malik Shahzad Kaleem Awan; Alexandra I. Cristea (EC-TEL, 2013)

Evaluation of Social Interaction Features in Topolor - A Social Personalized Adaptive E-Learning System. - Lei Shi 003; Karen Stepanyan; Dana Al Qudah; Alexandra I. Cristea (ICALT, 2013)

Evaluation of Social Personalized Adaptive E-Learning Environments: End-User Point of View. - Lei Shi 003; Malik Shahzad Kaleem Awan; Alexandra I. Cristea (ICCSW, 2013)

Designing social personalized adaptive e-learning. - Lei Shi 003; Dana Al Qudah; Alexandra I. Cristea (ITiCSE, 2013)

Topolor: A Social Personalized Adaptive E-Learning System. - Lei Shi 003; Dana Al Qudah; Alaa A. Qaffas; Alexandra I. Cristea (UMAP, 2013)

An Exploratory Study to Design an Adaptive Hypermedia System for Online-advertisement. - Dana Al Qudah; Alexandra I. Cristea; Lei Shi 003 (WEBIST, 2013)

Zero-cost labelling with web feeds for weblog data extraction. - George Gkotsis; Karen Stepanyan; Alexandra I. Cristea; Mike Joy (WWW (Companion Volume), 2013)

A hybrid approach for spotting, disambiguating and annotating places in user-generated text. - Karen Stepanyan; George Gkotsis; Vangelis Banos; Alexandra I. Cristea; Mike Joy (WWW (Companion Volume), 2013)

Designing Visualisation and Interaction for Social E-Learning: A Case Study in Topolor 2. - Lei Shi 003; Alexandra I. Cristea (EC-TEL, 2014)

How to Create an E-Advertising Adaptation Strategy: The AEADS Approach. - Alaa A. Qaffas; Alexandra I. Cristea (EC-Web, 2014)

Multifaceted Open Social Learner Modelling. - Lei Shi 003; Alexandra I. Cristea; Suncica Hadzidedic (ICWL, 2014)

Contextual Gamification of Social Interaction - Towards Increasing Motivation in Social E-learning. - Lei Shi 003; Alexandra I. Cristea; Suncica Hadzidedic; Naida Dervishalidovic (ICWL, 2014)

Self-reinforced Meta Learning for Belief Generation. - Alexandros Gkiokas; Alexandra I. Cristea; Matthew Thorpe (SGAI Conf., 2014)

The critical role of profiles in social e-learning design. - Lei Shi 003; Alexandra I. Cristea; Suncica Hadzidedic (SIGITE, 2014)

Making it Game-Like: Topolor 2 and Gamified Social E-Learning. - Lei Shi 003; Alexandra I. Cristea (UMAP Workshops, 2014)

The ethical and social implications of personalization technologies for e-learning. - Helen Ashman; Tim J. Brailsford; Alexandra I. Cristea; Quan Z. Sheng; Craig D. Stewart; Elaine G. Toms; Vincent P. Wade (Inf. Manag., 2014)

Introduction to the special issue of the World Wide Web journal on "Social Media Preservation and Applications". - Alexandra I. Cristea; Dimitrios Katsaros 001; Yannis Manolopoulos (World Wide Web, 2014)

Entropy-based automated wrapper generation for weblog data extraction. - George Gkotsis; Karen Stepanyan; Alexandra I. Cristea; Mike Joy (World Wide Web, 2014)

A Taxonomy-Based Evaluation of Personalized E-Advertisement. - Dana Al Qudah; Alexandra I. Cristea; Suncica Hadzidedic Bazdarevic; Samar Al-Saqqa; Rizik M. H. Al-Sayyad (CIT/IUCC/DASC/PICom, 2015)

Analysing Entity Context in Multilingual Wikipedia to Support Entity-Centric Retrieval Applications. - Yiwei Zhou; Elena Demidova; Alexandra I. Cristea (International KEYSTONE Conference, 2015)

Personalized E-Advertisement and Experience: Recommending User Targeted Ads. - Dana Al Qudah; Alexandra I. Cristea; Suncica Hadzidedic Bazdarevic; Samar Al-Saqqa; Ali Rodan; Wei Yang (ICEBE, 2015)

An Adaptive E-Advertising User Model: The AEADS Approach. - Alaa A. Qaffas; Alexandra I. Cristea (ICE-B, 2015)

Large Scale Evaluation of an Adaptive E-Advertising User Model. - Alaa A. Qaffas; Alexandra I. Cristea (ICETE (Selected Papers), 2015)

Is Wikipedia Really Neutral? A Sentiment Perspective Study of War-related Wikipedia Articles since 1945. - Yiwei Zhou; Alexandra I. Cristea; Zachary L. Roberts (PACLIC, 2015)

WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition. - Richard Townsend; Adam Tsakalidis; Yiwei Zhou; Bo Wang 034; Maria Liakata; Arkaitz Zubiaga; Alexandra I. Cristea; Rob Procter (SemEval@NAACL-HLT, 2015)

Predicting Elections for Multiple Countries Using Twitter and Polls. - Adam Tsakalidis; Symeon Papadopoulos; Alexandra I. Cristea; Yiannis Kompatsiaris (IEEE Intell. Syst., 2015)

Combining Heterogeneous User Generated Data to Sense Well-being. - Adam Tsakalidis; Maria Liakata; Theodoros Damoulas; Brigitte Jellinek; Weisi Guo; Alexandra I. Cristea (COLING, 2016)

Real-Time Timeline Summarisation for High-Impact Events in Twitter. - Yiwei Zhou; Nattiya Kanhabua; Alexandra I. Cristea (ECAI, 2016)

Framework for Sentiment Analysis of Arabic Text. - Latifah Almuqren; Alexandra I. Cristea (HT, 2016)

Twitter Analysis to Predict the Satisfaction of Telecom Company Customers. - Latifah Almuqren; Alexandra I. Cristea (HT (Extended Proceedings), 2016)

An Adaptive e-Advertising Delivery Model: The AEADS Approach. - Alaa A. Qaffas; Alexandra I. Cristea (ICE-B, 2016)

Motivational Gamification Strategies Rooted in Self-Determination Theory for Social Adaptive E-Learning. - Lei Shi 003; Alexandra I. Cristea (ITS, 2016)

Who likes me more?: analysing entity-centric language-specific bias in multilingual Wikipedia. - Yiwei Zhou; Elena Demidova; Alexandra I. Cristea (SAC, 2016)

Towards detection of influential sentences affecting reputation in wikipedia. - Yiwei Zhou; Alexandra I. Cristea (WebSci, 2016)

Learners Thrive Using Multifaceted Open Social Learner Modeling. - Lei Shi 003; Alexandra I. Cristea (IEEE Multim., 2016)

Identifying Objectives for a Learning Space Management System with Value-focused Thinking. - Ari Tuhkala; Hannakaisa Isomäki; Markus Hartikainen; Alexandra I. Cristea; Andrea Alessandrini (CSEDU (1), 2017)

A Review on Corpus Annotation for Arabic Sentiment Analysis. - Latifah Almuqren; Arwa Alzammam; Shahad Alotaibi; Alexandra I. Cristea; Sarah Alhumoud (HCI (13), 2017)

Immersion in e-Learning. - Alexandra I. Cristea (HT (Extended Proceedings), 2017)

Connecting Targets to Tweets: Semantic Attention-Based Model for Target-Specific Stance Detection. - Yiwei Zhou; Alexandra I. Cristea; Lei Shi 003 (WISE (1), 2017)

IJCCI IS Editorial 2016. - Andrea Alessandrini; Alexandra I. Cristea; Hannakaisa Isomäki (Int. J. Child Comput. Interact., 2017)

Do personalisation and emotions affect the use of cancer-related websites? - Suncica Hadzidedic Bazdarevic; Alexandra Ioana Cristea (Online Inf. Rev., 2017)

What's New? Analysing Language-Specific Wikipedia Entity Contexts to Support Entity-Centric News Retrieval. - Yiwei Zhou; Elena Demidova; Alexandra I. Cristea (Trans. Comput. Collect. Intell., 2017)

Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum. - Adam Tsakalidis; Nikolaos Aletras; Alexandra I. Cristea; Maria Liakata (CIKM, 2018)

Can learner characteristics predict their behaviour on MOOCs? - Alexandra I. Cristea; Ahmed Alamri; Mohammad Alshehri; Mizue Kayama; Jonathan G. K. Foss; Lei Shi 003; Craig D. Stewart (ICETC, 2018)

An Intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System. - Ahmed Alamri; Harry Rusby; Alexandra I. Cristea; Mizue Kayama; Javed I. Khan; Lei Shi 003; Craig D. Stewart (ICIEI, 2018)

On the Need for Fine-Grained Analysis of Gender Versus Commenting Behaviour in MOOCs. - Mohammad Alshehri; Jonathan G. K. Foss; Alexandra I. Cristea; Mizue Kayama; Lei Shi 003; Ahmed Alamri; Adam Tsakalidis (ICIEI, 2018)

A Large-Scale Category-Based Evaluation of A Visual Language for Adaptive Hypermedia. - Javed I. Khan; Alexandra I. Cristea; Ahmed Alamri (ICIEI, 2018)

Demographic Indicators Influencing Learning Activities in MOOCs: Learning Analytics of FutureLearn Courses. - Lei Shi 003; Alexandra I. Cristea (ISD, 2018)

How is Learning Fluctuating? FutureLearn MOOCs Fine-Grained Temporal Analysis and Feedback to Teachers. - Alexandra I. Cristea; Mohammad Alshehri; Ahmed Alamri; Mizue Kayama; Craig D. Stewart; Lei Shi 003 (ISD, 2018)

Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn courses. - Alexandra I. Cristea; Ahmed Alamri; Mizue Kayama; Craig D. Stewart; Mohammad Alshehri; Lei Shi 003 (ISD, 2018)

Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation. - Adam Tsakalidis; Maria Liakata; Theo Damoulas; Alexandra I. Cristea (ECML/PKDD (3), 2018)

In-depth Exploration of Engagement Patterns in MOOCs. - Lei Shi 003; Alexandra I. Cristea (WISE (2), 2018)

Cognitive agents and machine learning by example: Representation with conceptual graphs. - Alexandros Gkiokas; Alexandra I. Cristea (Comput. Intell., 2018)

Lightweight Adaptive E-Advertising Model. - Alaa A. Qaffas; Alexandra I. Cristea; Mohamed A. Mead (J. Univers. Comput. Sci., 2018)

Building and evaluating resources for sentiment analysis in the Greek language. - Adam Tsakalidis; Symeon Papadopoulos; Rania Voskaki; Kyriaki Ioannidou; Christina Boididou; Alexandra I. Cristea; Maria Liakata; Yiannis Kompatsiaris (Lang. Resour. Evaluation, 2018)

Early Dropout Prediction for Programming Courses Supported by Online Judges. - Filipe D. Pereira; Elaine H. T. Oliveira; Alexandra I. Cristea; David Fernandes; Luciano Silva; Gene Aguiar; Ahmed Alamri; Mohammad Alshehri (AIED (2), 2019)

Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study. - Armando Maciel Toda; Wilk Oliveira; Lei Shi 003; Ig Ibert Bittencourt; Seiji Isotani; Alexandra I. Cristea (EDM, 2019)

Narrative for Gamification in Education: Why Should you Care? - Paula Toledo Palomino; Armando Maciel Toda; Wilk Oliveira; Alexandra I. Cristea; Seiji Isotani (ICALT, 2019)

Early Performance Prediction for CS1 Course Students using a Combination of Machine Learning and an Evolutionary Algorithm. - Filipe D. Pereira; Elaine H. T. Oliveira; David Fernandes; Alexandra I. Cristea (ICALT, 2019)

A Taxonomy of Game Elements for Gamification in Educational Contexts: Proposal and Evaluation. - Armando Maciel Toda; Wilk Oliveira; Ana Carolina Tomé Klock; Paula Toledo Palomino; Marcelo Pimenta; Ig Ibert Bittencourt; Lei Shi 003; Isabela Gasparini; Seiji Isotani; Alexandra I. Cristea (ICALT, 2019)

Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students. - Lei Shi 003; Alexandra I. Cristea; Armando Maciel Toda; Wilk Oliveira (ISD, 2019)

Using Deep Learning Networks to Predict Telecom Company Customer Satisfaction Based on Arabic Tweets. - Latifah AbdulRahman Almuqren; Monzer Moh'd Qasem; Alexandra I. Cristea (ISD, 2019)

Social Engagement versus Learning Engagement An Exploratory Study of FutureLearn Learners. - Lei Shi 003; Alexandra I. Cristea; Armando M. Toda; Wilk Oliveira (ISKE, 2019)

Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities. - Ahmed Alamri; Mohammad Alshehri; Alexandra I. Cristea; Filipe D. Pereira; Elaine H. T. Oliveira; Lei Shi 003; Craig D. Stewart (ITS, 2019)

How to Gamify Learning Systems? An Experience Report using the Design Sprint Method and a Taxonomy for Gamification Elements in Education. - Armando M. Toda; Paula T. Palomino; Wilk Oliveira; Luiz A. L. Rodrigues; Ana C. T. Klock; Isabela Gasparini; Alexandra I. Cristea; Seiji Isotani (J. Educ. Technol. Soc., 2019)

Analysing gamification elements in educational environments using an existing Gamification taxonomy. - Armando Maciel Toda; Ana Carolina Tomé Klock; Wilk Oliveira; Paula Toledo Palomino; Luiz A. L. Rodrigues; Lei Shi 003; Ig Ibert Bittencourt; Isabela Gasparini; Seiji Isotani; Alexandra I. Cristea (Smart Learn. Environ., 2019)

Sequential Recommender via Time-aware Attentive Memory Network. - Wendi Ji; Keqiang Wang; Xiaoling Wang; Tingwei Chen; Alexandra I. Cristea (CIKM, 2020)

Automatic Subject-based Contextualisation of Programming Assignment Lists. - Samuel C. Fonseca; Filipe Dwan Pereira; Elaine H. T. Oliveira; David Fernandes; Leandro S. G. Carvalho; Alexandra I. Cristea (EDM, 2020)

Digital Inclusion in Nothern England: Training Women from Underrepresented Communities in Tech: A Data Analytics Case Study. - Olanrewaju Tahir Aduragba; Jialin Yu; Alexandra I. Cristea; Mariann Hardey; Sue Black 001 (ICCSE, 2020)

Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course. - Jialin Yu; Olanrewaju Tahir Aduragba; Zhongtian Sun; Sue Black 001; Craig D. Stewart; Lei Shi 003; Alexandra I. Cristea (ICCSE, 2020)

GamiCSM: relating education, culture and gamification - a link between worlds. - 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 (IHC, 2020)

Exploring Navigation Styles in a FutureLearn MOOC. - Lei Shi 003; Alexandra I. Cristea; Armando Maciel Toda; Wilk Oliveira (ITS, 2020)

Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach. - Ahmed Alamri; Zhongtian Sun; Alexandra I. Cristea; Gautham Senthilnathan; Lei Shi 003; Craig D. Stewart (ITS, 2020)

Data-Driven Analysis of Engagement in Gamified Learning Environments: A Methodology for Real-Time Measurement of MOOCs. - Khulood Alharbi; Laila Alrajhi; Alexandra I. Cristea; Ig Ibert Bittencourt; Seiji Isotani; Annie James (ITS, 2020)

Prediction of Users' Professional Profile in MOOCs Only by Utilising Learners' Written Texts. - Tahani Aljohani; Filipe Dwan Pereira; Alexandra I. Cristea; Elaine H. T. Oliveira (ITS, 2020)

A Multidimensional Deep Learner Model of Urgent Instructor Intervention Need in MOOC Forum Posts. - Laila Alrajhi; Khulood Alharbi; Alexandra I. Cristea (ITS, 2020)

Can We Use Gamification to Predict Students' Performance? A Case Study Supported by an Online Judge. - Filipe D. Pereira; Armando Maciel Toda; Elaine H. T. Oliveira; Alexandra I. Cristea; Seiji Isotani; Dion Laranjeira; Adriano Almeida; Jonas Mendonça (ITS, 2020)

Using learning analytics in the Amazonas: understanding students' behaviour in introductory programming. - 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 (Br. J. Educ. Technol., 2020)

Hybrid Sequential Recommender via Time-aware Attentive Memory Network. - Wendi Ji; Keqiang Wang; Xiaoling Wang; Tingwei Chen; Alexandra I. Cristea (CoRR, 2020)

Social Interactions Clustering MOOC Students: An Exploratory Study. - Lei Shi 003; Alexandra I. Cristea; Ahmad Alamri; Armando Maciel Toda; Wilk Oliveira (CoRR, 2020)

Validating the Effectiveness of Data-Driven Gamification Recommendations: An Exploratory Study. - Armando Maciel Toda; Paula Toledo Palomino; Luiz A. L. Rodrigues; Wilk Oliveira; Lei Shi 003; Seiji Isotani; Alexandra I. Cristea (CoRR, 2020)

Deep learning for early performance prediction of introductory programming students: a comparative and explanatory study. - Filipe Dwan Pereira; Samuel C. Fonseca; Elaine H. T. Oliveira; David B. F. Oliveira; Alexandra I. Cristea; Leandro S. G. Carvalho (Revista Brasileira de Informática na Educ., 2020)

A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns. - Zhaoxing Li; Lei Shi 003; Alexandra I. Cristea; Yunzhan Zhou (Conference on Designing Interactive Systems, 2021)

Agent-Based Classroom Environment Simulation: The Effect of Disruptive Schoolchildren's Behaviour Versus Teacher Control over Neighbours. - Khulood Alharbi; Alexandra I. Cristea; Lei Shi 003; Peter Tymms; Chris Brown 003 (AIED (2), 2021)

Capturing Fairness and Uncertainty in Student Dropout Prediction - A Comparison Study. - Efthyvoulos Drousiotis; Panagiotis Pentaliotis; Lei Shi 003; Alexandra I. Cristea (AIED (2), 2021)

Detecting Fine-Grained Emotions on Social Media during major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic. - Olanrewaju Tahir Aduragba; Jialin Yu; Alexandra I. Cristea; Lei Shi 003 (AMIA, 2021)

A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data. - Zhongtian Sun; Anoushka Harit; Jialin Yu; Alexandra I. Cristea; Noura Al Moubayed (IJCNN, 2021)

MOOCSent: a Sentiment Predictor for Massive Open Online Courses. - Mohammed A. Alsheri; Laila M. Alrajhi; Ahmed Alamri; Alexandra I. Cristea (ISD, 2021)

Forum-based Prediction of Certification in Massive Open Online Courses. - Mohammed A. Alsheri; Ahmed Alamri; Alexandra I. Cristea; Craig D. Stewart (ISD, 2021)

MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns. - Ahmed Alamri; Zhongtian Sun; Alexandra I. Cristea; Craig D. Stewart; Filipe Dwan Pereira (ITS, 2021)

Agent-Based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students. - Khulood Alharbi; Alexandra I. Cristea; Lei Shi 003; Peter Tymms; Chris Brown 003 (ITS, 2021)

Training Temporal and NLP Features via Extremely Randomised Trees for Educational Level Classification. - Tahani Aljohani; Alexandra I. Cristea (ITS, 2021)

Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC. - Laila Alrajhi; Ahmed Alamri; Filipe Dwan Pereira; Alexandra I. Cristea (ITS, 2021)

Predicting Certification in MOOCs Based on Students' Weekly Activities. - Mohammad Alshehri; Ahmed Alamri; Alexandra I. Cristea (ITS, 2021)

Wide-Scale Automatic Analysis of 20 Years of ITS Research. - Ryan Hodgson; Alexandra I. Cristea; Lei Shi 003; John Graham (ITS, 2021)

A Recommender System Based on Effort: Towards Minimising Negative Affects and Maximising Achievement in CS1 Learning. - 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 (ITS, 2021)

A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs. - Zhongtian Sun; Anoushka Harit; Jialin Yu; Alexandra I. Cristea; Lei Shi 003 (ITS, 2021)

Encouraging Teacher-Sourcing of Social Recommendations Through Participatory Gamification Design. - Elad Yacobson; Armando M. Toda; Alexandra I. Cristea; Giora Alexandron (ITS, 2021)

Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums. - Jialin Yu; Laila Alrajhi; Anoushka Harit; Zhongtian Sun; Alexandra I. Cristea; Lei Shi 003 (ITS, 2021)

Towards a Human-AI Hybrid System for Categorising Programming Problems. - Filipe Dwan Pereira; Francisco Pires; Samuel C. Fonseca; Elaine H. T. Oliveira; Leandro S. G. Carvalho; David B. F. Oliveira; Alexandra I. Cristea (SIGCSE, 2021)

COVID-19's Impact on the Telecommunications Companies. - Latifah Almuqren; Alexandra I. Cristea (WorldCIST (4), 2021)

Explaining Individual and Collective Programming Students' Behavior by Interpreting a Black-Box Predictive Model. - 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 (IEEE Access, 2021)

Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs. - Mohammad Alshehri; Ahmed Alamri; Alexandra I. Cristea; Craig D. Stewart (Int. J. Artif. Intell. Educ., 2021)

An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach. - Latifah Almuqren; Fatma S. Alrayes; Alexandra I. Cristea (Future Internet, 2021)

Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations. - Tahani Aljohani; Alexandra I. Cristea (Frontiers Res. Metrics Anal., 2021)

AraCust: a Saudi Telecom Tweets corpus for sentiment analysis. - Latifah Almuqren; Alexandra I. Cristea (PeerJ Comput. Sci., 2021)

Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCs. - Tahani Aljohani; Alexandra I. Cristea; Laila Alrajhi (AIED (2), 2022)

A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs. - Laila Alrajhi; Filipe Dwan Pereira; Alexandra I. Cristea; Tahani Aljohani (AIED (2), 2022)

Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs. - Mohammad Alshehri; Ahmed Alamri; Alexandra I. Cristea (AIED (1), 2022)

MOOCs Paid Certification Prediction Using Students Discussion Forums. - Mohammad Alshehri; Alexandra I. Cristea (AIED (2), 2022)

Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data. - Efthyvoulos Drousiotis; Panagiotis Pentaliotis; Lei Shi 003; Alexandra I. Cristea (AIED (1), 2022)

SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour. - Zhaoxing Li; Lei Shi 003; Alexandra I. Cristea; Yunzhan Zhou; Chenghao Xiao; Ziqi Pan (AIED (2), 2022)

GARFIELD: A Recommender System to Personalize Gamified Learning. - 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 (AIED (1), 2022)

Gamification Through the Looking Glass - Perceived Biases and Ethical Concerns of Brazilian Teachers. - 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 (AIED (2), 2022)

An AI-Based Feedback Visualisation System for Speech Training. - Adam T. Wynn; Jingyun Wang; Kaoru Umezawa; Alexandra I. Cristea (AIED (2), 2022)

Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews. - Chenghao Xiao; Lei Shi 003; Alexandra I. Cristea; Zhaoxing Li; Ziqi Pan (AIED (1), 2022)

Assisting Teachers in Finding Online Learning Resources: The Value of Social Recommendations. - Elad Yacobson; Armando M. Toda; Alexandra I. Cristea; Giora Alexandron (AIED (2), 2022)

Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention. - Zhongtian Sun; Anoushka Harit; Alexandra I. Cristea; Jialin Yu; Noura Al Moubayed; Lei Shi 003 (IEEE Big Data, 2022)

A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics. - Ryan Hodgson; Jingyun Wang; Alexandra I. Cristea; Fumiko Matsuzaki; Hiroyuki Kubota (EDM, 2022)

Towards the understanding of cultural differences in between gamification preferences: A data-driven comparison between the US and Brazil. - 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 (EDM, 2022)

Using AI, ML and Sentiment Analysis to Increase Diversity and Equity in Technology Training and Careers. - Jonathan Young; Sue Black 001; Alexandra I. Cristea; Ryan Hodgson; Cristina Todor (EDM, 2022)

A Paraphrase Identification Approach in Paragraph Length Texts. - Arwa Al Saqaabi; Eleni C. Akrida; Alexandra I. Cristea; Craig D. Stewart (ICDM (Workshops), 2022)

Extracting the Language of the Need for Urgent Intervention in MOOCs by Analysing Text Posts. - Laila Alrajhi; Khulood Alharbi; Alexandra I. Cristea; Filipe Dwan Pereira (ICWL, 2022)

Hybrid Weighted Retrieval of Twitter Users for Temporally Relevant Full-Text Querying in the Media Industry. - Ryan Hodgson; Jingyun Wang; Alexandra I. Cristea; John Graham (IIAI-AAI-Winter, 2022)

Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification. - Zhongtian Sun; Anoushka Harit; Alexandra I. Cristea; Jialin Yu; Lei Shi 003; Noura Al Moubayed (IJCNN, 2022)

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations. - Jialin Yu; Alexandra I. Cristea; Anoushka Harit; Zhongtian Sun; Olanrewaju Tahir Aduragba; Lei Shi 003; Noura Al Moubayed (IJCNN, 2022)

Efficient Uncertainty Quantification for Multilabel Text Classification. - Jialin Yu; Alexandra I. Cristea; Anoushka Harit; Zhongtian Sun; Olanrewaju Tahir Aduragba; Lei Shi 003; Noura Al Moubayed (IJCNN, 2022)

Intervention Prediction in MOOCs Based on Learners' Comments: A Temporal Multi-input Approach Using Deep Learning and Transformer Models. - Laila Alrajhi; Ahmed Alamri; Alexandra I. Cristea (ITS, 2022)

MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning. - Jingyun Wang; Ryan Hodgson; Alexandra I. Cristea (ITS, 2022)

Multi-task Learning for Personal Health Mention Detection on Social Media. - Olanrewaju Tahir Aduragba; Jialin Yu; Alexandra I. Cristea (CoRR, 2022)

Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic. - Olanrewaju Tahir Aduragba; Alexandra I. Cristea; Pete Phillips; Jonas Kurlberg; Jialin Yu (CoRR, 2022)

Editorial: Artificial intelligence techniques for personalized educational software. - Christos Troussas; Akrivi Krouska; Katerina Kabassi; Cleo Sgouropoulou; Alexandra I. Cristea (Frontiers Artif. Intell., 2022)

Are They Learning or Playing? Moderator Conditions of Gamification's Success in Programming Classrooms. - 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 (ACM Trans. Comput. Educ., 2022)

Incorporating Emotions into Health Mention Classification Task on Social Media. - Olanrewaju Tahir Aduragba; Jialin Yu; Alexandra I. Cristea (IEEE Big Data, 2023)

Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic. - Olanrewaju Tahir Aduragba; Jialin Yu; Alexandra I. Cristea (IEEE Big Data, 2023)

A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning. - Zhongtian Sun; Anoushka Harit; Alexandra I. Cristea; Jingyun Wang; Pietro Lio (IEEE Big Data, 2023)

Evaluation of a Hybrid AI-Human Recommender for CS1 Instructors in a Real Educational Scenario. - 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 (EC-TEL, 2023)

PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art. - Takashi Nagai; Strahinja Klem; Mizue Kayama; Takehiko Asuke; Maram Meccawy; Jingyun Wang; Alexandra I. Cristea; Craig D. Stewart; Lei Shi 003 (EDUCON, 2023)

Serendipitous Gains of Explaining a Classifier - Artificial versus Human Performance and Annotator Support in an Urgent Instructor-Intervention Model for MOOCs. - Laila Alrajhi; Filipe Dwan Pereira; Alexandra I. Cristea; Ahmed Alamri (HUMAN@HT, 2023)

Adaptive Distance Message Passing From the Multi-Relational Edge View. - Zhongtian Sun; Alexandra I. Cristea; Pietro Lio; Jialin Yu (Tiny Papers @ ICLR, 2023)

Plug & Play with Deep Neural Networks: Classifying Posts that Need Urgent Intervention in MOOCs. - Laila Alrajhi; Alexandra I. Cristea (ITS, 2023)

Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance. - Olanrewaju Tahir Aduragba; Jialin Yu; Alexandra I. Cristea; Yang Long 001 (WWW, 2023)

Toward Supporting CS1 Instructors and Learners With Fine-Grained Topic Detection in Online Judges. - 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 (IEEE Access, 2023)

Effect of emotions and personalisation on cancer website reuse intentions. - Suncica Hadzidedic; Alexandra I. Cristea; Derrick G. Watson (CoRR, 2023)

Deep Latent Variable Models for Semi-supervised Paraphrase Generation. - Jialin Yu; Alexandra I. Cristea; Anoushka Harit; Zhongtian Sun; Olanrewaju Tahir Aduragba; Lei Shi 003; Noura Al Moubayed (CoRR, 2023)

MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model. - Zhongtian Sun; Anoushka Harit; Alexandra I. Cristea; Jingyun Wang; Pietro Lio (AI Open, 2023)

Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation. - Jialin Yu; Alexandra I. Cristea; Anoushka Harit; Zhongtian Sun; Olanrewaju Tahir Aduragba; Lei Shi 003; Noura Al Moubayed (AI Open, 2023)

Predicting STC Customers' Satisfaction Using Twitter. - Latifah Almuqren; Alexandra I. Cristea (IEEE Trans. Comput. Soc. Syst., 2023)

Toward Human-AI Collaboration: A Recommender System to Support CS1 Instructors to Select Problems for Assignments and Exams. - Filipe Dwan Pereira; Luiz A. L. Rodrigues; Marcelo Henrique Oliveira Henklain; Hermino B. F. Junior; David B. F. Oliveira; Alexandra I. Cristea; Leandro S. G. Carvalho; Seiji Isotani; Aileen Benedict; Mohsen Dorodchi; Elaine Harada Teixeira de Oliveira (IEEE Trans. Learn. Technol., 2023)

Sim-GAIL: A generative adversarial imitation learning approach of student modelling for intelligent tutoring systems. - Zhaoxing Li; Lei Shi 003; Jindi Wang; Alexandra I. Cristea; Yunzhan Zhou (Neural Comput. Appl., 2023)

Natural Language Processing for a Personalised Educational Experience in Virtual Reality. - Nuha Alghamdi; Alexandra I. Cristea (AIED Companion (2), 2024)

MOOCRev: A Large-Scale Data Repository for Course Reviews. - Mohammad Alshehri; Fahd Alfarsi; Ahmed Alamri; Laila Alrajhi; Saman Rizvi; Filipe Dwan Pereira; Seiji Isotani; Alexandra I. Cristea (AIED Companion (2), 2024)

Virtual Reality (VR) in Safety Education: A Case Study of Mining Engineering. - Haoqian Chang; Ziqi Pan; Alexandra I. Cristea (AIED Companion (2), 2024)

Reducing University Students' Exam Anxiety via Mindfulness-Based Cognitive Therapy in VR with Real-Time EEG Neurofeedback. - Ziqi Pan; Alexandra I. Cristea; Frederick W. B. Li (AIED Companion (2), 2024)

Hybrid Agent-Based Machine Learning Simulation Of A Classroom Disruption Model. - Khulood Alharbi; Alexandra I. Cristea (ECMS, 2024)

Integrating Speech Input in Educational Immersive Virtual Reality Applications: A Systematic Review. - Nuha Alghamdi; Alexandra I. Cristea (IS, 2024)

Towards Neuro-Enhanced Education: A Systematic Review of BCI-Assisted Development for Non-academic Skills and Abilities. - Ziqi Pan; Alexandra I. Cristea (ITS (2), 2024)

Paraphrase Generation and Identification at Paragraph-Level. - Arwa Al Saqaabi; Craig D. Stewart; Eleni C. Akrida; Alexandra I. Cristea (ITS (2), 2024)

Enhancing Cluster-Based Topic Models Through Parametric Dimensionality Reduction with Transformer-Encoders. - Ryan Hodgson; Alexandra I. Cristea; John Graham (LOD (2), 2024)

Partially-Supervised Metric Learning via Dimensionality Reduction of Text Embeddings Using Transformer Encoders and Attention Mechanisms. - Ryan Hodgson; Jingyun Wang; Alexandra I. Cristea; John Graham (IEEE Access, 2024)

Arabic Text Sentiment Analysis: Reinforcing Human-Performed Surveys with Wider Topic Analysis. - Latifah Almuqren; Ryan Hodgson; Alexandra I. Cristea (CoRR, 2024)

Brazilian Teachers' concerns towards the use of Gamification in Education: perceived barriers to its adoption. - Armando Maciel Toda; Paula Toledo Palomino; Luiz A. L. Rodrigues; Ana Carolina Tomé Klock; Filipe Dwan Pereira; Simone de Sousa Borges; Isabela Gasparini; Elaine Harada Teixeira de Oliveira; Seiji Isotani; Alexandra Ioana Cristea (Revista Brasileira de Informática na Educ., 2024)

Recommender systems for teachers: The relation between social ties and the effectiveness of socially-based features. - Elad Yacobson; Armando M. Toda; Alexandra I. Cristea; Giora Alexandron (Comput. Educ., 2024)

The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation. - Alexandra I. Cristea; Ahmed Alamri; Mohammad Alshehri; Filipe Dwan Pereira; Armando M. Toda; Elaine Harada T. de Oliveira; Craig D. Stewart (User Model. User Adapt. Interact., 2024)

How Personalization Affects Motivation in Gamified Review Assessments. - 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 (Int. J. Artif. Intell. Educ., 2024)

Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums. - Laila Alrajhi; Ahmed Alamri; Filipe Dwan Pereira; Alexandra I. Cristea; Elaine H. T. Oliveira (User Model. User Adapt. Interact., 2024)

From Test Scores to Neural Spikes: Predicting Students' Abstract Reasoning Ability Using EEG with Attention-Based Models. - Stefano D'Urso; Ziqi Pan; Alexandra I. Cristea; Filippo Sciarrone (AIED (1), 2025)

Integrating GNNs and Knowledge Graph Patches in Recommendations in MOOCs. - Zhifei Hu; Alexandra I. Cristea; Feng Xia (AIED (3), 2025)

Multi-domain Evaluation of Auto-paraphrase Generation at Paragraph-Level: Insights for Education and Plagiarism Detection. - Arwa Al Saqaabi; Craig D. Stewart; Eleni C. Akrida; Alexandra I. Cristea (ITS (2), 2025)

Explainable artificial intelligence and advanced feature selection methods for predicting gas concentration in longwall mining. - Haoqian Chang; Xiangqian Wang 002; Alexandra I. Cristea; Xiangrui Meng; Zuxiang Hu; Ziqi Pan (Inf. Fusion, 2025)

Prediction of sentiment polarity in restaurant reviews using an ordinal regression approach based on evolutionary XGBoost. - Dana Al Qudah; Ala' M. Al-Zoubi; Alexandra I. Cristea; Juan Julián Merelo Guervós; Pedro A. Castillo; Hossam Faris (PeerJ Comput. Sci., 2025)

TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation. - Zhaoxing Li; Vahid Yazdanpanah; Jindi Wang; Wen Gu; Lei Shi 003; Alexandra I. Cristea; Sarah Kiden; Sebastian Stein 001 (CoRR, 2025)

A Deep Learning Approach for Paragraph-Level Paraphrase Generation for Plagiarism Detection. - Arwa Al Saqaabi; Craig D. Stewart; Eleni C. Akrida; Alexandra I. Cristea (Neural Process. Lett., 2025)

GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning. - Zhongtian Sun; Anoushka Harit; Alexandra I. Cristea; Christl A. Donnelly; Pietro Liò (CoRR, 2025)