Alexandra I. Cristea

Orcid: 0000-0002-1454-8822

Affiliations:
  • Durham University, UK
  • University of Warwick, UK (former)
  • Eindhoven University of Technology, Netherlands (former)


According to our database1, Alexandra I. Cristea authored at least 246 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Solving the imbalanced data issue: automatic urgency detection for instructor assistance in MOOC discussion forums.
User Model. User Adapt. Interact., July, 2024

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

The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation.
User Model. User Adapt. Interact., April, 2024

Recommender systems for teachers: The relation between social ties and the effectiveness of socially-based features.
Comput. Educ., March, 2024

Arabic Text Sentiment Analysis: Reinforcing Human-Performed Surveys with Wider Topic Analysis.
CoRR, 2024

Partially-Supervised Metric Learning via Dimensionality Reduction of Text Embeddings Using Transformer Encoders and Attention Mechanisms.
IEEE Access, 2024

Paraphrase Generation and Identification at Paragraph-Level.
Proceedings of the Generative Intelligence and Intelligent Tutoring Systems, 2024

Towards Neuro-Enhanced Education: A Systematic Review of BCI-Assisted Development for Non-academic Skills and Abilities.
Proceedings of the Generative Intelligence and Intelligent Tutoring Systems, 2024

Integrating Speech Input in Educational Immersive Virtual Reality Applications: A Systematic Review.
Proceedings of the 12th IEEE International Conference on Intelligent Systems, 2024

Hybrid Agent-Based Machine Learning Simulation Of A Classroom Disruption Model.
Proceedings of the 38th ECMS International Conference on Modelling and Simulation, 2024

Reducing University Students' Exam Anxiety via Mindfulness-Based Cognitive Therapy in VR with Real-Time EEG Neurofeedback.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

Virtual Reality (VR) in Safety Education: A Case Study of Mining Engineering.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

MOOCRev: A Large-Scale Data Repository for Course Reviews.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

Natural Language Processing for a Personalised Educational Experience in Virtual Reality.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2024

2023
Sim-GAIL: A generative adversarial imitation learning approach of student modelling for intelligent tutoring systems.
Neural Comput. Appl., December, 2023

Toward Human-AI Collaboration: A Recommender System to Support CS1 Instructors to Select Problems for Assignments and Exams.
IEEE Trans. Learn. Technol., June, 2023

Predicting STC Customers' Satisfaction Using Twitter.
IEEE Trans. Comput. Soc. Syst., February, 2023

Language as a latent sequence: Deep latent variable models for semi-supervised paraphrase generation.
AI Open, January, 2023

MONEY: Ensemble learning for stock price movement prediction via a convolutional network with adversarial hypergraph model.
AI Open, January, 2023

Deep Latent Variable Models for Semi-supervised Paraphrase Generation.
CoRR, 2023

Effect of emotions and personalisation on cancer website reuse intentions.
CoRR, 2023

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

Improving Health Mention Classification Through Emphasising Literal Meanings: A Study Towards Diversity and Generalisation for Public Health Surveillance.
Proceedings of the ACM Web Conference 2023, 2023

Plug & Play with Deep Neural Networks: Classifying Posts that Need Urgent Intervention in MOOCs.
Proceedings of the Augmented Intelligence and Intelligent Tutoring Systems, 2023

Adaptive Distance Message Passing From the Multi-Relational Edge View.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

Serendipitous Gains of Explaining a Classifier - Artificial versus Human Performance and Annotator Support in an Urgent Instructor-Intervention Model for MOOCs.
Proceedings of the 6th Workshop on Human Factors in Hypertext, 2023

PICA-PICA: Exploring a Customisable Smart STEAM Educational Approach via a Smooth Combination of Programming, Engineering and Art.
Proceedings of the IEEE Global Engineering Education Conference, 2023

Evaluation of a Hybrid AI-Human Recommender for CS1 Instructors in a Real Educational Scenario.
Proceedings of the Responsive and Sustainable Educational Futures, 2023

A Rewiring Contrastive Patch PerformerMixer Framework for Graph Representation Learning.
Proceedings of the IEEE International Conference on Big Data, 2023

Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic.
Proceedings of the IEEE International Conference on Big Data, 2023

Incorporating Emotions into Health Mention Classification Task on Social Media.
Proceedings of the IEEE International Conference on Big Data, 2023

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

Editorial: Artificial intelligence techniques for personalized educational software.
Frontiers Artif. Intell., 2022

Religion and Spirituality on Social Media in the Aftermath of the Global Pandemic.
CoRR, 2022

Multi-task Learning for Personal Health Mention Detection on Social Media.
CoRR, 2022

MEMORABLE: A Multi-playEr custoMisable seriOus Game fRAmework for cyBer-security LEarning.
Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

Intervention Prediction in MOOCs Based on Learners' Comments: A Temporal Multi-input Approach Using Deep Learning and Transformer Models.
Proceedings of the Intelligent Tutoring Systems - 18th International Conference, 2022

Efficient Uncertainty Quantification for Multilabel Text Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations.
Proceedings of the International Joint Conference on Neural Networks, 2022

Contrastive Learning with Heterogeneous Graph Attention Networks on Short Text Classification.
Proceedings of the International Joint Conference on Neural Networks, 2022

Hybrid Weighted Retrieval of Twitter Users for Temporally Relevant Full-Text Querying in the Media Industry.
Proceedings of the 2022 13th International Congress on Advanced Applied Informatics Winter, 2022

Extracting the Language of the Need for Urgent Intervention in MOOCs by Analysing Text Posts.
Proceedings of the Learning Technologies and Systems, 2022

A Paraphrase Identification Approach in Paragraph Length Texts.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Using AI, ML and Sentiment Analysis to Increase Diversity and Equity in Technology Training and Careers.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

Towards the understanding of cultural differences in between gamification preferences: A data-driven comparison between the US and Brazil.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

A Topic-Centric Crowdsourced Assisted Biomedical Literature Review Framework for Academics.
Proceedings of the 15th International Conference on Educational Data Mining, 2022

Is Unimodal Bias Always Bad for Visual Question Answering? A Medical Domain Study with Dynamic Attention.
Proceedings of the IEEE International Conference on Big Data, 2022

Assisting Teachers in Finding Online Learning Resources: The Value of Social Recommendations.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Fine-grained Main Ideas Extraction and Clustering of Online Course Reviews.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

An AI-Based Feedback Visualisation System for Speech Training.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Gamification Through the Looking Glass - Perceived Biases and Ethical Concerns of Brazilian Teachers.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

GARFIELD: A Recommender System to Personalize Gamified Learning.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

SimStu-Transformer: A Transformer-Based Approach to Simulating Student Behaviour.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Balancing Fined-Tuned Machine Learning Models Between Continuous and Discrete Variables - A Comprehensive Analysis Using Educational Data.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

MOOCs Paid Certification Prediction Using Students Discussion Forums.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Adopting Automatic Machine Learning for Temporal Prediction of Paid Certification in MOOCs.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

A Good Classifier is Not Enough: A XAI Approach for Urgent Instructor-Intervention Models in MOOCs.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

Bi-directional Mechanism for Recursion Algorithms: A Case Study on Gender Identification in MOOCs.
Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2021
AraCust: a Saudi Telecom Tweets corpus for sentiment analysis.
PeerJ Comput. Sci., 2021

Learners Demographics Classification on MOOCs During the COVID-19: Author Profiling via Deep Learning Based on Semantic and Syntactic Representations.
Frontiers Res. Metrics Anal., 2021

An Empirical Study on Customer Churn Behaviours Prediction Using Arabic Twitter Mining Approach.
Future Internet, 2021

Towards Designing Profitable Courses: Predicting Student Purchasing Behaviour in MOOCs.
Int. J. Artif. Intell. Educ., 2021

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

COVID-19's Impact on the Telecommunications Companies.
Proceedings of the Trends and Applications in Information Systems and Technologies, 2021

Towards a Human-AI Hybrid System for Categorising Programming Problems.
Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Exploring Bayesian Deep Learning for Urgent Instructor Intervention Need in MOOC Forums.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Encouraging Teacher-Sourcing of Social Recommendations Through Participatory Gamification Design.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

A Brief Survey of Deep Learning Approaches for Learning Analytics on MOOCs.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

A Recommender System Based on Effort: Towards Minimising Negative Affects and Maximising Achievement in CS1 Learning.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Wide-Scale Automatic Analysis of 20 Years of ITS Research.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Predicting Certification in MOOCs Based on Students' Weekly Activities.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Urgency Analysis of Learners' Comments: An Automated Intervention Priority Model for MOOC.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Training Temporal and NLP Features via Extremely Randomised Trees for Educational Level Classification.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Agent-Based Simulation of the Classroom Environment to Gauge the Effect of Inattentive or Disruptive Students.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

MOOC Next Week Dropout Prediction: Weekly Assessing Time and Learning Patterns.
Proceedings of the Intelligent Tutoring Systems - 17th International Conference, 2021

Forum-based Prediction of Certification in Massive Open Online Courses.
Proceedings of the Information Systems Development: Crossing Boundaries between Development and Operations (DevOps) in Information Systems (ISD2021 Proceedings), 2021

MOOCSent: a Sentiment Predictor for Massive Open Online Courses.
Proceedings of the Information Systems Development: Crossing Boundaries between Development and Operations (DevOps) in Information Systems (ISD2021 Proceedings), 2021

A Generative Bayesian Graph Attention Network for Semi-Supervised Classification on Scarce Data.
Proceedings of the International Joint Conference on Neural Networks, 2021

Detecting Fine-Grained Emotions on Social Media during major Disease Outbreaks: Health and Well-being before and during the COVID-19 Pandemic.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

Capturing Fairness and Uncertainty in Student Dropout Prediction - A Comparison Study.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

Agent-Based Classroom Environment Simulation: The Effect of Disruptive Schoolchildren's Behaviour Versus Teacher Control over Neighbours.
Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

A Survey of Collaborative Reinforcement Learning: Interactive Methods and Design Patterns.
Proceedings of the DIS '21: Designing Interactive Systems Conference 2021, 2021

2020
Deep learning for early performance prediction of introductory programming students: a comparative and explanatory study.
Revista Brasileira de Informática na Educ., 2020

Validating the Effectiveness of Data-Driven Gamification Recommendations: An Exploratory Study.
CoRR, 2020

Social Interactions Clustering MOOC Students: An Exploratory Study.
CoRR, 2020

Hybrid Sequential Recommender via Time-aware Attentive Memory Network.
CoRR, 2020

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

Can We Use Gamification to Predict Students' Performance? A Case Study Supported by an Online Judge.
Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

A Multidimensional Deep Learner Model of Urgent Instructor Intervention Need in MOOC Forum Posts.
Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

Prediction of Users' Professional Profile in MOOCs Only by Utilising Learners' Written Texts.
Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

Data-Driven Analysis of Engagement in Gamified Learning Environments: A Methodology for Real-Time Measurement of MOOCs.
Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

Is MOOC Learning Different for Dropouts? A Visually-Driven, Multi-granularity Explanatory ML Approach.
Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

Exploring Navigation Styles in a FutureLearn MOOC.
Proceedings of the Intelligent Tutoring Systems - 16th International Conference, 2020

GamiCSM: relating education, culture and gamification - a link between worlds.
Proceedings of the IHC '20: XIX Brazilian Symposium on Human Factors in Computing Systems, 2020

Temporal Sentiment Analysis of Learners: Public Versus Private Social Media Communication Channels in a Women-in-Tech Conversion Course.
Proceedings of the 15th International Conference on Computer Science & Education, 2020

Digital Inclusion in Nothern England: Training Women from Underrepresented Communities in Tech: A Data Analytics Case Study.
Proceedings of the 15th International Conference on Computer Science & Education, 2020

Automatic Subject-based Contextualisation of Programming Assignment Lists.
Proceedings of the 13th International Conference on Educational Data Mining, 2020

Sequential Recommender via Time-aware Attentive Memory Network.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Analysing gamification elements in educational environments using an existing Gamification taxonomy.
Smart Learn. Environ., 2019

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., 2019

Predicting MOOCs Dropout Using Only Two Easily Obtainable Features from the First Week's Activities.
Proceedings of the Intelligent Tutoring Systems - 15th International Conference, 2019

Social Engagement versus Learning Engagement An Exploratory Study of FutureLearn Learners.
Proceedings of the 14th IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2019

Using Deep Learning Networks to Predict Telecom Company Customer Satisfaction Based on Arabic Tweets.
Proceedings of the Information Systems Development: Information Systems Beyond 2020, 2019

Revealing the Hidden Patterns: A Comparative Study on Profiling Subpopulations of MOOC Students.
Proceedings of the Information Systems Development: Information Systems Beyond 2020, 2019

A Taxonomy of Game Elements for Gamification in Educational Contexts: Proposal and Evaluation.
Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies, 2019

Early Performance Prediction for CS1 Course Students using a Combination of Machine Learning and an Evolutionary Algorithm.
Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies, 2019

Narrative for Gamification in Education: Why Should you Care?
Proceedings of the 19th IEEE International Conference on Advanced Learning Technologies, 2019

Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study.
Proceedings of the 12th International Conference on Educational Data Mining, 2019

Early Dropout Prediction for Programming Courses Supported by Online Judges.
Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018
Building and evaluating resources for sentiment analysis in the Greek language.
Lang. Resour. Evaluation, 2018

Lightweight Adaptive E-Advertising Model.
J. Univers. Comput. Sci., 2018

Cognitive agents and machine learning by example: Representation with conceptual graphs.
Comput. Intell., 2018

In-depth Exploration of Engagement Patterns in MOOCs.
Proceedings of the Web Information Systems Engineering - WISE 2018, 2018

Can We Assess Mental Health Through Social Media and Smart Devices? Addressing Bias in Methodology and Evaluation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Earliest Predictor of Dropout in MOOCs: A Longitudinal Study of FutureLearn courses.
Proceedings of the Information Systems Development: Designing Digitalization, 2018

How is Learning Fluctuating? FutureLearn MOOCs Fine-Grained Temporal Analysis and Feedback to Teachers.
Proceedings of the Information Systems Development: Designing Digitalization, 2018

Demographic Indicators Influencing Learning Activities in MOOCs: Learning Analytics of FutureLearn Courses.
Proceedings of the Information Systems Development: Designing Digitalization, 2018

A Large-Scale Category-Based Evaluation of A Visual Language for Adaptive Hypermedia.
Proceedings of the 2018 The 3rd International Conference on Information and Education Innovations, 2018

On the Need for Fine-Grained Analysis of Gender Versus Commenting Behaviour in MOOCs.
Proceedings of the 2018 The 3rd International Conference on Information and Education Innovations, 2018

An Intuitive Authoring System for a Personalised, Social, Gamified, Visualisation-supporting e-learning System.
Proceedings of the 2018 The 3rd International Conference on Information and Education Innovations, 2018

Can learner characteristics predict their behaviour on MOOCs?
Proceedings of the 10th International Conference on Education Technology and Computers, 2018

Nowcasting the Stance of Social Media Users in a Sudden Vote: The Case of the Greek Referendum.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017
What's New? Analysing Language-Specific Wikipedia Entity Contexts to Support Entity-Centric News Retrieval.
Trans. Comput. Collect. Intell., 2017

Do personalisation and emotions affect the use of cancer-related websites?
Online Inf. Rev., 2017

IJCCI IS Editorial 2016.
Int. J. Child Comput. Interact., 2017

Connecting Targets to Tweets: Semantic Attention-Based Model for Target-Specific Stance Detection.
Proceedings of the Web Information Systems Engineering - WISE 2017, 2017

Immersion in e-Learning.
Proceedings of the Workshops Proceedings and Tutorials of the 28th ACM Conference on Hypertext and Social Media (HT 2017), 2017

A Review on Corpus Annotation for Arabic Sentiment Analysis.
Proceedings of the Social Computing and Social Media. Applications and Analytics, 2017

Identifying Objectives for a Learning Space Management System with Value-focused Thinking.
Proceedings of the CSEDU 2017, 2017

2016
Learners Thrive Using Multifaceted Open Social Learner Modeling.
IEEE Multim., 2016

Towards detection of influential sentences affecting reputation in wikipedia.
Proceedings of the 8th ACM Conference on Web Science, 2016

Who likes me more?: analysing entity-centric language-specific bias in multilingual Wikipedia.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Motivational Gamification Strategies Rooted in Self-Determination Theory for Social Adaptive E-Learning.
Proceedings of the Intelligent Tutoring Systems - 13th International Conference, 2016

An Adaptive e-Advertising Delivery Model: The AEADS Approach.
Proceedings of the 13th International Joint Conference on e-Business and Telecommunications (ICETE 2016), 2016

Twitter Analysis to Predict the Satisfaction of Telecom Company Customers.
Proceedings of the Late-breaking Results, 2016

Framework for Sentiment Analysis of Arabic Text.
Proceedings of the 27th ACM Conference on Hypertext and Social Media, 2016

Real-Time Timeline Summarisation for High-Impact Events in Twitter.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Combining Heterogeneous User Generated Data to Sense Well-being.
Proceedings of the COLING 2016, 2016

2015
Predicting Elections for Multiple Countries Using Twitter and Polls.
IEEE Intell. Syst., 2015

WarwickDCS: From Phrase-Based to Target-Specific Sentiment Recognition.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Is Wikipedia Really Neutral? A Sentiment Perspective Study of War-related Wikipedia Articles since 1945.
Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation, 2015

Large Scale Evaluation of an Adaptive E-Advertising User Model.
Proceedings of the E-Business and Telecommunications - 12th International Joint Conference, 2015

An Adaptive E-Advertising User Model: The AEADS Approach.
Proceedings of the ICE-B 2015, 2015

Personalized E-Advertisement and Experience: Recommending User Targeted Ads.
Proceedings of the 12th IEEE International Conference on e-Business Engineering, 2015

Analysing Entity Context in Multilingual Wikipedia to Support Entity-Centric Retrieval Applications.
Proceedings of the Semantic Keyword-Based Search on Structured Data Sources, 2015

A Taxonomy-Based Evaluation of Personalized E-Advertisement.
Proceedings of the 15th IEEE International Conference on Computer and Information Technology, 2015

2014
Entropy-based automated wrapper generation for weblog data extraction.
World Wide Web, 2014

Introduction to the special issue of the World Wide Web journal on "Social Media Preservation and Applications".
World Wide Web, 2014

The ethical and social implications of personalization technologies for e-learning.
Inf. Manag., 2014

Making it Game-Like: Topolor 2 and Gamified Social E-Learning.
Proceedings of the Posters, 2014

The critical role of profiles in social e-learning design.
Proceedings of the 15th Annual Conference on Information Technology Education, 2014

Self-reinforced Meta Learning for Belief Generation.
Proceedings of the Research and Development in Intelligent Systems XXXI, 2014

Contextual Gamification of Social Interaction - Towards Increasing Motivation in Social E-learning.
Proceedings of the Advances in Web-Based Learning - ICWL 2014, 2014

Multifaceted Open Social Learner Modelling.
Proceedings of the Advances in Web-Based Learning - ICWL 2014, 2014

How to Create an E-Advertising Adaptation Strategy: The AEADS Approach.
Proceedings of the E-Commerce and Web Technologies - 15th International Conference, 2014

Designing Visualisation and Interaction for Social E-Learning: A Case Study in Topolor 2.
Proceedings of the Open Learning and Teaching in Educational Communities, 2014

2013
A hybrid approach for spotting, disambiguating and annotating places in user-generated text.
Proceedings of the 22nd International World Wide Web Conference, 2013

Zero-cost labelling with web feeds for weblog data extraction.
Proceedings of the 22nd International World Wide Web Conference, 2013

An Exploratory Study to Design an Adaptive Hypermedia System for Online-advertisement.
Proceedings of the WEBIST 2013, 2013

Topolor: A Social Personalized Adaptive E-Learning System.
Proceedings of the User Modeling, Adaptation, and Personalization, 2013

Designing social personalized adaptive e-learning.
Proceedings of the Innovation and Technology in Computer Science Education conference 2013, 2013

Evaluation of Social Personalized Adaptive E-Learning Environments: End-User Point of View.
Proceedings of the 2013 Imperial College Computing Student Workshop, 2013

Evaluation of Social Interaction Features in Topolor - A Social Personalized Adaptive E-Learning System.
Proceedings of the IEEE 13th International Conference on Advanced Learning Technologies, 2013

Evaluating System Functionality in Social Personalized Adaptive E-Learning Systems.
Proceedings of the Scaling up Learning for Sustained Impact, 2013

Self-supervised Automated Wrapper Generation for Weblog Data Extraction.
Proceedings of the Big Data - 29th British National Conference on Databases, 2013

Towards Understanding Learning Behavior Patterns in Social Adaptive Personalized E-Learning Systems.
Proceedings of the 19th Americas Conference on Information Systems, 2013

Social Personalized Adaptive E-Learning Environment: Topolor - Implementation and Evaluation.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012
Technological foundations of the current blogosphere.
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, 2012

Blogs as Objects of Preservation: Advancing the Discussion on Significant Properties.
Proceedings of the 9th International Conference on Digital Preservation, 2012

Apply the We!Design Methodology in E-learning 2.0 System Design: A Pilot Study.
Proceedings of the 2012 Imperial College Computing Student Workshop, 2012

2011
Towards adaptation in e-learning 2.0.
New Rev. Hypermedia Multim., 2011

2010
Merging Strategies for Authoring QoE-based Adaptive Hypermedia.
J. Univers. Comput. Sci., 2010

Advances in Authoring of Adaptive Web-based Systems.
J. Univers. Comput. Sci., 2010

Transforming a Linear Module into an Adaptive One: Tackling the Challenge.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

The CAE-L Cultural Framework: Definition, Instances and Web Service.
Proceedings of the ICALT 2010, 2010

Reusing Adaptation Strategies in Adaptive Educational Hypermedia Systems.
Proceedings of the ICALT 2010, 2010

Continuous Use of Authoring for Adaptive Educational Hypermedia: A Long-term Case Study.
Proceedings of the ICALT 2010, 2010

The next generation authoring adaptive hypermedia: using and evaluating the MOT3.0 and PEAL tools.
Proceedings of the HT'10, 2010

2009
Social Reference Model for Adaptive Web Learning.
Proceedings of the Advances in Web Based Learning, 2009

Adaptation Languages for Learning: The CAM Meta-model.
Proceedings of the 9th IEEE International Conference on Advanced Learning Technologies, 2009

Authoring for E-learning 2.0: A Case Study.
Proceedings of the 9th IEEE International Conference on Advanced Learning Technologies, 2009

LAG 2.0: Refining a Reusable Adaptation Language and Improving on Its Authoring.
Proceedings of the Learning in the Synergy of Multiple Disciplines, 2009

MOT 2.0: A Case Study on the Usefuleness of Social Modeling for Personalized E-Learning Systems.
Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009

2008
A Spiral Model for Adding Automatic, Adaptive Authoring to Adaptive Hypermedia.
J. Univers. Comput. Sci., 2008

Authoring of Adaptive and Adaptable Hypermedia.
J. Univers. Comput. Sci., 2008

Defining Adaptation in a Generic Multi Layer Model: CAM: The GRAPPLE Conceptual Adaptation Model.
Proceedings of the Times of Convergence. Technologies Across Learning Contexts, 2008

Evaluation of Interoperability between MOT and Regular Learning Management Systems.
Proceedings of the Times of Convergence. Technologies Across Learning Contexts, 2008

Cultural Artefacts in Education: Analysis, Ontologies and Implementation.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Reuse Patterns in Adaptation Languages: Creating a Meta-level for the LAG Adaptation Language.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2008

Interoperability between MOT and Learning Management Systems: Converting CAF to IMS QTI and IMS CP.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2008

2007
Adaptive Hypermedia System Interoperability: a 'real world' evaluation.
J. Digit. Inf., 2007

Towards a generic adaptive hypermedia platform: a conversion case study.
J. Digit. Inf., 2007

Quality of Experience-LAOS: create once, use many, use anywhere.
Int. J. Learn. Technol., 2007

Authoring adaptive educational hypermedia on the semantic desktop.
Int. J. Learn. Technol., 2007

Specification, authoring and prototyping of personalised workplace learning solutions.
Int. J. Learn. Technol., 2007

Evaluating the automatic and manual creation process of adaptive lessons.
Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007

Authoring of Adaptive Educational Hypermedia.
Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, 2007

A Qualitative and Quantitative Evaluation of Adaptive Authoring of Adaptive Hypermedia.
Proceedings of the Creating New Learning Experiences on a Global Scale, 2007

2006
Interoperable Adaptive Educational Hypermedia: A Web Service Definition.
Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, 2006

Adapting SME Learning Environments for Adaptivity.
Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, 2006

AWELS: Adaptive Web-Based Education and Learning Styles.
Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, 2006

Authoring Adaptive Hypermedia and IMS Learning Design: A Possible Understanding?.
Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies, 2006

Automatic and Manual Annotation Using Flexible Schemas for Adaptation on the Semantic Desktop.
Proceedings of the Innovative Approaches for Learning and Knowledge Sharing, 2006

Learning Styles Adaptation Language for Adaptive Hypermedia.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2006

2005
Editorial: Authoring of Adaptive Hypermedia.
J. Educ. Technol. Soc., 2005

Patterns in Authoring of Adaptive Educational Hypermedia: A Taxonomy of Learning Styles.
J. Educ. Technol. Soc., 2005

Goal Oriented Personalisation with SCORM.
Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, 2005

Evaluation of adaptive hypermedia systems' conversion.
Proceedings of the HYPERTEXT 2005, 2005

Third International Workshop on Authoring of Adaptive and Adaptable Educational Hypermedia.
Proceedings of the Artificial Intelligence in Education, 2005

2004
What can the Semantic Web do for Adaptive Educational Hypermedia?.
J. Educ. Technol. Soc., 2004

Authoring of learning styles in adaptive hypermedia: problems and solutions.
Proceedings of the 13th international conference on World Wide Web, 2004

Flexibility of Automatic Authoring for the Semantic Web.
Proceedings of the WWW2004 Workshop on Application Design, 2004

Evaluating adaptive hypermedia authoring while teaching adaptive systems.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

The LAG Grammar for Authoring the Adaptive Web.
Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004

Adaptive Course Creation for All.
Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04), 2004

Adaptive Web-Based Educational Hypermedia.
Proceedings of the Web Dynamics - Adapting to Change in Content, Size, Topology and Use, 2004

2003
A WWW Information Seeking Process Model.
J. Educ. Technol. Soc., 2003

Adaptive Patterns in Authoring of Educational Adaptive Hypermedia.
J. Educ. Technol. Soc., 2003

LAOS: Layered WWW AHS Authoring Model with Algebraic Operators.
Proceedings of the Twelfth International World Wide Web Conference, 2003

The Three Layers of Adaptation Granularity.
Proceedings of the User Modeling 2003, 2003

Designer Adaptation in Adaptive Hypermedia Authoring .
Proceedings of the 2003 International Symposium on Information Technology (ITCC 2003), 2003

2002
The Integrated e-Learning System-RAPSODY Based on Distance Ecology Model and Its Practice.
J. Educ. Technol. Soc., 2002

Ontological Support for Web Courseware Authoring.
Proceedings of the Intelligent Tutoring Systems, 6th International Conference, 2002

A Layered Approach towards Domain Authoring support.
Proceedings of the International Conference on Artificial Intelligence, 2002

Adaptive Authoring of Adaptive Educational Hypermedia.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2002

Towards Generic Adaptive Systems: Analysis of a Case Study.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2002

2001
Future integrated learning environments with multimedia.
J. Comput. Assist. Learn., 2001

A Distance Ecological Model for Individual and Collaborative-learning support.
J. Educ. Technol. Soc., 2001

Object-oriented Collaborative Course Authoring Environment supported by Concept Mapping in MyEnglishTeacher.
J. Educ. Technol. Soc., 2001

The Distance Ecological Model to Support Self/Collaborative-Learning in the Internet Environment.
Proceedings of the Proceedings IEEE International Conference on Advanced Learning Technology: Issues, 2001

Collaborative Learning Support Knowledge Management for Asynchronous Learning Networks.
Proceedings of the Proceedings IEEE International Conference on Advanced Learning Technology: Issues, 2001

Proposal of a Collaborative Learning Standardization.
Proceedings of the Proceedings IEEE International Conference on Advanced Learning Technology: Issues, 2001

A Cooperative Linkage between University and Industry via an Internet Distance Education System.
Proceedings of the Proceedings IEEE International Conference on Advanced Learning Technology: Issues, 2001

Considering Automatic Educational Validation of Computerized Educational Systems.
Proceedings of the Proceedings IEEE International Conference on Advanced Learning Technology: Issues, 2001

The Development of CALL Environment on the WWW for Teaching Academic English.
Proceedings of the Proceedings IEEE International Conference on Advanced Learning Technology: Issues, 2001

Measuring Knowledge Transfer Skills by Using Constrained-Student Modeler Autonomous Agent.
Proceedings of the Proceedings IEEE International Conference on Advanced Learning Technology: Issues, 2001

2000
Supporting Discovery Learning in Building Neral Network Models.
Proceedings of the Intelligent Tutoring Systems, 5th International Conference, 2000

MyEnglishTeacher-an evolutionary Web-based, multi-agent environment for academic English teaching.
Proceedings of the 2000 Congress on Evolutionary Computation, 2000

Exploratory Activity Support Based on a Semantic Feature Map.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2000

Knowledge Computing Method for Enhancing the Effectiveness of a WWW Distance Education System.
Proceedings of the Adaptive Hypermedia and Adaptive Web-Based Systems, 2000

1999
Speed-up opportunities for ANN in a time-share parallel environment.
Proceedings of the International Joint Conference Neural Networks, 1999

1998
SEE Prediction: Construction of a L-based Energy Function.
Proceedings of the International ICSC / IFAC Symposium on Neural Computation (NC 1998), 1998

Sub-symbolic knowledge extraction environment for teaching process assistance.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998

Energy function construction and implementation for stock exchange prediction NNs.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998

The Development of a Feedforward NN for Financial Time Series Forecasts.
Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1997
A Parallelization Method for Neural Networks with Weak Connection Design.
Proceedings of the High Performance Computing, International Symposium, 1997


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