Katrien Verbert

Orcid: 0000-0001-6699-7710

Affiliations:
  • KU Leuven


According to our database1, Katrien Verbert authored at least 165 papers between 2004 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Investigating the Use of Deep Learning and Implicit Feedback in K12 Educational Recommender Systems.
IEEE Trans. Learn. Technol., 2024

A Method for Developing Process-Based Assessments for Computational Thinking Tasks.
J. Learn. Anal., 2024

Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular Risk Communication.
CoRR, 2024

"How Good Is Your Explanation?": Towards a Standardised Evaluation Approach for Diverse XAI Methods on Multiple Dimensions of Explainability.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Representation Debiasing of Generated Data Involving Domain Experts.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

An Explanatory Model Steering System for Collaboration between Domain Experts and AI.
Proceedings of the Adjunct Proceedings of the 32nd ACM Conference on User Modeling, 2024

Feedback, Control, or Explanations? Supporting Teachers With Steerable Distractor-Generating AI.
Proceedings of the 14th Learning Analytics and Knowledge Conference, 2024

The effect of personalizing a psychotherapy conversational agent on therapeutic bond and usage intentions.
Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

Designing and Evaluating Explanations for a Predictive Health Dashboard: A User-Centred Case Study.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

Nudging Adolescents Towards Recommended Maths Exercises with Gameful Rewards.
Proceedings of the Artificial Intelligence in Education - 25th International Conference, 2024

2023
Communicating Uncertainty in Digital Humanities Visualization Research.
IEEE Trans. Vis. Comput. Graph., 2023

Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform.
CoRR, 2023

Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI.
Proceedings of the Explainable Artificial Intelligence, 2023

Steering Recommendations and Visualising Its Impact: Effects on Adolescents' Trust in E-Learning Platforms.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations.
Proceedings of the 28th International Conference on Intelligent User Interfaces, 2023

Designing and Personalising Hybrid Multi-Modal Health Explanations for Lay Users.
Proceedings of the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023) co-located with 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

From Tapestry to Data Visualisation: Networks of Collaboration in Project Cornelia.
Proceedings of the Annual International Conference of the Alliance of Digital Humanities Organizations, 2023

Daily Pain Prediction in Workplace Using Gaussian Processes.
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022
Explaining artificial intelligence with visual analytics in healthcare.
WIREs Data Mining Knowl. Discov., 2022

"Knowing me, knowing you": personalized explanations for a music recommender system.
User Model. User Adapt. Interact., 2022

Tools Designed to Support Self-Regulated Learning in Online Learning Environments: A Systematic Review.
IEEE Trans. Learn. Technol., 2022

A Systematic Review of Interaction Design Strategies for Group Recommendation Systems.
Proc. ACM Hum. Comput. Interact., 2022

Towards Tangible Algorithms: Exploring the Experiences of Tangible Interactions with Movie Recommender Algorithms.
Proc. ACM Hum. Comput. Interact., 2022

Perceptual Effects of Hierarchy in Art Historical Social Networks.
Digit. Humanit. Q., 2022

Designing and evaluating explainable AI for non-AI experts: challenges and opportunities.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Explaining Health Recommendations to Lay Users: The Dos and Dont's.
Proceedings of the Joint Proceedings of the IUI 2022 Workshops: APEx-UI, 2022

Explaining Artificial Intelligencewith Tailored Interactive Visualisations.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22 - 25, 2022, 2022

Explaining Recommendations in E-Learning: Effects on Adolescents' Trust.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Explaining Call Recommendations in Nursing Homes: a User-Centered Design Approach for Interacting with Knowledge-Based Health Decision Support Systems.
Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Designing Learning Analytics Dashboards: Lessons Learned.
Proceedings of the 14th International Conference on Computer Supported Education, 2022

Touching the Explanations: Explaining Movie Recommendation Scores in Mobile Augmented Reality.
Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2022

2021
Introducing Layers of Meaning (LoM): A Framework to Reduce Semantic Distance of Visualization In Humanistic Research.
IEEE Trans. Vis. Comput. Graph., 2021

Report on the 1st workshop on recommender systems for human resources (RecSys in HR 2021) at RecSys 2021.
SIGIR Forum, 2021

Trust in Prediction Models: a Mixed-Methods Pilot Study on the Impact of Domain Expertise.
CoRR, 2021

AHMoSe: A knowledge-based visual support system for selecting regression machine learning models.
Comput. Electron. Agric., 2021

Exploring Tangible Algorithmic Imaginaries in Movie Recommendations.
Proceedings of the TEI '21: Fifteenth International Conference on Tangible, 2021

Your Eyes Explain Everything: Exploring the Use of Eye Tracking to Provide Explanations On-the-fly.
Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

RecSys in HR: Workshop on Recommender Systems for Human Resources.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

A Teacher-facing Learning Analytics Dashboard for Process-oriented Feedback in Online Learning.
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021

Visual, textual or hybrid: the effect of user expertise on different explanations.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Classifeye: Classification of Personal Characteristics Based on Eye Tracking Data in a Recommender System Interface.
Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

Perception of Fairness in Group Music Recommender Systems.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

TIEVis: a Visual Analytics Dashboard for Temporal Information Extracted from Clinical Reports.
Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

A Systematic Review of the Effect of Gamification on Adherence Across Disciplines.
Proceedings of the HCI in Games: Experience Design and Game Mechanics, 2021

Towards Predicting Hexad User Types from Mobile Banking Data: An Expert Consensus Study.
Proceedings of the CHI PLAY '21: The Annual Symposium on Computer-Human Interaction in Play, 2021

2020
Interpretability of machine learning-based prediction models in healthcare.
WIREs Data Mining Knowl. Discov., 2020

Effects of personal characteristics in control-oriented user interfaces for music recommender systems.
User Model. User Adapt. Interact., 2020

Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube.
Proc. ACM Hum. Comput. Interact., 2020

Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation.
Comput. Hum. Behav., 2020

LADA: A learning analytics dashboard for academic advising.
Comput. Hum. Behav., 2020

Adoption and impact of a learning analytics dashboard supporting the advisor - Student dialogue in a higher education institute in Latin America.
Br. J. Educ. Technol., 2020

Adaptation and evaluation of a learning analytics dashboard to improve academic support at three Latin American universities.
Br. J. Educ. Technol., 2020

Coordinating learning analytics policymaking and implementation at scale.
Br. J. Educ. Technol., 2020

GaCoVi: a Correlation Visualization to Support Interpretability-Aware Feature Selection for Regression Models.
Proceedings of the 22nd Eurographics Conference on Visualization, 2020

Cogito ergo quid? The Effect of Cognitive Style in a Transparent Mobile Music Recommender System.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

What's in a User? Towards Personalising Transparency for Music Recommender Interfaces.
Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization, 2020

Foregrounding Algorithms: Preparing Users for Co-design with Sensitizing Activities.
Proceedings of the NordiCHI '20: Shaping Experiences, 2020

Learning analytics dashboards: the past, the present and the future.
Proceedings of the LAK '20: 10th International Conference on Learning Analytics and Knowledge, 2020

Motivational design techniques to support healthy eating habits at work.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020


Card-based approach to coordinate Learning Analytics policymaking and implementation at scale.
Proceedings of the Impact Papers at EC-TEL 2020, 2020

Tailoring Gamification for Adolescents: a Validation Study of Big Five and Hexad in Dutch.
Proceedings of the CHI PLAY '20: The Annual Symposium on Computer-Human Interaction in Play, 2020

Disambiguating Preferences for Gamification Strategies to Motivate Pro-Environmental Behaviour.
Proceedings of the CHI PLAY '20: The Annual Symposium on Computer-Human Interaction in Play, 2020

2019
Towards a visual guide for communicating uncertainty in Visual Analytics.
J. Comput. Lang., 2019

Guiding the choice of learning dashboard visualizations: Linking dashboard design and data visualization concepts.
J. Comput. Lang., 2019

IntersectionExplorer, a multi-perspective approach for exploring recommendations.
Int. J. Hum. Comput. Stud., 2019

A review of visualisations in agricultural decision support systems: An HCI perspective.
Comput. Electron. Agric., 2019

ContextPlay: Evaluating User Control for Context-Aware Music Recommendation.
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

To Explain or not to Explain: the Effects of Personal Characteristics when Explaining Feature-based Recommendations in Different Domains.
Proceedings of the 6th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 13th ACM Conference on Recommender Systems(RecSys 2019), 2019

Explaining and exploring job recommendations: a user-driven approach for interacting with knowledge-based job recommender systems.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Personal user interfaces for recommender systems.
Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019

To explain or not to explain: the effects of personal characteristics when explaining music recommendations.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

Supporting job mediator and job seeker through an actionable dashboard.
Proceedings of the 24th International Conference on Intelligent User Interfaces, 2019

"I Really Don't Know What 'Thumbs Up' Means": Algorithmic Experience in Movie Recommender Algorithms.
Proceedings of the Human-Computer Interaction - INTERACT 2019, 2019

Benefits and Trade-Offs of Different Model Representations in Decision Support Systems for Non-expert Users.
Proceedings of the Human-Computer Interaction - INTERACT 2019, 2019

Motivational Design Techniques to Increase Adherence to a Telemonitoring Therapy A Study with Adolescent Pectus Patients.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Designing Augmented Reality Applications for Personal Health Decision-Making.
Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

Age? It's in the Game: An Exploratory Study on Detection of Cognitive Aging through Card Games.
Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 2019

Tell Me What You Know: GDPR Implications on Designing Transparency and Accountability for News Recommender Systems.
Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

2018
Learning Analytics Dashboards to Support Adviser-Student Dialogue.
IEEE Trans. Learn. Technol., 2018

Controlling Spotify Recommendations: Effects of Personal Characteristics on Music Recommender User Interfaces.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Effects of Individual Traits on Diversity-Aware Music Recommender User Interfaces.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Effects of personal characteristics on music recommender systems with different levels of controllability.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

NAHR: a visual representation of social networks as support for art history research.
Proceedings of the 10th Nordic Conference on Human-Computer Interaction, Oslo, 2018

PHARA: an augmented reality grocery store assistant.
Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, 2018

A qualitative evaluation of a learning dashboard to support advisor-student dialogues.
Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Multi-institutional positioning test feedback dashboard for aspiring students: lessons learnt from a case study in flanders.
Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Open learner models and learning analytics dashboards: a systematic review.
Proceedings of the 8th International Conference on Learning Analytics and Knowledge, 2018

Gamification and Serious Games in a Healthcare Informatics Context.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

Low-Investment, Realistic-Return Business Cases for Learning Analytics Dashboards: Leveraging Usage Data and Microinteractions.
Proceedings of the Lifelong Technology-Enhanced Learning, 2018

Towards an Open Standard for Gameplay Metrics.
Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts, 2018

Real-Time Dashboards to Support eSports Spectating.
Proceedings of the Annual Symposium on Computer-Human Interaction in Play, 2018

2017
Review of Research on Student-Facing Learning Analytics Dashboards and Educational Recommender Systems.
IEEE Trans. Learn. Technol., 2017

How to Use Gamified Dashboards and Learning Analytics for Providing Immediate Student Feedback and Performance Tracking in Higher Education.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

How Do Different Levels of User Control Affect Cognitive Load and Acceptance of Recommendations?
Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017

PHARA: a Personal Health Augmented Reality Assistant to Support Decision-Making at Grocery Stores.
Proceedings of the 2nd International Workshop on Health Recommender Systems co-located with the 11th International Conference on Recommender Systems (RecSys 2017), 2017

IntersectionExplorer: the Flexibility of Multiple Perspectives.
Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2017), 2017

Trends and issues in student-facing learning analytics reporting systems research.
Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Supporting Conference Attendees with Visual Decision Making Interfaces.
Proceedings of the Companion Publication of the 22nd International Conference on Intelligent User Interfaces, 2017

MeViTa: Interactive Visualizations to Help Older Adults with Their Medication Intake Using a Camera-Projector System.
Proceedings of the Human-Computer Interaction - INTERACT 2017, 2017

MyHealthToday: Helping Patients with their Healthschedule Using a 24-Hour Clock Visualization.
Proceedings of the 2017 IEEE International Conference on Healthcare Informatics, 2017

Dashboard for Actionable Feedback on Learning Skills: Scalability and Usefulness.
Proceedings of the Learning and Collaboration Technologies. Technology in Education, 2017

Evaluating Student-Facing Learning Dashboards of Affective States.
Proceedings of the Data Driven Approaches in Digital Education, 2017

Dashboard for Actionable Feedback on Learning Skills: How Learner Profile Affects Use.
Proceedings of the 7th Workshop on Awareness and Reflection in Technology Enhanced Learning co-located with the 12th European Conference on Technology Enhanced Learning (EC-TEL 2017), 2017

Anthropomorphism-Based Focus Group Protocol to Select Gamification Mechanics.
Proceedings of the Positive Gaming: Workshop on Gamification and Games for Wellbeing co-located with the ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI PLAY 2017), 2017

2016
Recommender Systems for Health Informatics: State-of-the-Art and Future Perspectives.
Proceedings of the Machine Learning for Health Informatics, 2016

In Memoriam: Erik Duval 1965-2016.
IEEE Trans. Learn. Technol., 2016

Editorial: A Message from the Editorial Team and an Introduction to the January-March 2016 Issue.
IEEE Trans. Learn. Technol., 2016

Agents Vs. Users: Visual Recommendation of Research Talks with Multiple Dimension of Relevance.
ACM Trans. Interact. Intell. Syst., 2016

Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities.
Expert Syst. Appl., 2016

RAMLET: a Conceptual Model for Resource Aggregation for Learning, Education, and Training.
D Lib Mag., 2016

Scalable Exploration of Relevance Prospects to Support Decision Making.
Proceedings of the Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with ACM Conference on Recommender Systems (RecSys 2016), 2016

HCI for Recommender Systems: the Past, the Present and the Future.
Proceedings of the 10th ACM Conference on Recommender Systems, 2016

A Research Agenda for Managing Uncertainty in Visual Analytics.
Proceedings of the Mensch und Computer 2016, 2016

A Framework for Cognitive Bias Detection and Feedback in a Visual Analytics Environment.
Proceedings of the 2016 European Intelligence and Security Informatics Conference, 2016

CircleBuy: a visual search based second screen application of buying products in videos.
Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 2016

Faceted search on coordinated tablets and tabletop: a comparison.
Proceedings of the 8th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, 2016

Creating Effective Learning Analytics Dashboards: Lessons Learnt.
Proceedings of the Adaptive and Adaptable Learning, 2016

From Inaction to Interaction: Concept and Application of the Null Gesture.
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

Go With the Flow: Effects of Transparency and User Control on Targeted Advertising Using Flow Charts.
Proceedings of the International Working Conference on Advanced Visual Interfaces, 2016

2015
Panorama of Recommender Systems to Support Learning.
Proceedings of the Recommender Systems Handbook, 2015

Tracking Data in Open Learning Environments.
J. Univers. Comput. Sci., 2015

VISLA: visual aspects of learning analytics.
Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

2014
Analysis and Reflections on the Third Learning Analytics and Knowledge Conference (LAK 2013).
J. Learn. Anal., August, 2014

Learning dashboards: an overview and future research opportunities.
Pers. Ubiquitous Comput., 2014

2013
Recommender Systems for Learning
Springer Briefs in Electrical and Computer Engineering, Springer, ISBN: 978-1-4614-4361-2, 2013

Learning analytics as a "middle space".
Proceedings of the Third Conference on Learning Analytics and Knowledge, 2013

Addressing learner issues with StepUp!: an evaluation.
Proceedings of the Third Conference on Learning Analytics and Knowledge, 2013

Visualizing recommendations to support exploration, transparency and controllability.
Proceedings of the 18th International Conference on Intelligent User Interfaces, 2013

Layered Evaluation of Multi-Criteria Collaborative Filtering for Scientific Paper Recommendation.
Proceedings of the International Conference on Computational Science, 2013

Evaluating the Use of Open Badges in an Open Learning Environment.
Proceedings of the Scaling up Learning for Sustained Impact, 2013

2012
Context-Aware Recommender Systems for Learning: A Survey and Future Challenges.
IEEE Trans. Learn. Technol., 2012

Dataset-Driven Research to Support Learning and Knowledge Analytics.
J. Educ. Technol. Soc., 2012

Semi-automatic assembly of learning resources.
Comput. Educ., 2012

Recommender systems challenge 2012.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

Goal-oriented visualizations of activity tracking: a case study with engineering students.
Proceedings of the Second International Conference on Learning Analytics and Knowledge, 2012

1<sup>st</sup> International Workshop on Learning Analytics and Linked Data.
Proceedings of the Second International Conference on Learning Analytics and Knowledge, 2012

Empowering Students to Reflect on their Activity with StepUp!: Two Case Studies with Engineering Students.
Proceedings of the 2nd Workshop on Awareness and Reflection in Technology-Enhanced Learning, 2012

The student activity meter for awareness and self-reflection.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2012

2011
Dataset-driven research for improving recommender systems for learning.
Proceedings of the 1st International Conference on Learning Analytics and Knowledge, 2011

Evaluating the Student Activity Meter: Two Case Studies.
Proceedings of the Advances in Web-Based Learning - ICWL 2011, 2011

ErauzOnt: A Framework for Gathering Learning Objects from Electronic Documents.
Proceedings of the ICALT 2011, 2011

Towards Responsive Open Learning Environments: The ROLE Interoperability Framework.
Proceedings of the Towards Ubiquitous Learning, 2011

Towards an Open Learning Infrastructure for Open Educational Resources: Abundance as a Platform for Innovation.
Proceedings of the Rainbow of Computer Science, 2011

2010
Preface.
Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning, 2010

Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning.
Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning, 2010

enisontext-aware Recommender Systems.
J. Univers. Comput. Sci., 2010

User Context and Personalized Learning: a Federation of Contextualized Attention Metadata.
J. Univers. Comput. Sci., 2010

Collaborative Development of a PLE for Language Learning.
Int. J. Emerg. Technol. Learn., 2010

Workshop on recommender systems for technology enhanced learning.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Visualizing Activities for Self-reflection and Awareness.
Proceedings of the Advances in Web-Based Learning - ICWL 2010, 2010

2009
The Ariadne Infrastructure for Managing and Storing Metadata.
IEEE Internet Comput., 2009

A Methodology and Framework for the Semi-automatic Assembly of Learning Objects.
Proceedings of the Learning in the Synergy of Multiple Disciplines, 2009

2008
On the Role of Technical Standards for Learning Technologies.
IEEE Trans. Learn. Technol., 2008

ALOCOM: a generic content model for learning objects.
Int. J. Digit. Libr., 2008

The ALOCOM Framework: Towards Scalable Content Reuse.
J. Digit. Inf., 2008

Connecting the Dots: Music Metadata Generation, Schemas and Applications.
Proceedings of the ISMIR 2008, 2008

2007
Tracking Actual Usage: the Attention Metadata Approach.
J. Educ. Technol. Soc., 2007

Evaluating the ALOCOM Approach for Scalable Content Repurposing.
Proceedings of the Creating New Learning Experiences on a Global Scale, 2007

2005
Ontology-based learning content repurposing.
Proceedings of the 14th international conference on World Wide Web, 2005

Repurposing Learning Object Components.
Proceedings of the On the Move to Meaningful Internet Systems 2005: OTM 2005 Workshops, 2005

Ontology of Learning Object Content Structure.
Proceedings of the Artificial Intelligence in Education, 2005

2004
Towards a Global Component Architecture for Learning Objects: An Ontology Based Approach.
Proceedings of the On the Move to Meaningful Internet Systems 2004: OTM 2004 Workshops: OTM Confederated International Workshops and Posters, 2004


  Loading...