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Katrien Verbert

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affiliation: KU Leuven

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Books and Theses

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2013
[b1]
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Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Erik Duval:
Recommender Systems for Learning. Springer Briefs in Electrical and Computer Engineering, Springer 2013, ISBN 978-1-4614-4360-5, pp. i-xi, 1-76

Journal Articles

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2024
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Sohum Mandar Bhatt, Katrien Verbert, Wim van den Noortgate:
A Method for Developing Process-Based Assessments for Computational Thinking Tasks. J. Learn. Anal. 11(2): 157-173 (2024)
[j44]
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Sohum Mandar Bhatt, Wim van den Noortgate, Katrien Verbert:
Investigating the Use of Deep Learning and Implicit Feedback in K12 Educational Recommender Systems. IEEE Trans. Learn. Technol. 17: 112-123 (2024)
2023
[j43]
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Georgia Panagiotidou, Houda Lamqaddam, Jeroen Poblome, Koenraad Brosens, Katrien Verbert, Andrew Vande Moere:
Communicating Uncertainty in Digital Humanities Visualization Research. IEEE Trans. Vis. Comput. Graph. 29(1): 635-645 (2023)
2022
[j42]
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Houda Lamqaddam, Inez De Prekel, Koenraad Brosens, Katrien Verbert:
Perceptual Effects of Hierarchy in Art Historical Social Networks. Digit. Humanit. Q. 16(1) (2022)
[j41]
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Oscar Alvarado, Vero Vanden Abeele, David Geerts, Katrien Verbert:
Towards Tangible Algorithms: Exploring the Experiences of Tangible Interactions with Movie Recommender Algorithms. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-30 (2022)
[j40]
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Oscar Alvarado, Nyi Nyi Htun, Yucheng Jin, Katrien Verbert:
A Systematic Review of Interaction Design Strategies for Group Recommendation Systems. Proc. ACM Hum. Comput. Interact. 6(CSCW2): 1-51 (2022)
[j39]
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Ronald Pérez-Álvarez, Ioana Jivet, Mar Pérez-Sanagustín, Maren Scheffel, Katrien Verbert:
Tools Designed to Support Self-Regulated Learning in Online Learning Environments: A Systematic Review. IEEE Trans. Learn. Technol. 15(4): 508-522 (2022)
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Martijn Millecamp, Cristina Conati, Katrien Verbert:
"Knowing me, knowing you": personalized explanations for a music recommender system. User Model. User Adapt. Interact. 32(1-2): 215-252 (2022)
[j37]
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Jeroen Ooge, Gregor Stiglic, Katrien Verbert:
Explaining artificial intelligence with visual analytics in healthcare. WIREs Data Mining Knowl. Discov. 12(1) (2022)
2021
[j36]
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Diego Rojo, Nyi Nyi Htun, Denis Parra, Robin De Croon, Katrien Verbert:
AHMoSe: A knowledge-based visual support system for selecting regression machine learning models. Comput. Electron. Agric. 187: 106183 (2021)
[j35]
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David Graus, Toine Bogers, Mesut Kaya, Francisco Gutiérrez, Katrien Verbert:
Report on the 1st workshop on recommender systems for human resources (RecSys in HR 2021) at RecSys 2021. SIGIR Forum 55(2): 18:1-18:14 (2021)
[j34]
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Houda Lamqaddam, Andrew Vande Moere, Vero Vanden Abeele, Koenraad Brosens, Katrien Verbert:
Introducing Layers of Meaning (LoM): A Framework to Reduce Semantic Distance of Visualization In Humanistic Research. IEEE Trans. Vis. Comput. Graph. 27(2): 1084-1094 (2021)
2020
[j33]
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Tom Broos, Isabel Hilliger, Mar Pérez-Sanagustín, Nyi Nyi Htun, Martijn Millecamp, Paola Pesantez-Cabrera, Lizandro D. Solano-Quinde, Lorena Siguenza-Guzman, Miguel Zúñiga-Prieto, Katrien Verbert, Tinne De Laet:
Coordinating learning analytics policymaking and implementation at scale. Br. J. Educ. Technol. 51(4): 938-954 (2020)
[j32]
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Julio Guerra, Margarita Ortiz-Rojas, Miguel Ángel Zúñiga Prieto, Eliana Scheihing, Alberto Jiménez, Tom Broos, Tinne De Laet, Katrien Verbert:
Adaptation and evaluation of a learning analytics dashboard to improve academic support at three Latin American universities. Br. J. Educ. Technol. 51(4): 973-1001 (2020)
[j31]
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Tinne De Laet, Martijn Millecamp, Margarita Ortiz-Rojas, Alberto Jiménez, Ricardo Maya, Katrien Verbert:
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. 51(4): 1002-1018 (2020)
[j30]
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Gayane Sedrakyan, Jonna Malmberg, Katrien Verbert, Sanna Järvelä, Paul A. Kirschner:
Linking learning behavior analytics and learning science concepts: Designing a learning analytics dashboard for feedback to support learning regulation. Comput. Hum. Behav. 107: 105512 (2020)
[j29]
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Francisco Gutiérrez, Karsten Seipp, Xavier Ochoa, Katherine Chiluiza, Tinne De Laet, Katrien Verbert:
LADA: A learning analytics dashboard for academic advising. Comput. Hum. Behav. 107: 105826 (2020)
[j28]
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Oscar Alvarado, Hendrik Heuer, Vero Vanden Abeele, Andreas Breiter, Katrien Verbert:
Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube. Proc. ACM Hum. Comput. Interact. 4(CSCW2): 121:1-121:24 (2020)
[j27]
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Yucheng Jin, Nava Tintarev, Nyi Nyi Htun, Katrien Verbert:
Effects of personal characteristics in control-oriented user interfaces for music recommender systems. User Model. User Adapt. Interact. 30(2): 199-249 (2020)
[j26]
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Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar:
Interpretability of machine learning-based prediction models in healthcare. WIREs Data Mining Knowl. Discov. 10(5) (2020)
2019
[j25]
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Francisco Gutiérrez, Nyi Nyi Htun, Florian Schlenz, Aikaterini Kasimati, Katrien Verbert:
A review of visualisations in agricultural decision support systems: An HCI perspective. Comput. Electron. Agric. 163 (2019)
[j24]
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Bruno De Lemos Ribeiro Pinto Cardoso, Gayane Sedrakyan, Francisco Gutiérrez, Denis Parra, Peter Brusilovsky, Katrien Verbert:
IntersectionExplorer, a multi-perspective approach for exploring recommendations. Int. J. Hum. Comput. Stud. 121: 73-92 (2019)
[j23]
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Karsten Seipp, Francisco Gutiérrez, Xavier Ochoa, Katrien Verbert:
Towards a visual guide for communicating uncertainty in Visual Analytics. J. Comput. Lang. 50: 1-18 (2019)
[j22]
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Gayane Sedrakyan, Erik Mannens, Katrien Verbert:
Guiding the choice of learning dashboard visualizations: Linking dashboard design and data visualization concepts. J. Comput. Lang. 50: 19-38 (2019)
2018
[j21]
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Sven Charleer, Andrew Vande Moere, Joris Klerkx, Katrien Verbert, Tinne De Laet:
Learning Analytics Dashboards to Support Adviser-Student Dialogue. IEEE Trans. Learn. Technol. 11(3): 389-399 (2018)
2017
[j20]
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Robert G. Bodily, Katrien Verbert:
Review of Research on Student-Facing Learning Analytics Dashboards and Educational Recommender Systems. IEEE Trans. Learn. Technol. 10(4): 405-418 (2017)
2016
[j19]
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Katrien Verbert, Nancy Hoebelheinrich, Kerry Blinco, Scott Lewis, Wilbert Kraan:
RAMLET: a Conceptual Model for Resource Aggregation for Learning, Education, and Training. D Lib Mag. 22(3/4) (2016)
[j18]
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Chen He, Denis Parra, Katrien Verbert:
Interactive recommender systems: A survey of the state of the art and future research challenges and opportunities. Expert Syst. Appl. 56: 9-27 (2016)
[j17]
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Katrien Verbert, Denis Parra, Peter Brusilovsky:
Agents Vs. Users: Visual Recommendation of Research Talks with Multiple Dimension of Relevance. ACM Trans. Interact. Intell. Syst. 6(2): 11:1-11:42 (2016)
[j16]
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Peter Brusilovsky, Mike Sharples, Gustavo R. Alves, Tiffany Barnes, Sherry Y. Chen, Carol H. C. Chu, Hendrik Drachsler, Seiji Isotani, Euan Lindsay, Xavier Ochoa, Mykola Pechenizkiy, Ma. Mercedes T. Rodrigo, Cristóbal Romero, Sergey A. Sosnovsky, Stefaan Ternier, Katrien Verbert:
Editorial: A Message from the Editorial Team and an Introduction to the January-March 2016 Issue. IEEE Trans. Learn. Technol. 9(1): 1-4 (2016)
[j15]
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Katrien Verbert, Erik Duval:
In Memoriam: Erik Duval 1965-2016. IEEE Trans. Learn. Technol. 9(2): 105 (2016)
2015
[j14]
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José Luís Santos, Katrien Verbert, Joris Klerkx, Erik Duval, Sven Charleer, Stefaan Ternier:
Tracking Data in Open Learning Environments. J. Univers. Comput. Sci. 21(7): 976-996 (2015)
2014
[j13]
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Katrien Verbert, Sten Govaerts, Erik Duval, José Luís Santos, Frans Van Assche, Gonzalo Parra, Joris Klerkx:
Learning dashboards: an overview and future research opportunities. Pers. Ubiquitous Comput. 18(6): 1499-1514 (2014)
[j12]
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Xavier Ochoa, Dan Suthers, Katrien Verbert, Erik Duval:
Analysis and Reflections on the Third Learning Analytics and Knowledge Conference (LAK 2013). J. Learn. Anal. 1(2): 5-22 (2014)
2012
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Katrien Verbert, Xavier Ochoa, Michael Derntl, Martin Wolpers, Abelardo Pardo, Erik Duval:
Semi-automatic assembly of learning resources. Comput. Educ. 59(4): 1257-1272 (2012)
[j10]
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Katrien Verbert, Nikos Manouselis, Hendrik Drachsler, Erik Duval:
Dataset-Driven Research to Support Learning and Knowledge Analytics. J. Educ. Technol. Soc. 15(3): 133-148 (2012)
[j9]
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Katrien Verbert, Nikos Manouselis, Xavier Ochoa, Martin Wolpers, Hendrik Drachsler, Ivana Bosnic, Erik Duval:
Context-Aware Recommender Systems for Learning: A Survey and Future Challenges. IEEE Trans. Learn. Technol. 5(4): 318-335 (2012)
2010
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Dominik Renzel, Christina Höbelt, Daniel Dahrendorf, Martin Friedrich, Felix Mödritscher, Katrien Verbert, S. Goevaerts, Matthias Palmér, Evgeny Bogdanov:
Collaborative Development of a PLE for Language Learning. Int. J. Emerg. Technol. Learn. 5(S1): 31-40 (2010)
[j7]
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Katrien Verbert, Erik Duval, Stefanie N. Lindstaedt, Denis Gillet:
enisontext-aware Recommender Systems. J. Univers. Comput. Sci. 16(16): 2175-2178 (2010)
[j6]
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Valentin Butoianu, Philippe Vidal, Katrien Verbert, Erik Duval, Julien Broisin:
User Context and Personalized Learning: a Federation of Contextualized Attention Metadata. J. Univers. Comput. Sci. 16(16): 2252-2271 (2010)
2009
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Stefaan Ternier, Katrien Verbert, Gonzalo Parra, Bram Vandeputte, Joris Klerkx, Erik Duval, Vicente Ordonez, Xavier Ochoa:
The Ariadne Infrastructure for Managing and Storing Metadata. IEEE Internet Comput. 13(4): 18-25 (2009)
2008
[j4]
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Katrien Verbert, Xavier Ochoa, Erik Duval:
The ALOCOM Framework: Towards Scalable Content Reuse. J. Digit. Inf. 9(1) (2008)
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Katrien Verbert, Erik Duval:
ALOCOM: a generic content model for learning objects. Int. J. Digit. Libr. 9(1): 41-63 (2008)
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Erik Duval, Katrien Verbert:
On the Role of Technical Standards for Learning Technologies. IEEE Trans. Learn. Technol. 1(4): 229-234 (2008)
2007
[j1]
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Martin Wolpers, Jehad Najjar, Katrien Verbert, Erik Duval:
Tracking Actual Usage: the Attention Metadata Approach. J. Educ. Technol. Soc. 10(3): 106-121 (2007)

Conference and Workshop Papers

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2024
[c115]
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Jeroen Ooge, Joran De Braekeleer, Katrien Verbert:
Nudging Adolescents Towards Recommended Maths Exercises with Gameful Rewards. AIED (2) 2024: 328-335
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Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert:
EXMOS: Explanatory Model Steering through Multifaceted Explanations and Data Configurations. CHI 2024: 314:1-314:27
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Maxwell Szymanski, Vero Vanden Abeele, Katrien Verbert:
Designing and Evaluating Explanations for a Predictive Health Dashboard: A User-Centred Case Study. CHI Extended Abstracts 2024: 514:1-514:8
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Wout Vossen, Maxwell Szymanski, Katrien Verbert:
The effect of personalizing a psychotherapy conversational agent on therapeutic bond and usage intentions. IUI 2024: 761-771
[c111]
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Maxwell Szymanski, Jeroen Ooge, Robin De Croon, Vero Vanden Abeele, Katrien Verbert:
Feedback, Control, or Explanations? Supporting Teachers With Steerable Distractor-Generating AI. LAK 2024: 690-700
[c110]
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Aditya Bhattacharya, Simone Stumpf, Katrien Verbert:
An Explanatory Model Steering System for Collaboration between Domain Experts and AI. UMAP (Adjunct Publication) 2024
[c109]
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Aditya Bhattacharya, Simone Stumpf, Katrien Verbert:
Representation Debiasing of Generated Data Involving Domain Experts. UMAP (Adjunct Publication) 2024
[c108]
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Aditya Bhattacharya, Katrien Verbert:
"How Good Is Your Explanation?": Towards a Standardised Evaluation Approach for Diverse XAI Methods on Multiple Dimensions of Explainability. UMAP (Adjunct Publication) 2024
2023
[c107]
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Chetanya Puri, Stijn Keyaerts, Maxwell Szymanski, Lode Godderis, Katrien Verbert, Stijn Luca, Bart Vanrumste:
Daily Pain Prediction in Workplace Using Gaussian Processes. HEALTHINF 2023: 239-247
[c106]
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Houda Lamqaddam, Rudy Jos Beerens, Koenraad Brosens, Bruno Cardoso, Inez De Prekel, Frederik Truyen, Katlijne Van der Stighelen, Katrien Verbert, Margherita Fantoli:
From Tapestry to Data Visualisation: Networks of Collaboration in Project Cornelia. DH 2023
[c105]
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Maxwell Szymanski, Cristina Conati, Vero Vanden Abeele, Katrien Verbert:
Designing and Personalising Hybrid Multi-Modal Health Explanations for Lay Users. IntRS@RecSys 2023: 35-52
[c104]
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Jeroen Ooge, Leen Dereu, Katrien Verbert:
Steering Recommendations and Visualising Its Impact: Effects on Adolescents' Trust in E-Learning Platforms. IUI 2023: 156-170
[c103]
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Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic, Katrien Verbert:
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations. IUI 2023: 204-219
[c102]
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Ivania Donoso-Guzmán, Jeroen Ooge, Denis Parra, Katrien Verbert:
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI. xAI (3) 2023: 183-204
2022
[c101]
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Po-Kai Yang, Oscar Luis Alvarado Rodriguez, Francisco Gutiérrez, Katrien Verbert:
Touching the Explanations: Explaining Movie Recommendation Scores in Mobile Augmented Reality. AIVR 2022: 157-162
[c100]
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Katrien Verbert:
Designing Learning Analytics Dashboards: Lessons Learned. CSEDU (1) 2022: 9
[c99]
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Maxwell Szymanski, Vero Vanden Abeele, Katrien Verbert:
Explaining Health Recommendations to Lay Users: The Dos and Dont's. IUI Workshops 2022: 1-10
[c98]
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Jeroen Ooge, Shotallo Kato, Katrien Verbert:
Explaining Recommendations in E-Learning: Effects on Adolescents' Trust. IUI 2022: 93-105
[c97]
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Jeroen Ooge, Katrien Verbert:
Explaining Artificial Intelligencewith Tailored Interactive Visualisations. IUI Companion 2022: 120-123
[c96]
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Francisco Gutiérrez, Nyi Nyi Htun, Vero Vanden Abeele, Robin De Croon, Katrien Verbert:
Explaining Call Recommendations in Nursing Homes: a User-Centered Design Approach for Interacting with Knowledge-Based Health Decision Support Systems. IUI 2022: 162-172
[c95]
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Maxwell Szymanski, Katrien Verbert, Vero Vanden Abeele:
Designing and evaluating explainable AI for non-AI experts: challenges and opportunities. RecSys 2022: 735-736
2021
[c94]
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Robbe Kimpen, Robin De Croon, Vero Vanden Abeele, Katrien Verbert:
Towards Predicting Hexad User Types from Mobile Banking Data: An Expert Consensus Study. CHI PLAY 2021: 30-36
[c93]
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Robin De Croon, Jonas Geuens, Katrien Verbert, Vero Vanden Abeele:
A Systematic Review of the Effect of Gamification on Adherence Across Disciplines. HCI (28) 2021: 168-184
[c92]
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Robin De Croon, Artuur Leeuwenberg, Jan Aerts, Marie-Francine Moens, Vero Vanden Abeele, Katrien Verbert:
TIEVis: a Visual Analytics Dashboard for Temporal Information Extracted from Clinical Reports. IUI Companion 2021: 34-36
[c91]
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Maxwell Szymanski, Martijn Millecamp, Katrien Verbert:
Visual, textual or hybrid: the effect of user expertise on different explanations. IUI 2021: 109-119
[c90]
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Nyi Nyi Htun, Elisa Lecluse, Katrien Verbert:
Perception of Fairness in Group Music Recommender Systems. IUI 2021: 302-306
[c89]
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Martijn Millecamp, Cristina Conati, Katrien Verbert:
Classifeye: Classification of Personal Characteristics Based on Eye Tracking Data in a Recommender System Interface. IUI Workshops 2021
[c88]
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Raphael A. Dourado, Rodrigo Lins Rodrigues, Nivan Ferreira, Rafael Ferreira Mello, Alex Sandro Gomes, Katrien Verbert:
A Teacher-facing Learning Analytics Dashboard for Process-oriented Feedback in Online Learning. LAK 2021: 482-489
[c87]
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Martijn Millecamp, Toon Willemot, Katrien Verbert:
Your Eyes Explain Everything: Exploring the Use of Eye Tracking to Provide Explanations On-the-fly. IntRS@RecSys 2021: 89-100
[c86]
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Toine Bogers, David Graus, Mesut Kaya, Francisco Gutiérrez, Katrien Verbert:
RecSys in HR: Workshop on Recommender Systems for Human Resources. RecSys 2021: 799-802
[c85]
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Oscar Alvarado, Vero Vanden Abeele, David Geerts, Francisco Gutiérrez, Katrien Verbert:
Exploring Tangible Algorithmic Imaginaries in Movie Recommendations. TEI 2021: 12:1-12:12
2020
[c84]
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  - conf/chiplay/OogeCVA20
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Jeroen Ooge, Robin De Croon, Katrien Verbert, Vero Vanden Abeele:
Tailoring Gamification for Adolescents: a Validation Study of Big Five and Hexad in Dutch. CHI PLAY 2020: 206-218
[c83]
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Leen Van Houdt, Martijn Millecamp, Katrien Verbert, Vero Vanden Abeele:
Disambiguating Preferences for Gamification Strategies to Motivate Pro-Environmental Behaviour. CHI PLAY 2020: 241-253
[c82]
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Tom Broos, Martijn Millecamp, Katrien Verbert, Tinne De Laet:
Card-based approach to coordinate Learning Analytics policymaking and implementation at scale. EC-TEL (Impact Papers) 2020
[c81]
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Pedro J. Muñoz-Merino, Carlos Delgado Kloos, Yi-Shan Tsai, Dragan Gasevic, Katrien Verbert, Mar Pérez-Sanagustín, Isabel Hilliger, Miguel Ángel Zúñiga Prieto, Margarita Ortiz-Rojas, Eliana Scheihing:
An Overview of the LALA project (invited paper). LAUR@EC-TEL 2020: 1-5
[c80]
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Robin De Croon, Francisco Gutiérrez, Rachel Berry, Siân Astley, Katrien Verbert, Vero Vanden Abeele:
Motivational design techniques to support healthy eating habits at work. ICHI 2020: 1-3
[c79]
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  - conf/lak/VerbertOCDL20
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Katrien Verbert, Xavier Ochoa, Robin De Croon, Raphael A. Dourado, Tinne De Laet:
Learning analytics dashboards: the past, the present and the future. LAK 2020: 35-40
[c78]
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Oscar Alvarado, Elias Storms, David Geerts, Katrien Verbert:
Foregrounding Algorithms: Preparing Users for Co-design with Sensitizing Activities. NordiCHI 2020: 95:1-95:7
[c77]
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Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, Katrien Verbert:
What's in a User? Towards Personalising Transparency for Music Recommender Interfaces. UMAP 2020: 173-182
[c76]
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Martijn Millecamp, Robin Haveneers, Katrien Verbert:
Cogito ergo quid? The Effect of Cognitive Style in a Transparent Mobile Music Recommender System. UMAP 2020: 323-327
[c75]
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Diego Rojo, Nyi Nyi Htun, Katrien Verbert:
GaCoVi: a Correlation Visualization to Support Interpretability-Aware Feature Selection for Regression Models. EuroVis (Short Papers) 2020: 127-131
2019
[c74]
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Luciana Monteiro Krebs, Oscar Luis Alvarado Rodriguez, Pierre Dewitte, Jef Ausloos, David Geerts, Laurens Naudts, Katrien Verbert:
Tell Me What You Know: GDPR Implications on Designing Transparency and Accountability for News Recommender Systems. CHI Extended Abstracts 2019
[c73]
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Karsten Gielis, Katrien Verbert, Jos Tournoy, Vero Vanden Abeele:
Age? It's in the Game: An Exploratory Study on Detection of Cognitive Aging through Card Games. CHI PLAY 2019: 651-664
[c72]
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Yucheng Jin, Wanling Cai, Li Chen, Nyi Nyi Htun, Katrien Verbert:
MusicBot: Evaluating Critiquing-Based Music Recommenders with Conversational Interaction. CIKM 2019: 951-960
[c71]
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Francisco Gutiérrez, Nyi Nyi Htun, Sven Charleer, Robin De Croon, Katrien Verbert:
Designing Augmented Reality Applications for Personal Health Decision-Making. HICSS 2019: 1-10
[c70]
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Robin De Croon, Alemitu Mequanint Bezabih, Jonas Geuens, Davina Wildemeersch, Dries Oeyen, Katrien Verbert, Vero Vanden Abeele:
Motivational Design Techniques to Increase Adherence to a Telemonitoring Therapy A Study with Adolescent Pectus Patients. ICHI 2019: 1-12
[c69]
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Oscar Alvarado, Vero Vanden Abeele, David Geerts, Katrien Verbert:
"I Really Don't Know What 'Thumbs Up' Means": Algorithmic Experience in Movie Recommender Algorithms. INTERACT (3) 2019: 521-541
[c68]
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Francisco Gutiérrez, Xavier Ochoa, Karsten Seipp, Tom Broos, Katrien Verbert:
Benefits and Trade-Offs of Different Model Representations in Decision Support Systems for Non-expert Users. INTERACT (2) 2019: 576-597
[c67]
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Sven Charleer, Francisco Gutiérrez, Katrien Verbert:
Supporting job mediator and job seeker through an actionable dashboard. IUI 2019: 121-131
[c66]
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Martijn Millecamp, Katrien Verbert:
Personal user interfaces for recommender systems. IUI Companion 2019: 147-148
[c65]
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Martijn Millecamp, Nyi Nyi Htun, Cristina Conati, Katrien Verbert:
To explain or not to explain: the effects of personal characteristics when explaining music recommendations. IUI 2019: 397-407
[c64]
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Martijn Millecamp, Sidra Naveed, Katrien Verbert, Jürgen Ziegler:
To Explain or not to Explain: the Effects of Personal Characteristics when Explaining Feature-based Recommendations in Different Domains. IntRS@RecSys 2019: 10-18
[c63]
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Francisco Gutiérrez, Sven Charleer, Robin De Croon, Nyi Nyi Htun, Gerd Goetschalckx, Katrien Verbert:
Explaining and exploring job recommendations: a user-driven approach for interacting with knowledge-based job recommender systems. RecSys 2019: 60-68
[c62]
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Yucheng Jin, Nyi Nyi Htun, Nava Tintarev, Katrien Verbert:
ContextPlay: Evaluating User Control for Context-Aware Music Recommendation. UMAP 2019: 294-302
2018
[c61]
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Sven Charleer, Kathrin Gerling, Francisco Gutiérrez, Hans Cauwenbergh, Bram Luycx, Katrien Verbert:
Real-Time Dashboards to Support eSports Spectating. CHI PLAY 2018: 59-71
[c60]
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Sven Charleer, Francisco Gutiérrez, Kathrin Gerling, Katrien Verbert:
Towards an Open Standard for Gameplay Metrics. CHI PLAY (Companion) 2018: 399-406
[c59]
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Tom Broos, Katrien Verbert, Greet Langie, Carolien Van Soom, Tinne De Laet:
Low-Investment, Realistic-Return Business Cases for Learning Analytics Dashboards: Leveraging Usage Data and Microinteractions. EC-TEL 2018: 399-405
[c58]
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Robin De Croon, Davina Wildemeersch, Joris Wille, Katrien Verbert, Vero Vanden Abeele:
Gamification and Serious Games in a Healthcare Informatics Context. ICHI 2018: 53-63
[c57]
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  - conf/lak/BodilyKAJDXV18
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Robert G. Bodily, Judy Kay, Vincent Aleven, Ioana Jivet, Dan Davis, Franceska Xhakaj, Katrien Verbert:
Open learner models and learning analytics dashboards: a systematic review. LAK 2018: 41-50
[c56]
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Tom Broos, Katrien Verbert, Greet Langie, Carolien Van Soom, Tinne De Laet:
Multi-institutional positioning test feedback dashboard for aspiring students: lessons learnt from a case study in flanders. LAK 2018: 51-55
[c55]
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Martijn Millecamp, Francisco Gutiérrez, Sven Charleer, Katrien Verbert, Tinne De Laet:
A qualitative evaluation of a learning dashboard to support advisor-student dialogues. LAK 2018: 56-60
[c54]
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Francisco Gutiérrez, Katrien Verbert, Nyi Nyi Htun:
PHARA: an augmented reality grocery store assistant. MobileHCI Adjunct 2018: 339-345
[c53]
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Houda Lamqaddam, Jan Aerts, Koenraad Brosens, Katrien Verbert:
NAHR: a visual representation of social networks as support for art history research. NordiCHI 2018: 634-641
[c52]
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Yucheng Jin, Nava Tintarev, Katrien Verbert:
Effects of personal characteristics on music recommender systems with different levels of controllability. RecSys 2018: 13-21
[c51]
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Martijn Millecamp, Nyi Nyi Htun, Yucheng Jin, Katrien Verbert:
Controlling Spotify Recommendations: Effects of Personal Characteristics on Music Recommender User Interfaces. UMAP 2018: 101-109
[c50]
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Yucheng Jin, Nava Tintarev, Katrien Verbert:
Effects of Individual Traits on Diversity-Aware Music Recommender User Interfaces. UMAP 2018: 291-299
2017
[c49]
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Robin De Croon, Davina Wildemeersch, Joris Wille, Katrien Verbert, Vero Vanden Abeele:
Anthropomorphism-Based Focus Group Protocol to Select Gamification Mechanics. PGW@CHI PLAY 2017
[c48]
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Tom Broos, Laurie Peeters, Katrien Verbert, Carolien Van Soom, Greet Langie, Tinne De Laet:
Dashboard for Actionable Feedback on Learning Skills: How Learner Profile Affects Use. ARTEL@EC-TEL 2017
[c47]
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Gayane Sedrakyan, Derick Leony, Pedro J. Muñoz Merino, Carlos Delgado Kloos, Katrien Verbert:
Evaluating Student-Facing Learning Dashboards of Affective States. EC-TEL 2017: 224-237
[c46]
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Tom Broos, Laurie Peeters, Katrien Verbert, Carolien Van Soom, Greet Langie, Tinne De Laet:
Dashboard for Actionable Feedback on Learning Skills: Scalability and Usefulness. HCI (26) 2017: 229-241
[c45]
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Robin De Croon, Bruno De Lemos Ribeiro Pinto Cardoso, Katrien Verbert:
MyHealthToday: Helping Patients with their Healthschedule Using a 24-Hour Clock Visualization. ICHI 2017: 415-420
[c44]
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Robin De Croon, Bruno De Lemos Ribeiro Pinto Cardoso, Joris Klerkx, Vero Vanden Abeele, Katrien Verbert:
MeViTa: Interactive Visualizations to Help Older Adults with Their Medication Intake Using a Camera-Projector System. INTERACT (1) 2017: 132-152
[c43]
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Katrien Verbert, Peter Brusilovsky, Chirayu Wongchokprasitti, Denis Parra, Bruno De Lemos Ribeiro Pinto Cardoso:
Supporting Conference Attendees with Visual Decision Making Interfaces. IUI Companion 2017: 161-164
[c42]
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Robert G. Bodily, Katrien Verbert:
Trends and issues in student-facing learning analytics reporting systems research. LAK 2017: 309-318
[c41]
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Francisco Gutiérrez, Bruno De Lemos Ribeiro Pinto Cardoso, Katrien Verbert:
PHARA: a Personal Health Augmented Reality Assistant to Support Decision-Making at Grocery Stores. HealthRecSys@RecSys 2017: 10-13
[c40]
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Bruno De Lemos Ribeiro Pinto Cardoso, Peter Brusilovsky, Katrien Verbert:
IntersectionExplorer: the Flexibility of Multiple Perspectives. IntRS@RecSys 2017: 16-19
[c39]
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Yucheng Jin, Bruno De Lemos Ribeiro Pinto Cardoso, Katrien Verbert:
How Do Different Levels of User Control Affect Cognitive Load and Acceptance of Recommendations? IntRS@RecSys 2017: 35-42
[c38]
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Sara de Freitas, David C. Gibson, Victor Alvarez, Leah Irving, Kam Star, Sven Charleer, Katrien Verbert:
How to Use Gamified Dashboards and Learning Analytics for Providing Immediate Student Feedback and Performance Tracking in Higher Education. WWW (Companion Volume) 2017: 429-434
2016
[c37]
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Yucheng Jin, Karsten Seipp, Erik Duval, Katrien Verbert:
Go With the Flow: Effects of Transparency and User Control on Targeted Advertising Using Flow Charts. AVI 2016: 68-75
[c36]
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Karsten Seipp, Katrien Verbert:
From Inaction to Interaction: Concept and Application of the Null Gesture. CHI Extended Abstracts 2016: 525-540
[c35]
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Sven Charleer, Joris Klerkx, Erik Duval, Tinne De Laet, Katrien Verbert:
Creating Effective Learning Analytics Dashboards: Lessons Learnt. EC-TEL 2016: 42-56
[c34]
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Sven Charleer, Joris Klerkx, Erik Duval, Tinne De Laet, Katrien Verbert:
Faceted search on coordinated tablets and tabletop: a comparison. EICS 2016: 165-170
[c33]
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Yucheng Jin, Joris Klerkx, Katrien Verbert:
CircleBuy: a visual search based second screen application of buying products in videos. EICS 2016: 287-292
[c32]
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Alexander Nussbaumer, Katrien Verbert, Eva-Catherine Hillemann, Michael A. Bedek, Dietrich Albert:
A Framework for Cognitive Bias Detection and Feedback in a Visual Analytics Environment. EISIC 2016: 148-151
[c31]
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Karsten Seipp, Xavier Ochoa, Francisco Gutiérrez, Katrien Verbert:
A Research Agenda for Managing Uncertainty in Visual Analytics. MuC (Workshopband) 2016
[c30]
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Katrien Verbert, Karsten Seipp, Chen He, Denis Parra, Chirayu Wongchokprasitti, Peter Brusilovsky:
Scalable Exploration of Relevance Prospects to Support Decision Making. IntRS@RecSys 2016: 28-35
[c29]
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André Calero Valdez, Martina Ziefle, Katrien Verbert:
HCI for Recommender Systems: the Past, the Present and the Future. RecSys 2016: 123-126
2015
[c28]
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Erik Duval, Katrien Verbert, Joris Klerkx, Martin Wolpers, Abelardo Pardo, Sten Govaerts, Denis Gillet, Xavier Ochoa, Denis Parra:
VISLA: visual aspects of learning analytics. LAK 2015: 394-395
2013
[c27]
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José Luís Santos, Sven Charleer, Gonzalo Parra, Joris Klerkx, Erik Duval, Katrien Verbert:
Evaluating the Use of Open Badges in an Open Learning Environment. EC-TEL 2013: 314-327
[c26]
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Nikos Manouselis, Katrien Verbert:
Layered Evaluation of Multi-Criteria Collaborative Filtering for Scientific Paper Recommendation. ICCS 2013: 1189-1197
[c25]
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Katrien Verbert, Denis Parra, Peter Brusilovsky, Erik Duval:
Visualizing recommendations to support exploration, transparency and controllability. IUI 2013: 351-362
[c24]
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Dan Suthers, Katrien Verbert:
Learning analytics as a "middle space". LAK 2013: 1-4
[c23]
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José Luís Santos, Katrien Verbert, Sten Govaerts, Erik Duval:
Addressing learner issues with StepUp!: an evaluation. LAK 2013: 14-22
2012
[c22]
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Sten Govaerts, Katrien Verbert, Erik Duval, Abelardo Pardo:
The student activity meter for awareness and self-reflection. CHI Extended Abstracts 2012: 869-884
[c21]
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Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Olga C. Santos:
Preface. RecSysTEL@EC-TEL 2012: 1-6
[c20]
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José Luís Santos, Katrien Verbert, Erik Duval:
Empowering Students to Reflect on their Activity with StepUp!: Two Case Studies with Engineering Students. ARTEL@EC-TEL 2012: 73-86
[c19]
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Hendrik Drachsler, Stefan Dietze, Wolfgang Greller, Mathieu d'Aquin, Jelena Jovanovic, Abelardo Pardo, Wolfgang Reinhardt, Katrien Verbert:
1^st International Workshop on Learning Analytics and Linked Data. LAK 2012: 9-10
[c18]
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José Luís Santos, Sten Govaerts, Katrien Verbert, Erik Duval:
Goal-oriented visualizations of activity tracking: a case study with engineering students. LAK 2012: 143-152
[c17]
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Nikos Manouselis, Alan Said, Domonkos Tikk, Jannis Hermanns, Benjamin Kille, Hendrik Drachsler, Katrien Verbert, Kris Jack:
Recommender systems challenge 2012. RecSys 2012: 353-354
2011
[c16]
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  - conf/birthday/DuvalVK11
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Erik Duval, Katrien Verbert, Joris Klerkx:
Towards an Open Learning Infrastructure for Open Educational Resources: Abundance as a Platform for Innovation. Rainbow of Computer Science 2011: 144-156
[c15]
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Sten Govaerts, Katrien Verbert, Daniel Dahrendorf, Carsten Ullrich, Manuel Schmidt, Michael Werkle, Arunangsu Chatterjee, Alexander Nussbaumer, Dominik Renzel, Maren Scheffel, Martin Friedrich, José Luís Santos, Erik Duval, Effie Lai-Chong Law:
Towards Responsive Open Learning Environments: The ROLE Interoperability Framework. EC-TEL 2011: 125-138
[c14]
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Mikel Larrañaga, Inaki Calvo, Jon A. Elorriaga, Ana Arruarte Lasa, Katrien Verbert, Erik Duval:
ErauzOnt: A Framework for Gathering Learning Objects from Electronic Documents. ICALT 2011: 656-658
[c13]
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Sten Govaerts, Katrien Verbert, Erik Duval:
Evaluating the Student Activity Meter: Two Case Studies. ICWL 2011: 188-197
[c12]
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Katrien Verbert, Hendrik Drachsler, Nikos Manouselis, Martin Wolpers, Riina Vuorikari, Erik Duval:
Dataset-driven research for improving recommender systems for learning. LAK 2011: 44-53
2010
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Sten Govaerts, Katrien Verbert, Joris Klerkx, Erik Duval:
Visualizing Activities for Self-reflection and Awareness. ICWL 2010: 91-100
[c10]
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Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Olga C. Santos:
Workshop on recommender systems for technology enhanced learning. RecSys 2010: 377-378
[c9]
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Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Olga C. Santos:
Preface. RecSysTEL@RecSys 2010: 2773-2774
[c8]
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Hendrik Drachsler, Toine Bogers, Riina Vuorikari, Katrien Verbert, Erik Duval, Nikos Manouselis, Günter Beham, Stefanie N. Lindstaedt, Hermann Stern, Martin Friedrich, Martin Wolpers:
Issues and considerations regarding sharable data sets for recommender systems in technology enhanced learning. RecSysTEL@RecSys 2010: 2849-2858
2009
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Katrien Verbert, David A. Wiley, Erik Duval:
A Methodology and Framework for the Semi-automatic Assembly of Learning Objects. EC-TEL 2009: 757-762
2008
[c6]
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Nik Corthaut, Sten Govaerts, Katrien Verbert, Erik Duval:
Connecting the Dots: Music Metadata Generation, Schemas and Applications. ISMIR 2008: 249-254
2007
[c5]
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Katrien Verbert, Erik Duval:
Evaluating the ALOCOM Approach for Scalable Content Repurposing. EC-TEL 2007: 364-377
2005
[c4]
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Jelena Jovanovic, Dragan Gasevic, Katrien Verbert, Erik Duval:
Ontology of Learning Object Content Structure. AIED 2005: 322-329
[c3]
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Katrien Verbert, Jelena Jovanovic, Dragan Gasevic, Erik Duval:
Repurposing Learning Object Components. OTM Workshops 2005: 1169-1178
[c2]
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Katrien Verbert, Dragan Gasevic, Jelena Jovanovic, Erik Duval:
Ontology-based learning content repurposing. WWW (Special interest tracks and posters) 2005: 1140-1141
2004
[c1]
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Katrien Verbert, Joris Klerkx, Michael Meire, Jehad Najjar, Erik Duval:
Towards a Global Component Architecture for Learning Objects: An Ontology Based Approach. OTM Workshops 2004: 713-722

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2016
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André Calero Valdez, Martina Ziefle, Katrien Verbert, Alexander Felfernig, Andreas Holzinger:
Recommender Systems for Health Informatics: State-of-the-Art and Future Perspectives. Machine Learning for Health Informatics 2016: 391-414

Editorship

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2024
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Tommaso Di Noia, Pasquale Lops, Thorsten Joachims, Katrien Verbert, Pablo Castells, Zhenhua Dong, Ben London:
Proceedings of the 18th ACM Conference on Recommender Systems, RecSys 2024, Bari, Italy, October 14-18, 2024. ACM 2024, ISBN 979-8-4007-0505-2 [contents]
2021
[e12]
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Mesut Kaya, Toine Bogers, David Graus, Katrien Verbert, Francisco Gutiérrez:
Proceedings of the Workshop on Recommender Systems for Human Resources (RecSys in HR 2021) co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands, 27th September - 1st October 2021. CEUR Workshop Proceedings 2967, CEUR-WS.org 2021 [contents]
[e11]
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Tracy Hammond, Katrien Verbert, Dennis Parra, Bart P. Knijnenburg, John O'Donovan, Paul Teale:
IUI '21: 26th International Conference on Intelligent User Interfaces, College Station, TX, USA, April 13-17, 2021. ACM 2021, ISBN 978-1-4503-8017-1 [contents]
[e10]
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Tracy Hammond, Katrien Verbert, Dennis Parra:
IUI '21: 26th International Conference on Intelligent User Interfaces, College Station, TX, USA, April 13-17, 2021, Companion. ACM 2021, ISBN 978-1-4503-8018-8 [contents]
2020
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Pedro J. Muñoz Merino, Carlos Delgado Kloos, Yi-Shan Tsai, Dragan Gasevic, Katrien Verbert, Mar Pérez-Sanagustín, Isabel Hilliger, Miguel Ángel Zúñiga Prieto, Margarita Ortiz-Rojas, Eliana Scheihing:
Proceedings of the Workshop on Adoption, Adaptation and Pilots of Learning Analytics in Under-represented Regions co-located with the 15th European Conference on Technology Enhanced Learning 2020 (ECTEL 2020), Online, September, 14 & 15, 2020. CEUR Workshop Proceedings 2704, CEUR-WS.org 2020 [contents]
2017
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Élise Lavoué, Hendrik Drachsler, Katrien Verbert, Julien Broisin, Mar Pérez-Sanagustín:
Data Driven Approaches in Digital Education - 12th European Conference on Technology Enhanced Learning, EC-TEL 2017, Tallinn, Estonia, September 12-15, 2017, Proceedings. Lecture Notes in Computer Science 10474, Springer 2017, ISBN 978-3-319-66609-9 [contents]
2016
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Katrien Verbert, Mike Sharples, Tomaz Klobucar:
Adaptive and Adaptable Learning - 11th European Conference on Technology Enhanced Learning, EC-TEL 2016, Lyon, France, September 13-16, 2016, Proceedings. Lecture Notes in Computer Science 9891, Springer 2016, ISBN 978-3-319-45152-7 [contents]
2015
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Kaska Porayska-Pomsta, Katrien Verbert:
Workshops Proceedings of EDM 2015 8th International Conference on Educational Data Mining, EDM 2015, Madrid, Spain, June 26-29, 2015. CEUR Workshop Proceedings 1446, CEUR-WS.org 2015 [contents]
[e5]
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Erik Duval, Katrien Verbert, Joris Klerkx, Martin Wolpers, Abelardo Pardo, Sten Govaerts, Denis Gillet, Xavier Ochoa, Denis Parra:
Proceedings of the First International Workshop on Visual Aspects of Learning Analytics co-located with 5th International Learning Analytics and Knowledge Conference (LAK 2015), Poughkeepsie, NY, USA, March 16-20, 2015. CEUR Workshop Proceedings 1518, CEUR-WS.org 2015 [contents]
2014
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Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Olga C. Santos:
Recommender Systems for Technology Enhanced Learning. Springer New York 2014, ISBN 978-1-4939-0529-4 [contents]
2013
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Dan Suthers, Katrien Verbert:
Third Conference on Learning Analytics and Knowledge, LAK '13, Leuven, Belgium, April 8-12, 2013. ACM 2013, ISBN 978-1-4503-1785-6 [contents]
2012
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Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Olga C. Santos:
Proceedings of the 2nd Workshop on Recommender Systems in Technology Enhanced Learning 2012, Saarbrücken, Germany, September 18-19, 2012. CEUR Workshop Proceedings 896, CEUR-WS.org 2012 [contents]
2010
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Nikos Manouselis, Hendrik Drachsler, Katrien Verbert, Olga C. Santos:
Proceedings of the 1st Workshop on Recommender Systems for Technology Enhanced Learning, RecSysTEL 2010, Barcelona, Spain, September 29-30, 2010. Procedia Computer Science 1(2), Elsevier 2010 [contents]

Reference Works

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2015
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Hendrik Drachsler, Katrien Verbert, Olga C. Santos, Nikos Manouselis:
Panorama of Recommender Systems to Support Learning. Recommender Systems Handbook 2015: 421-451

Informal and Other Publications

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2024
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Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert:
EXMOS: Explanatory Model Steering Through Multifaceted Explanations and Data Configurations. CoRR abs/2402.00491 (2024)
[i12]
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Aditya Bhattacharya, Simone Stumpf, Katrien Verbert:
An Explanatory Model Steering System for Collaboration between Domain Experts and AI. CoRR abs/2405.13038 (2024)
[i11]
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Diego Rojo, Houda Lamqaddam, Lucija Gosak, Katrien Verbert:
Petal-X: Human-Centered Visual Explanations to Improve Cardiovascular Risk Communication. CoRR abs/2406.18690 (2024)
[i10]
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Aditya Bhattacharya, Simone Stumpf, Katrien Verbert:
Representation Debiasing of Generated Data Involving Domain Experts. CoRR abs/2407.09485 (2024)
2023
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Aditya Bhattacharya, Jeroen Ooge, Gregor Stiglic, Katrien Verbert:
Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations. CoRR abs/2302.10671 (2023)
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Jeroen Ooge, Leen Dereu, Katrien Verbert:
Steering Recommendations and Visualising Its Impact: Effects on Adolescents' Trust in E-Learning Platforms. CoRR abs/2303.00098 (2023)
[i7]
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Ivania Donoso-Guzmán, Jeroen Ooge, Denis Parra, Katrien Verbert:
Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI. CoRR abs/2308.06274 (2023)
[i6]
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Aditya Bhattacharya, Simone Stumpf, Lucija Gosak, Gregor Stiglic, Katrien Verbert:
Lessons Learned from EXMOS User Studies: A Technical Report Summarizing Key Takeaways from User Studies Conducted to Evaluate The EXMOS Platform. CoRR abs/2310.02063 (2023)
2022
[i5]
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Houda Lamqaddam, Inez De Prekel, Koenraad Brosens, Katrien Verbert:
Perceptual Effects of Hierarchy in Art Historical Social Networks. CoRR abs/2201.09392 (2022)
2021
[i4]
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Diego Rojo, Nyi Nyi Htun, Denis Parra, Robin De Croon, Katrien Verbert:
AHMoSe: A Knowledge-Based Visual Support System for Selecting Regression Machine Learning Models. CoRR abs/2101.11970 (2021)
[i3]
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  - journals/corr/abs-2109-08183
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Jeroen Ooge, Katrien Verbert:
Trust in Prediction Models: a Mixed-Methods Pilot Study on the Impact of Domain Expertise. CoRR abs/2109.08183 (2021)
2020
[i2]
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  - journals/corr/abs-2002-08596
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Gregor Stiglic, Primoz Kocbek, Nino Fijacko, Marinka Zitnik, Katrien Verbert, Leona Cilar:
Interpretability of machine learning based prediction models in healthcare. CoRR abs/2002.08596 (2020)
[i1]
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  - journals/corr/abs-2008-03202
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Oscar Alvarado, Hendrik Heuer, Vero Vanden Abeele, Andreas Breiter, Katrien Verbert:
Middle-Aged Video Consumers' Beliefs About Algorithmic Recommendations on YouTube. CoRR abs/2008.03202 (2020)

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