Cristina Conati

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Giuseppe CareniniProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Kurt VanLehnProfessor of Computer Science, Arizona State UniversityVerified email at asu.edu
Sébastien LalléLIP6, Sorbonne UniversityVerified email at lip6.fr
Ben SteichenAssociate Professor, California State Polytechnic University, PomonaVerified email at cpp.edu
Andrea BuntComputer Science, University of ManitobaVerified email at cs.umanitoba.ca
Abigail GertnerThe MITRE CorporationVerified email at mitre.org
Samad KardanPhD, University of British ColumbiaVerified email at cs.ubc.ca
Saleema AmershiMicrosoft ResearchVerified email at microsoft.com
Kasia MuldnerCarleton UniversityVerified email at carleton.ca
Roger AzevedoUniversity of Central FloridaVerified email at ucf.edu
Kaśka Porayska-PomstaProfessor of Artificial Intelligence in Education, UCL Knowledge Lab, UCL Institute of EducationVerified email at ucl.ac.uk
Oswald BarralHealthQB TechnologiesVerified email at yourhealthqb.com
Joanna McGrenereProfessor, University of British ColumbiaVerified email at cs.ubc.ca
Enamul Hoque PrinceAssistant Professor, York UniversityVerified email at yorku.ca
Martijn MillecampPostdoctoral researcher, KU LeuvenVerified email at kuleuven.be
Katrien VerbertProfessor, KU LeuvenVerified email at cs.kuleuven.be
Roberto Martinez-MaldonadoSenior Lecturer, Monash University, AustraliaVerified email at monash.edu
Simon J. Buckingham ShumProfessor of Learning Informatics, University of Technology Sydney, AUSVerified email at uts.edu.au
Marek J. DruzdzelBialystok University of TechnologyVerified email at pb.edu.pl
Manolis MavrikisProfessor in Artificial Intelligence and Analytics in Education, UCL Knowledge LabVerified email at ucl.ac.uk

Cristina Conati

Professor of Computer Science, University of British Columbia

Verified email at cs.ubc.ca - Homepage

Artificial Intelligence Human-Centred AI AI-driven personalization Affective Computing Intelligent Tutoring Systems


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Using Bayesian networks to manage uncertainty in student modeling C Conati, A Gertner, K Vanlehn User modeling and user-adapted interaction 12, 371-417, 2002	756	2002
Probabilistic assessment of user's emotions in educational games C Conati Applied artificial intelligence 16 (7-8), 555-575, 2002	712	2002
On-line student modeling for coached problem solving using Bayesian networks C Conati, AS Gertner, K VanLehn, MJ Druzdzel User Modeling: Proceedings of the Sixth International Conference UM97 Chia …, 1997	451	1997
Empirically building and evaluating a probabilistic model of user affect C Conati, H Maclaren User Modeling and User-Adapted Interaction 19, 267-303, 2009	402	2009
Toward computer-based support of meta-cognitive skills: A computational framework to coach self-explanation C Conati, K Vanlehn International Journal of Artificial Intelligence in Education (IJAIED) 11 …, 2000	372	2000
Procedural help in Andes: Generating hints using a Bayesian network student model AS Gertner, C Conati, K VanLehn Aaai/Iaai 1998, 106-11, 1998	246	1998
Building and evaluating an intelligent pedagogical agent to improve the effectiveness of an educational game C Conati, X Zhao Proceedings of the 9th international conference on Intelligent user …, 2004	230	2004
Combining unsupervised and supervised classification to build user models for exploratory learning environments S Amershi, C Conati Journal of educational data mining 1 (1), 18-71, 2009	222	2009
Modeling students’ emotions from cognitive appraisal in educational games C Conati, X Zhou International Conference on Intelligent Tutoring Systems, 944-954, 2002	212	2002
Eye-tracking for user modeling in exploratory learning environments: An empirical evaluation C Conati, C Merten Knowledge-Based Systems 20 (6), 557-574, 2007	191	2007
Individual user characteristics and information visualization: connecting the dots through eye tracking D Toker, C Conati, B Steichen, G Carenini proceedings of the SIGCHI Conference on Human Factors in Computing Systems …, 2013	182	2013
User-adaptive information visualization: using eye gaze data to infer visualization tasks and user cognitive abilities B Steichen, G Carenini, C Conati Proceedings of the 2013 international conference on Intelligent user …, 2013	182	2013
Predicting affect from gaze data during interaction with an intelligent tutoring system N Jaques, C Conati, JM Harley, R Azevedo Intelligent Tutoring Systems: 12th International Conference, ITS 2014 …, 2014	167	2014
Probabilistic student modelling to improve exploratory behaviour A Bunt, C Conati User Modeling and User-Adapted Interaction 13, 269-309, 2003	149	2003
Supporting interface customization using a mixed-initiative approach A Bunt, C Conati, J McGrenere Proceedings of the 12th international conference on Intelligent user …, 2007	131	2007
AI in Education needs interpretable machine learning: Lessons from Open Learner Modelling C Conati, K Porayska-Pomsta, M Mavrikis arXiv preprint arXiv:1807.00154, 2018	123	2018
Intelligent tutoring systems: New challenges and directions C Conati Twenty-first international joint conference on artificial intelligence, 2009	123	2009
To explain or not to explain: the effects of personal characteristics when explaining music recommendations M Millecamp, NN Htun, C Conati, K Verbert Proceedings of the 24th International Conference on Intelligent User …, 2019	121	2019
Data-driven refinement of a probabilistic model of user affect C Conati, H Maclaren International Conference on User Modeling, 40-49, 2005	119	2005
Explainable artificial intelligence in education H Khosravi, SB Shum, G Chen, C Conati, YS Tsai, J Kay, S Knight, ... Computers and Education: Artificial Intelligence 3, 100074, 2022	118	2022

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