Artiklar med krav på offentlig åtkomst - Roger AzevedoLäs mer
Inte tillgängliga någonstans: 27
Defining and measuring engagement and learning in science: Conceptual, theoretical, methodological, and analytical issues
R Azevedo
Educational psychologist 50 (1), 84-94, 2015
Krav: US Institute of Education Sciences
Understanding and reasoning about real-time cognitive, affective, and metacognitive processes to foster self-regulation with advanced learning technologies
R Azevedo, M Taub, NV Mudrick
Handbook of self-regulation of learning and performance, 254-270, 2017
Krav: US National Science Foundation, Social Sciences and Humanities Research …
Integrating metacognitive judgments and eye movements using sequential pattern mining to understand processes underlying multimedia learning
NV Mudrick, R Azevedo, M Taub
Computers in Human Behavior 96, 223-234, 2019
Krav: US National Science Foundation
Cognitive tools for medical informatics
SP Lajoie, R Azevedo
Computers as cognitive tools, 247-271, 2020
Krav: Social Sciences and Humanities Research Council, Canada
Interdisciplinary research methods used to investigate emotions with advanced learning technologies
R Azevedo, M Taub, N Mudrick, J Farnsworth, SA Martin
Methodological advances in research on emotion and education, 231-243, 2016
Krav: US National Science Foundation, US Institute of Education Sciences, Natural …
10 Metacognition in Multimedia Learning
R Azevedo, D Dever
Krav: US National Science Foundation, Social Sciences and Humanities Research …
The role of negative emotions and emotion regulation on self-regulated learning with metatutor
MJ Price, NV Mudrick, M Taub, R Azevedo
Intelligent Tutoring Systems: 14th International Conference, ITS 2018 …, 2018
Krav: US National Science Foundation, Social Sciences and Humanities Research …
Coupling between metacognition and emotions during STEM learning with advanced learning technologies: a critical analysis, implications for future research, and design of …
R Azevedo, N Mudrick, M Taub, F Wortha
Teachers College Record 119 (13), 2017
Krav: US National Science Foundation
Theories of metacognition and pedagogy applied to AIED systems
R Azevedo, M Wiedbusch
Handbook of artificial intelligence in education, 45-67, 2023
Krav: US National Science Foundation
The impact of student individual differences and visual attention to pedagogical agents during learning with MetaTutor
S Lallé, M Taub, NV Mudrick, C Conati, R Azevedo
Artificial Intelligence in Education: 18th International Conference, AIED …, 2017
Krav: US National Science Foundation, Social Sciences and Humanities Research …
The challenge of measuring processes and outcomes while learning from multiple representations with advanced learning technologies
R Azevedo, M Taub
Handbook of learning from multiple representations and perspectives, 532-553, 2020
Krav: US National Science Foundation, Social Sciences and Humanities Research …
Modeling metacomprehension monitoring accuracy with eye gaze on informational content in a multimedia learning environment
MD Wiedbusch, R Azevedo
ACM symposium on eye tracking research and applications, 1-9, 2020
Krav: US National Science Foundation
Using eye-tracking to determine the impact of prior knowledge on self-regulated learning with an adaptive hypermedia-learning environment
M Taub, R Azevedo
Intelligent Tutoring Systems: 13th International Conference, ITS 2016 …, 2016
Krav: US National Science Foundation
Investigating the role of goal orientation: metacognitive and cognitive strategy use and learning with intelligent tutoring systems
EB Cloude, M Taub, R Azevedo
Intelligent Tutoring Systems: 14th International Conference, ITS 2018 …, 2018
Krav: US National Science Foundation, Social Sciences and Humanities Research …
Predicting co-occurring emotions from eye-tracking and interaction data in MetaTutor
S Lallé, R Murali, C Conati, R Azevedo
International Conference on Artificial Intelligence in Education, 241-254, 2021
Krav: US National Science Foundation, Natural Sciences and Engineering Research …
Pedagogical agent support and its relationship to learners’ self-regulated learning strategy use with an intelligent tutoring system
DA Dever, NA Sonnenfeld, MD Wiedbusch, R Azevedo
International conference on artificial intelligence in education, 332-343, 2022
Krav: US National Science Foundation
Revealing data feature differences between system-and learner-initiated self-regulated learning processes within hypermedia
M Wiedbusch, D Dever, F Wortha, EB Cloude, R Azevedo
International Conference on Human-Computer Interaction, 481-495, 2021
Krav: US National Science Foundation, Social Sciences and Humanities Research …
How do different levels of AU4 impact metacognitive monitoring during learning with intelligent tutoring systems?
M Taub, R Azevedo, NV Mudrick
Intelligent Tutoring Systems: 14th International Conference, ITS 2018 …, 2018
Krav: US National Science Foundation, Social Sciences and Humanities Research …
Goals matter: changes in metacognitive judgments and their relation to motivation and learning with an intelligent tutoring system
EB Cloude, F Wortha, MD Wiedbusch, R Azevedo
International Conference on Human-Computer Interaction, 224-238, 2021
Krav: US National Science Foundation, Social Sciences and Humanities Research …
The role of pedagogical agents on learning: issues and trends
M Taub, SA Martin, R Azevedo, NV Mudrick
Handbook of Research on 3-D Virtual Environments and Hypermedia for …, 2016
Krav: US National Science Foundation, US Institute of Education Sciences
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