2020 article

Multimodal learning analytics for game-based learning

BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY.

By: A. Emerson, E. Cloude, R. Azevedo & J. Lester

Source: Web Of Science
Added: July 20, 2020

2019 journal article

Are Visual Search Patterns Predictive of Hazard Recognition Performance? Empirical Investigation Using Eye-Tracking Technology

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 145(1).

By: I. Jeelani, A. Albert, K. Han & R. Azevedo

Source: NC State University Libraries
Added: December 3, 2018

2019 journal article

How Does Prior Knowledge Influence Eye Fixations and Sequences of Cognitive and Metacognitive SRL Processes during Learning with an Intelligent Tutoring System?

INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 29(1), 1–28.

By: M. Taub & R. Azevedo

Source: Web Of Science
Added: June 4, 2019

2019 journal article

Integrating metacognitive judgments and eye movements using sequential pattern mining to understand processes underlying multimedia learning

COMPUTERS IN HUMAN BEHAVIOR, 96, 223–234.

By: N. Mudrick, R. Azevedo & M. Taub

Source: Web Of Science
Added: June 17, 2019

2019 article

The Role of Achievement Goal Orientation on Metacognitive Process Use in Game-Based Learning

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2019, PT II, pp. 36–40.

By: E. Cloude, M. Taub, J. Lester & R. Azevedo

Source: Web Of Science
Added: December 2, 2019

2018 journal article

"Let's set up some subgoals": Understanding human-pedagogical agent collaborations and their implications for learning and prompt and feedback compliance

IEEE Transactions on Learning Technologies, 11(1), 54–66.

By: J. Harley, M. Taub, R. Azevedo & F. Bouchet

Source: NC State University Libraries
Added: August 6, 2018

2018 conference paper

Changes in Emotion and Their Relationship with Learning Gains in the Context of MetaTutor

INTELLIGENT TUTORING SYSTEMS, ITS 2018, 10858, 202–211.

By: J. Sinclair, E. Jang, R. Azevedo, C. Lau, M. Taub & N. Mudrick

Source: NC State University Libraries
Added: November 26, 2018

2018 conference paper

Evaluating Adaptive Pedagogical Agents' Prompting Strategies Effect on Students' Emotions

INTELLIGENT TUTORING SYSTEMS, ITS 2018, 10858, 33–43.

By: F. Bouchet, J. Harley & R. Azevedo

Source: NC State University Libraries
Added: November 26, 2018

2018 article

Gaze-Enhanced Student Modeling for Game-based Learning

PROCEEDINGS OF THE 26TH CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION (UMAP'18), pp. 63–72.

By: A. Emerson, R. Sawyer, R. Azevedo & J. Lester

Source: Web Of Science
Added: April 2, 2019

2018 conference paper

How Are Students' Emotions Associated with the Accuracy of Their Note Taking and Summarizing During Learning with ITSs?

INTELLIGENT TUTORING SYSTEMS, ITS 2018, 10858, 233–242.

By: M. Taub, N. Mudrick, R. Rajendran, Y. Dong, G. Biswas & R. Azevedo

Source: NC State University Libraries
Added: November 26, 2018

2018 conference paper

How Do Different Levels of AU4 Impact Metacognitive Monitoring During Learning with Intelligent Tutoring Systems?

INTELLIGENT TUTORING SYSTEMS, ITS 2018, 10858, 223–232.

By: M. Taub, R. Azevedo & N. Mudrick

Source: NC State University Libraries
Added: November 26, 2018

2018 conference paper

Identifying How Metacognitive Judgments Influence Student Performance During Learning with MetaTutorIVH

INTELLIGENT TUTORING SYSTEMS, ITS 2018, 10858, 140–149.

By: N. Mudrick, R. Sawyer, M. Price, J. Lester, C. Roberts & R. Azevedo

Source: NC State University Libraries
Added: November 26, 2018

2018 conference paper

Investigating the Role of Goal Orientation: Metacognitive and Cognitive Strategy Use and Learning with Intelligent Tutoring Systems

INTELLIGENT TUTORING SYSTEMS, ITS 2018, 10858, 44–53.

By: E. Cloude, M. Taub & R. Azevedo

Source: NC State University Libraries
Added: November 26, 2018

2018 conference paper

The Role of Negative Emotions and Emotion Regulation on Self-Regulated Learning with MetaTutor

INTELLIGENT TUTORING SYSTEMS, ITS 2018, 10858, 170–179.

By: M. Price, N. Mudrick, M. Taub & R. Azevedo

Source: NC State University Libraries
Added: November 26, 2018

2018 journal article

Using sequence mining to reveal the efficiency in scientific reasoning during STEM learning with a game-based learning environment

Learning and Instruction, 54, 93–103.

By: M. Taub, R. Azevedo, A. Bradbury, G. Millar & J. Lester

Source: NC State University Libraries
Added: August 6, 2018

2017 journal article

Development and testing of a personalized hazard-recognition training intervention

Journal of Construction Engineering and Management, 143(5).

By: I. Jeelani, A. Albert, R. Azevedo & E. Jaselskis

Source: NC State University Libraries
Added: August 6, 2018

2017 conference paper

Emotion recognition with facial expressions and physiological signals

2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1170–1177.

By: B. Zhong, Z. Qin, S. Yang, J. Chen, N. Mudrick, M. Taub, R. Azevedo, E. Lobaton

Source: NC State University Libraries
Added: August 6, 2018

2017 conference paper

The impact of student individual differences and visual attention to pedagogical agents during learning with metatutor

Artificial intelligence in education, aied 2017, 10331, 149–161.

By: S. Lalle, M. Taub, N. Mudrick, C. Conati & R. Azevedo

Source: NC State University Libraries
Added: August 6, 2018

2017 conference paper

Toward affect-sensitive virtual human tutors: The influence of facial expressions on learning and emotion

International conference on affective computing and intelligent, 184–189.

By: N. Mudrick, M. Taub, R. Azevedo, J. Rowe & J. Lester

Source: NC State University Libraries
Added: August 6, 2018

2017 journal article

Using multi-channel data with multi-level modeling to assess in-game performance during gameplay with CRYSTAL ISLAND

Computers in Human Behavior, 76, 641–655.

Source: NC State University Libraries
Added: August 6, 2018

2016 conference paper

Are pedagogical agents' external regulation effective in fostering learning with intelligent tutoring systems?

Intelligent tutoring systems, its 2016, 0684, 197–207.

By: R. Azevedo, S. Martin, M. Taub, N. Mudrick, G. Millar & J. Grafsgaard

Source: NC State University Libraries
Added: August 6, 2018

2016 conference paper

Can adaptive pedagogical agents' prompting strategies improve students' learning and self-regulation?

Intelligent tutoring systems, its 2016, 0684, 368–374.

By: F. Bouchet, J. Harley & R. Azevedo

Source: NC State University Libraries
Added: August 6, 2018

2016 journal article

Examining the predictive relationship between personality and emotion traits and students' agent-directed emotions: Towards emotionally-adaptive agent-based learning environments

User Modeling and User-Adapted Interaction, 26(2-3), 177–219.

By: J. Harley, C. Carter, N. Papaionnou, F. Bouchet, R. Landis, R. Azevedo, L. Karabachian

Source: NC State University Libraries
Added: August 6, 2018

2016 journal article

Self-regulated learning processes vary as a function of epistemic beliefs and contexts: Mixed method evidence from eye tracking and concurrent and retrospective reports

Learning and Instruction, 42, 31–46.

By: G. Trevors, R. Feyzi-Behnagh, R. Azevedo & F. Bouchet

Source: NC State University Libraries
Added: August 6, 2018

2016 conference paper

Using eye-tracking to determine the impact of prior knowledge on self-regulated learning with an adaptive hypermedia-learning environment

Intelligent tutoring systems, its 2016, 0684, 34–47.

By: M. Taub & R. Azevedo

Source: NC State University Libraries
Added: August 6, 2018

2016 conference paper

Using multi-channel data to assess, understand, and support affect and metacognition with intelligent tutoring systems

Intelligent tutoring systems, its 2016, 0684, 543–544.

By: M. Taub & R. Azevedo

Source: NC State University Libraries
Added: August 6, 2018

2016 conference paper

Using multi-level modeling with eye-tracking data to predict metacognitive monitoring and self-regulated learning with CRYSTAL ISLAND

Intelligent tutoring systems, its 2016, 9684, 240–246.

Source: NC State University Libraries
Added: August 6, 2018

2015 journal article

A multi-componential analysis of emotions during complex learning with an intelligent multi-agent system

Computers in Human Behavior, 48, 615–625.

By: J. Harley, F. Bouchet, M. Hussain, R. Azevedo & R. Calvo

Source: NC State University Libraries
Added: August 6, 2018

2015 journal article

Defining and measuring engagement and learning in science: Conceptual, theoretical, methodological, and analytical issues

Educational Psychologist, 50(1), 84–94.

By: R. Azevedo

Source: NC State University Libraries
Added: August 6, 2018

2015 conference paper

Examining the predictive relationship between personality and emotion traits and learners' agent-direct emotions

Artificial intelligence in education, aied 2015, 9112, 145–154.

By: J. Harley, C. Carter, N. Papaionnou, F. Bouchet, R. Landis, R. Azevedo, L. Karabachian

Source: NC State University Libraries
Added: August 6, 2018

2015 journal article

Motivation matters: Interactions between achievement goals and agent scaffolding for self-regulated learning within an intelligent tutoring system

Computers in Human Behavior, 52, 338–348.

By: M. Duffy & R. Azevedo

Source: NC State University Libraries
Added: August 6, 2018

2015 journal article

Team regulation in a simulated medical emergency: An in-depth analysis of cognitive, metacognitive, and affective processes

Instructional Science, 43(3), 401–426.

By: M. Duffy, R. Azevedo, N. Sun, S. Griscom, V. Stead, L. Crelinsten, J. Wiseman, T. Maniatis, K. Lachapelle

Source: NC State University Libraries
Added: August 6, 2018

2015 journal article

The curious case of climate change: Testing a theoretical model of epistemic beliefs, epistemic emotions, and complex learning

Learning and Instruction, 39, 168–183.

By: K. Muis, R. Pekrun, G. Sinatra, R. Azevedo, G. Trevors, E. Meier, B. Heddy

Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

Can the use of cognitive and metacognitive self-regulated learning strategies be predicted by learners' levels of prior knowledge in hypermedia-learning environments?

Computers in Human Behavior, 39, 356–367.

By: M. Taub, R. Azevedo, F. Bouchet & B. Khosravifar

Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

Issues in dealing with sequential and temporal characteristics of self- and socially-regulated learning

Metacognition and Learning, 9(2), 217–228.

By: R. Azevedo

Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

Metacognition

Cambridge Handbook of the Learning Sciences, 2nd Edition, 63–87.

By: P. Winne & R. Azevedo

Source: NC State University Libraries
Added: August 6, 2018

2014 journal article

Note-taking within MetaTutor: Interactions between an intelligent tutoring system and prior knowledge on note-taking and learning

Educational Technology Research and Development: ETR & D, 62(5), 507–528.

By: G. Trevors, M. Duffy & R. Azevedo

Source: NC State University Libraries
Added: August 6, 2018

conference paper

Is more agency better? The impact of student agency on game-based learning

Sawyer, R., Smith, A., Rowe, J., Azevedo, R., & Lester, J. Artificial intelligence in education, aied 2017, 10331, 335–346.

By: R. Sawyer, A. Smith, J. Rowe, R. Azevedo & J. Lester

Source: NC State University Libraries
Added: August 6, 2018

conference paper

Toward affect-sensitive virtual human tutors: The influence of facial expressions on learning and emotion

Mudrick, N. V., Taub, M., Azevedo, R., Rowe, J., & Lester, J. International conference on affective computing and intelligent, 184–189.

By: N. Mudrick, M. Taub, R. Azevedo, J. Rowe & J. Lester

Source: NC State University Libraries
Added: August 6, 2018

conference paper

Using multi-level modeling with eye-tracking data to predict metacognitive monitoring and self-regulated learning with CRYSTAL ISLAND

Taub, M., Mudrick, N. V., Azevedo, R., Millar, G. C., Rowe, J., & Lester, J. Intelligent tutoring systems, its 2016, 0684, 240–246.

Source: NC State University Libraries
Added: August 6, 2018

conference paper

Using multi-level modeling with eye-tracking data to predict metacognitive monitoring and self-regulated learning with crystal island

Taub, M., Mudrick, N. V., Azevedo, R., Millar, G. C., Rowe, J., & Lester, J. Intelligent tutoring systems, its 2016, 9684, 240–246.

Source: NC State University Libraries
Added: August 6, 2018