Works (44)

Updated: February 19th, 2024 08:11

2021 journal article

A Theoretical and Evidence-Based Conceptual Design of MetaDash: An Intelligent Teacher Dashboard to Support Teachers' Decision Making and Students’ Self-Regulated Learning

Frontiers in Education, 6.

co-author countries: United States of America 🇺🇸
author keywords: self-regulated learning (SRL); teacher decision making; learning; multimodal data; teacher dashboards
Sources: Web Of Science, ORCID, Crossref
Added: August 23, 2021

2021 journal article

Predictive Student Modeling in Game-Based Learning Environments with Word Embedding Representations of Reflection

INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE IN EDUCATION, 31(1), 1–23.

By: M. Geden n, A. Emerson n, D. Carpenter n, J. Rowe n, R. Azevedo* & J. Lester n

co-author countries: United States of America 🇺🇸
author keywords: Student modeling; Early prediction; Game-based learning environments; Self-regulated learning; Reflection
Source: Web Of Science
Added: November 9, 2020

2020 journal article

Multimodal learning analytics for game-based learning

BRITISH JOURNAL OF EDUCATIONAL TECHNOLOGY, 51(5), 1505–1526.

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

Source: Web Of Science
Added: July 20, 2020

2020 article

PRIME: Block-Wise Missingness Handling for Multi-modalities in Intelligent Tutoring Systems

MULTIMEDIA MODELING (MMM 2020), PT II, Vol. 11962, pp. 63–75.

By: . Yang n, Y. Kim n, M. Taub*, R. Azevedo* & M. Chi n

co-author countries: United States of America 🇺🇸
author keywords: Multimodal; Block-wise missing; Learning gain prediction
Source: Web Of Science
Added: February 22, 2021

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), 04018115.

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

co-author countries: United States of America 🇺🇸
author keywords: Construction safety; Hazard recognition; Hazard identification; Eye-tracking; Visual search; Safety training; Personalized training; Occupational safety; Human factors
Sources: Web Of Science, Crossref, ORCID
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 n & R. Azevedo n

co-author countries: United States of America 🇺🇸
author keywords: Intelligent tutoring systems; Metacognition; Multichannel data; Prior knowledge; Self-regulated learning
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 n, R. Azevedo* & M. Taub*

co-author countries: United States of America 🇺🇸
author keywords: Metacomprehension; Multimedia learning; Eye movements; Sequential pattern mining; Differential sequence mining
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, Vol. 11626, pp. 36–40.

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

co-author countries: United States of America 🇺🇸
author keywords: Motivation; Metacognition; Game-based learning environments
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 article

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

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

co-author countries: Canada 🇨🇦 United States of America 🇺🇸
author keywords: Computer-based learning environments; Academic emotions; Latent transition analysis
Source: Web Of Science
Added: November 26, 2018

2018 article

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

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

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

co-author countries: Canada 🇨🇦 France 🇫🇷 United States of America 🇺🇸
author keywords: Adaptivity; Prompting; Pedagogical agents; Intelligent tutoring systems; Emotions; Affects; Metacognition; Self-regulated learning
Source: Web Of Science
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 n, R. Sawyer n, R. Azevedo n & J. Lester n

co-author countries: United States of America 🇺🇸
author keywords: Student modeling; Gaze; Game-based learning
Source: Web Of Science
Added: April 2, 2019

2018 article

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

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

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

co-author countries: United States of America 🇺🇸
author keywords: Cognitive learning strategies; Facial expressions of emotion; Process data; Self-regulated learning; Latent semantic analysis
Source: Web Of Science
Added: November 26, 2018

2018 article

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

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

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

co-author countries: United States of America 🇺🇸
author keywords: Affective and metacognitive processes; Hypermedia-based ITS; Process data; Self-regulated learning
Source: Web Of Science
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 n, R. Sawyer n, M. Price n, J. Lester n, C. Roberts* & R. Azevedo n

co-author countries: United States of America 🇺🇸
Source: NC State University Libraries
Added: November 26, 2018

2018 article

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

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

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

co-author countries: United States of America 🇺🇸
author keywords: Achievement goal orientation; Intelligent tutoring systems; Motivation
Source: Web Of Science
Added: November 26, 2018

2018 article

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

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

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

co-author countries: United States of America 🇺🇸
author keywords: Emotion regulation; Self-regulated learning; Metacognition; Emotions; Intelligent Tutoring Systems
Source: Web Of Science
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 n, R. Azevedo n, A. Bradbury n, G. Millar n & J. Lester n

co-author countries: United States of America 🇺🇸
author keywords: Metacognition; Self-regulated learning; Scientific reasoning; Game-based learning; Sequence mining; Process data; Log files
Source: Web Of Science
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 n, A. Albert n, R. Azevedo n & E. Jaselskis n

co-author countries: United States of America 🇺🇸
author keywords: Construction safety; Safety training; Safety management; Hazard identification; Hazard recognition; Training methods; Personalized training; Safety intervention; Labor and personnel issues
Source: Web Of Science
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 n, S. Yang, J. Chen, N. Mudrick*, M. Taub*, R. Azevedo*, E. Lobaton*

co-author countries: China 🇨🇳 United States of America 🇺🇸
Sources: NC State University Libraries, ORCID
Added: August 6, 2018

2017 article

The Impact of Student Individual Differences and Visual Attention to Pedagogical Agents During Learning with MetaTutor

ARTIFICIAL INTELLIGENCE IN EDUCATION, AIED 2017, Vol. 10331, pp. 149–161.

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

co-author countries: Canada 🇨🇦 United States of America 🇺🇸
author keywords: Pedagogical agents; Personalization; Visual attention; Achievement goals; Personality traits; Intelligent tutoring systems
Source: Web Of Science
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 n, M. Taub n, R. Azevedo n, J. Rowe n & J. Lester n

co-author countries: United States of America 🇺🇸
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.

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

co-author countries: United States of America 🇺🇸
author keywords: Cognitive strategies; Metacognitive monitoring; Game-based learning environments; Eye tracking; Log files; Self-regulated learning
Source: Web Of Science
Added: August 6, 2018

2016 article

Are Pedagogical Agents' External Regulation Effective in Fostering Learning with Intelligent Tutoring Systems?

INTELLIGENT TUTORING SYSTEMS, ITS 2016, Vol. 9684, pp. 197–207.

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

co-author countries: United States of America 🇺🇸
author keywords: Self-regulated learning; Metacognition; Pedagogical agents; Externally regulated learning; ITS; Scaffolding; Learning; Product data; Process data
Source: Web Of Science
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 article

Using Multi-level Modeling with Eye-Tracking Data to Predict Metacognitive Monitoring and Self-regulated Learning with CRYSTAL ISLAND

INTELLIGENT TUTORING SYSTEMS, ITS 2016, Vol. 9684, pp. 240–246.

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

co-author countries: United States of America 🇺🇸
author keywords: Metacognition; Self-regulated learning; Game-based learning; Eye tracking; Process data; Scientific reasoning
Source: Web Of Science
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

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

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