Michelle Taub

发表

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

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2016, ITS.

Emotion recognition with facial expressions and physiological signals

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

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

Michelle Taub, Roger Azevedo, Elizabeth B. Cloude, 2018, ITS.

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

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2017, 2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII).

Development of a Human Factors Methods Blog for an Audience of Game Developers

Michelle Taub, Nicholas V. Mudrick, Francis A. Trowbridge, 2016 .

The Effectiveness of Pedagogical Agents' Prompting and Feedback in Facilitating Co-adapted Learning with MetaTutor

Gahangir Hossain, Mohammed Yeasin, Jason M. Harley, 2012, ITS.

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

Michelle Taub, Roger Azevedo, Yeo-Jin Kim, 2019, MMM.

Are There Benefits of Using Multiple Pedagogical Agents to Support and Foster Self-Regulated Learning in an Intelligent Tutoring System?

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2016, ITS.

CSCL and Learning Analytics: Opportunities to Support Social Interaction, Self-Regulation and Socially Shared Regulation

Carolyn Penstein Rosé, Diyi Yang, Sanna Järvelä, 2015, CSCL.

The Impact of Contextualized Emotions on Self-Regulated Learning and Scientific Reasoning during Learning with a Game-Based Learning Environment

Michelle Taub, Roger Azevedo, James Lester, 2019, International Journal of Artificial Intelligence in Education.

The Challenge of Measuring Processes and Outcomes While Learning from Multiple Representations with Advanced Learning Technologies

Michelle Taub, Roger Azevedo, 2020 .

On the Influence on Learning of Student Compliance with Prompts Fostering Self-Regulated Learning

Cristina Conati, Sébastien Lallé, Michelle Taub, 2017, EDM.

“Let's Set Up Some Subgoals”: Understanding Human-Pedagogical Agent Collaborations and Their Implications for Learning and Prompt and Feedback Compliance

Jason M. Harley, Michelle Taub, François Bouchet, 2018, IEEE Transactions on Learning Technologies.

Using Eye-Tracking to Determine the Impact of Prior Knowledge on Self-Regulated Learning with an Adaptive Hypermedia-Learning Environment

Michelle Taub, Roger Azevedo, R. Azevedo, 2016, ITS.

More Information May Reduce Errors for Novice Users

Michelle Taub, Hallie Clark, Caleb Furlough, 2014 .

Using data visualizations to foster emotion regulation during self-regulated learning with advanced learning technologies: a conceptual framework

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2017, LAK.

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

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2019, Comput. Hum. Behav..

Impact of Individual Differences on Affective Reactions to Pedagogical Agents Scaffolding

Cristina Conati, Sébastien Lallé, Michelle Taub, 2016, IVA.

Does prior knowledge reveal cognitive and metacognitive processes during learning with a hypermedia-learning system based on eye-tracking data?

Michelle Taub, Roger Azevedo, Jesse J. Farnsworth, 2015, CogSci.

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

Yi Dong, Gautam Biswas, Michelle Taub, 2018, ITS.

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

Cristina Conati, Sébastien Lallé, Michelle Taub, 2017, AIED.

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

Michelle Taub, Roger Azevedo, R. Azevedo, 2018, International Journal of Artificial Intelligence in Education.

Using multi-channel data with multi-level modeling to assess in-game performance during gameplay with Crystal Island

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2017, Computers in Human Behavior.

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

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2016, ITS.

Student Subtyping via EM-Inverse Reinforcement Learning

Michelle Taub, Min Chi, Guojing Zhou, 2020, EDM.

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

Michelle Taub, Roger Azevedo, James C. Lester, 2019, AIED.

The Effects of Autonomy on Emotions and Learning in Game-Based Learning Environments

Michelle Taub, Roger Azevedo, Amanda E. Bradbury, 2017, CogSci.

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

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2018, ITS.

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

Michelle Taub, Roger Azevedo, François Bouchet, 2014, Comput. Hum. Behav..

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

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2018, ITS.

Does the Frequency of Pedagogical Agent Intervention Relate to Learners' Self-Reported Boredom while using Multiagent Intelligent Tutoring Systems?

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2015, CogSci.

The agency effect: The impact of student agency on learning, emotions, and problem-solving behaviors in a game-based learning environment

Michelle Taub, Roger Azevedo, Jonathan P. Rowe, 2020, Comput. Educ..

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

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2018, ITS.

Do Accurate Metacognitive Judgments Predict Successful Multimedia Learning?

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2017, CogSci.

Adaptive Multi-Agent Architecture to Track Students' Self-Regulated Learning

Michelle Taub, Roger Azevedo, John S. Kinnebrew, 2013, AIED Workshops.

Transitioning self-regulated learning profiles in hypermedia-learning environments

Michelle Taub, Roger Azevedo, Eunice Eunhee Jang, 2017, LAK.

Using Multi-Channel Data to Assess, Understand, and Support Metacognition with Advanced Learning Technologies.

Michelle Taub, 2017 .

Can Scaffolds from Pedagogical Agents Influence Effective Completion of Sub-Goals during Learning with a Multi-Agent Hypermedia-Learning Environment?

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2014, ICLS.

Measuring the Impact of COVID-19 Induced Campus Closure on Student Self-Regulated Learning in Physics Online Learning Modules

Michelle Taub, Zhongzhou Chen, Tom Zhang, 2021, LAK.

How are students’ emotions related to the accuracy of cognitive and metacognitive processes during learning with an intelligent tutoring system?

Gautam Biswas, Michelle Taub, Roger Azevedo, 2019 .

Understanding and Reasoning about Real-Time Cognitive, Affective, and Metacognitive Processes to Foster Self-Regulation with Advanced Learning Technologies

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2017 .

Self-Regulation in Computer-Assisted Learning Systems

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2019, The Cambridge Handbook of Cognition and Education.

A Study of Subjective Emotions, Self-Regulatory Processes, and Learning Gains: Are Pedagogical Agents Effective in Fostering Learning?

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2014, ICLS.

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

Michelle Taub, Roger Azevedo, Garrett C. Millar, 2017 .

Interdisciplinary Research Methods Used to Investigate Emotions with Advanced Learning Technologies

Michelle Taub, Nicholas V. Mudrick, Roger Azevedo, 2016 .