Jeremiah Sullins
According to our database1,
Jeremiah Sullins
authored at least 19 papers
between 2006 and 2020.
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Bibliography
2020
Proceedings of the Interdisciplinarity in the Learning Sciences: Proceedings of the 14th International Conference of the Learning Sciences, 2020
2019
Not all confusion is productive: an investigation into confusion induction methods and their impact on learning.
Int. J. Learn. Technol., 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019
2018
Identifying Methods to Induce Productive Confusion for Improving Performance in Physics.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018
The First Step in Harnessing the Self Conscious Emotions: A Quantitative Exploration of Shame.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018
2016
Proceedings of the 2016 IEEE Frontiers in Education Conference, 2016
2015
Exploring the effectiveness of a novel feedback mechanism within an intelligent tutoring system.
Int. J. Learn. Technol., 2015
Are You Asking the Right Questions: The Use of Animated Agents to Teach Learners to Become Better Question Askers.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015
The Impact of Anomalous Information, Personality, and Motivation on Self- Regulatory Processes in a Multimedia Vicarious Learning Environment.
Proceedings of the Twenty-Eighth International Florida Artificial Intelligence Research Society Conference, 2015
2014
The relationship between cognitive disequilibrium, emotions and individual differences on student question generation.
Int. J. Learn. Technol., 2014
2013
The Impact of a Mathematical Intelligent Tutoring System on Students' Performance on Standardized High-Stake Tests.
Proceedings of the Knowledge Spaces, Applications in Education, 2013
2010
A Time for Emoting: When Affect-Sensitivity Is and Isn't Effective at Promoting Deep Learning.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010
2009
The Relationship Between Modality and Metacognition While Interacting with AutoTutor.
Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009
Proceedings of the Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, 2009
2007
The Influence of External-Regulation on Student Generated Questions during Hypermedia Learning.
Proceedings of the Artificial Intelligence in Education, 2007
Do Various Self-Regulatory Processes Predict Different Hypermedia Learning Outcomes?
Proceedings of the Artificial Intelligence in Education, 2007
2006
Predicting Affective States expressed through an Emote-Aloud Procedure from AutoTutor's Mixed-Initiative Dialogue.
Int. J. Artif. Intell. Educ., 2006