Confusion can be beneficial for learning.
By S. D’Mello, Blair A. Lehman, Reinhard Pekrun, A. Graesser. 2014
755 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Developmental and Educational Psychology, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/4ad7073d34b95986430c8fd9f9ba38f94c5aa500
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Xiangen Hu
- Benjamin D. Nye
- Krista R. Muis
- W. L. Johnson
- James C. Lester
- Reinhard Pekrun
- Charles R. Graham
- Lisa R. Halverson
In Developmental and Educational Psychology
- Ivar Bråten
- Krista R. Muis
- Reinhard Pekrun
- Gale M. Sinatra
- Marianne Chevrier
- James C. Lester
- W. L. Johnson
- Lisa R. Halverson
In Experimental and Cognitive Psychology
- Krista R. Muis
- Gale M. Sinatra
- James C. Lester
- Gregory Trevors
- A. Graesser
- Marianne Chevrier
- Cara A. Singh
- Philip H. Winne
Citations in the corpus
- Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions (2023, background): “According to a study conducted by D'Mello and colleagues [55], students who engaged with a virtual tutor that imitated human-like emotional behavior demonstrated superior learning outcomes compared to those who engaged with a virtual tutor that lacked such behavior.”
- The Discrepancy-Induced Source Comprehension (D-ISC) Model: Basic Assumptions and Preliminary Evidence (2017, background): “The controversial content would not become coactivated in working memory (Kendeou & O’Brien, 2014), making it unlikely that the reader experiences cognitive conflict (D’Mello et al., 2014; Otero, 2002; van den Broek & Kendeou, 2008).”
- Pedagogical Agents: Back to the Future (2018, positive): “Creating affect-sensitive pedagogical agents attests to the growing recognition of the central role that emotion plays in learning (Baker et al. 2010; D’Mello et al. 2014; Pekrun et al. 2002; Pekrun 2011) and the importance of designing learning environments that respond to student affect (Rai et al”
- Identity and Epistemic Emotions During Knowledge Revision: A Potential Account for the Backfire Effect (2016, background): “, anxiety, confusion) and physiological measures, such as analysis of electrocardiograms or facial expressions (Daley, Willet, & Fischer, 2014; D’Mello et al., 2014).”
- The Role of Epistemic Emotions in Personal Epistemology and Self-Regulated Learning (2018, background): “However, the development of such interventions cannot proceed without the creation of learning material designed to arouse optimal and beneficial levels of surprise, curiosity, and confusion (D’Mello et al., 2014).”
- Learner Engagement in Blended Learning Environments: A Conceptual Framework (2019, background): “Possibly, engagement indicators function differently at the activity and course levels: Confusion noted in real time might be an indicator of focused engagement (D’Mello et al., 2014), but confusion recalled later (e.”