Simulating the dynamics of self-regulation, emotion, grit, and student performance in cyber-learning environments

Author:

Kooken Janice W.ORCID,Zaini RaafatORCID,Arroyo IvonORCID

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Education

Reference72 articles.

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2. Arroyo, I., Burleson, W., Tai, M., Muldner, K., & Woolf, B. P. (2013). Gender differences in the use and benefit of advanced learning technologies for mathematics. Journal of Educational Psychology, 105(4), 957–969. https://doi.org/10.1037/a0032748.

3. Arroyo, I., Cooper, D. G., Burleson, W., Woolf, B. P., Muldner, K., & Christopherson, R. (2009). Emotion sensors go to school. AIED, 400, 17–24.

4. Arroyo, I., Cooper, D. G., Burleson, W., & Woolf, B. P. (2010). Bayesian networks and linear regression models of students’ goals, moods, and emotions. In C. Romero, S. Ventura, M. Pechenizkiy, & R. S. J. Baker (Eds.), Handbook of Educational Data Mining (pp. 323–338).

5. Arroyo, I., Karumbaiah, S., Woolf, B., Muldner, K., Lizarralde, R., Allesio, D., Wixon, N., & Burleson, W. (under review). Addressing students’ emotions in personalized digital learning environments. Submitted to the International Journal of Artificial Intelligence in Education.

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