Allison L. Moore

According to our database, Allison L. Moore authored at least 5 papers between 2010 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Affect-Targeted Interviews for Understanding Student Frustration.

Ryan S. Baker, Nidhi Nasiar, Jaclyn L. Ocumpaugh, Stephen Hutt, Juliana Ma. Alexandra L. Andres, Stefan Slater, Matthew Schofield, Allison L. Moore, Luc Paquette, Anabil Munshi, Gautam Biswas

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2019

Affect Sequences and Learning in Betty's Brain.

Juliana Ma. Alexandra L. Andres, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Luc Paquette, Yang Jiang, Shamya Karumbaiah, Nigel Bosch, Anabil Munshi, Allison L. Moore, Gautam Biswas

Proceedings of the 9th International Conference on Learning Analytics & Knowledge, 2019

2018

Studying the Interactions between Components of Self Regulated Learning in Open Ended Learning Environments.

Anabil Munshi, Ramkumar Rajendran, Jaclyn Ocumpaugh, Allison L. Moore, Gautam Biswas

Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

Expert Feature-Engineering vs. Deep Neural Networks: Which Is Better for Sensor-Free Affect Detection?

Yang Jiang, Nigel Bosch, Ryan S. Baker, Luc Paquette, Jaclyn Ocumpaugh, Juliana Ma. Alexandra L. Andres, Allison L. Moore, Gautam Biswas

Proceedings of the Artificial Intelligence in Education - 19th International Conference, 2018

2010

21^st century assessment: redesigning to optimize learning.

Vanessa Svihla, Drue Gawel, Megan Brown, Allison L. Moore, Nancy Vye, John D. Bransford

Proceedings of the Learning in the Disciplines: Proceedings of the 9th International Conference of the Learning Sciences, 2010