Juan Miguel L. Andres-Bray

According to our database, Juan Miguel L. Andres-Bray authored at least 8 papers between 2019 and 2023.

Collaborative distances:

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

2023

Exploring Cross-Country Prediction Model Generalizability in MOOCs.

Juan Miguel L. Andres-Bray, Stephen Hutt, Ryan Shaun Baker

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

2022

Controlled outputs, full data: A privacy-protecting infrastructure for MOOC data.

Stephen Hutt, Ryan S. Baker, Michael Mogessie Ashenafi, Juan Miguel L. Andres-Bray, Christopher Brooks

Br. J. Educ. Technol., 2022

2021

A Comparison of Hints vs. Scaffolding in a MOOC with Adult Learners.

Yiqiu Zhou, Juan Miguel L. Andres-Bray, Stephen Hutt, Korinn Ostrow, Ryan S. Baker

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

Gaming and Confrustion Explain Learning Advantages for a Math Digital Learning Game.

J. Elizabeth Richey, Jiayi Zhang, Rohini Das, Juan Miguel L. Andres-Bray, Richard Scruggs, Michael Mogessie Ashenafi, Ryan S. Baker, Bruce M. McLaren

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

2020

Confrustion and Gaming While Learning with Erroneous Examples in a Decimals Game.

Michael Mogessie Ashenafi, J. Elizabeth Richey, Bruce M. McLaren, Juan Miguel L. Andres-Bray, Ryan S. Baker

Proceedings of the Artificial Intelligence in Education - 21st International Conference, 2020

2019

More confusion and frustration, better learning: The impact of erroneous examples.

J. Elizabeth Richey, Juan Miguel L. Andres-Bray, Michael Mogessie Ashenafi, Richard Scruggs, Juliana Ma. Alexandra L. Andres, Jon R. Star, Ryan S. Baker, Bruce M. McLaren

Comput. Educ., 2019

Hello? Who is posting, who is answering, and who is succeeding in Massive Open Online Courses.

Juan Miguel L. Andres-Bray, Jaclyn L. Ocumpaugh, Ryan S. Baker

Proceedings of the 12th International Conference on Educational Data Mining, 2019

Confrustion in Learning from Erroneous Examples: Does Type of Prompted Self-explanation Make a Difference?

J. Elizabeth Richey, Bruce M. McLaren, Miguel Andres-Bray, Michael Mogessie Ashenafi, Richard Scruggs, Ryan S. Baker, Jon R. Star

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019