Michael Mogessie Ashenafi

According to our database, Michael Mogessie Ashenafi authored at least 14 papers between 2015 and 2022.

Collaborative distances:

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

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

Research Using the MOOC Replication Framework and E-TRIALS.

Ryan Baker, Stephen Hutt, Michael Mogessie Ashenafi, Haripriya Valayaputtar

Proceedings of the IEEE Learning with MOOCS, 2022

Investigating the Effects of Mindfulness Meditation on a Digital Learning Game for Mathematics.

Huy Anh Nguyen, Zsofia K. Takacs, Eniko O. Bereczki, J. Elizabeth Richey, Michael Mogessie Ashenafi, Bruce M. McLaren

Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

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

Towards Sharing Student Models Across Learning Systems.

Ryan S. Baker, Bruce M. McLaren, Stephen Hutt, J. Elizabeth Richey, Elizabeth Rowe, Ma. Victoria Almeda, Michael Mogessie Ashenafi, Juliana Ma. Alexandra L. Andres

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

2020

Work-in-Progress - A Generalizable Virtual Reality Training and Intelligent Tutor for Additive Manufacturing.

Michael Mogessie Ashenafi, Sandra DeVincent Wolf, Matheus Barbosa, Nicholas Jones, Bruce M. McLaren

Proceedings of the 6th International Conference of the Immersive Learning Research Network, 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

Online Peer-Assessment Datasets.

Michael Mogessie Ashenafi

CoRR, 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 Star, Ryan S. Baker, Bruce M. McLaren

Comput. Educ., 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 Star

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

2017

An Online Peer-Assessment Methodology for Improved Student Engagement and Early Intervention.

Michael Mogessie Ashenafi

PhD thesis, 2017

2016

Exploring the Role of Online Peer-Assessment as a Tool of Early Intervention.

Michael Mogessie Ashenafi, Marco Ronchetti, Giuseppe Riccardi

Proceedings of the Emerging Technologies for Education - First International Symposium, 2016

Predicting Student Progress from Peer-Assessment Data.

Michael Mogessie Ashenafi, Marco Ronchetti, Giuseppe Riccardi

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

Predicting students' final exam scores from their course activities.

Michael Mogessie Ashenafi, Giuseppe Riccardi, Marco Ronchetti

Proceedings of the 2015 IEEE Frontiers in Education Conference, 2015