Alex J. Bowers

According to our database, Alex J. Bowers authored at least 10 papers between 2013 and 2026.

Collaborative distances:

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

2026

Relief or displacement? How teachers are negotiating generative AI's role in their professional practice.

Aayushi Dangol, Smriti Kotiyal, Robert Wolfe, Alex J. Bowers, Antonio Vigil, Jason Yip, Julie A. Kientz, Suleman Shahid, Tom Yeh, Vincent Cho, Katie Davis

Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026

2024

On Fixing the Right Problems in Predictive Analytics: AUC Is Not the Problem.

Ryan S. Baker, Nigel Bosch, Stephen Hutt, Andres Felipe Zambrano, Alex J. Bowers

CoRR, 2024

2022

Engagement-Based Player Typologies Describe Game-Based Learning Outcomes.

Stefan Slater, Ryan Baker, Valerie Shute, Alex J. Bowers

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022

2018

NSF BIGDATA PI Meeting - Domain-Specific Research Directions and Data Sets.

Lisa Singh, Amol Deshpande, Wenchao Zhou, Arindam Banerjee, Alex J. Bowers, Sorelle A. Friedler, H. V. Jagadish, George Karypis, Zoran Obradovic, Anil Vullikanti, Wangda Zuo

SIGMOD Rec., 2018

2017

Using correlational topic modeling for automated topic identification in intelligent tutoring systems.

Stefan Slater, Ryan S. Baker, Ma. Victoria Almeda, Alex J. Bowers, Neil T. Heffernan

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

A Typology of Players in the Game Physics Playground.

Stefan Slater, Alex J. Bowers, Shiming Kai, Valerie Shute

Proceedings of the 2017 DiGRA International Conference, 2017

2016

Elaborating data intensive research methods through researcher-practitioner partnerships.

Mingyu Feng, Andrew E. Krumm, Alex J. Bowers, Timothy E. Podkul

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 2016

Quantifying How Students Use an Online Learning System: A Focus on Transitions and Performance.

Erica L. Snow, Andrew E. Krumm, Timothy E. Podkul, Mingyu Feng, Alex J. Bowers

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

Hierarchical Cluster Analysis Heatmaps and Pattern Analysis: An Approach for Visualizing Learning Management System Interaction Data.

Ji Eun Lee, Mimi Recker, Alex J. Bowers, Min Yuan

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

2013

Predicting College Enrollment from Student Interaction with an Intelligent Tutoring System in Middle School.

Maria Ofelia Clarissa Z. San Pedro, Ryan Shaun Baker, Alex J. Bowers, Neil T. Heffernan

Proceedings of the 6th International Conference on Educational Data Mining, 2013