Michael W. Asher
Orcid: 0000-0002-1006-8813
According to our database1,
Michael W. Asher authored at least 14 papers
between 2021 and 2026.
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Bibliography
2026
Language Preferences and Practices in Multilingual EdTech: Flexible Primary Language Use with Secondary Language Support.
CoRR, April, 2026
The Future of Feedback: How Can AI Help Transform Feedback to Be More Engaging, Effective, and Scalable?
CoRR, March, 2026
Investigating the Efficacy of Mastery-Based Tests in Fostering Effective Self-Regulated Learning Behaviors in CS1 Courses.
Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026
Inclusive Mobile Learning: How Technology-Enabled Language Choice Supports Multilingual Students.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
Will They Try Again? A Large-Scale RCT on Scaffolds that Support Persistence in an Intelligent Tutoring System.
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems, 2026
2025
The promise of mastery-based testing for promoting student engagement, self-regulated learning, and performance in gateway STEM courses.
Comput. Educ., 2025
Does the Doer Effect Generalize To Non-WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning.
Proceedings of the 15th International Learning Analytics and Knowledge Conference, 2025
Proceedings of 9th Educational Data Mining in Computer Science Education (CSEDM) Workshop co-located with the 18th Educational Data Mining Conference (EDM 2025), 2025
To Honor or Dishonor Student Choices? The Impact of Self-Regulation on Instructional Methods and Learning Outcomes.
Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025
2024
Does the Doer Effect Exist Beyond WEIRD Populations? Toward Analytics in Radio and Phone-Based Learning.
CoRR, 2024
Students Can Learn More Efficiently When Lectures Are Replaced with Practice Opportunities and Feedback.
Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024
2023
Using latent variable models to make gaming-the-system detection robust to context variations.
User Model. User Adapt. Interact., November, 2023
2022
Proceedings of the 15th International Conference on Educational Data Mining, 2022
2021
Proceedings of the LAK'21: 11th International Learning Analytics and Knowledge Conference, 2021