Maxwell Fowler

According to our database, Maxwell Fowler authored at least 27 papers between 2016 and 2024.

Collaborative distances:

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

2024

Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills.

Paul Denny, David H. Smith IV, Max Fowler, James Prather, Brett A. Becker, Juho Leinonen

CoRR, 2024

Designing and Piloting a High School CS+X Topics Course.

Kathleen Isenegger, Max Fowler, Yael Gertner, Raya Hegeman-Davis, Leonard Pitt

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Leveraging Kotter's 8 Stage Model of Organizational Change to Understand Broadening Participation in Computing.

Kari L. George, Max Fowler, Vidushi Ojha, Morgan M. Fong, Kathleen Isenegger, Christopher Perdriau, Mariam Saffar Perez, Yael Gertner, Colleen M. Lewis

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Prompting for Comprehension: Exploring the Intersection of Explain in Plain English Questions and Prompt Writing.

David H. Smith, Paul Denny, Max Fowler

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Quickly Producing "Isomorphic" Exercises: Quantifying the Impact of Programming Question Permutations.

Max Fowler, David H. Smith, Craig B. Zilles

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills.

Paul Denny, David H. Smith, Max Fowler, James Prather, Brett A. Becker, Juho Leinonen

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

Validating, Refining, and Identifying Programming Plans Using Learning Curve Analysis on Code Writing Data.

Mehmet Arif Demirtas, Max Fowler, Nicole Hu, Kathryn Cunningham

Proceedings of the 2024 ACM Conference on International Computing Education Research, 2024

Reexamining Learning Curve Analysis in Programming Education: The Value of Many Small Problems.

Mehmet Arif Demirtas, Max Fowler, Kathryn Cunningham

Proceedings of the 17th International Conference on Educational Data Mining, 2024

2023

Investigating the Effects of Testing Frequency on Programming Performance and Students' Behavior.

David H. Smith IV, Chinedu Emeka, Max Fowler, Matthew West, Craig B. Zilles

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Using Physical Models of Java to Make Abstract Concepts Concrete.

Colleen M. Lewis, Morgan M. Fong, Max Fowler, Kathleen Isenegger, Vidushi Ojha, Christopher Perdriau, Mariam Saffar Perez

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Investigating the Role and Impact of Distractors on Parsons Problems in CS1 Assessments.

David H. Smith, Max Fowler, Craig B. Zilles

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Am I Wrong, or Is the Autograder Wrong? Effects of AI Grading Mistakes on Learning.

Tiffany Wenting Li, Silas Hsu, Max Fowler, Zhilin Zhang, Craig B. Zilles, Karrie Karahalios

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

"\"I Don't Gamble To Make My Livelihood\": Understanding the Incentives For.

Max Fowler, David H. Smith IV, Binglin Chen, Craig B. Zilles

Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

Comparing the Impacts of Visually Grouped and Jumbled Distractors on Parsons Problems in CS1 Assessments.

David H. Smith IV, Seth Poulsen, Max Fowler, Craig B. Zilles

Proceedings of the ACM Conference on Global Computing Education Vol 1, 2023

2022

Reevaluating the relationship between explaining, tracing, and writing skills in CS1 in a replication study.

Max Fowler, David H. Smith IV, Mohammed Hassan, Seth Poulsen, Matthew West, Craig B. Zilles

Comput. Sci. Educ., 2022

Are We Fair?: Quantifying Score Impacts of Computer Science Exams with Randomized Question Pools.

Max Fowler, David H. Smith IV, Chinedu Emeka, Matthew West, Craig B. Zilles

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

2021

Superficial Code-guise: Investigating the Impact of Surface Feature Changes on Students' Programming Question Scores.

Max Fowler, Craig B. Zilles

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Autograding.

Maxwell Fowler, Binglin Chen, Sushmita Azad, Matthew West, Craig B. Zilles

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

How should we 'Explain in plain English'? Voices from the Community.

Max Fowler, Binglin Chen, Craig B. Zilles

Proceedings of the ICER 2021: ACM Conference on International Computing Education Research, 2021

How productive are homework and elective practice? Applying a post hoc modeling of student knowledge in a large, introductory computing course (Full Paper).

Max Fowler, Binglin Chen, Matthew West, Craig B. Zilles

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

Attitudes Surrounding an Imperfect AI Autograder.

Silas Hsu, Tiffany Wenting Li, Zhilin Zhang, Max Fowler, Craig B. Zilles, Karrie Karahalios

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

2020

Learning to Cheat: Quantifying Changes in Score Advantage of Unproctored Assessments Over Time.

Binglin Chen, Sushmita Azad, Maxwell Fowler, Matthew West, Craig B. Zilles

Proceedings of the L@S'20: Seventh ACM Conference on Learning @ Scale, 2020

Strategies for Deploying Unreliable AI Graders in High-Transparency High-Stakes Exams.

Sushmita Azad, Binglin Chen, Maxwell Fowler, Matthew West, Craig B. Zilles

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

2019

The Social Net of Sentiment: Improving the Base Sentiment Analysis of High Impact Events with Lexical Category Exploration.

Maxwell Fowler, Aleshia Hayes, Kanika Binzani

Proceedings of the Intelligent Systems and Applications, 2019

2017

Robotic Misdirection, For Good Causes.

Maxwell Fowler, Aaron Thieme, John Licato

Proceedings of the 28th Modern Artificial Intelligence and Cognitive Science Conference 2017, 2017

2016

Exploring Web-based Visual Interfaces for Searching Research Articleson Digital Library Systems.

Maxwell Fowler, Chris Bellis, Christopher Perry, Beomjin Kim

Proceedings of the 27th Modern Artificial Intelligence and Cognitive Science Conference 2016, 2016

Embracing Inference as Action: A Step Towards Human-Level Reasoning.

John Licato, Maxwell Fowler

Proceedings of the Artificial General Intelligence - 9th International Conference, 2016