James Prather

Orcid: 0000-0003-2807-6042

Affiliations:
  • Abilene Christian University, Abilene, TX, USA


According to our database1, James Prather authored at least 54 papers between 2017 and 2024.

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Bibliography

2024
SIGCSE Technical Symposium 2025: Call for Submissions.
ACM SIGCSE Bull., July, 2024

"It's Weird That it Knows What I Want": Usability and Interactions with Copilot for Novice Programmers.
ACM Trans. Comput. Hum. Interact., February, 2024

Computing Education in the Era of Generative AI.
Commun. ACM, February, 2024

Integrating Natural Language Prompting Tasks in Introductory Programming Courses.
CoRR, 2024

Prompts First, Finally.
CoRR, 2024

Generative AI in Education: A Study of Educators' Awareness, Sentiments, and Influencing Factors.
CoRR, 2024

Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills.
CoRR, 2024

Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models.
CoRR, 2024

Solving Proof Block Problems Using Large Language Models.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Discussing the Changing Landscape of Generative AI in Computing Education.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Integrating Natural Language Prompting Tasks in Introductory Programming Courses.
Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 1, 2024

AI in Computing Education from Research to Practice.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Prompt Problems: A New Programming Exercise for the Generative AI Era.
Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Student-AI Interaction: A Case Study of CS1 students.
Proceedings of the 24th Koli Calling International Conference on Computing Education Research, 2024

How Instructors Incorporate Generative AI into Teaching Computing.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

Self-Regulation, Self-Efficacy, and Fear of Failure Interactions with How Novices Use LLMs to Solve Programming Problems.
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.
Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1, 2024

The Widening Gap: The Benefits and Harms of Generative AI for Novice Programmers.
Proceedings of the 2024 ACM Conference on International Computing Education Research, 2024

Evaluating Contextually Personalized Programming Exercises Created with Generative AI.
Proceedings of the 2024 ACM Conference on International Computing Education Research, 2024

"Backseat Gaming" A Study of Co-Regulated Learning within a Collegiate Male Esports Community.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Leverage Biology to Learn Rapidly From Mistakes Without Feeling Like a Failure.
Comput. Sci. Eng., 2023

Promptly: Using Prompt Problems to Teach Learners How to Effectively Utilize AI Code Generators.
CoRR, 2023

First Steps Towards Predicting the Readability of Programming Error Messages.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

The Implications of Large Language Models for CS Teachers and Students.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Programming Is Hard - Or at Least It Used to Be: Educational Opportunities and Challenges of AI Code Generation.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Community Input for CS2023: Society, Ethics and Professionalism.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 2, 2023

Using Large Language Models to Enhance Programming Error Messages.
Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Evaluating the Performance of Code Generation Models for Solving Parsons Problems With Small Prompt Variations.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Transformed by Transformers: Navigating the AI Coding Revolution for Computing Education: An ITiCSE Working Group Conducted by Humans.
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023

The Robots Are Here: Navigating the Generative AI Revolution in Computing Education.
Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education, 2023

Chat Overflow: Artificially Intelligent Models for Computing Education - renAIssance or apocAIypse?
Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1, 2023

Benefits of Failure on Neuroplasticity and Tools for Persistence.
Proceedings of the 2023 ACM Conference on International Computing Education Research, 2023

My AI Wants to Know if This Will Be on the Exam: Testing OpenAI's Codex on CS2 Programming Exercises.
Proceedings of the 25th Australasian Computing Education Conference, 2023

2022
Metacognition and Self-Regulation in Programming Education: Theories and Exemplars of Use.
ACM Trans. Comput. Educ., 2022

Scaffolding Task Planning Using Abstract Parsons Problems.
Proceedings of the Towards a Collaborative Society Through Creative Learning, 2022

Novice Reflections During the Transition to a New Programming Language.
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

From the Horse's Mouth: The Words We Use to Teach Diverse Student Groups Across Three Continents.
Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Parsons Problems and Beyond: Systematic Literature Review and Empirical Study Designs.
Proceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education, 2022

Planning a Multi-institutional and Multi-national Study of the Effectiveness of Parsons Problems.
Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

Getting By With Help From My Friends: Group Study in Introductory Programming Understood as Socially Shared Regulation.
Proceedings of the ICER 2022: ACM Conference on International Computing Education Research, Lugano and Virtual Event, Switzerland, August 7, 2022

The Robots Are Coming: Exploring the Implications of OpenAI Codex on Introductory Programming.
Proceedings of the ACE '22: Australasian Computing Education Conference, Virtual Event, Australia, February 14, 2022

2021
From the Horse's Mouth: The Words We Use to Teach Diverse Student Groups Across Three Continents.
Dataset, December, 2021

On Designing Programming Error Messages for Novices: Readability and its Constituent Factors.
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Towards Assessing the Readability of Programming Error Messages.
Proceedings of the ACE '21: 23rd Australasian Computing Education Conference, 2021

2020
Error Message Readability and Novice Debugging Performance.
Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020

What Do We Think We Think We Are Doing?: Metacognition and Self-Regulation in Programming.
Proceedings of the ICER 2020: International Computing Education Research Conference, 2020

2019
BEST PAPER AT SIGCSE 2019 IN THE CS EDUCATION TRACK: First things first: providing metacognitive scaffolding for interpreting problem prompts.
Inroads, 2019

First Things First: Providing Metacognitive Scaffolding for Interpreting Problem Prompts.
Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019

A Closer Look at Metacognitive Scaffolding: Solving Test Cases Before Programming.
Proceedings of the Koli Calling '19: 19th Koli Calling International Conference on Computing Education Research, 2019

Unexpected Tokens: A Review of Programming Error Messages and Design Guidelines for the Future.
Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

Compiler Error Messages Considered Unhelpful: The Landscape of Text-Based Programming Error Message Research.
Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education, 2019

2018
Metacognitive Difficulties Faced by Novice Programmers in Automated Assessment Tools.
Proceedings of the 2018 ACM Conference on International Computing Education Research, 2018

2017
Trust management for cheating detection in distributed massively multiplayer online games.
Proceedings of the 15th Annual Workshop on Network and Systems Support for Games, 2017

On Novices' Interaction with Compiler Error Messages: A Human Factors Approach.
Proceedings of the 2017 ACM Conference on International Computing Education Research, 2017


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