David H. Smith

According to our database, David H. Smith authored at least 24 papers between 2005 and 2026.

Collaborative distances:

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

2026

Prompting through Decomposition: Evaluating the Efficacy of Problem Decomposition Diagrams for Code Generation.

David H. Smith, S. Moonwara A. Monisha, Annapurna Vadaparty, Leo Porter, Daniel Zingaro

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.2, 2026

Enabling Open Educational Resource Adoption through Integrated Sharing in PrairieLearn.

Seth Poulsen, Geoffrey L. Herman, Mariana Silva, Max Fowler, David H. Smith, Leo Porter, Nico Ritschel, Craig B. Zilles, Matthew West

Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1, 2026

Evaluating CS1-LLM: Integrating LLMs and Examining Student Outcomes in an Introductory Computer Science Course.

Annapurna Vadaparty, David H. Smith, Samvrit Srinath, Mounika Padala, Christine Alvarado, Jamie Gorson Benario, Leo Porter, Daniel Zingaro

Proceedings of the 28th Australasian Computing Education Conference, 2026

2025

Mining Hierarchies with Conviction: Constructing the CS1 Skill Hierarchy with Pairwise Comparisons over Skill Distributions.

Dip Kiran Pradhan Newar, Max Fowler, David H. Smith, Seth Poulsen

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

Exploring Student Reactions to LLM-Generated Feedback on Explain in Plain English Problems.

Chris Kerslake, Paul Denny, David H. Smith, Juho Leinonen, Stephen MacNeil, Andrew Luxton-Reilly, Brett A. Becker

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1, 2025

Neurodiversity in Computing Education Research: A Systematic Literature Review.

Cynthia Zastudil, David H. Smith, Yusef Tohamy, Rayhona Nasimova, Gavin Montross, Stephen MacNeil

Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1, 2025

ReDefining Code Comprehension: Function Naming as a Mechanism for Evaluating Code Comprehension.

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

Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1, 2025

Counting the Trees in the Forest: Evaluating Prompt Segmentation for Classifying Code Comprehension Level.

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

Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1, 2025

Achievement Goals in CS1-LLM.

Annapurna Vadaparty, Francis Geng, David H. Smith, Jamie Gorson Benario, Daniel Zingaro, Leo Porter

Proceedings of the 27th Australasian Computing Education Conference, 2025

2024

Evaluating Large Language Model Code Generation as an Autograding Mechanism for "Explain in Plain English" Questions.

David H. Smith, Craig B. Zilles

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

Integrating Natural Language Prompting Tasks in Introductory Programming Courses.

Chris Kerslake, Paul Denny, David H. Smith, James Prather, Juho Leinonen, Andrew Luxton-Reilly, Stephen MacNeil

Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 1, 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

Evaluating Micro Parsons Problems as Exam Questions.

Zihan Wu, David H. Smith

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

Code Generation Based Grading: Evaluating an Auto-grading Mechanism for "Explain-in-Plain-English" Questions.

David H. Smith, Craig B. Zilles

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

Beyond the Hype: A Comprehensive Review of Current Trends in Generative AI Research, Teaching Practices, and Tools.

James Prather, Juho Leinonen, Natalie Kiesler, Jamie Gorson Benario, Sam Lau, Stephen MacNeil, Narges Norouzi, Simone Opel, Vee Pettit, Leo Porter, Brent N. Reeves, Jaromír Savelka, David H. Smith, Sven Strickroth, Daniel Zingaro

Proceedings of the 2024 Working Group Reports on Innovation and Technology in Computer Science Education, 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

Distractors Make You Pay Attention: Investigating the Learning Outcomes of Including Distractor Blocks in Parsons Problems.

David H. Smith, Seth Poulsen, Chinedu Emeka, Zihan Wu, Carl Haynes-Magyar, Craig B. Zilles

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

2023

Discovering, Autogenerating, and Evaluating Distractors for Python Parsons Problems in CS1.

David H. Smith, Craig B. Zilles

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

Multi-Institutional Multi-National Studies of Parsons Problems.

Barbara J. Ericson, Janice L. Pearce, Susan H. Rodger, Andrew Csizmadia, Rita Garcia, Francisco J. Gutierrez, Konstantinos Liaskos, Aadarsh Padiyath, Michael James Scott, David H. Smith, Jayakrishnan Madathil Warriem, Angela M. Zavaleta Bernuy

Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education, 2023

Conducting Multi-Institutional Studies of Parsons Problems.

Barbara J. Ericson, Janice L. Pearce, Susan H. Rodger, Andrew Csizmadia, Rita Garcia, Francisco J. Gutierrez, Konstantinos Liaskos, Aadarsh Padiyath, Michael James Scott, David H. Smith, Jayakrishnan Warriem, Angela M. Zavaleta Bernuy

Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2, 2023

2017

Computerized prescriber order entry-related patient safety reports: analysis of 2522 medication errors.

Mary G. Amato, Alejandra Salazar, Thu-Trang T. Hickman, Arbor J. L. Quist, Lynn A. Volk, Adam Wright, Dustin McEvoy, William L. Galanter, Ross Koppel, Beverly Loudin, Jason S. Adelman, John D. McGreevey, David H. Smith, David W. Bates, Gordon D. Schiff

J. Am. Medical Informatics Assoc., 2017

2005

The IEE/BCS Independent Safety Assurance Working Group.

David H. Smith

Proceedings of the Constituents of Modern System-safety Thinking, 2005