David H. Smith IV

According to our database, David H. Smith IV authored at least 21 papers between 2019 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 2024

Integrating Natural Language Prompting Tasks in Introductory Programming Courses.

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

CoRR, 2024

Explain in Plain Language Questions with Indic Languages: Drawbacks, Affordances, and Opportunities.

David H. Smith IV, Viraj Kumar, Paul Denny

CoRR, 2024

Evaluating Micro Parsons Problems as Exam Questions.

Zihan Wu, David H. Smith IV

CoRR, 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

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

James Prather, Paul Denny, Juho Leinonen, David H. Smith IV, Brent N. Reeves, Stephen MacNeil, Brett A. Becker, Andrew Luxton-Reilly, Thezyrie Amarouche, Bailey Kimmel

CoRR, 2024

CS1-LLM: Integrating LLMs into CS1 Instruction.

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

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

How Instructors Incorporate Generative AI into Teaching Computing.

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

Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 2, 2024

2023

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

David H. Smith IV, Craig B. Zilles

CoRR, 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

Useful Distractions? Investigating the Utility of Distractors in Parsons Problems.

David H. Smith IV

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

Generating Multiple Choice Questions for Computing Courses Using Large Language Models.

Andrew Tran, Kenneth Angelikas, Egi Rama, Chiku Okechukwu, David H. Smith IV, Stephen MacNeil

Proceedings of the IEEE Frontiers in Education Conference, 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

Towards understanding the effective design of automated formative feedback for programming assignments.

Qiang Hao, David H. Smith IV, Lu Ding, Amy J. Ko, Camille Ottaway, Jack Wilson, Kai Arakawa, Alistair Turcan, Timothy Poehlman, Tyler Greer

Comput. Sci. Educ., 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

Towards Modeling Student Engagement with Interactive Computing Textbooks: An Empirical Study.

David H. Smith IV, Qiang Hao, Christopher D. Hundhausen, Filip Jagodzinski, Josh Myers-Dean, Kira Jaeger

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

2019

A Systematic Investigation of Replications in Computing Education Research.

Qiang Hao, David H. Smith IV, Naitra Iriumi, Michail Tsikerdekis, Amy J. Ko

ACM Trans. Comput. Educ., 2019

Investigating the Essential of Meaningful Automated Formative Feedback for Programming Assignments.

Qiang Hao, Jack P. Wilson, Camille Ottaway, Naitra Iriumi, Kai Arakawa, David H. Smith IV

Proceedings of the 2019 IEEE Symposium on Visual Languages and Human-Centric Computing, 2019

Quantifying the Effects of Prior Knowledge in Entry-Level Programming Courses.

David H. Smith IV, Qiang Hao, Filip Jagodzinski, Yan Liu, Vishal Gupta

Proceedings of the ACM Conference on Global Computing Education, 2019