David H. Smith IV

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Programming Assignments

Learning Computer Programming

Student Engagement

Compressive Sampling

Top Venues

Comput. Sci. Educ.

Publications

Annapurna Vadaparty, Daniel Zingaro, David H. Smith IV, Mounika Padala, Christine Alvarado, Jamie Gorson Benario, Leo Porter
CS1-LLM: Integrating LLMs into CS1 Instruction. CoRR (2024)
Annapurna Vadaparty, Daniel Zingaro, David H. Smith IV, Mounika Padala, Christine Alvarado, Jamie Gorson Benario, Leo Porter
CS1-LLM: Integrating LLMs into CS1 Instruction. ITiCSE (1) (2024)
Paul Denny, David H. Smith IV, Max Fowler, James Prather, Brett A. Becker, Juho Leinonen
Explaining Code with a Purpose: An Integrated Approach for Developing Code Comprehension and Prompting Skills. CoRR (2024)
Zihan Wu, David H. Smith IV
Evaluating Micro Parsons Problems as Exam Questions. CoRR (2024)
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
Interactions with Prompt Problems: A New Way to Teach Programming with Large Language Models. CoRR (2024)
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
How Instructors Incorporate Generative AI into Teaching Computing. ITiCSE (2) (2024)
David H. Smith IV, Chinedu Emeka, Max Fowler, Matthew West, Craig B. Zilles
Investigating the Effects of Testing Frequency on Programming Performance and Students' Behavior. SIGCSE (1) (2023)
David H. Smith IV, Craig B. Zilles
Code Generation Based Grading: Evaluating an Auto-grading Mechanism for "Explain-in-Plain-English" Questions. CoRR (2023)
David H. Smith IV, Seth Poulsen, Max Fowler, Craig B. Zilles
Comparing the Impacts of Visually Grouped and Jumbled Distractors on Parsons Problems in CS1 Assessments. CompEd (1) (2023)
Qiang Hao, David H. Smith IV, Lu Ding, Amy J. Ko, Camille Ottaway, Jack Wilson, Kai Arakawa, Alistair Turcan, Timothy Poehlman, Tyler Greer
Towards understanding the effective design of automated formative feedback for programming assignments. Comput. Sci. Educ. 32 (1) (2022)
Max Fowler, David H. Smith IV, Mohammed Hassan, Seth Poulsen, Matthew West, Craig B. Zilles
Reevaluating the relationship between explaining, tracing, and writing skills in CS1 in a replication study. Comput. Sci. Educ. 32 (3) (2022)
Max Fowler, David H. Smith IV, Binglin Chen, Craig B. Zilles
"\"I Don't Gamble To Make My Livelihood\": Understanding the Incentives For. ICER (1) (2022)
David H. Smith IV
Useful Distractions? Investigating the Utility of Distractors in Parsons Problems. ICER (2) (2022)
David H. Smith IV, Qiang Hao, Christopher D. Hundhausen, Filip Jagodzinski, Josh Myers-Dean, Kira Jaeger
Towards Modeling Student Engagement with Interactive Computing Textbooks: An Empirical Study. SIGCSE (2021)
Qiang Hao, David H. Smith IV, Naitra Iriumi, Michail Tsikerdekis, Amy J. Ko
A Systematic Investigation of Replications in Computing Education Research. ACM Trans. Comput. Educ. 19 (4) (2019)
David H. Smith IV, Qiang Hao, Filip Jagodzinski, Yan Liu, Vishal Gupta
Quantifying the Effects of Prior Knowledge in Entry-Level Programming Courses. CompEd (2019)
Qiang Hao, Jack P. Wilson, Camille Ottaway, Naitra Iriumi, Kai Arakawa, David H. Smith IV
Investigating the Essential of Meaningful Automated Formative Feedback for Programming Assignments. CoRR (2019)
Qiang Hao, Jack P. Wilson, Camille Ottaway, Naitra Iriumi, Kai Arakawa, David H. Smith IV
Investigating the Essential of Meaningful Automated Formative Feedback for Programming Assignments. VL/HCC (2019)