David H. Smith

According to our database, David H. Smith authored at least 13 papers between 2005 and 2024.

Collaborative distances:

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

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

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

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