Conference Session

Programming Education 2

Collection

2024 ASEE Annual Conference & Exposition

Authors

Edward Dillon, Morgan State University; Krystal L. Williams, University of Georgia; Ashley Simone Pryor, Morgan State University; Theodore Wimberly Jr., Morgan State University; Mariah McMichael, Morgan State University; Abisola Mercy Arowolaju; Donald Bernard Davis, Morgan State University; Toluwanimi Ayodele, Morgan State University

Tagged Divisions

Computers in Education Division (COED)

program.Through a case study comprising six semesters at a Mid-Atlantic Historically Black University,this article contributes to exploring the impact of infusing command line programming into anintroductory course (CS2) and an intermediate level object-oriented programming (OOP) course.Moreover, it provides a direct comparative study that explores the impacts of command lineprogramming versus IDE and their respective impact on student learning. Details and outcomespertaining to this case study are discussed after the Literature Review section.2. Literature Review2.1 Tools for Early CS CoursesLiterature has provided much emphasis and empirical evidence as it pertains to programmingtools and their impacts on early CS majors upon exposure. There has been a

Conference Session

Computers in Education Division (COED) Track 5.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sita Vaibhavi Gunturi, Pennsylvania State University, Harrisburg, The Capital College; Jeremy Joseph Blum, Pennsylvania State University, Harrisburg, The Capital College; Tyler S. Love, University of Maryland Eastern Shore

Tagged Divisions

Computers in Education Division (COED)

. He is nationally recognized for his work related to the safer design of makerspaces and collaborative STEM labs. Dr. Love is an Authorized OSHA Trainer for General Industry. He has also served on committees at state and national levels that developed P-12 engineering education standards. In recognition of his work, Dr. Love was awarded the 2022 ASEE mid-Atlantic section Best Paper Award, and has received numerous awards from the International Technology and Engineering Educators Association. ©American Society for Engineering Education, 2025 An Evaluation of Prompt Engineering Strategies by College Students in Competitive Programming Tasks Sita V

Conference Session

COED: Spotlight on Diverse Learners

Collection

2023 ASEE Annual Conference & Exposition

Authors

Edward Dillon, Morgan State University; Theodore Wimberly Jr.; Mariah McMichael; Lauren Brown, Morgan State University; Abigail Dina; Krystal L. Williams, University of Georgia

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

graduates/new professionals in CS. Both groups of women were from the sameHistorically Black University in the Mid-Atlantic United States. The questions asked duringthese focus groups covered topics such as: established identity in CS with themselves and others,personal experiences and challenges as a black woman in CS that are gender and/or race related,psycho-social characteristics experienced (e.g. imposter syndrome and confidence), and personalfeedback/recommendations for promoting equity, inclusion, and representation of black womenin CS. Key results revealed that the majority of these women exhibited an identity with CS. Yet,the majority of them also noted a lack of confidence and exhibiting imposter syndrome as part oftheir CS experiences

Conference Session

Computers in Education Division (COED) Track 2.A

Collection

2025 ASEE Annual Conference & Exposition

Authors

Trini Sofia Balart, Texas A&M University; Sidney Katherine Uy Tesy, Texas A&M University; Kristi J. Shryock, Texas A&M University

Tagged Divisions

Computers in Education Division (COED)

systematic review,” Smart Learn. Environ., vol. 11, no. 1, p. 28, Jun. 2024, doi: 10.1186/s40561-024-00316-7.[16]​ H.-Y. Lee, P.-H. Chen, W.-S. Wang, Y.-M. Huang, and T.-T. Wu, “Empowering ChatGPT with guidance mechanism in blended learning: effect of self-regulated learning, higher-order thinking skills, and knowledge construction,” Int. J. Educ. Technol. High. Educ., vol. 21, no. 1, p. 16, Mar. 2024, doi: 10.1186/s41239-024-00447-4.[17]​ Z. Zhang and Y. Chang, “LEVERAGING GENERATIVE AI TO ENHANCE ENGINEERING EDUCATION AT BOTH LOW-LEVEL AND HIGH-LEVEL STUDY,” in 2024 ASEE Mid-Atlantic Section Conference Proceedings, Farmingdale State College, NY, New York: ASEE Conferences, Oct. 2024, p. 49450. doi: 10.18260/1

Conference Session

Computers in Education Division (COED) Track 2.C

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tammy Mackenzie, The Aula Fellowship; Lisa D. McNair, Virginia Tech; Rubaina Khan, University of Toronto; Animesh Paul, University of Georgia; Sreyoshi Bhaduri, Private Corporation

Tagged Topics

Diversity

Tagged Divisions

Computers in Education Division (COED)

section of papers were grouped under the Miscellaneous label. More than half of these 17papers were concerned with comparing human and AI outputs across domains. One example[98] compared the results of various LLM responses to mechanical engineering exam questionswhile another [99] performed a similar test on computer engineering exam questions. Most ofthese papers tended to find mixed results depending on the evaluation frameworks selected.This is to say, humans and AIs do not perform similarly on all metrics, and so in somecases, the LLM can be found to outperform humans, for example, in applying heuristics,while humans may beat the LLMs on math (e.g., [100], [101]). Authors across these papersrecommend that educators think deeply about the