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Haoze Du; Richard Li; Edward Gehringer – International Educational Data Mining Society, 2025
Evaluating the performance of Large Language Models (LLMs) is a critical yet challenging task, particularly when aiming to avoid subjective assessments. This paper proposes a framework for leveraging subjective metrics derived from the class textual materials across different semesters to assess LLM outputs across various tasks. By utilizing…
Descriptors: Artificial Intelligence, Performance, Evaluation, Automation
Annie M. Wofford; Lara Perez-Felkner; K. Bret Staudt Willet; Chantra Nhien – Research in Higher Education, 2025
Minority-Serving Institutions (MSIs) play a critical role in supporting racially minoritized and low-income students. Despite their importance, MSIs continue to be overlooked in federal investments. This short research note delves into the historical and geographical factors influencing MSIs, generally, and in the vastly growing area of graduate…
Descriptors: Minority Serving Institutions, Graduate Study, School Demography, STEM Education
Jennifer M. Blaney; David F. Feldon; Annie M. Wofford; Kaylee Litson – Research in Higher Education, 2025
Community college transfer students represent a diverse and talented group to recruit to PhD and other graduate programs. Yet, little is known about practical strategies to support community college transfer students' access to graduate training. Focusing specifically on transfer students in computer science and guided by social cognitive career…
Descriptors: College Transfer Students, Community College Students, Graduate Study, Access to Education
Crowdsourcing Cyber Experts to Determine Relevant Topics during Cyber Curriculum Development Efforts
Ngac, Brian K.; Boicu, Mihai – Innovations in Education and Teaching International, 2023
The cyber security environment, its threats, and its defence strategies are constantly changing. Educational programmes and their curriculum are known to be slow changing and at times out-of-date, resulting in content that may not be as relevant to their students and the industry. This research paper will 1 -- present an overview of the curriculum…
Descriptors: Expertise, Curriculum Development, Computer Security, Computer Science Education
Nuno Verdelho Trindade; Lidia Custodio; Alfredo Ferreira; Joao Madeiras Pereira – IEEE Transactions on Learning Technologies, 2024
Ray tracing is a computer graphics technique used to produce realistic visuals by physically simulating the behavior of light. Although this technique can be described straightforwardly, fully comprehending it might be challenging. It is typically taught in the classroom using the 2-D formats, such as paper or a blackboard. We propose using…
Descriptors: Computer Simulation, Computer Graphics, Visualization, Computer Assisted Instruction
Wofford, Annie M.; Sax, Linda J.; George, Kari L.; Ramirez, Daisy; Nhien, Chantra – Journal of Higher Education, 2022
In light of the need to both grow and diversify graduate enrollments in computing fields, this quantitative study examined variables associated with students' initial aspirations for computing graduate school as well as how aspirations were sustained or developed over time. Using a longitudinal sample of undergraduate students who enrolled in…
Descriptors: Computer Science Education, Undergraduate Students, Academic Aspiration, Graduate Study
Yi Jin; Jason R. Harron – International Journal of Computer Science Education in Schools, 2023
Computer science (CS) has become a critical part of K-12 education worldwide. Computational thinking (CT) skills are a key set of competencies in CS education that can solve problems and use computational design to create useful solutions. However, preservice and in-service teachers are not fully prepared to integrate CS and CT into their…
Descriptors: Teacher Attitudes, Computation, Thinking Skills, Computer Science Education
Brayan Díaz; Collin Lynch; Cesar Delgado; Kevin Han – International Journal of STEM Education, 2025
Background: This paper describes research into two pedagogical approaches to foster transdisciplinarity in a graduate engineering course that involves education and computer science. Leveraging the Communities of Practice framework, we examine how students majoring in computer science can integrate new knowledge from education and computer science…
Descriptors: Graduate Study, Engineering Education, Computer Science, Interdisciplinary Approach
Mike Richards; Kevin Waugh; Mark A Slaymaker; Marian Petre; John Woodthorpe; Daniel Gooch – ACM Transactions on Computing Education, 2024
Cheating has been a long-standing issue in university assessments. However, the release of ChatGPT and other free-to-use generative AI tools has provided a new and distinct method for cheating. Students can run many assessment questions through the tool and generate a superficially compelling answer, which may or may not be accurate. We ran a…
Descriptors: Computer Science Education, Artificial Intelligence, Cheating, Student Evaluation
Wofford, Annie M. – Research in Higher Education, 2021
Given the significant need to increase and diversify graduate enrollments within computing fields, it is vital to understand what shapes students' pathways to computing graduate school. This study examines the predictors of undergraduate students' self-confidence in being admitted to computing graduate school among students who enrolled in an…
Descriptors: Self Esteem, Computer Science Education, Predictor Variables, Structural Equation Models
Annie M. Wofford – AERA Open, 2023
Mentorship is vital to increasing graduate school access in computing; however, mentorship must be structured in power-conscious, developmental ways to ensure equitable access to and support within computing graduate pathways. I engage a critical quantitative lens to examine mentoring support among undergraduates with reported graduate…
Descriptors: Graduate Study, Interaction, Mentors, Computer Science Education
Lunn, Stephanie; Samary, Maíra Marques; Hambrusch, Susanne; Yadav, Aman – ACM Transactions on Computing Education, 2022
Computer science education (CSEd) is a growing interdisciplinary area that continues to gain momentum from students, researchers, and educators. Yet, there are few formal programs or degree options for students interested in pursuing graduate work in CSEd. This article explores the existing state of CSEd in the United States (U.S.) through…
Descriptors: Educational History, Computer Science Education, Interdisciplinary Approach, Futures (of Society)
Noah G. Price – ProQuest LLC, 2022
Over the last decade the Bay Area region has witnessed a lack of diversity in Silicon Valley technology professions, a subject of current political and popular discourse. The California State University (CSU) system provides accessible higher education; the CSU system approach to accessible higher education affirms the distinctness of regions,…
Descriptors: Disproportionate Representation, Minority Group Students, Graduate Students, Females
Ioannis, Berdousis; Maria, Kordaki – Education and Information Technologies, 2019
The study of gender differences in Computer Science (CS) has captured the attention of many researchers around the world. Over time, research has revealed that negative stereotypes and 'myths' about the cognitive skills, academic abilities and interests of females in CS do exist, deterring females from entering the field. Thus, this study aims to…
Descriptors: Computer Science Education, Gender Differences, Stereotypes, Misconceptions
Sibley F. Lyndgaard; Corey E. Tatel; Ruth Kanfer; Julia E. Melkers; Justin C. Sabree – Computer-Based Learning in Context, 2022
The disruptive effects of the COVID pandemic on vulnerable and/or minority demographic groups among 1) student populations and 2) persons employed in low wage sectors are well-established. This study examined whether disparity in the disruptive effects of the pandemic extend to adult learners employed in "bright prospect" sectors (e.g.,…
Descriptors: COVID-19, Pandemics, Minority Group Students, Adult Students

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