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Poulsen, Seth; Herman, Geoffrey L.; Peterson, Peter A. H.; Golaszewski, Enis; Gorti, Akshita; Oliva, Linda; Scheponik, Travis; Sherman, Alan T. – ACM Transactions on Computing Education, 2022
We present a psychometric evaluation of a revised version of the "Cybersecurity Concept Inventory" ("CCI"), completed by 354 students from 29 colleges and universities. The CCI is a conceptual test of understanding created to enable research on instruction quality in cybersecurity education. This work extends previous expert…
Descriptors: Psychometrics, Computer Security, Measures (Individuals), Computer Science Education
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Ugray, Zsolt; Dunn, Brian K. – Journal of Information Systems Education, 2022
As Information Systems courses have become both more data-focused and student numbers have increased, there has emerged a greater need to assess technical and analytical skills more efficiently and effectively. Multiple-choice examinations provide a means for accomplishing this, though creating effective multiple-choice assessment items within a…
Descriptors: Quality Assurance, Information Systems, Computer Science Education, Student Evaluation
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Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
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David Kocsis; Morgan Shepherd; Daniel L. Segal – Journal of Information Systems Education, 2025
This paper describes the development of a training module to improve students' individual online behaviors. We developed this module to integrate cyber hygiene concepts into a hands-on learning activity where students develop and secure a mobile web application using the Salesforce Developer tool. This new module aims to prepare the next…
Descriptors: Computer Software, Information Security, Computer Science Education, Teaching Methods
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Kumar, Amruth N. – International Educational Data Mining Society, 2023
Is there a pattern in how students solve Parsons puzzles? Is there a difference between the puzzle-solving strategies of C++ and Java students? We used Markov transition matrix to answer these questions. We analyzed the solutions of introductory programming students solving Parsons puzzles involving if-else statements and while loops in C++ and…
Descriptors: Markov Processes, Puzzles, Introductory Courses, Computer Science Education
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Dawar, Deepak – Journal of Information Systems Education, 2023
For most beginners, learning computer programming is a complex undertaking. Demotivation and learned helplessness have been widely reported. In addition to the subject's complexity, low in-class involvement has been linked to poor student performance. This work introduces a novel instructional technique called Student-Driven Probe Instruction…
Descriptors: Computer Science Education, Programming, Introductory Courses, Teaching Methods
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Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Journal of Information Systems Education, 2023
Educators who teach programming subjects are often wondering "which programming language should I teach first?" The debate behind this question has a long history and coming up with a definite answer to this question would be farfetched. Nonetheless, several efforts can be identified in the literature wherein pros and cons of mainstream…
Descriptors: Comparative Analysis, Programming Languages, Probability, Error Patterns
Leah R. Perlmutter – ProQuest LLC, 2023
All students studying Computer Science (CS) deserve to have their basic psychological need for belonging satisfied. In this dissertation, I present two studies of belonging among CS students at the University of Washington-Paul G. Allen School of Computer Science and Engineering. In the first study, my collaborators implemented a resubmission…
Descriptors: Sense of Community, Teaching Assistants, Student Satisfaction, Computer Science Education
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Kristy A. Robinson; So Yeon Lee – Journal of Experimental Education, 2025
Students vary in their perceptions of teachers' motivational supports, even within the same classroom, but it is unclear why this is the case. To enable the design of equitable environments and understand the theoretical nature of motivational climate, this study explored demographic differences in university students' perceptions of instruction…
Descriptors: Foreign Countries, STEM Education, Undergraduate Students, Introductory Courses
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Paul Wagner; Melissa Dark; Robert Honomichl; Filipo Sharevski; Sandra Leiterman – Journal of Cybersecurity Education, Research and Practice, 2025
The increasing prevalence of cybersecurity threats and the shortage of qualified professionals necessitate innovative solutions for cybersecurity education at all levels. Despite the expansion of postsecondary cybersecurity programs, employer dissatisfaction with graduates and a lack of standardized introductory curricula highlights the need for…
Descriptors: Information Security, Computer Security, Computer Science Education, National Security
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Mahatanankoon, Pruthikrai; Wolf, James – Information Systems Education Journal, 2021
Learning a computer programming language is typically one of the basic requirements of being an information technology (IT) major. While other studies previously investigate computer programming self-efficacy and grit, their relationships between "shallow" and "deep" learning (Miller et al., 1996) have not been thoroughly…
Descriptors: Cognitive Processes, Learning Strategies, Introductory Courses, Computer Science Education
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Phung, Tung; Cambronero, José; Gulwani, Sumit; Kohn, Tobias; Majumdarm, Rupak; Singla, Adish; Soares, Gustavo – International Educational Data Mining Society, 2023
Large language models (LLMs), such as Codex, hold great promise in enhancing programming education by automatically generating feedback for students. We investigate using LLMs to generate feedback for fixing syntax errors in Python programs, a key scenario in introductory programming. More concretely, given a student's buggy program, our goal is…
Descriptors: Computational Linguistics, Feedback (Response), Programming, Computer Science Education
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Lokkila, Erno; Christopoulos, Athanasios; Laakso, Mikko-Jussi – Informatics in Education, 2023
Prior programming knowledge of students has a major impact on introductory programming courses. Those with prior experience often seem to breeze through the course. Those without prior experience see others breeze through the course and disengage from the material or drop out. The purpose of this study is to demonstrate that novice student…
Descriptors: Prior Learning, Programming, Computer Science Education, Markov Processes
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Karlin, Michael; Ottenbreit-Leftwich, Anne; Liao, Yin-Chan – Computer Science Education, 2023
Background: Despite ongoing calls for prioritizing K-12 computer science (CS) education, an enduring gender gap exists. Objective: We explored one high school CS program where female participation was consistently higher than state averages to better understand how the program was developed. Method: Using a case study method, data were collected…
Descriptors: Computer Science Education, Gender Differences, Student Participation, High School Students
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Margulieux, Lauren; Parker, Miranda C.; Cetin Uzun, Gozde; Cohen, Jonathan D. – Journal of Technology and Teacher Education, 2023
Educators across disciplines are implementing lessons and activities that integrate computing concepts into their curriculum to broaden participation in computing. Out of myriad important introductory computing skills, it is unknown which--and to what extent--these concepts are included in these integrated experiences, especially when compared to…
Descriptors: Programming, Programming Languages, Computer Science Education, Age Differences
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