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Showing 1 to 15 of 29 results Save | Export
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Liu, Jun; Li, Qingyue; Sun, Xue; Zhu, Ziqi; Xu, Yanhua – Asia Pacific Journal of Education, 2023
Programming self-efficacy plays an important role in promoting interest in programming education among teenagers. Therefore, the purpose of this study was to examine to what extent family socioeconomic status, programming learning, programming teaching, and gender influence programming self-efficacy. A total of 851 upper-secondary-school students…
Descriptors: Programming, Computer Science Education, Self Efficacy, Foreign Countries
Jun Rao – ProQuest LLC, 2021
In recent years, not only has there been a dramatic drop in the number of students enrolling in computer science courses, and attrition from computer science courses continues to be significant. Traditionally, computer programming courses have high failure rates, and as they tend to be core to computer science courses can be a roadblock for many…
Descriptors: Self Efficacy, Student Evaluation, Grading, Computer Science Education
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Ko, Chia-Yin; Leu, Fang-Yie – IEEE Transactions on Education, 2021
Contribution: This study applies supervised and unsupervised machine learning (ML) techniques to discover which significant attributes that a successful learner often demonstrated in a computer course. Background: Students often experienced difficulties in learning an introduction to computers course. This research attempts to investigate how…
Descriptors: Undergraduate Students, Student Characteristics, Academic Achievement, Predictor Variables
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Silvia Wen-Yu Lee; Jyh-Chong Liang; Chung-Yuan Hsu; Meng-Jung Tsai – Interactive Learning Environments, 2024
While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…
Descriptors: Student Attitudes, Beliefs, Computer Science Education, Programming
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Lehman, Kathleen J.; Newhouse, Kaitlin N. S.; Sundar, Sarayu; Sax, Linda J. – Computer Science Education, 2023
Background and Context: As computing fields aim to both expand and diversify, narrowing representation gaps in undergraduate computing majors requires focus on retaining women and racially/ethnically minoritized students to the point of degree attainment. Objective: This study addresses the factors that contribute to persistence in computing…
Descriptors: Majors (Students), Undergraduate Students, Academic Persistence, Computer Science Education
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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
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Avcu, Yunus Emre; Ayverdi, Leyla – International Journal of Educational Methodology, 2020
The study's goal was to examine the correlation between the computer programming self-efficacy and computational thinking skills of gifted and talented students. The capacity of the computer programming self-efficacy of gifted and talented students to predict their computational thinking skills were also examined. The relational screening model…
Descriptors: Programming, Self Efficacy, Thinking Skills, Correlation
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Akcaoglu, Mete; Rosenberg, Joshua M.; Hodges, Charles B.; Hilpert, Jonathan C. – Computers in the Schools, 2021
Computer programming is becoming an essential skill for young students regardless of their education or career goals. Therefore, for students to develop and for educators and researchers to accurately measure self-efficacy in and value for programming is important. Although student motivation in subject matter can be measured using self-report…
Descriptors: Middle School Students, Student Attitudes, Value Judgment, Self Efficacy
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Günbatar, Mustafa Serkan – International Journal of Computer Science Education in Schools, 2020
The purpose of this research is to examine Computational Thinking (CT) skills, Computer Programming Self-Efficacy (CPSE), and Computer Programming Attitude (CPA) of middle school students who took the Information Technologies & Software (IT&S) courses and those who did not, and make various analyses according to the relationships between…
Descriptors: Thinking Skills, Self Efficacy, Programming, Computer Science Education
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Quille, Keith; Bergin, Susan – Computer Science Education, 2019
Background and Context: Computer Science attrition rates (in the western world) are very concerning, with a large number of students failing to progress each year. It is well acknowledged that a significant factor of this attrition, is the students' difficulty to master the introductory programming module, often referred to as CS1. Objective: The…
Descriptors: Computer Science Education, Introductory Courses, Programming, Student Attrition
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Alhamami, Munassir – Education and Information Technologies, 2021
The policy--English as a medium of instruction (EMI)--in computing education plays an important role in achieving the outcomes of computer science programs. This study examines the effects of Saudi Arabia's English as a medium of instruction (EMI) policy in undergraduate computer science programs at public universities. Study data was collected…
Descriptors: Foreign Countries, Language of Instruction, English (Second Language), Computer Science Education
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Weston, Timothy J.; Dubow, Wendy M.; Kaminsky, Alexis – ACM Transactions on Computing Education, 2020
While demand for computer science and information technology skills grows, the proportion of women entering computer science (CS) fields has declined. One critical juncture is the transition from high school to college. In our study, we examined factors predicting college persistence in computer science- and technology-related majors from data…
Descriptors: Females, Academic Persistence, High School Students, Computer Science Education
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Kong, Siu-Cheung; Wang, Yi-Qing – Computer Science Education, 2019
Background and Context: Positive youth programming development (PYPD) was conceptualized to measure various positive qualities of students in programming education. Objective: This study aimed to develop a valid PYPD instrument in the pilot before exploring students' positive qualities in two follow-up studies. Method: A multi-study design was…
Descriptors: Computer Science Education, Programming, College Students, Test Validity
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Blaney, Jennifer M. – Computer Science Education, 2020
Background and Context: Women remain underrepresented in undergraduate computing, student leadership roles, and computing leadership positions after college. This study provides insight into these inequities by examining gender and leadership conceptions among computing undergraduate students. Objective: Guided by leadership identity development…
Descriptors: Computer Science Education, Gender Differences, Disproportionate Representation, Undergraduate Students
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Lee, Ahlam – Computers in the Schools, 2020
Concerning the underrepresentation of female students in computer science (CS) classes at the K-12 level and math-intensive STEM fields, this study investigated the relationship between female students earning less credits in CS courses during high school and their STEM major choices. Data were drawn from a nationally representative sample of U.S.…
Descriptors: Females, Gender Differences, Computer Science Education, Disproportionate Representation
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