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Mirjam Paales; Karin Täht – IEEE Transactions on Education, 2025
Contribution: This study enhances the understanding of the factors that impact academic performance and self-efficacy among computer science (CS) students, specifically focusing on gender differences. Background: The motivation behind this study stems from the gender disparity observed within undergraduate CS programs. This gender gap undermines…
Descriptors: Females, Womens Education, Gender Differences, Undergraduate Students
M. V. Lubarda; A. M. Phan; C. Schurgers; N. Delson; M. Ghazinejad; S. Baghdadchi; M. Minnes; M. Kim; C. Pilegard; J. Relaford-Doyle; C. L. Sandoval; H. Qi – Computer Science Education, 2025
Background and context: Pair programming and oral exams were deployed in tandem in a remote undergraduate computer programming course to promote social interaction and enhance learning. Objectives: We investigate their impact on social interactions, sense of connection, academic performance, and academic integrity within a virtual learning…
Descriptors: Distance Education, Undergraduate Students, Integrity, Computer Science Education
Stepanova, Anna; Weaver, Alexis; Lahey, Joanna; Alexander, Gerianne; Hammond, Tracy – ACM Transactions on Computing Education, 2022
Computer science (CS) majors are in high demand and account for a large part of national computer and information technology job market applicants. Employment in this sector is projected to grow 12% between 2018 and 2028, which is faster than the average of all other occupations. Published data are available on traditional non-computer…
Descriptors: Computer Science Education, Majors (Students), Personnel Selection, Employer Attitudes
Paek, Seungoh; Leong, Peter; Johnson, Philip; Moore, Carleton – International Journal of Technology in Education and Science, 2021
Despite the perceived value of extracurricular experience, higher education relies heavily on grade point average (GPA) as a measure of undergraduates' academic success. When used as a singular standard assessment, GPA, which is based on student progress and completion of coursework, may inadvertently steer undergraduates away from valuable…
Descriptors: Grade Point Average, Computer Science Education, Undergraduate Students, Career Development
Gurung, Regan A. R.; Mai, Theresa; Nelson, Matthew; Pruitt, Sydney – Teaching of Psychology, 2022
Background: Instructors and students are on a continuing quest to identify predictors of learning. Objective: This study examines the associations between self-reported exam score and study techniques among students in two courses, Introductory Psychology and Computer Science. Method: We used an online survey to measure the extent students (N =…
Descriptors: Predictor Variables, Study Skills, Thinking Skills, Metacognition
Ong, Nathan; Zhu, Jiaye; Mossé, Daniel – International Educational Data Mining Society, 2022
Student grade prediction is a popular task for learning analytics, given grades are the traditional form of student performance. However, no matter the learning environment, student background, or domain content, there are things in common across most experiences in learning. In most previous machine learning models, previous grades are considered…
Descriptors: Prediction, Grades (Scholastic), Learning Analytics, Student Characteristics
Robbiano, Christopher; Maciejewski, Anthony A.; Chong, Edwin K. P. – IEEE Transactions on Education, 2020
Contribution: This article presents quantitative support that the changes implemented as part of Colorado State University's (CSU's) Revolutionizing Engineering Departments (REDs) grant produce statistically significant positive change through a series of nonparametric analysis techniques. Additionally, the set of nonparametric analysis techniques…
Descriptors: Undergraduate Students, Engineering Education, Computer Science Education, Educational Change
Clements, Peggy; Auchstetter, Amelia; Lin, Shuqiong; Savage, Corey – American Institutes for Research, 2022
This is the final report of an independent evaluation of the CompuPower program that was developed by Arizona State University's Center for Gender Equity in Science and Technology (ASU CGEST). CompuPower is a multifaceted program for high school students that is centered on a culturally responsive computing course that includes four key…
Descriptors: Computer Science Education, High School Students, Culturally Relevant Education, Secondary School Curriculum
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
Smith, Max O.; Giugliano, Andrew; DeOrio, Andrew – IEEE Transactions on Education, 2018
Contribution: This paper provides evidence for the benefits of pair programming early in the curriculum on student performance later in the curriculum. It also confirms the short term benefits of partnerships at scale. Background: Engineers often work in teams, both in industry and in academia. Previous work has shown that partnered programming…
Descriptors: Programming, Teamwork, Computer Science Education, Grade Point Average
Tatel, Corey E.; Lyndgaard, Sibley F.; Kanfer, Ruth; Melkers, Julia E. – Journal of Learning Analytics, 2022
As the demand for lifelong learning increases, many working adults have turned to online graduate education in order to update their skillsets and pursue advanced credentials. Simultaneously, the volume of data available to educators and scholars interested in online learning continues to rise. This study seeks to extend learning analytics…
Descriptors: Course Selection (Students), Enrollment Trends, Academic Achievement, Learning Analytics
Vasilopoulos, Ioannis V.; van Schaik, Paul – Journal of Educational Computing Research, 2019
This article discusses the design and implementation of a new programming tool for Greek novices as a means to improve introductory programing instruction in Greece. We implemented Koios, a new highly interactive and visual programming tool for Greek novices, based on the body of research in the field of psychology of programming. The main…
Descriptors: Novices, Programming, Computer Software, Introductory Courses
Tomkin, Jonathan H.; West, Matthew; Herman, Geoffrey L. – ACM Transactions on Computing Education, 2018
We present a methodological improvement for calculating Grade Point Averages (GPAs). Heterogeneity in grading between courses systematically biases observed GPAs for individual students: the GPA observed depends on course selection. We show how a logistic model can account for course selection by simulating how every student in a sample would…
Descriptors: Grade Point Average, Grading, Predictor Variables, Grades (Scholastic)
Aizat Nurshatayeva; Lindsay C. Page – Journal of Research on Educational Effectiveness, 2020
English-only college education in non-English speaking countries is a rapidly growing phenomenon that has been dubbed as the most important trend in higher education internationalization. Despite worldwide popularity, there is little empirical evidence about how the transition to English-only instruction affects students' academic outcomes. Using…
Descriptors: Language of Instruction, English (Second Language), Outcomes of Education, Educational Trends
Schwarzenberg, Pablo; Navon, Jaime; Nussbaum, Miguel; Pérez-Sanagustín, Mar; Caballero, Daniela – Journal of Computing in Higher Education, 2018
The flipped classroom has shown a positive effect on academic performance and student satisfaction. However, there are relatively few studies that help us understand when or why this method has a positive effect on students, so as to aid the design of a flipped class. In this study, an instrument for assessing the student learning experience in…
Descriptors: Learning Experience, Blended Learning, Academic Achievement, Student Satisfaction

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