NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 30 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Josh Tenenberg; Donald Chinn – Computer Science Education, 2025
Background and context: We address the question of what computer science students take the discipline to be. How students conceive the discipline can influence whether a student pursues computer science, what particular area within computer science they focus on and whether they persist in the discipline. In this paper, we examine the epistemic…
Descriptors: Computer Science Education, Epistemology, Student Attitudes, Intellectual Disciplines
Peer reviewed Peer reviewed
Direct linkDirect link
Steve Balady; Cynthia Taylor – Computer Science Education, 2024
Background and Context: Computer Science has traditionally had poor student retention, especially among women. Prior work has found that student attitudes are a key factor to retention, especially with "weedout" courses such as Calculus. Objective: To determine how student attitudes towards CS 1 and Calculus change over active-learning…
Descriptors: Student Attitudes, Calculus, Computer Science Education, Academic Persistence
Peer reviewed Peer reviewed
Direct linkDirect link
Kari L. George; Kaitlin N. S. Newhouse – Research in Higher Education, 2024
Given a myriad of recent contemporary challenges graduate students are facing as well as long-standing issues with student attrition, there is a pressing need to reexamine models of doctoral student progress. While existing research commonly examines departure or failure to meet milestones as the outcome of interest, by the time students leave…
Descriptors: Doctoral Students, Academic Persistence, Progress Monitoring, Barriers
Peer reviewed Peer reviewed
Direct linkDirect link
Miitta Järvinen; Katriina Sipiläinen; Janne Roslöf; Sami Lehesvuori; Lauri Kettunen; Raija Hämäläinen – European Journal of Engineering Education, 2025
This study explored the learning experiences of first-year information technology students at the beginning of their studies. Identifying the early experiences is important, as we know they can predict later challenges and persistence in studies. We focus on a novel understanding of relations between learning approaches, self-efficacy and burnout…
Descriptors: Information Technology, College Freshmen, Computer Science Education, Self Efficacy
Peer reviewed Peer reviewed
Direct linkDirect link
Henriette Holmegaard; Louise Archer; Spela Godec; Emma Watson; Emily MacLeod; Jennifer Dewitt; Julie Moote – Computer Science Education, 2025
Background and Context: There is a call for more young people to continue into higher education computer science (CS). Objective: To understand young people's choices into and away from CS, by addressing the inequalities their trajectories as shaped over time and in relation to their capital and identities. Method: Ninety-four longitudinal…
Descriptors: Computer Science Education, Young Adults, Longitudinal Studies, Social Capital
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Ernst Bekkering – Information Systems Education Journal, 2025
Undergraduate research can stimulate students' interest, especially in STEM disciplines. This research can be formally offered in different formats such as Undergraduate Research Experiences (UREs). One of these is Course-based Undergraduate Research Experiences (CUREs), which are offered as an integral part of scheduled courses. CUREs have been…
Descriptors: Undergraduate Students, Research Training, Computer Science Education, Student Interests
Peer reviewed Peer reviewed
Direct linkDirect link
Chengliang Wang; Xiaojiao Chen; Yifei Li; Pengju Wang; Haoming Wang; Yuanyuan Li – Journal of Educational Computing Research, 2025
This study explored the impact of MetaClassroom, a virtual immersive programming learning environment designed based on the three-dimensional learning progression (3DLP) concept, on students' multidimensional development. Utilizing a quasi-experimental research design, this study compared students' programming learning achievements (PLA),…
Descriptors: Programming, Computer Science Education, Metacognition, Computer Simulation
Peer reviewed Peer reviewed
Direct linkDirect link
Rodrigo Duran; Silvia Amélia Bim; Itana Gimenes; Leila Ribeiro; Ronaldo Celso Messias Correia – ACM Transactions on Computing Education, 2023
"Motivation": Enrollments in Brazilian computing degrees are at an all-time high, but graduation numbers have not increased at the same rate. Moreover, enrollment growth has mainly attracted male students, steadily expanding the gender gap in Brazilian computing programs. Such high attrition rates have a great economic impact and may…
Descriptors: Foreign Countries, Academic Persistence, Intention, Dropout Characteristics
Peer reviewed Peer reviewed
Direct linkDirect link
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
Braswell, Khalia M. – ProQuest LLC, 2023
Several studies have focused on how in-person informal CS learning programs like summer camps and after-school programs impact Black girls' intent to persist in Computer Science; however, virtual informal CS learning programs remain to be studied. This mixed-methods study uses Intersectional Computing and Social Cognitive Career Theory to examine…
Descriptors: Computer Science Education, Computer Simulation, Barriers, Academic Persistence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Daisy Ramirez; Sarah L. Rodriguez; Kathleen J. Lehman; Linda J. Sax – Journal Committed to Social Change on Race and Ethnicity, 2024
This qualitative study employs interviews to explore the process of computing identity development and maintenance among Latina undergraduate students, beginning from their experiences in introductory computing courses and extending beyond. The findings shed light on the significant influence of factors such as peer and faculty recognition,…
Descriptors: Females, Hispanic American Students, Student Attitudes, Self Concept
Tiffany Mary Ann Wilson – ProQuest LLC, 2024
National efforts have been made to increase STEM participation among racially marginalized individuals (Ro & Loya, 2015). However, women, especially African American women, remain underrepresented in STEM fields, particularly in engineering and computer science disciplines. The purpose of this basic interpretive qualitative study was to…
Descriptors: Academic Persistence, Females, African American Students, Engineering Education
Constance Barnes-Watson – ProQuest LLC, 2024
There is a purported shortage of employable labor in the tech workforce, yet Black, Indigenous, Women of Color (BIWOC) in urban centers struggle to find and sustain roles in "high-tech." The tech ecosystem is a CIS-gendered, white male heterosexual space that perpetuates and "ideal worker norm" (Kachchaf et al., 2015), which…
Descriptors: Computer Science Education, Intervention, Females, Urban Areas
Peer reviewed Peer reviewed
Direct linkDirect link
Jaumot-Pascual, Nuria; DeerInWater, Kathy; Ong, Maria; Silva, Christina B. – Cultural Studies of Science Education, 2023
This paper focuses on the undergraduate experiences in computer sciences (CS) disciplines of eight Native women and two-spirit undergraduates and how their values and experiences around the communal goal of giving back enable them to persist in computing. The paper draws from a one-year study that included participants across the U.S.A from…
Descriptors: Undergraduate Students, Computer Science Education, American Indian Students, Females
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Tan, Wee Lum; Venema, Sven – International Association for Development of the Information Society, 2019
One of the challenges that commencing university students in computing degree programs face is the difficulty in engaging with the abstract and complicated theories in the computing discipline. In particular, it is hard for beginner computer architecture students to visualise the link between the theory of digital logic and the behaviour of the…
Descriptors: Logical Thinking, Computer Science Education, Introductory Courses, Correlation
Previous Page | Next Page »
Pages: 1  |  2