NotesFAQContact Us
Collection
Advanced
Search Tips
Source
Computer Science Education17
Audience
Laws, Policies, & Programs
Assessments and Surveys
Motivated Strategies for…1
What Works Clearinghouse Rating
Showing 1 to 15 of 17 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Vandenberg, Jessica; Lynch, Collin; Boyer, Kristy Elizabeth; Wiebe, Eric – Computer Science Education, 2023
Background and Context: Students' self-efficacy toward computing affect their participation in related tasks and courses. Self-efficacy is likely influenced by students' initial experiences and exposure to computer science (CS) activities. Moreover, student interest in a subject likely informs their ability to effectively regulate their learning…
Descriptors: Elementary School Students, Cooperative Learning, Programming, Network Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Luis Morales-Navarro; Michael T. Giang; Deborah A. Fields; Yasmin B. Kafai – Computer Science Education, 2024
Background and Context: Few instruments exist to measure students' CS engagement and learning especially in areas where coding happens with creative, project-based learning and in regard to students' self-beliefs about computing. Objective: We introduce the CS Interests and Beliefs Inventory (CSIBI), an instrument designed for novice secondary…
Descriptors: Computer Science Education, Student Attitudes, Beliefs, Self Concept
Peer reviewed Peer reviewed
Direct linkDirect link
Zdawczyk, Christina; Varma, Keisha – Computer Science Education, 2023
Background and Context: A continued gender disparity has driven a need for effective interventions for recruiting girls to computer science. Prior research has demonstrated that middle school girls hold beliefs and attitudes that keep them from learning computer science, which can be mitigated through classroom design. Objective: This study…
Descriptors: Females, Computer Science Education, Gender Differences, Student Attitudes
Peer reviewed Peer reviewed
Direct linkDirect link
Amanda A. Barrett; Colin T. Smith; Courtni H. Hafen; Emilee Severe; Elizabeth G. Bailey – Computer Science Education, 2024
Background and Context: While biology has strong female representation, computer science is the least gender equitable of the STEM fields. A better understanding of the barriers that keep women out of computational fields will help overcome those barriers to create a more diverse workforce. Objective: We investigated the complexities that…
Descriptors: Sex Role, Majors (Students), Prior Learning, Computer Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
Teresa M. Ober; Ying Cheng; Meghan R. Coggins; Paul Brenner; Janice Zdankus; Philip Gonsalves; Emmanuel Johnson; Tim Urdan – Computer Science Education, 2024
Background and Context: Differences in children's and adolescents' initial attitudes about computing and other STEM fields may form during middle school and shape decisions leading to career entry. Early emerging differences in career interest may propagate a lack of diversity in computer science and programming fields. Objective: Though middle…
Descriptors: Middle School Students, Student Attitudes, Computer Science Education, STEM Education
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Campe, Shannon; Denner, Jill; Green, Emily; Torres, David – Computer Science Education, 2020
Background and Context: Pair programming is used in classrooms to promote learning and engage a more diverse group of students in computing fields, but little is known about what it looks like in middle school. Objective: The aim of this study was to examine how programming pairs were interacting and about what. Method: Video, audio, and screen…
Descriptors: Cooperative Learning, Programming, Computer Science Education, Middle School Students
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Nasser-Abu Alhija, Fadia; Levi-Eliyahu, Orna – Computer Science Education, 2019
Background and Context: Understanding the effects of learner characteristics and perceived learning environment on achievement in academic fields including Computer Science (CS) is of critical importance. Objective: This study aimed at testing a hypothesized model of achievement in CS in terms of the learner and the learning environment…
Descriptors: Computer Science Education, Grade 11, Grade 12, High School Students
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Kreth, Quintin; Spirou, Mary Eve; Budenstein, Sarabeth; Melkers, Julia – Computer Science Education, 2019
Background & Context: As graduate programs in computing expand to online environments, existing research is limited in its ability to inform both practical and theoretical understandings of the factors influencing student success. Objective: We explore student perceptions of their learning environment at the understudied intersection of online…
Descriptors: Prior Learning, Self Efficacy, Graduate Students, Electronic Learning
Peer reviewed Peer reviewed
Direct linkDirect link
Beyer, Sylvia – Computer Science Education, 2014
This study addresses why women are underrepresented in Computer Science (CS). Data from 1319 American first-year college students (872 female and 447 male) indicate that gender differences in computer self-efficacy, stereotypes, interests, values, interpersonal orientation, and personality exist. If students had had a positive experience in their…
Descriptors: Computer Science Education, Females, Womens Education, Disproportionate Representation
Peer reviewed Peer reviewed
Direct linkDirect link
Kinnunen, Paivi; Simon, Beth – Computer Science Education, 2012
This article provides insight into how computing majors experience the process of doing programming assignments in their first programming course. This grounded theory study sheds light on the various processes and contexts through which students constantly assess their self-efficacy as a programmer. The data consists of a series of four…
Descriptors: Grounded Theory, Majors (Students), Assignments, Self Efficacy
Peer reviewed Peer reviewed
Direct linkDirect link
Doube, Wendy; Lang, Catherine – Computer Science Education, 2012
A multimedia university programme with relatively equal numbers of male and female students in elective programming subjects provided a rare opportunity to investigate female motivation to study and pursue computer programming in a career. The MSLQ was used to survey 85 participants. In common with research into deterrence of females from STEM…
Descriptors: Foreign Countries, Sex Stereotypes, Females, Self Efficacy
Previous Page | Next Page ยป
Pages: 1  |  2