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Nikolaos Pellas – Journal of Educational Computing Research, 2024
Educational technologists and practitioners have made substantial strides in developing affordable digital and tangible resources to support both formal and informal computer science instruction. However, there is a lack of research on practice-based assignments, such as Internet of Things (IoT) projects, that allow undergraduate students to…
Descriptors: Computation, Thinking Skills, Learning Motivation, Academic Persistence
Matthew Bahnson; Allison Godwin; Christian Schunn; Eric McChesney; Linda DeAngelo – International Journal of STEM Education, 2025
Background: The demand for engineers in the workforce continues to rise, which requires increased retention and degree completion at the undergraduate level. Engineering educators need to better understand opportunities to retain students in engineering majors. A strong sense of belonging in engineering represents one important contributor to…
Descriptors: Academic Persistence, Engineering Education, Sense of Belonging, Intervention
Lin, Guan-Yu; Liao, Yi-Wen; Su, Zhi-Yuan; Wang, Yu-Min; Wang, Yi-Shun – Education and Information Technologies, 2023
This study attempts to: (a) investigate whether positive and negative emotions mediate the pathways linking self-efficacy for learning programming with effort and persistence in undergraduates' learning Scratch programming combining with a programmable hardware platform (i.e., Arduino), and (b) assess the effect of academic major (i.e.,…
Descriptors: Undergraduate Students, Academic Persistence, Programming, Self Efficacy
Wenrui Huang; Dajanae Palmer; Ekaete Udoh; Yung Chun; Jason Jabbari – Annenberg Institute for School Reform at Brown University, 2025
The shortage of STEM workers, particularly in computer science, is compounded by the underrepresentation of women and certain minoritized racial/ethnic groups in these fields. Efforts to address worker shortages and broaden participation include improving traditional STEM education pathways and creating alternative pathways. While persistence has…
Descriptors: STEM Education, Programming, Internship Programs, Minority Group Students
Busra Ozmen Yagiz; Ecenaz Alemdag – Education and Information Technologies, 2025
Resilience is a critical personality trait that allows one to deal with difficulties, learn from failures, and maintain a positive attitude during task performance. However, it has not been understudied in a complex and challenging educational domain. The current research intends to address this gap by analyzing the specific characteristics of…
Descriptors: Foreign Countries, Undergraduate Students, Resilience (Psychology), Programming
Antti-Jussi Lakanen; Ville Isomöttönen – Informatics in Education, 2023
This research investigates university students' success in their first programming course (CS1) in relation to their motivation, mathematical ability, programming self-efficacy, and initial goal setting. To our knowledge, these constructs have not been measured in a single study before in the Finnish context. The selection of the constructs is in…
Descriptors: Foreign Countries, College Students, Student Motivation, Self Efficacy
Flores, Rejeenald M.; Rodrigo, Ma. Mercedes T. – Journal of Educational Computing Research, 2020
Wheel-spinning refers to the failure to master a skill in a timely manner or after a considerable number of practice opportunities. Several past studies have developed wheel-spinning models in the areas of Mathematics and Physics. However, no models have been made for the context of novice programming. The purpose of this study was to develop…
Descriptors: Mastery Learning, Novices, Programming, Computer Science Education
Denis Zhidkikh; Ville Heilala; Charlotte Van Petegem; Peter Dawyndt; Miitta Jarvinen; Sami Viitanen; Bram De Wever; Bart Mesuere; Vesa Lappalainen; Lauri Kettunen; Raija Hämäläinen – Journal of Learning Analytics, 2024
Predictive learning analytics has been widely explored in educational research to improve student retention and academic success in an introductory programming course in computer science (CS1). General-purpose and interpretable dropout predictions still pose a challenge. Our study aims to reproduce and extend the data analysis of a privacy-first…
Descriptors: Learning Analytics, Prediction, School Holding Power, Academic Achievement
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
Zhao, Dan; Muntean, Cristina Hava; Chis, Adriana E.; Muntean, Gabriel-Miro – IEEE Transactions on Education, 2021
Contribution: This research study deploys three serious games with various topics in an entry-level C Programming module and investigates students' learning outcomes. The study also explores whether learners belonging to different subgroups benefit more from the use of serious games than their peers. The subgroups are formed based on learner…
Descriptors: Programming, Programming Languages, Teaching Methods, Computer Games
Alex Fegely; Cory Gleasman; Tammi Kolski – Educational Technology Research and Development, 2024
Computer science teaching standards for grades K-8 have been implemented in nearly all U.S. states, and the core subject area teachers (e.g., math, science, English, social studies) have been asked to integrate these standards into their instruction. Thus, it is important that K-8 pre-service teachers of all subjects are both prepared and…
Descriptors: Educational Technology, Robotics, Shared Resources and Services, Preservice Teacher Education
Philip Sands – ProQuest LLC, 2021
Over the past 20 years, the field of computer science has experienced a growth in student interest. Despite this increase in participation rates, longstanding gender gaps persist in computer science. Recent research has examined a wide variety of individual factors (e.g., self-efficacy, sense of belonging, etc.) that impact student interest and…
Descriptors: Computer Science Education, Gender Differences, Prior Learning, Programming
Pair Programming in Perspective: Effects on Persistence, Achievement, and Equity in Computer Science
Bowman, Nicholas A.; Jarratt, Lindsay; Culver, K. C.; Segre, Alberto M. – Journal of Research on Educational Effectiveness, 2020
Pair programming is a form of collaborative learning in computer science that involves two students working together on a coding project. Previous research has identified mostly positive outcomes from this practice, such as course grades and the quality of the resulting code. Pair programming may also facilitate interactions that improve the…
Descriptors: Cooperative Learning, Programming, Computer Science, Academic Persistence
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
Kurzweil, Martin – Change: The Magazine of Higher Learning, 2018
Postsecondary training--and a credential recognizing it--have become all but essential in the twenty-first-century economy. The reasons for this are complex, but rapid innovation in services and products--including the increasing integration of technology--and the resulting evolving nature of work are surely factors. These shifts have placed a…
Descriptors: Postsecondary Education, Nontraditional Education, Nontraditional Students, Costs
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