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André Coners; Benjamin Matthies; Carolin Vollenberg; Julian Koch – Journal of Statistics and Data Science Education, 2025
The proficient handling of data can undoubtedly be regarded as a key skill for the future. However, the need for data competencies is not limited to traditional professions in the information technology environment but is rather necessary across industries and work fields. Consequently, there is a call to integrate such Data Literacy and Data…
Descriptors: Statistics Education, Higher Education, Information Science Education, Computer Science Education
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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
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Lucietto, Anne; Buckner, Holden; Munguia, Antonia – Journal of College Science Teaching, 2023
Prior research in student retention emphasizes that building students' connections with the institution and their peers is key. Students from underrepresented populations often lack these connections, making them more prone to dropping out or transferring majors, especially in high-pressure engineering and polytechnic programs. In this article, we…
Descriptors: School Holding Power, Graduation Rate, Females, Engineering Education
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Vasa Buraphadeja; Vilasinee Srisarkun – Discover Education, 2024
This study investigates the implementation and impact of mastery learning in a computer science course, particularly during the transition from traditional teaching methods to mastery learning amidst the COVID-19 pandemic. Employing a longitudinal research methodology, the study integrates a multi-faceted data collection approach, including…
Descriptors: Mastery Learning, COVID-19, Pandemics, Teaching Methods
Jing Liu; Cameron Conrad; David Blazar – Annenberg Institute for School Reform at Brown University, 2024
This study provides the first causal analysis of the impact of expanding Computer Science (CS) education in U.S. K-12 schools on students' choice of college major and early career outcomes. Utilizing rich longitudinal data from Maryland, we exploit variation from the staggered rollout of CS course offerings across high schools. Our findings…
Descriptors: Computer Science Education, Equal Education, Access to Education, Majors (Students)
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Perry, Anthony M. – Journal of Research in Technical Careers, 2022
Computing and information sciences (CIS) careers in the United States are expected to grow faster than the average occupation between 2019 and 2029 and educational requirements for these positions span subbaccalaureate and baccalaureate degrees. Despite secondary curricular interventions, the population of people who pursue CIS pathways are not…
Descriptors: Postsecondary Education, Computer Science Education, Diversity, High School Students
Hodges, Jaret; Mun, Rachel U.; Oveross, Mattie E.; Ottwein, Jessica K. – Gifted Child Quarterly, 2021
Lewis M. Terman's "Genetic Studies of Genius" stands as one of the landmark studies of the 20th century in the educational and psychological sciences. This longitudinal study of individuals in the top 1% of general cognitive ability has sparked interest and debate among scholars for nearly 100 years. In this study, we examine how…
Descriptors: Academically Gifted, Cognitive Ability, Intelligence Quotient, Bibliometrics
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DeLiema, David; Kwon, Yejin Angela; Chisholm, Andrea; Williams, Immanuel; Dahn, Maggie; Flood, Virginia J.; Abrahamson, Dor; Steen, Francis F. – Cognition and Instruction, 2023
When teachers, researchers, and students describe productively responding to moments of failure in the learning process, what might this mean? Blending prior theoretical and empirical research on the relationship between failure and learning, and empirical results from four data sets that are part of a larger design-based research project, we…
Descriptors: Guidelines, Learning Processes, Correlation, Failure
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Onah, Daniel F. O.; Pang, Elaine L. L.; Sinclair, Jane E. – International Journal of Information and Learning Technology, 2022
Purpose: Massive open online courses (MOOCs) provide an innovative educational technology, which has become widely used for distance learning by independent learners. However, there has been little work so far to study the effects of using MOOCs as part of a blended classroom approach in which learning activities take place both online and in a…
Descriptors: Metacognition, Blended Learning, Computer Science Education, MOOCs
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Lyon, Louise Ann; Green, Emily – Computer Science Education, 2020
Background and Context: Non-traditional training grounds such as coding boot camps that attract a higher proportion of women are important sites for understanding how to broaden participation in computing. Objective: This work aims to help us better understand the women choosing boot camps and their pathways through these camps and into the…
Descriptors: Coding, Females, Nontraditional Education, Computer Science Education
Maria-Dorinela Dascalu; Stefan Ruseti; Mihai Dascalu; Danielle S. McNamara; Stefan Trausan-Matu – Grantee Submission, 2022
The use of technology as a facilitator in learning environments has become increasingly prevalent with the global pandemic caused by COVID-19. As such, computer-supported collaborative learning (CSCL) gains a wider adoption in contrast to traditional learning methods. At the same time, the need for automated tools capable of assessing and…
Descriptors: Computational Linguistics, Longitudinal Studies, Technology Uses in Education, Teaching Methods
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Nitzan-Tamar, Ortal; Kohen, Zehavit – International Journal of STEM Education, 2022
STEM (Science, Technology, Engineering, and Mathematics) fields are in high demand for qualified personnel worldwide, yet drop-out rates of a career path in STEM occur at various points in lifespan. Based on a big-data analysis of 534,590 records retrieved from the Israeli Central Bureau of Statistics for several points in time over one and a half…
Descriptors: Secondary School Students, STEM Education, Foreign Countries, Supply and Demand
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Dursun, Ozcan Ozgur – Contemporary Educational Technology, 2019
This study investigates the changes in self-efficacy perceptions, professional self-esteem, and attitudes towards the teaching profession of pre-service information technology teachers in accordance with their academic achievement and career choices. A longitudinal research was conducted over a four-year time period with participation of 40…
Descriptors: Preservice Teachers, Information Technology, Self Efficacy, Self Esteem
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Sax, Linda J.; Lehman, Kathleen J.; Jacobs, Jerry A.; Kanny, M. Allison; Lim, Gloria; Monje-Paulson, Laura; Zimmerman, Hilary B. – Journal of Higher Education, 2017
Given growing interest in computing fields, as well as a longstanding gender gap in computer science, this study used nationwide survey data on college students during 4 decades to: (a) document trends in aspirations to major in computer science among undergraduate women and men; (b) explore the characteristics of women and men who choose to major…
Descriptors: Computer Science Education, Undergraduate Students, Gender Differences, Majors (Students)
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Peters, Anne-Kathrin – Contributions from Science Education Research, 2019
Decades of research on engagement, retention, and under-representation in STEM conclude that a better understanding of learner development as a long-term, social process is needed. Social identity theory is increasingly used to understand the interplay between individual development and social structure. The present report summarises findings from…
Descriptors: Computer Science Education, Self Concept, Longitudinal Studies, STEM Education
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