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Showing 1 to 15 of 25 results Save | Export
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Quinn McCashin; Catherine Adams; Michael Carbonaro; Lance Pedersen – Alberta Journal of Educational Research, 2023
Computer Science (CS) education is an emergent growth area in schools worldwide. This paper explores how CS education has evolved at the high school level (grades 10-12) in the Canadian province of Alberta over the past decade after a reorganization and curriculum redesign of its Computing Science Education (CSE) program. In partnership with…
Descriptors: Computer Science Education, Foreign Countries, High School Students, Curriculum Design
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Nicholas A. Bowman; Federick J. Ngo; Jeongmin Ji – Review of Higher Education, 2025
Research has frequently demonstrated negative effects of placing students into developmental education, but very little inquiry has considered the impact of placing students into different levels of non-developmental coursework. The present study explored this issue within sequenced pairs of STEM gateway courses using doubly-robust propensity…
Descriptors: Student Placement, STEM Education, Outcomes of Education, Undergraduate Students
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Gabbay, Hagit; Cohen, Anat – International Educational Data Mining Society, 2022
The challenge of learning programming in a MOOC is twofold: acquiring programming skills and learning online, independently. Automated testing and feedback systems, often offered in programming courses, may scaffold MOOC learners by providing immediate feedback and unlimited re-submissions of code assignments. However, research still lacks…
Descriptors: Automation, Feedback (Response), Student Behavior, MOOCs
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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
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Sandie Han; Nadia Stoyanova Kennedy; Diana Samaroo; Urmi Duttagupta – PRIMUS, 2024
This paper describes the implementation of a STEM scholarship program which utilized a holistic approach to providing a multi-dimensional student support system. The program has been successful in encouraging and supporting women in Applied Mathematics and Computer Science by offering a diverse suite of extracurricular opportunities, actively…
Descriptors: Undergraduate Students, Females, Mathematics Education, Computer Science Education
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Rosalinda Garcia; Patricia Morreale; Lara Letaw; Amreeta Chatterjee; Pankati Patel; Sarah Yang; Isaac Tijerina Escobar; Geraldine Jimena Noa; Margaret Burnett – ACM Transactions on Computing Education, 2023
What if "regular" Computer Science (CS) faculty each taught elements of inclusive design in "regular" CS courses across an undergraduate curriculum? Would it affect the CS program's climate and inclusiveness to diverse students? Would it improve retention? Would students learn less CS? Would they actually learn any inclusive…
Descriptors: Computer Science Education, Undergraduate Study, College Faculty, Inclusion
Sarah L. Rodriguez – Harvard Education Press, 2025
In "Supporting Latina Students in Engineering and Computing," Sarah L. Rodriguez presents a series of evidence-based strategies to foster a sense of belonging and inclusion among Latina students in engineering and computing programs. This work emphasizes the need for asset-based, culturally rooted perspectives to shift departmental…
Descriptors: Hispanic American Students, Engineering Education, Computer Science Education, Evidence Based Practice
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
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Maral Kargarmoakhar; Monique Ross; Zahra Hazari; Stephen Secules; Mark Allen Weiss; Michael Georgiopoulos; Kenneth Christensen; Tiana Solis – ACM Transactions on Computing Education, 2024
While computing programs in the U.S. are experiencing growth in enrollment trends, they are still grappling with matters related to retention and persistence of computing undergraduates. One construct identified by scholars as having an impact on persistence in computing is computing identity, which is shaped by constructs such as recognition,…
Descriptors: Communities of Practice, Scholarships, Computer Science Education, Self Concept
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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
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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
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McFarlane, Rachelle; Wallder, Stephen R. – Voices in Education, 2021
The COVID-19 pandemic has significantly impacted education provision and access across the globe. One key aspect affected is academic advisement, vital to a student's university experience for enhancing success and engagement. While recognizing disparities between academic advisement and student progression at the University of Technology,…
Descriptors: Learner Engagement, Academic Achievement, Academic Advising, Faculty Advisers
Assignon, Selom – ProQuest LLC, 2018
The problem of low student completion rates in distance learning courses remains one of the major issues that institutions of higher learning face. Efforts by school administrators to reverse this trend have so far produced mixed results. The rapid expansion of distance learning has encouraged many institutions to move more courses online,…
Descriptors: Academic Achievement, Computer Science Education, Online Courses, Distance Education
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Pappas, Ilias O.; Giannakos, Michail N.; Jaccheri, Letizia; Sampson, Demetrios G. – ACM Transactions on Computing Education, 2017
This study uses complexity theory to understand the causal patterns of factors that stimulate students' intention to continue studies in computer science (CS). To this end, it identifies gains and barriers as essential factors in CS education, including motivation and learning performance, and proposes a conceptual model along with research…
Descriptors: Intention, Student Behavior, Computer Science Education, Barriers
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Cheng, Tao-Ming; Hou, Hsing-Yu; Agrawal, Dinesh Chandra; Liaw, Ching-Fang; Chen, Rung-Ching – Asia Pacific Journal of Education, 2018
Potential high-risk freshmen for three core courses (BasicMath, Calculus, and Computing) in the university were identified based on the "College Students' Adjustment Check List (CSACL)" data available with the Student Development Centre in the Office of Students' Affairs of the university. The study demonstrates that to ameliorate the…
Descriptors: At Risk Students, College Freshmen, Student Adjustment, Check Lists
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