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Jegede, Philip Olu; Olajubu, Emmanuel Ajayi; Ejidokun, Adekunle Olugbenga; Elesemoyo, Isaac Oluwafemi – Journal of Information Technology Education: Innovations in Practice, 2019
Aim/Purpose: The study examined types of errors made by novice programmers in different Java concepts with students of different ability levels in programming as well as the perceived causes of such errors. Background: To improve code writing and debugging skills, efforts have been made to taxonomize programming errors and their causes. However,…
Descriptors: Programming Languages, Programming, Low Achievement, High Achievement
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Durak, Hatice Yildiz; Yilmaz, Fatma Gizem Karaoglan; Yilmaz, Ramazan – Contemporary Educational Technology, 2019
The purpose of this study was to determine the skill levels of secondary school students regarding computational thinking, programming self-efficacy and reflective thinking aimed at problem solving and examine their experiences in the programming training process on robotic activities. Toward this purpose, a 10-week application was conducted with…
Descriptors: Computation, Thinking Skills, Programming, Computer Science Education
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Biju, Soly Mathew – Athens Journal of Education, 2019
The purpose of this study is to examine the impact of peer tutoring program as compared to classroom tutoring on problem solving and algorithm development skills of higher education students in Computer Sciences. Peer tutoring has emerged as one of the most effective mechanisms of enabling learning and improving academic performance of students at…
Descriptors: Peer Teaching, Teaching Methods, Problem Solving, College Students
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Park, Jungho – International Journal of Higher Education, 2019
In the field of K-12 education, the demand for effective coding education is gradually expanding with various coding tools such as Scratch being popularly used as an effective learning environment. However, an answer to the question of what constitutes appropriate computing concepts for children (e.g. elementary school students) has not been fully…
Descriptors: Fairy Tales, Elementary School Students, Coding, Computer Science Education
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do Amaral, Barbara; Windchief, Sweeney – Educational Research: Theory and Practice, 2019
Alignment with the Montana Indian Education for All (IEFA) Act, tenets of Tribal Critical Race Theory (TribalCrit) (Brayboy, 2006) and the 7 Essential Understandings, results in the effective integration of Computer Science and Storytelling into the classroom. Teacher disposition and pedagogies that reflect current education transformation trends…
Descriptors: American Indian Education, Equal Education, Computer Science Education, Computation
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Yadav, Aman; Berges, Marc – ACM Transactions on Computing Education, 2019
Computer science education efforts are expanding across the globe to equip students with the necessary computing skills for today's digital world. However, preparing students to become literate in computing activities requires the training of tens of thousands of teachers in computer science. The discrepancy between student needs and teacher…
Descriptors: Computer Science Education, Pedagogical Content Knowledge, Computer Literacy, Knowledge Level
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Keuning, Hieke; Jeuring, Johan; Heeren, Bastiaan – ACM Transactions on Computing Education, 2019
Formative feedback, aimed at helping students to improve their work, is an important factor in learning. Many tools that offer programming exercises provide automated feedback on student solutions. We have performed a systematic literature review to find out what kind of feedback is provided, which techniques are used to generate the feedback, how…
Descriptors: Programming, Teaching Methods, Computer Science Education, Feedback (Response)
Kos, Brittany Ann – ProQuest LLC, 2019
Student hackathons are a type of demographic-specific event that are aimed at college students. Students may attend hackathons because they provide an opportunity for informal learning, networking, and building products for social change Hackathons are usually designed to give their participants opportunities to learn or expand their technical…
Descriptors: Computer Science Education, Informal Education, Incidental Learning, Student Experience
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Lane, Mathew; Hui, Wendy; Murcia, Karen; Wongthongtham, Pornpit – International Association for Development of the Information Society, 2019
This article is an exploratory analysis and comparison of the demographic distributions of data collected from the 2016 New Coder Survey, with that obtained from the Integrated Postsecondary Education Data System (IPEDS). In comparing the data sets, the findings suggest that overall females were more likely to engage in online self-paced coding…
Descriptors: Electronic Learning, Coding, Computer Science Education, Postsecondary Education
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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
Domeika, Lee; Miller, Lauren; O'Connor, Anna – Jobs for the Future, 2022
The Work-Based Courses Blueprint is a foundational guide for all Tennessee SySTEM school sites engaged in designing and developing work-based courses for 11th and 12th grade students. Specifically, this blueprint covers pertinent work-based courses topics such as building a work-based course team, course design, and course delivery. The blueprint…
Descriptors: High School Students, Grade 11, Grade 12, STEM Education
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Kanaki, Kalliopi; Kalogiannakis, Michail – Educational Process: International Journal, 2022
Background/purpose: In terms of computational thinking core facets, algorithmic thinking is a key competency applicable not only in Computer Science but also in aspects of daily life. Considering the global phenomenon of gender stereotypes with regards to the academic and professional orientation in STEM fields, we focused on investigating the…
Descriptors: Thinking Skills, Gender Differences, STEM Education, Equal Education
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Prado, Yenda; Jacob, Sharin; Warschauer, Mark – Computer Science Education, 2022
Background and Context: Computational Thinking (CT) is a skill all students should learn. This requires using inclusive approaches to teach CT to a wide spectrum of students. However, strategies for teaching CT to students with exceptionalities are not well studied. Objective: This study draws on lessons learned in two fourth-grade classrooms --…
Descriptors: Thinking Skills, Computer Science Education, Special Education, Teaching Methods
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Sax, Linda J.; Newhouse, Kaitlin N. S.; Goode, Joanna; Nakajima, Tomoko M.; Skorodinsky, Max; Sendowski, Michelle – ACM Transactions on Computing Education, 2022
The Advanced Placement Computer Science Principles (APCSP) course was introduced in 2016 to address long-standing gender and racial/ethnic disparities in the United States among students taking Advanced Placement Computer Science (APCS) in high school, as well as among those who pursued computing majors in college. Although APCSP has drawn a more…
Descriptors: Advanced Placement Programs, Computer Science Education, Equal Education, High School Students
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Shapiro, Ben Rydal; Meng, Amanda; Rothschild, Annabel; Gilliam, Sierra; Garrett, Cicely; DiSalvo, Carl; DiSalvo, Betsy – Educational Technology & Society, 2022
Informed by critical data literacy efforts to promote social justice, this paper uses qualitative methods and data collected during two years of workplace ethnography to characterize the notion of critical novice data work. Specifically, we analyze everyday language used by novice data workers at DataWorks, an organization that trains and employs…
Descriptors: Data Analysis, Visual Aids, Novices, Work Environment
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