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Lai, Rina P. Y. – ACM Transactions on Computing Education, 2022
Computational Thinking (CT), entailing both domain-general and domain-specific skills, is a competency fundamental to computing education and beyond. However, as a cross-domain competency, appropriate assessment design and method remain equivocal. Indeed, the majority of the existing assessments have a predominant focus on measuring programming…
Descriptors: Computer Assisted Testing, Computation, Thinking Skills, Computer Science Education
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Fang, Jian-Wen; Shao, Dan; Hwang, Gwo-Jen; Chang, Shao-Chen – Journal of Educational Computing Research, 2022
Scholars believe that computational thinking is one of the essential competencies of the 21st century and computer programming courses have been recognized as a potential means of fostering students' computational thinking. In tradition instruction, PFCT (problem identification, flow definition, coding, and testing) is a commonly adopted procedure…
Descriptors: Computation, Thinking Skills, Programming, Computer Science Education
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Yildirim, Osman Gazi; Ozdener, Nesrin – International Journal of Computer Science Education in Schools, 2022
The main goal of the current study is to develop a reliable instrument to measure programming anxiety in university students. A pool of 33 items based on extensive literature review and experts' opinions were created by researchers. The draft scale comprised three factors applied to 392 university students from two different universities in Turkey…
Descriptors: Anxiety, Undergraduate Students, Student Attitudes, Factor Analysis
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Gray, Lucinda; Taie, Soheyla; Lewis, Laurie – National Center for Education Statistics, 2022
This Data Point examines the education and certification qualifications of public school mathematics and computer science teachers in the United States before COVID-19. It uses data from the public school teacher data file of the 2017-18 National Teacher and Principal Survey (NTPS). This is a national sample survey of public and private K-12…
Descriptors: Teacher Qualifications, Public School Teachers, Mathematics Teachers, Computer Science Education
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Shi, Yang; Chi, Min; Barnes, Tiffany; Price, Thomas W. – International Educational Data Mining Society, 2022
Knowledge tracing (KT) models are a popular approach for predicting students' future performance at practice problems using their prior attempts. Though many innovations have been made in KT, most models including the state-of-the-art Deep KT (DKT) mainly leverage each student's response either as correct or incorrect, ignoring its content. In…
Descriptors: Programming, Knowledge Level, Prediction, Instructional Innovation
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Singla, Adish; Theodoropoulos, Nikitas – International Educational Data Mining Society, 2022
Block-based visual programming environments are increasingly used to introduce computing concepts to beginners. Given that programming tasks are open-ended and conceptual, novice students often struggle when learning in these environments. AI-driven programming tutors hold great promise in automatically assisting struggling students, and need…
Descriptors: Programming, Computer Science Education, Task Analysis, Introductory Courses
Bers, Marina Umaschi; Strawhacker, Amanda; Sullivan, Amanda – OECD Publishing, 2022
Computer programming and associated Computational Thinking (CT) skills are essential to thriving in today's academic and professional world. There has been a growing focus globally on fostering CT skills as well as on introducing computer programming concepts and languages beginning as early as kindergarten and pre-primary school. Tools,…
Descriptors: Early Childhood Education, Computation, Critical Thinking, Early Experience
Astrid K. Northrup – ProQuest LLC, 2022
Educational reform in the United States is often focused on upgrading school curricula in response to evolution in science, technology, and society. Wyoming is no exception. A 2001 Wyoming Supreme Court decision granted constitutional protection to every K-12 student in the state for a "fair, complete, and equal education, appropriate for the…
Descriptors: Elementary Secondary Education, Compulsory Education, Computer Science, Inservice Teacher Education
Noah G. Price – ProQuest LLC, 2022
Over the last decade the Bay Area region has witnessed a lack of diversity in Silicon Valley technology professions, a subject of current political and popular discourse. The California State University (CSU) system provides accessible higher education; the CSU system approach to accessible higher education affirms the distinctness of regions,…
Descriptors: Disproportionate Representation, Minority Group Students, Graduate Students, Females
Mohammed Alzaid – ProQuest LLC, 2022
Distributed self-assessments and reflections empower learners to take the lead on their knowledge gaining evaluation. Both provide essential elements for practice and self-regulation in learning settings. Nowadays, many sources for practice opportunities are made available to the learners, especially in the Computer Science (CS) and programming…
Descriptors: Learning Analytics, Self Evaluation (Individuals), Programming, Problem Solving
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Chung, Cheng-Yu; Awad, Nayif; Hsiao, I-Han – Australasian Journal of Educational Technology, 2021
Although numerous studies have demonstrated different ways that augmented reality (AR) can assist students to understand the learning content via contextualised visualisation, less explored is its effect on collaborative problem-solving (CPS) in computer programming. This study aims to investigate how AR affects a CPS in a programming task. We…
Descriptors: Problem Solving, Problem Based Learning, Cooperative Learning, Computer Simulation
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Seralidou, Eleni; Douligeris, Christos – Education and Information Technologies, 2021
The effective teaching of the concept of programming, where critical thinking is an important factor, is not so easy in secondary education. New teaching approaches, including, game-based learning, may provide a solution due to their inclusion of more fun and diverse activities but they still lack the active participation of the students in the…
Descriptors: Computer Science Education, Programming, Programming Languages, Educational Games
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Jocius, Robin; O'Byrne, W. Ian; Albert, Jennifer; Joshi, Deepti; Robinson, Richard; Andrews, Ashley – Educational Technology & Society, 2021
Despite increasing attention to the potential benefits of infusing computational thinking into content area classrooms, more research is needed to examine how teachers integrate disciplinary content and CT as part of their pedagogical practices. This study traces how middle and high school teachers (n = 24) drew on their existing knowledge and…
Descriptors: Computation, Thinking Skills, STEM Education, Faculty Development
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Haldeman, Georgiana; Babes-Vroman Monica; Tjang, Andrew; Nguyen, Thu D. – ACM Transactions on Computing Education, 2021
Autograding systems are being increasingly deployed to meet the challenges of teaching programming at scale. Studies show that formative feedback can greatly help novices learn programming. This work extends an autograder, enabling it to provide formative feedback on programming assignment submissions. Our methodology starts with the design of a…
Descriptors: Student Evaluation, Feedback (Response), Grading, Automation
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Ottemo, Andreas; Gonsalves, Allison J.; Danielsson, Anna T. – Gender and Education, 2021
Physics- and computer-related disciplines are strongly male dominated in Western higher education. Feminist research has demonstrated how this can be understood as reflecting a strong privileging of mind and rationality (over body/nature/emotions) in these disciplines, which harmonises with broader notions of masculinity as transcendental and…
Descriptors: Physics, Science Instruction, Computer Science Education, Gender Bias
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