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In 202523
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Büsra Kartal; Ugur Basarmak – Educational Studies, 2024
This multiple case study sought to examine preservice computer science teachers' beliefs, motivational orientations, and teaching practices, as currently, they remain to be adequately researched. Eight participants were selected via maximum variation sampling for this study of trainee teachers during their first practicums in Turkey. Trainee…
Descriptors: Preservice Teachers, Computer Science Education, Beliefs, Teacher Attitudes
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Rayed AlGhamdi – Education and Information Technologies, 2024
This research investigates the impact of ChatGPT-generated feedback on the writing skills of first-year computing students at a Saudi University. Employing a qualitative research design, the study involved 111 male students, blinded to the switch from human to ChatGPT-generated feedback, ensuring unbiased reflections on their experiences. Over six…
Descriptors: Artificial Intelligence, Feedback (Response), Technical Writing, Writing Skills
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Haipeng Wan; Xue Zhang; Xinxue Yang; Shan Li – Education and Information Technologies, 2024
This study investigated the impact of problematization-oriented scaffolding and structuring-oriented scaffolding, incorporated within instructional videos, on students' computational thinking and their performance in programming education. We recruited 86 participants from three senior classes at a high school. Each of the three classes was…
Descriptors: Scaffolding (Teaching Technique), Instructional Design, Thinking Skills, Computer Science Education
Jill H. Westerlund – ProQuest LLC, 2024
Computer science (CS) education has experienced rapid growth over the past decade with student demand leading to new courses or course pathways being offered in K-12 educational settings. Student demand has been matched by parent/community and technology industry support. Educators have quickly responded to the demand by expanding course…
Descriptors: Barriers, Computer Science Education, Educational Practices, Educational Technology
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Moon-Heum Cho; Lei Zhang; Seongmi Lim; Seokwon Hwang – Distance Education, 2024
Although higher education institutions offer self-paced massive open online courses (MOOCs) on platforms like edX, little systematic effort has been made to examine their instructional design features. The purpose of this study was, therefore, to review self-paced MOOCs on edX and examine their instructional design features for those interested in…
Descriptors: Instructional Design, MOOCs, Pacing, Higher Education
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Anna Perez; Maria Svensson; Jonas Hallström – Design and Technology Education, 2024
This study explores the changing landscape of technology teacher education, in relation to the increasing integration of digital content, especially programming, in teacher education for grades 4-6 (pupils 10-12 years old) and how student teachers in Sweden perceive this content. Limited research exists on student teachers in technology,…
Descriptors: Teacher Education, Programming, Computer Science Education, Student Teachers
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Peter Hu; Yangqiuting Li; Chandralekha Singh – Physical Review Physics Education Research, 2024
Quantum information science and engineering (QISE) is a rapidly developing field that leverages the skills of experts from many disciplines to utilize the potential of quantum systems in a variety of applications. It requires talent from a wide variety of traditional fields, including physics, engineering, chemistry, and computer science, to name…
Descriptors: Quantum Mechanics, Computer Science Education, Inquiry, Teaching Methods
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Paola Iannone; Athina Thoma – International Journal of Mathematical Education in Science and Technology, 2024
Programming is becoming increasingly common in mathematics degrees as it is a desirable skill for new graduates. However, research shows that its use is mostly restricted to computational or modelling tasks. This paper reports a study on students' perceptions of and difficulties with Lean, an interactive theorem prover introduced as part of a…
Descriptors: Programming, Mathematics Instruction, Computer Science Education, Student Attitudes
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Tolga Kurt; Burcu Anilan – Shanlax International Journal of Education, 2024
This study aims to determine the opinions of science teachers on robotics coding, which is one of the prominent applications in recent times and is expected to be integrated into education. The research was designed as a case study, one of the qualitative research methods. The study group of the research consists of 12 science teachers.…
Descriptors: Robotics, Science Teachers, Science Instruction, Usability
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Fadip Audu Nannim; Nnenna Ekpereka Ibezim; Basil C. E. Oguguo; Emmanuel Chinweike Nwangwu – Education and Information Technologies, 2024
This study investigated the effect of project-based Arduino robot application on students' computational thinking skills development in robotics programming course using the quasi-experimental research design. The participants consist of 73 students in tertiary institutions in South-East Nigeria that offer Computer and Robotics Education…
Descriptors: Robotics, Computation, Thinking Skills, Skill Development
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Grace Leah Akinyi; Robert Oboko; Lawrence Muchemi – Electronic Journal of e-Learning, 2024
The future of university learning in Sub-Saharan Africa has become increasingly digitally transformed by both e-Learning, and learning analytics, post-COVID-19 pandemic. Learning analytics intervention is critical for effective support of socially-shared regulated learning skills, which are crucial for twenty-first-century e-Learners.…
Descriptors: Electronic Learning, Student Attitudes, Learning Analytics, Feedback (Response)
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Arun-Balajiee Lekshmi-Narayanan; Priti Oli; Jeevan Chapagain; Mohammad Hassany; Rabin Banjade; Vasile Rus – Grantee Submission, 2024
Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…
Descriptors: Coding, Computer Science Education, Computational Linguistics, Artificial Intelligence
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Sunil Hazari – Journal of Educational Research and Practice, 2024
In this article, I present a justification for implementing AI literacy courses in higher education. I explore the ethical concerns and biases surrounding AI technologies, highlighting the importance of critical analysis and responsible use of AI. I then propose a conceptual framework, focusing on awareness, skill development, and the practical…
Descriptors: Artificial Intelligence, Higher Education, Critical Thinking, Innovation
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Michael Lachney; Briana Green; Aman Yadav; Matt Drazin; Madison C. Allen Kuyenga; Andre Harris – Educational Technology Research and Development, 2024
In the United States, culturally responsive computing is a framework that aims to support broadening the participation of racially and linguistically diverse children in computing and technology education through bottom-up interventions that are community-oriented, technology rich, and culturally dynamic. Despite the important role that youth…
Descriptors: Culturally Relevant Education, Computer Uses in Education, Athletics, Computer Science Education
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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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