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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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Wesley Beccaro; Elisabete Galeazzo; Denise Consonni; Henrique E. Maldonado Peres; Leopoldo R. Yoshioka – IEEE Transactions on Education, 2024
Contribution: The evaluation of analog-to-digital conversion methods constitutes a key component of an Instrumentation course. This study introduces an affordable educational platform based on Arduino UNO board designed for teaching analog-to-digital conversion concepts, supported by virtual instruments (VIs). Background: ADCs are electronic…
Descriptors: Engineering Education, Learning Management Systems, Teaching Methods, Computer Simulation
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Yuchen Chen; Yun-Fang Tu; Xinli Zhang; Gwo-Jen Hwang – Educational Technology & Society, 2024
As technology-enhanced children's learning has gained wide attention, programmable robots have been gradually introduced in early childhood education. Hence, it would be valuable to understand how young children perceive robot programming learning. Draw-a-picture technique is an ideal method to elicit ideas, thoughts, and feelings for children…
Descriptors: Robotics, Computer Science Education, Gender Differences, Freehand Drawing
Cynthia Pickering – ProQuest LLC, 2024
The nation's need for a diverse and competent Science, Technology, Engineering, and Mathematics (STEM) workforce contributing to economic growth, global competitiveness, and innovation is a primary policy driver for broadening participation in STEM. Yet, social justice and ethics policies dating as far back as the civil rights movement and earlier…
Descriptors: Student Participation, STEM Education, Work Experience Programs, Undergraduate Students
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G. S. Prakasha; R. Sanskriti; B. Ishani – Journal of Educators Online, 2024
The introduction of Chat Generative Pre-Trained Transformer (ChatGPT) in November 2022 brought about rapid changes in the workplace and academia. Its usage ranged from student assignments to workplace targets in the engineering field. Although it has brought novel ideas to its application in various fields and task efficiency in the workplace, its…
Descriptors: Users (Information), Artificial Intelligence, Computer Software, Synchronous Communication
Rosalia Arellano Gomez – ProQuest LLC, 2024
The increasing demand for a computationally trained workforce that reflects Latinx population growth in America has encouraged institutions to revisit exclusionary practices and develop initiatives that support Latinx undergraduate student persistence in Computer Science (CS). CS is necessary not only to keep pace with the rapid change in…
Descriptors: Sense of Community, First Generation College Students, Hispanic American Students, Computer Science Education
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Steven Worker; Fe Moncloa; Vernelle Mitchell-Hawkins – Journal of Youth Development, 2024
Science, technology, engineering, and mathematics (STEM) fields face persistent disparities in racial, ethnic and gender representation; these disparities are even more pronounced in computer science (CS) fields where women of color comprise 1 percent or less of all employees. These inequalities, and their causes, are complex, systemic, and result…
Descriptors: Computer Science Education, Racial Identification, Self Concept, Social Justice
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Charles Denver M. Opague; Armando M. Guidote Jr.; Genejane M. Adarlo – International Society for Technology, Education, and Science, 2024
This case study examined the transdisciplinarity and complementarity of a double degree program in undergraduate chemistry and computer engineering, based on the perspectives of its graduates. Semi-structured interviews were conducted with eighteen graduates to explore how well the program integrated both disciplines and prepared them for the job…
Descriptors: Chemistry, Computer Science Education, Science Education, College Programs
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Modesti, Paolo – Informatics in Education, 2020
As the number of software vulnerabilities discovered increases, the industry is facing difficulties to find specialists to cover the vacancies for security software developers. Considering relevant teaching and learning theories, along with existing approaches in software security education, we present the pedagogic rationale and the concrete…
Descriptors: Computer Security, Computer Software, Computer Science Education, Programming
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Chukhnov, Anton; Maytarattanakhon, Athit; Posov, Ilya; Pozdniakov, Sergei – Informatics in Education, 2020
The paper discusses a certain type of competitions based on distance interaction of a participant with simulation models of concepts from discrete mathematics and computer science. One of them is the "Construct, Test, Explore" (CTE) competition, developed by the authors, the other is the Olympiad in Discrete Mathematics and Theoretical…
Descriptors: Graphs, Computer Simulation, Mathematics, Computer Science
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Menon, Pratibha; Kovalchick, Lisa – Information Systems Education Journal, 2020
Concept mapping, a tool originally developed to facilitate student learning by organizing and visualizing key concepts and their relationships, can also be used to represent the composition of the knowledge contained in a course. In this paper, the authors describe a specific application of concept mapping to help instructors and students…
Descriptors: Concept Mapping, Introductory Courses, Programming, Computer Science Education
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Schwieger, Dana – Information Systems Education Journal, 2020
Ashley Baker was fed up and ready to strike out on her own and cut her own path. New salon policies aimed to eat away at her profits were forcing her to start her own business. As Ashley and her husband refurbished a downtown storefront to house her shop, she starts planning for the operational side of her new venture. Ashley is in search of an…
Descriptors: Computer System Design, Management Information Systems, Cosmetology, Small Businesses
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