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Lorås, Madeleine; Sindre, Guttorm; Trætteberg, Hallvard; Aalberg, Trond – ACM Transactions on Computing Education, 2022
As the field of computing education grows and matures, it has become essential to unite computing education and higher education research. Educational research has highlighted that how students study is crucial to their learning progress, and study behaviors have been found to play an important role in students' academic success. This article…
Descriptors: Study Habits, Computer Science Education, Higher Education, College Students
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Ergin, Aysegül Zeynep; Ercan, Zülfiye Gül – International Journal of Curriculum and Instruction, 2022
Computer science works as hardware and software increasingly takes place in each of our daily lives with effective products and services. As in all areas, it is an inevitable part of learning and teaching computer-based environment-tools and equipment in the fate and type of education, including early childhood. Computer science products may…
Descriptors: Programming, Preschool Teachers, Preservice Teachers, Computer Science Education
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Mentzer, Kevin; Galante, Zachary; Frydenberg, Mark – Information Systems Education Journal, 2022
Organizations are keenly interested in data gathering from websites where discussions of products and brands occur. This increasingly means that programmers need an understanding of how to work with website application programming interfaces (APIs) for data acquisition. In this hands-on lab activity, students will learn how to gather data from…
Descriptors: Prediction, Competition, Music, Data Analysis
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Adkins, Keith L.; Joyner, David A. – Journal of Computer Assisted Learning, 2022
Background: Plagiarism is a very serious offence in academic institutions. Yet there is some reluctance to address plagiarism by educators as its enforcement can require a significant time commitment if not handled wisely. Handling plagiarism at scale has the potential to exacerbate this problem. Objectives: This article explores the challenges…
Descriptors: Plagiarism, Large Group Instruction, Online Courses, Computer Science Education
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Zhao, Dan; Muntean, Cristina Hava; Chis, Adriana E.; Rozinaj, Gregor; Muntean, Gabriel-Miro – IEEE Transactions on Education, 2022
Contributions: This article presents a large-scale study which investigates students' reaction to game-based learning as part of programming courses. The study focuses on knowledge acquisition, learner experience, and game usability. Background: Despite the rapid growth of the information and communication technologies (ICTs) sector, the lack of…
Descriptors: Game Based Learning, Student Experience, Knowledge Level, College Students
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Lu, Meixiu; Chiu, Ming Ming – IEEE Transactions on Education, 2022
Contribution: Students do not naturally give unbiased, accurate peer assessments (PAs). Hence, giving teamwork guidelines to students can improve their cooperation, understanding of one another, PA attitude, and PA accuracy. Background: During collaborative learning, PA can improve students' autonomy, evaluation, and communication, which often…
Descriptors: Teamwork, Guidelines, Peer Evaluation, Student Attitudes
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Bahar, A. Kadir; Kaya, Erdogan; Zhang, Xiaolu – Journal of Advanced Academics, 2022
Using the test scores of more than 1,000,000 students who participated in the Advanced Placement Computer Science (AP CS) exams from 1997 to 2020, this study examined the direction and magnitude of the trends in gender disparity in participation and top achievement in advanced exams. The findings indicated that the male-to-female ratio (MFR) among…
Descriptors: Gender Differences, Advanced Placement, Computer Science Education, Tests
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Campagnolo, Gian Marco – International Journal of Social Research Methodology, 2022
In this paper, I introduce the notion of participative epistemology and discuss how it can contribute to make social data science more accountable. I do so by offering the case of a project where ethnographic, computational and sequence analysis methods have been used in combination. By presenting here in greater detail research design and pilot…
Descriptors: Epistemology, Ethnography, Information Technology, Employees
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Fein, Benedikt; Graßl, Isabella; Beck, Florian; Fraser, Gordon – International Educational Data Mining Society, 2022
The recent trend of embedding source code for machine learning applications also enables new opportunities in learning analytics in programming education, but which code embedding approach is most suitable for learning analytics remains an open question. A common approach to embedding source code lies in extracting syntactic information from a…
Descriptors: Artificial Intelligence, Learning Analytics, Programming, Programming Languages
Campbell, Oladele O.; Atagana, Harrison I. – Online Submission, 2022
An engaging first programming class (CS1) often inspires students' passion for computer science (CS). However, the evidence in the literature suggests that the average CS1 classes are anything but engaging for many students. The performance of CS compared to other science, technology, engineering, and mathematics (STEM) courses in international…
Descriptors: Programming, Programming Languages, Computer Science Education, Learner Engagement
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Laurent Cervoni; Julien Brasseur – International Association for Development of the Information Society, 2022
A Prolog program consists of a set of facts and rules rather than imperative statements, commonly used in most other programming languages. Therefore, the Prolog language is used to encode logic, from which the inference engine deduces logical conclusions. In this article, we argue that the use of the Prolog language can be useful to help students…
Descriptors: Teaching Methods, Mathematics Instruction, Problem Solving, Programming Languages
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Ndudi Okechukwu Ezeamuzie; Mercy Noyenim Ezeamuzie – Review of Educational Research, 2025
Computer programming provides a framework for interdisciplinary learning in sciences, arts and languages. However, increasing integration of programming in K--12 shows that the block-based and text-based dichotomy of programming environments does not reflect the spectrum of their affordance. Hence, educators are confronted with a fundamental…
Descriptors: Kindergarten, Elementary Secondary Education, Computer Science Education, Programming
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Aidan Doyle; Pragnya Sridhar; Arav Agarwal; Jaromir Savelka; Majd Sakr – Journal of Computer Assisted Learning, 2025
Background: In computing education, educators are constantly faced with the challenge of developing new curricula, including learning objectives (LOs), while ensuring that existing courses remain relevant. Large language models (LLMs) were shown to successfully generate a wide spectrum of natural language artefacts in computing education.…
Descriptors: Computer Science Education, Artificial Intelligence, Learning Objectives, Curriculum Development
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Mohamad Zuber Abd Majid; Muhammad Helmi Norman; Mohammad Hafiz Zaini; Hutkemri Zulnaidi; Mohd Khalid Mohamad Nasir – SAGE Open, 2025
This systematic review to identify the distribution of articles from two databases using the science mapping method, and to investigate the preparedness of educators for the development of digital education in economics. The descriptive analysis is used to identify the research trends globally on the development of digital education in the scope…
Descriptors: Electronic Learning, Educational Innovation, Economics, Economics Education
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Jean Salac; Lena Armstrong; F. Megumi Kivuva; Jayne Everson; Amy J. Ko – ACM Transactions on Computing Education, 2025
Background and Context: With the growing movement to adopt critical framings of computing, scholars have worked to reframe computing education from the narrow development of programming skills to skills in identifying and resisting oppressive structures in computing. However, we have little guidance on how these framings may manifest in classroom…
Descriptors: Critical Theory, Computer Science Education, Summer Programs, Secondary School Students
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