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Hsueh, Nien-Lin; Daramsenge, Bilegjargal; Lai, Lien-Chi – Journal of Information Technology Education: Research, 2022
Aim/Purpose: The goal of this study was twofold: first, to examine how learners' behavioral engagement types affect their final grades in an online programming course; and second, to explore which factors most strongly affect student performance in an online programming course and their connection to the types of cognitive engagement. Background:…
Descriptors: Learner Engagement, Online Courses, Programming, COVID-19
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Schätz, Eric; Martens, Alke – International Association for Development of the Information Society, 2022
As we talked with school teachers about the use of physical computing systems in class, one major drawback of these systems became obvious: almost nobody--next to enthusiastic autodidacts--has been able to tell us on an abstract basis for which educational purposes a certain physical computing system can be used, i.e. in a goal-oriented way. This…
Descriptors: Teacher Attitudes, Teaching Methods, Educational Improvement, Computer Science Education
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Riese, Emma; Stenbom, Stefan – IEEE Transactions on Education, 2023
Contribution: This study evaluates the generalizability of previously identified perceptions among engineering students of assessments in introductory programming (CS1). The students' perceptions of their instructors' and teaching assistants' (TAs) roles in these assessments are also studied, and differences based on prior programming experience,…
Descriptors: Student Attitudes, Educational Experience, Computer Science Education, Student Evaluation
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Hwang, Gwo-Jen; Tung, Li-Hsien; Fang, Jian-Wen – Journal of Educational Computing Research, 2023
Fostering students' computer programming skills has become an important educational issue in the globe. However, it remains a challenge for students to understand those abstract concepts when learning computer programming, implying the need to provide instant learning diagnosis and feedback in computer programming activities. In this study, a…
Descriptors: Programming, Thinking Skills, Problem Solving, Computer Science Education
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Candela, Anthony R. – Journal of Visual Impairment & Blindness, 2019
Computer programming (also known as coding) is a career path that many individuals choose to pursue. The occupation of computer programmer has in the past and will continue in the future to afford people who are visually impaired (i.e., those who are blind or have low vision) a wide variety of job possibilities. Because students with visual…
Descriptors: Access to Computers, Accessibility (for Disabled), Blindness, Visual Impairments
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Taipalus, Toni – Journal of Information Systems Education, 2019
Structured Query Language (SQL) is still the de facto database query language widely used in industry and taught in almost all university level database courses. The role of SQL is further strengthened by the emergence of NewSQL systems which use SQL as their query language as well as some NoSQL systems, e.g., Cassandra and DynamoDB, which base…
Descriptors: Programming Languages, Programming, Computer Science Education, Databases
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Pattanaphanchai, Jarutas – Journal of University Teaching and Learning Practice, 2019
Computer programming is a difficult subject for most novice programming students which leads to a high rate of dropout or failure. Flipped classrooms have been increasingly used to teach programming students to practice their programming skills in the class based on their knowledge acquired from outside the classroom. This study investigated…
Descriptors: Foreign Countries, College Students, Academic Achievement, Blended Learning
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Žanko, Žana; Mladenovic, Monika; Boljat, Ivica – Education and Information Technologies, 2019
There are known misconceptions about variables which are mostly the same since the first studies since more than 30 years ago. Consciousness about the misconceptions in programming can be crucial for teaching and learning programming for novices because, if we are aware of them, maybe we can minimise or even prevent them. Researchers mostly…
Descriptors: Misconceptions, Elementary Secondary Education, Programming, Programming Languages
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I-Fan Liu; Hui-Chun Hung; Che-Tien Liang – Interactive Learning Environments, 2024
With the rise of big data, artificial intelligence, and other emerging information technologies, an increasing number of students without computer science (CS) backgrounds have begun to learn programming. Programming is considered a complex task for beginners, and instructors find it difficult to quickly address all the problems that students…
Descriptors: Programming, Student Attitudes, Blended Learning, Video Technology
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Lily R. Liang; Rui Kang – International Journal for the Scholarship of Teaching and Learning, 2024
This study examines the impact of a situated learning class framework on student learning and sense of belonging in a first-year introductory computer programming course offered at an urban commuter campus. The framework provided students opportunities to engage in hands-on activities embedded in authentic contexts facilitated or led by students…
Descriptors: Undergraduate Students, Computer Science Education, Commuting Students, Sense of Community
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Anette Bentz; Bernhard Standl – ACM Transactions on Computing Education, 2024
Digital literacy is considered to be crucial for social and professional participation. Hence, several projects have been launched in school, as well as extracurricular activities to promote digital literacy in middle school. They aim, among other things, to increase interest in the so-called STEM subjects (science, technology, engineering, and…
Descriptors: Digital Literacy, Computer Science Education, Extracurricular Activities, Middle School Students
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Arslan Namli, Nihan; Senkal, Ozan – International Journal of Assessment Tools in Education, 2018
The overall objective of this study is to understand how the fuzzy logic theory can be used in measuring the programming performance of the undergraduate students, as well as proving the advantages of using fuzzy logic in evaluation of students' performance. 336 students were involved in the sample of this quantitative study. The first group was…
Descriptors: Undergraduate Students, Programming, Computation, Student Evaluation
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Schneider, Johannes; Bernstein, Abraham; Brocke, Jan vom; Damevski, Kostadin; Shepherd, David C. – IEEE Transactions on Learning Technologies, 2018
All methodologies for detecting plagiarism to date have focused on the final digital "outcome", such as a document or source code. Our novel approach takes the creation process into account using logged events collected by special software or by the macro recorders found in most office applications. We look at an author's interaction…
Descriptors: Plagiarism, Assignments, Programming, Computer Software
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Stone, Jeffrey A.; Cruz, Laura – Teaching & Learning Inquiry, 2021
Higher education has embraced integrative learning as a means of enabling students to tackle so-called "wicked" problems, i.e. problems that are sufficiently complex, contested, and ambiguous that conventional, disciplinary specific approaches are inadequate to address. However, challenges remain in defining integrative learning…
Descriptors: Introductory Courses, Computer Science Education, Interdisciplinary Approach, Integrated Activities
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Sbaraglia, Marco; Lodi, Michael; Martini, Simone – Informatics in Education, 2021
Introductory programming courses (CS1) are difficult for novices. Inspired by "Problem solving followed by instruction" and "Productive Failure" approaches, we define an original "necessity-driven" learning design. Students are put in an apparently well-known situation, but this time they miss an essential ingredient…
Descriptors: Programming, Introductory Courses, Computer Science Education, Programming Languages
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