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Showing 421 to 435 of 1,782 results Save | Export
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Carla De Lira; Shira Broschat; Olusola Adesope; Christopher Hundhausen – ACM Transactions on Computing Education, 2025
The increasing demand for a diverse pool of computing talent combined with a persistent shortage of skilled workers has engendered a need to support students pursuing Computer Science (CS) careers. Students often cite social isolation and lack of support as reasons for withdrawing from computing programs. This is especially true for those from…
Descriptors: Empathy, Emotional Development, Psychological Patterns, Learning Processes
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Deepak Dawar – Information Systems Education Journal, 2024
Learning computer programming is typically difficult for newcomers. Demotivation and learned helplessness have received much attention. Besides the subject's intricacy, low in-class participation has been associated with poor student achievement. This paper presents a follow-up, stage 2 study on the novel instructional technique, Student-Driven…
Descriptors: College Students, Computer Science Education, Required Courses, Elective Courses
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Alex Fegely; Cory Gleasman; Tammi Kolski – Educational Technology Research and Development, 2024
Computer science teaching standards for grades K-8 have been implemented in nearly all U.S. states, and the core subject area teachers (e.g., math, science, English, social studies) have been asked to integrate these standards into their instruction. Thus, it is important that K-8 pre-service teachers of all subjects are both prepared and…
Descriptors: Educational Technology, Robotics, Shared Resources and Services, Preservice Teacher Education
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Zebel-Al Tareq; Raja Jamilah Raja Yusof – IEEE Transactions on Education, 2024
Contribution: A problem-solving approach (PSA) model derived from major computational thinking (CT) concepts. This model can be utilized to formulate solutions for different algorithmic problems and translate them into effective active learning methods. Background: Different teaching approaches for programming are widely available; however, being…
Descriptors: Models, Problem Solving, Computation, Thinking Skills
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Daniele Traversaro; Giorgio Delzanno; Giovanna Guerrini – Informatics in Education, 2024
Concurrency is a complex to learn topic that is becoming more and more relevant, such that many undergraduate Computer Science curricula are introducing it in introductory programming courses. This paper investigates the combined use of Sonic Pi and Team-Based Learning to mitigate the difficulties in early exposure to concurrency. Sonic Pi, a…
Descriptors: Misconceptions, Programming Languages, Computer Science Education, Undergraduate Students
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Jessica M. M. Hamer; Peter E. J. Kemp; Billy Wong; Meggie Copsey-Blake – Cambridge Journal of Education, 2024
Digital skills are beneficial for young people and society, but some individuals, particularly girls, are less likely to choose computing post-compulsory education. Coding is a crucial skill in the school computing curriculum. The authors collected survey data from 4983 secondary-school students (ages 11-16) as well as conducted exploratory factor…
Descriptors: Foreign Countries, Secondary School Students, Computer Science Education, Coding
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Joyce Vogel; Dan Bouhnik – European Journal of Education, 2024
Introduction to Computer Science is traditionally the first course that all computer science and software engineering majors take. The course introduces many problem-solving techniques which can be challenging for many freshman students. In order to mitigate some of the issues of this course, we, at the Higher Education Institute, introduced a new…
Descriptors: Computer Science Education, Introductory Courses, Awards, Problem Based Learning
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Michael Lachney; Madison C. Allen Kuyenga; Jada Phelps; Aman Yadav; Matt Drazin – Computer Science Education, 2024
Background & context: Inspired by the nature-cultures of belonging from Black hair care, we conducted a design experiment to bridge computer science (CS) education, urban gardening, and cosmetology in a culturally responsive computing (CRC) library program. Objective: The design was oriented around a small-scale aquaponics system to grow mint…
Descriptors: Middle School Students, High School Students, Librarians, Library Services
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Jui-Hung Chang; Chi-Jane Wang; Hua-Xu Zhong; Hsiu-Chen Weng; Yu-Kai Zhou; Hoe-Yuan Ong; Chin-Feng Lai – Educational Technology Research and Development, 2024
Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students' learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study…
Descriptors: Artificial Intelligence, Technological Advancement, Student Evaluation, Models
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Jiachu Ye; Xiaoyan Lai; Gary Ka Wai Wong; Nantian He – Educational Technology & Society, 2024
Computational thinking (CT) has attracted global research attention. However, the relationship between CT education and later aspirations in computing careers was less explored, and less attention was paid to understanding the intermediary role of computational identity. Based on social cognitive career theory, this study examined the…
Descriptors: Programming, Self Concept, Computer Science Education, Student Attitudes
Villamor, Maureen M. – Research and Practice in Technology Enhanced Learning, 2020
High attrition and dropout rates are common in introductory programming courses. One of the reasons students drop out is loss of motivation due to the lack of feedback and proper assessment of their progress. Hence, a process-oriented approach is needed in assessing programming progress, which entails examining and measuring students' compilation…
Descriptors: Novices, Problem Solving, Computer Science Education, Introductory Courses
Lynch, Tom Liam; Ardito, Gerald; Amendola, Pam – Eye on Education, 2020
"Integrating Computer Science Across the Core" is a guide to systematizing computer science and computational thinking practices in your school. While most books explain how to teach computer science as a stand-alone discipline, this innovative approach will help you leverage your existing curriculum to deepen and expand students'…
Descriptors: Elementary Secondary Education, Computer Science, Computer Science Education, Thinking Skills
Kathryn Irene Cunningham – ProQuest LLC, 2020
Introductory programming courses typically focus on building generalizable programming knowledge by focusing on a language's syntax and semantics. Assignments often involve "code tracing" problems, where students perform close tracking of code's execution, typically in the context of 'toy' problems. "Reading-first" approaches…
Descriptors: Programming, Coding, Teaching Methods, Introductory Courses
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Gao, Xuemin; Hew, Khe Foon – Journal of Educational Computing Research, 2023
Reintroducing computer science (CS) education in K-12 schools to promote computational thinking (CT) has attracted significant attention among scholars and educators. Among the several essential components included in CS and CT education, program debugging is an indispensable skill. However, debugging teaching has often been overlooked in K-12…
Descriptors: Flipped Classroom, Error Correction, Elementary School Students, Programming
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Tsung-Chih Hsiao; Ya-Hsueh Chuang; Chien-Yun Chang; Tzer-Long Chen; Hong-Bo Zhang; Jhih-Chung Chang – SAGE Open, 2023
The capability of computer programming language logic is one of the basics of technical education. How to improve students "interest in program logic design and help overcome students" fears of coding has become vital for educators. Cultivating practical talents with information technology application and basic programming development…
Descriptors: Computer Science Education, Computation, Thinking Skills, Programming
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