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Showing 1 to 15 of 17 results Save | Export
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Noelle Brown; Benjamin Xie; Ella Sarder; Casey Fiesler; Eliane S. Wiese – ACM Transactions on Computing Education, 2024
The computing education research community now has at least 40 years of published research on teaching ethics in higher education. To examine the state of our field, we present a systematic literature review of papers in the "Association for Computing Machinery" computing education venues that describe teaching ethics in higher-education…
Descriptors: Ethics, Computer Science Education, Higher Education, Teaching Methods
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Deise Monquelate Arndt; Ramon Mayor Martins; Jean Carlo Rossa Hauck – Informatics in Education, 2025
Critical thinking is a fundamental skill for 21st-century citizens, and it should be promoted from elementary school and developed in computing education. However, assessing the development of critical thinking in educational contexts presents unique challenges. In this study, a systematic mapping was carried out to investigate how to assess the…
Descriptors: Critical Thinking, Elementary Secondary Education, Computer Science Education, 21st Century Skills
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Sam Maesschalck – Journal of Information Technology Education: Innovations in Practice, 2024
Aim/Purpose: This paper explores the potential value of critical thinking in computer science education and discusses strategies for its integration across the curriculum. Background: As technology rapidly evolves and becomes increasingly integrated into society, there is a growing need for computer science graduates who can think critically about…
Descriptors: Computer Science Education, Critical Thinking, Integrated Curriculum, Curriculum Development
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Jiahong Su; Kai Guo; Xinyu Chen; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
The teaching of artificial intelligence (AI) has increasingly become a topic of investigation among educational researchers. Studies of AI education have predominantly focused on the university level; less attention has been paid to teaching AI in K-12 classrooms. This study synthesised empirical studies on K-12 AI education, with the aims of…
Descriptors: Artificial Intelligence, Computer Science Education, Elementary Secondary Education, Teaching Methods
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Ling Wang; Shen Zhan – Education Research and Perspectives, 2024
Generative Artificial Intelligence (GenAI) is transforming education, with assessment design emerging as a crucial area of innovation, particularly in computer science (CS) education. Effective assessment is critical for evaluating student competencies and guiding learning processes, yet traditional practices face significant challenges in CS…
Descriptors: Artificial Intelligence, Computer Science Education, Technology Uses in Education, Student Evaluation
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Liu, Ruohan; Luo, Feiya; Israel, Maya – Journal of Educational Computing Research, 2023
Technology has become an integral part of teaching and learning, but there is still limited understanding of how it is utilized to support computing education in early childhood. To address this knowledge gap, this review investigated the current implementation of computing technologies in early childhood settings, the implementation of computing…
Descriptors: Technology Integration, Computer Science Education, Literature Reviews, Learning Activities
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Heckman, Sarah; Carver, Jeffrey C.; Sherriff, Mark; Al-zubidy, Ahmed – ACM Transactions on Computing Education, 2022
Context: Computing Education Research (CER) is critical to help the computing education community and policy makers support the increasing population of students who need to learn computing skills for future careers. For a community to systematically advance knowledge about a topic, the members must be able to understand published work thoroughly…
Descriptors: Computer Science Education, Educational Research, Periodicals, Replication (Evaluation)
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Lu, Chang; Macdonald, Rob; Odell, Bryce; Kokhan, Vasyl; Demmans Epp, Carrie; Cutumisu, Maria – Journal of Computing in Higher Education, 2022
The field of computational thinking (CT) is developing rapidly, reflecting its importance in the global economy. However, most empirical studies have targeted CT in K-12, thus, little attention has been paid to CT in higher education. The present scoping review identifies and summarizes existing empirical studies on CT assessments in…
Descriptors: Computation, Thinking Skills, Higher Education, Educational Trends
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Francesco C. Ugolini; Panagiotis Kakavas – Research on Education and Media, 2024
This study consists of a 17-year (2006-2021) systematic literature review on the effective instructional strategies for developing Computational Thinking (CT) in primary school students (K-5). The aim of this paper is to identify instructional strategies that have been implemented and evaluated by means of a pre- and post-test, with the aim of…
Descriptors: Teaching Methods, Computer Science Education, Kindergarten, Elementary School Students
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Luan, Hui; Tsai, Chin-Chung – Educational Technology & Society, 2021
In recent years, in the field of education, there has been a clear progressive trend toward precision education. As a rapidly evolving AI technique, machine learning is viewed as an important means to realize it. In this paper, we systematically review 40 empirical studies regarding machine-learning-based precision education. The results showed…
Descriptors: Artificial Intelligence, Individualized Instruction, Individual Differences, Educational Trends
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Margulieux, Lauren; Ketenci, Tuba Ayer; Decker, Adrienne – Computer Science Education, 2019
Background and context: The variables that researchers measure and how they measure them are central in any area of research, including computing education. Which research questions can be asked and how they are answered depends on measurement. Objective: To summarize the commonly used variables and measurements in computing education and to…
Descriptors: Measurement Techniques, Standards, Evaluation Methods, Computer Science Education
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Leonard, Hayley C.; Sentance, Sue – International Journal of Computer Science Education in Schools, 2021
The underrepresentation of certain groups in computing has led to increasing efforts to develop computing curricula that is responsive and relevant to a more diverse group of learners. The current paper used a Quick Scoping Review methodology to identify research that has implemented and evaluated culturally responsive and relevant K-12 computing…
Descriptors: Culturally Relevant Education, Computer Science Education, Student Attitudes, Curriculum Development
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Menekse, Muhsin – Computer Science Education, 2015
While there has been a remarkable interest to make computer science a core K-12 academic subject in the United States, there is a shortage of K-12 computer science teachers to successfully implement computer sciences courses in schools. In order to enhance computer science teacher capacity, training programs have been offered through teacher…
Descriptors: Computer Science Education, Faculty Development, Elementary Secondary Education, Literature Reviews
Blank, George – Creative Computing, 1981
Ten computer languages are compared and contrasted. A series of programs focusing on the average of two numbers are designed to point out differences in console input, console output, and common arithmetic. (MP)
Descriptors: Comparative Analysis, Computer Programs, Computer Science, Computer Science Education
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Keppens, Jeroen; Hay, David – Computer Science Education, 2008
A key challenge of effective teaching is assessing and monitoring the extent to which students have assimilated the material they were taught. Concept mapping is a methodology designed to model what students have learned. In effect, it seeks to produce graphical representations (called concept maps) of the concepts that are important to a given…
Descriptors: Concept Mapping, Programming, Teaching Methods, Educational Assessment
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