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Lauren E. Margulieux; Yin-Chan Liao; Erin Anderson; Miranda C. Parker; Brendan D. Calandra – ACM Transactions on Computing Education, 2024
Integrated computing curricula combine learning objectives in computing with those in another discipline, like literacy, math, or science, to give all students experience with computing, typically before they must decide whether to take standalone CS courses. One goal of integrated computing curricula is to provide an accessible path to an…
Descriptors: Technology Uses in Education, Technology Integration, Computer Uses in Education, Computer Science
Nicole Panorkou; Toni York; Erell Germia – Cognition and Instruction, 2024
In this paper we discuss the types of knowledge used by six middle school students as they engaged with a debugging task designed to integrate ideas from computer science, mathematics and science. Our findings show that the computational thinking practice of debugging is a rich source of opportunities to integrate these different disciplines. The…
Descriptors: Troubleshooting, Interdisciplinary Approach, Middle School Students, Computer Science
Armoni, Michal; Gal-Ezer, Judith – Informatics in Education, 2023
In a previous publication we examined the connections between high-school computer science (CS) and computing higher education. The results were promising -- students who were exposed to computing in high school were more likely to take one of the computing disciplines. However, these correlations were not necessarily causal. Possibly those…
Descriptors: High School Students, Computer Science Education, Correlation, Higher Education
Dina Kamber Hamzic; Mirsad Trumic; Ismar Hadžalic – International Electronic Journal of Mathematics Education, 2025
Trigonometry is an important part of secondary school mathematics, but it is usually challenging for students to understand and learn. Since trigonometry is learned and used at a university level in many fields, like physics or geodesy, it is important to have an insight into students' trigonometry knowledge before the beginning of the university…
Descriptors: Trigonometry, Mathematics Instruction, Prior Learning, Outcomes of Education
Nitesh Kumar Jha; Plaban Kumar Bhowmik; Kaushal Kumar Bhagat – Educational Technology Research and Development, 2024
A majority of research in Computational Thinking (CT) mainly focuses on teaching coding to school students. However, CT involves more than just coding and includes other skills like algorithmic thinking. The current study developed an Online Inquiry-based Learning Platform for Computational Thinking (CT-ONLINQ) that follows Inquiry-Based Learning…
Descriptors: Thinking Skills, Computer Science Education, Comparative Analysis, Problem Solving
Rachmatullah, Arif; Wiebe, Eric N. – Science Education, 2023
Computationally intensive science (CIS)-related disciplines and careers are predicted to be among the cutting-edge fields and high-demand jobs. Such disciplines and careers demand expertise in both traditional scientific knowledge and computer science (CS)-related understanding and skills. Preparing educational systems for developing interest and…
Descriptors: Foreign Countries, Middle School Students, Career Choice, STEM Careers
Shilo, Gila; Ragonis, Noa – Journal of Further and Higher Education, 2019
A central issue in the design of curricula for all school levels is the development of the learners' high-order thinking skills and metacognitive skills. Among such required skills is the ability to solve problems. The literature dealing with the development of problem-solving skills is vast and primarily addresses the scientific disciplines, even…
Descriptors: Thinking Skills, Metacognition, Problem Solving, Linguistics
Tsai, Meng-Jung; Wang, Ching-Yeh – Journal of Educational Computing Research, 2021
To explore the role of design thinking in contemporary computer literacy education, this study aimed to examine the relationship between young students' design thinking disposition and their computer programming self-efficacy. To assess students' design thinking disposition, this study developed the Design Thinking Disposition Scale (DTDS) with a…
Descriptors: Design, Thinking Skills, Computer Science Education, Computer Literacy
Ezeamuzie, Ndudi O. – Journal of Educational Computing Research, 2023
Most studies suggest that students develop computational thinking (CT) through learning programming. However, when the target of CT is decoupled from programming, emerging evidence challenges the assertion of CT transferability from programming. In this study, CT was operationalized in everyday problem-solving contexts in a learning experiment (n…
Descriptors: Programming, Computer Science Education, Problem Solving, Thinking Skills
Arslan, Esra; Isbulan, Onur – Malaysian Online Journal of Educational Technology, 2021
In this research, the effects of individual and teamwork activities on perceptions of block-based programming self-efficacy and attitudes towards robotic programming tried to be determined. The research has conducted in a private school located in Sariyer, district of Istanbul province in the 2nd academic year of 2018-2019 with 32 students from…
Descriptors: Computer Science Education, Programming Languages, Robotics, Individual Instruction
Almasseri, Mohammed; AlHojailan, Mohammed I. – Journal of Computer Assisted Learning, 2019
The study aims to identify the effect of a flipped classroom approach designed according to the cognitive theory of multimedia learning on the academic achievements of eighth-grade students (aged 14 years) in Saudi Arabia in computer science. To this end, a quasi-experimental design was used, with a sample of 67 students; 33 students were assigned…
Descriptors: Foreign Countries, Blended Learning, Instructional Effectiveness, Academic Achievement
Nasser-Abu Alhija, Fadia; Levi-Eliyahu, Orna – Computer Science Education, 2019
Background and Context: Understanding the effects of learner characteristics and perceived learning environment on achievement in academic fields including Computer Science (CS) is of critical importance. Objective: This study aimed at testing a hypothesized model of achievement in CS in terms of the learner and the learning environment…
Descriptors: Computer Science Education, Grade 11, Grade 12, High School Students
Mühling, Andreas – Computer Science Education, 2016
Concept maps have a long history in educational settings as a tool for teaching, learning, and assessing. As an assessment tool, they are predominantly used to extract the structural configuration of learners' knowledge. This article presents an investigation of the knowledge structures of a large group of beginning CS students. The investigation…
Descriptors: Concept Mapping, Computer Science Education, Novices, Knowledge Level
Soares, Andrey; Martin, Nancy L. – Information Systems Education Journal, 2015
This paper reports the results of a survey with 40 students enrolled in an Android Application Development course offered during the spring semester of 2013 and 2014. The course used App Inventor to build the apps and required students to have an introduction to programming course as a prerequisite. The survey asked for demographic information and…
Descriptors: Computer Science Education, Computer Oriented Programs, Programming, Advanced Courses
Kafai, Yasmin B.; Lee, Eunkyoung; Searle, Kristin; Fields, Deborah; Kaplan, Eliot; Lui, Debora – ACM Transactions on Computing Education, 2014
In this article, we examine the use of electronic textiles (e-textiles) for introducing key computational concepts and practices while broadening perceptions about computing. The starting point of our work was the design and implementation of a curriculum module using the LilyPad Arduino in a pre-AP high school computer science class. To…
Descriptors: High School Students, Scientific Concepts, Educational Practices, Curriculum Development
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