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Demir, Seda; Doguyurt, Mehmet Fatih – African Educational Research Journal, 2022
The purpose of this research was to compare the performances of the Fixed Effect Model (FEM) and the Random Effects Model (REM) in the meta-analysis studies conducted through 5, 10, 20 and 40 studies with an outlier and 4, 9, 19 and 39 studies without an outlier in terms of estimated common effect size, confidence interval coverage rate and…
Descriptors: Meta Analysis, Comparative Analysis, Research Reports, Effect Size
Forrester, Chiara; Schwikert, Shane; Foster, James; Corwin, Lisa – CBE - Life Sciences Education, 2022
The ability to program in R, an open-source statistical program, is increasingly valued across job markets, including ecology. The benefits of teaching R to undergraduates are abundant, but learning to code in R may induce anxiety for students, potentially leading to negative learning outcomes and disengagement. Anecdotes suggest a gender…
Descriptors: Undergraduate Students, Coding, Programming Languages, Anxiety
Özdinç, Fatih; Kaya, Gökhan; Mumcu, Filiz; Yildiz, Bahadir – Science Activities: Projects and Curriculum Ideas in STEM Classrooms, 2022
STEM and computer science (CS) education are some of the most important research topics of the last decade. The idea that CS should be a part of STEM is becoming more and more common. The most important goals of integrating CS into STEM are to develop students' computational thinking (CT) and problem-solving skills. STEM education creates a…
Descriptors: Teachers, STEM Education, Computer Science Education, Integrated Activities
Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2022
This article develops new closed-form variance expressions for power analyses for commonly used difference-in-differences (DID) and comparative interrupted time series (CITS) panel data estimators. The main contribution is to incorporate variation in treatment timing into the analysis. The power formulas also account for other key design features…
Descriptors: Comparative Analysis, Statistical Analysis, Sample Size, Measurement Techniques
Wu, Xinli; Chang, Jie; Lian, Fei; Jiang, Liheng; Liu, Juntong; Yasrab, Robail – International Journal of Information and Communication Technology Education, 2022
The rapid development of big data technology has attracted a variety of sectors, including tertiary education. The purpose of this paper is to construct a precision teaching mode based on big data technology in order to improve teaching quality and further promote education and teaching reform. The proposed mode, based on the theory of precision…
Descriptors: Precision Teaching, Learning Analytics, Teacher Evaluation, Programming Languages
Jenkins, Brian C. – Journal of Economic Education, 2022
The author of this article describes a new undergraduate course where students use Python programming for macroeconomic data analysis and modeling. Students develop basic familiarity with dynamic optimization and simulating linear dynamic models, basic stochastic processes, real business cycle models, and New Keynesian business cycle models.…
Descriptors: Undergraduate Students, Programming Languages, Macroeconomics, Familiarity
Neutens, Tom; Coolsaet, Kris; Wyffels, Francis – ACM Transactions on Computing Education, 2022
In many countries, computer programming is becoming an integral part of the secondary school curriculum. However, many teachers, especially in the first years of Flemish secondary school, have limited experience with teaching programming. To improve their knowledge about programming, many different types of professional development programs have…
Descriptors: Foreign Countries, Secondary School Curriculum, Computer Science Education, Programming
Ahn, Junghyun; Sung, Woonhee; Black, John B. – Journal of Research in Childhood Education, 2022
Despite increased interest in integrating programming education into K-12 programs, there is a lack of studies on teaching debugging to younger age groups. Therefore, this study proposes practical design components for designing unplugged debugging tasks that affect young learners' debugging performance, problem-solving, and self-efficacy,…
Descriptors: Programming, Computer Science Education, Learning Activities, Elementary School Students
Lin, Yu-Tzu; Yeh, Martin K.-C.; Tan, Sheng-Rong – IEEE Transactions on Education, 2022
Contribution: Programming is a complex cognitive activity that involves both conceptual understanding and procedural skills, which is challenging for novices. To develop both program comprehension and implementation competency, this study proposed a live-coding-based instruction. Experts' live coding with think-aloud was recorded. Students then…
Descriptors: Programming, Coding, Video Technology, Teaching Methods
Ray, Beverly B.; Rogers, Reenay R. H.; Gallup, Jennifer – Journal of Digital Learning in Teacher Education, 2022
Research explored the change in perspectives of PK-12 social studies teachers regarding coding as a useful instructional tool. Using exploratory methods, researchers examined to what extent participants (n = 26) were willing to embrace coding as a teaching and learning strategy. Findings suggest that participants' perspectives on the utility of…
Descriptors: Elementary Secondary Education, Preschool Education, Teachers, Social Studies
Mehta, Neha; Bist, Siddarth Singh; Shah, Priya – Higher Education, Skills and Work-based Learning, 2022
Purpose: With past studies indicating a lack of skill development in engineering education, there is a need for new pedagogical tools that are application and skill-oriented. Hackathons are widely accepted in the corporate world, in the engineering domain for skill development and recruitment but have not gained acceptance in mainstream…
Descriptors: Engineering Education, Teachers, Computer Software, Teacher Attitudes
Tsai, Meng-Jung; Chien, Francis Pingfan; Wen-Yu Lee, Silvia; Hsu, Chung-Yuan; Liang, Jyh-Chong – Journal of Educational Computing Research, 2022
This study aimed to develop the Computational Thinking Test for Elementary School Students (CTT-ES) to assess young children's CT competencies in non-programming contexts and also examine the relationship between CT competencies and CT dispositions. A survey including a pool of CTT-ES candidate items and the Computational Thinking Scale (CTS) was…
Descriptors: Test Construction, Test Validity, Computation, Thinking Skills
Yukiko Maruyama – International Association for Development of the Information Society, 2022
The increased focus on computational thinking has led to the acceptance of computer programming as one of the ways of teaching computational thinking. In 2020, Japan introduced programming education in elementary schools. To understand the current situation of parental involvement at the beginning of programming education, this study aimed to know…
Descriptors: Parent Participation, Programming, Computer Science Education, Thinking Skills
What! No GUI? -- Teaching a Text Based Command Line Oriented Introduction to Computer Science Course
Goldstein, Ira – Information Systems Education Journal, 2019
Computer Science students need to acquire knowledge about both the hardware and software aspects of computing systems. It is necessary for them to understand how each layer interacts with one another. However, since Graphical User Interfaces have become ubiquitous, the opportunities to interact with the computer via a command prompt as part of…
Descriptors: Computer Science Education, Computer Software, Introductory Courses, Programming
Niina Niinimäki; Kati Sormunen; Pirita Seitamaa-Hakkarainen; Sini Davies; Kaiju Kangas – Journal of Computer Assisted Learning, 2025
Background: Implementing maker education in schools is on the rise, fuelled by its potential to move formal education towards a creative, technology-driven 21st century learning culture. In maker education, collaborative learning takes place through and around various digital and traditional technologies, which provide the means for students'…
Descriptors: Cooperative Learning, Experiential Learning, Technological Literacy, Student Projects