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Margulieux, Lauren; Parker, Miranda C.; Cetin Uzun, Gozde; Cohen, Jonathan D. – Journal of Technology and Teacher Education, 2023
Educators across disciplines are implementing lessons and activities that integrate computing concepts into their curriculum to broaden participation in computing. Out of myriad important introductory computing skills, it is unknown which--and to what extent--these concepts are included in these integrated experiences, especially when compared to…
Descriptors: Programming, Programming Languages, Computer Science Education, Age Differences
Maya B. Mathur – Research Synthesis Methods, 2024
As traditionally conceived, publication bias arises from selection operating on a collection of individually unbiased estimates. A canonical form of such selection across studies (SAS) is the preferential publication of affirmative studies (i.e., those with significant, positive estimates) versus nonaffirmative studies (i.e., those with…
Descriptors: Meta Analysis, Research Reports, Research Methodology, Research Problems
Bougioukas, Konstantinos I.; Diakonidis, Theodoros; Mavromanoli, Anna C.; Haidich, Anna-Bettina – Research Synthesis Methods, 2023
An overview of reviews aims to collect, assess, and synthesize evidence from multiple systematic reviews (SRs) on a specific topic using rigorous and reproducible methods. An important methodological challenge in conducting an overview of reviews is the management of overlapping data due to the inclusion of the same primary studies in SRs. We…
Descriptors: Programming Languages, Open Source Technology, Evaluation Methods, Evidence
Omer, Uzma; Tehseen, Rabia; Farooq, Muhammad Shoaib; Abid, Adnan – Education and Information Technologies, 2023
Learning analytics (LA) is a significant field of study to examine and identify difficulties the novice programmers face while learning how to program. Despite producing notable research by the community in the specified area, rare work is observed to synthesize these research efforts and discover the dimensions that guide the future research of…
Descriptors: Programming, Learning Analytics, Educational Research, Data
Ndudi Okechukwu Ezeamuzie; Mercy Noyenim Ezeamuzie – Review of Educational Research, 2025
Computer programming provides a framework for interdisciplinary learning in sciences, arts and languages. However, increasing integration of programming in K--12 shows that the block-based and text-based dichotomy of programming environments does not reflect the spectrum of their affordance. Hence, educators are confronted with a fundamental…
Descriptors: Kindergarten, Elementary Secondary Education, Computer Science Education, Programming
Barbosa Rocha, Hemilis Joyse; Cabral De Azevedo Restelli Tedesco, Patrícia; De Barros Costa, Evandro – Informatics in Education, 2023
In programming problem solving activities, sometimes, students need feedback to progress in the course, being positively affected by the received feedback. This paper presents an overview of the state of the art and practice of the feedback approaches on introductory programming. To this end, we have carried out a systematic literature mapping to…
Descriptors: Classification, Computer Science Education, Feedback (Response), Problem Solving
Vinueza-Morales, Mariuxi; Borrego, Diana; Galindo, Jose A.; Benavides, David – IEEE Transactions on Education, 2021
Contribution: A systematic literature review on the empirical evidence regarding the usage of programming languages for learning purposes is presented. The review analyzes different methods and tools at different educational levels and with different objectives. Background: Learning programming has gained relevance in the last decade. This is due…
Descriptors: Teaching Methods, Programming Languages, Research Reports, Computer Science Education
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
Dwi Fitria Al Husaeni; Isma Widiaty; Budi Mulyanti; Ade Gafar Abdullah; Lala Septem Riza; Amay Suherman; Dwi Novia Al Husaeni – Informatics in Education, 2025
This study aims to provide a descriptive and bibliometric analysis of the trend of artificial intelligence (AI) application in the development of computational thinking (CT) skills in publications from 2007 to 2024. A total of 191 articles were obtained from Scopus database with certain keywords, and analyzed using Biblioshiny and VOSviewer. The…
Descriptors: Artificial Intelligence, Trend Analysis, Bibliometrics, Thinking Skills
Zilong Zhong; Hui Guo; Kun Qian – Education and Information Technologies, 2024
This study leverages bibliometric analysis through the bibliometrix R-package to dissect the expansive influence of machine learning on education, a field where machine learning's adaptability and data-processing capabilities promise to revolutionize teaching and learning methods. Despite its potential, the integration of machine learning in…
Descriptors: Bibliometrics, Programming Languages, Artificial Intelligence, Technology Uses in Education
Rovshenov, Atajan; Sarsar, Firat – Journal of Educational Technology and Online Learning, 2023
This study examines the methodological dimensions of programming education articles published in educational sciences journals indexed in SSCI by exploring their general trends. To do this, 162 articles published between January 2012 and February 2020 in 30 international journals indexed in SSCI were analyzed with a systematic review method using…
Descriptors: Computer Science Education, Programming, Educational Trends, Trend Analysis
Berssanette, Joao Henrique; de Francisco, Antonio Carlos – IEEE Transactions on Education, 2022
Contribution: This article features a systematic literature review with the objective of presenting a study that reflects the current scenario of research on the cognitive load theory (CLT) in the domain of teaching and learning computer programming. Background: Computer programming is a highly cognitive skill, requiring mastering multiple…
Descriptors: Cognitive Ability, Programming, Computer Science Education, Mastery Learning
Hajar Darif; Mohammed Amine Lafraxo – Educational Process: International Journal, 2025
Background/purpose: The emergence of educational technologies has profoundly transformed teaching and learning methods in health sciences. This bibliometric study aims to identify the most widely used educational practices in this field between 2014 and 2024, exploring their applications within a constantly evolving technological context.…
Descriptors: Programming Languages, Bibliometrics, Research Reports, Educational Technology
Stuhler, Oscar – Sociological Methods & Research, 2022
Over the past decade, sociologists have become increasingly interested in the formal study of semantic relations within text. Most contemporary studies focus either on mapping concept co-occurrences or on measuring semantic associations via word embeddings. Although conducive to many research goals, these approaches share an important limitation:…
Descriptors: Sociology, Social Science Research, Semantics, Computational Linguistics
Chan, Shiau-Wei; Looi, Chee-Kit; Ho, Weng Kin; Kim, Mi Song – Journal of Educational Computing Research, 2023
The importance of computational thinking (CT) as a 21st-century skill for future generations has been a key consideration in the reforms of many national and regional educational systems. Much attention has been paid to integrating CT into the traditional subject classrooms. This paper describes a scoping review of learning tools for integrating…
Descriptors: Thinking Skills, 21st Century Skills, Teaching Methods, Research Reports
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