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Kane Meissel; Esther S. Yao – Practical Assessment, Research & Evaluation, 2024
Effect sizes are important because they are an accessible way to indicate the practical importance of observed associations or differences. Standardized mean difference (SMD) effect sizes, such as Cohen's d, are widely used in education and the social sciences -- in part because they are relatively easy to calculate. However, SMD effect sizes…
Descriptors: Computer Software, Programming Languages, Effect Size, Correlation
Anthemis Raptopoulou; Brendan Munhall – Policy Futures in Education, 2024
The concept of democracy is a central component in education policy at all levels, yet its meaning can be interpreted in a number of ways. This paper examines how democracy is conceptualised and utilised as a legitimising force driving education policy reform. More specifically, attention is given to the use of democracy in the process of…
Descriptors: Foreign Countries, Democracy, Citizenship Education, Educational Policy
Chenyue Wang; Chang Lu; Fu Chen; Xueliang Liu; Qin Zhao; Shuai Wang – Education and Information Technologies, 2024
Computational thinking (CT) competency is essential for K-12 students in the digital societies. Understanding the relationship between students' CT and relevant factors contributes to implementing and improving CT education. Most previous studies investigated the effect of demographic or attitudinal factors on CT performance; whereas few research…
Descriptors: Self Efficacy, Thinking Skills, Problem Solving, Computation
Renske Weeda; Sjaak Smetsers; Erik Barendsen – Computer Science Education, 2024
Background and Context: Multiple studies report that experienced instructors lack consensus on the difficulty of programming tasks for novices. However, adequately gauging task difficulty is needed for alignment: to select and structure tasks in order to assess what students can and cannot do. Objective: The aim of this study was to examine…
Descriptors: Novices, Coding, Programming, Computer Science Education
Chun-Yen Tsai; Yun-An Chen; Fu-Pei Hsieh; Min-Hsiung Chuang; Chien-Liang Lin – Journal of Educational Computing Research, 2024
In higher education, it is challenging to cultivate non-computer science majors' programming concepts. This study used the GAME model (gamification, assessment, modeling, and enquiry) in a programming education course to enhance undergraduates' self-efficacy and performance of basic programming concepts. There were 83 undergraduates taking part in…
Descriptors: Programming, Undergraduate Students, Self Efficacy, Gamification
Peter J. Rich; Scott Bartholomew; David Daniel; Kenzie Dinsmoor; Meagan Nielsen; Connor Reynolds; Meg Swanson; Ellyse Winward; Jessica Yauney – Journal of Research on Technology in Education, 2024
In this study, we attempted to curate a list of tools whose primary intent is to enable and teach children to code. From this list, we developed a framework for the classification of coding tools and reviewed current research to determine how tools are used to teach coding in elementary education. The catalog grew to over 300 specific tools…
Descriptors: Educational Trends, Teaching Methods, Coding, Thinking Skills
Wahid Yunianto; Guillermo Bautista Jr.; Bungkus Dias Prasetyo; Zsolt Lavicza – International Journal for Technology in Mathematics Education, 2024
As computational thinking (CT) is new to teachers, they need support on how CT integration will work. This study examines the use of a hypothetical learning trajectory (HLT) to support teachers in integrating computational thinking into mathematics lessons utilizing GeoGebra. By employing the educational design research (EDR) methodology, the…
Descriptors: Computer Software, Mental Computation, Mathematics Instruction, Educational Technology
Michael Kolling – Informatics in Education, 2024
The principles of programming language design for learning and teaching have been described and discussed for several decades. Most influential was the work of Niklaus Wirth, describing principles such as simplicity, modularity, orthogonality, and readability. So why is this still an area of fundamental disagreement among educators? Why can…
Descriptors: Programming Languages, Design, Novices, Computer Science Education
Mehmet Küçük; Tarik Talan; Muhammet Demirbilek – Informatics in Education, 2024
This study investigated the effects of 3D model building activities with block codes on students' spatial thinking and computational thinking skills. The study group consists of 5th grade students in a secondary school in the Central Anatolia region of Turkey. For the study, a pretestposttest control group was utilized within the experimental…
Descriptors: Computation, Thinking Skills, Spatial Ability, Programming
Melina Verger; Chunyang Fan; Sébastien Lallé; François Bouchet; Vanda Luengo – Journal of Educational Data Mining, 2024
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…
Descriptors: Algorithms, Prediction, Bias, Classification
Shin, Yoonhee; Song, Donggil – Journal of Educational Computing Research, 2022
This study explores the effect of self-regulated learning support on learners' cognitive load and problem-solving performance, considering cases from well-structured to ill-structured tasks in a computer programing course. Sixty-seven undergraduate students in a computer programing fundamentals course were randomly assigned into one of two groups:…
Descriptors: Cognitive Ability, Computer Science Education, Programming, Problem Solving
Robertson, Judy; Gray, Stuart; Martin, Toye; Booth, Josephine – International Journal of Computer Science Education in Schools, 2020
We argue that understanding the cognitive foundations of computational thinking will assist educators to improve children's learning in computing. We explain the conceptual relationship between executive functions and aspects of computational thinking. We present initial empirical data from 23 eleven year old learners which investigates the…
Descriptors: Executive Function, Computation, Thinking Skills, Mathematics Skills
Bull, Glen; Garofalo, Joe; Hguyen, N. Rich – Journal of Digital Learning in Teacher Education, 2020
An educational team founded by Seymour Papert at MIT has developed an evolving series of computing environments designed to facilitate computational thinking. Papert outlined the goal of developing educational environments to facilitate the use of computer as a computational object in a seminal publication, "Teaching Children Thinking"…
Descriptors: Thinking Skills, Computation, Computer Science Education, Programming
Ihrmark, Daniel; Tyrkkö, Jukka – Education for Information, 2023
The combination of the quantitative turn in linguistics and the emergence of text analytics has created a demand for new methodological skills among linguists and data scientists. This paper introduces KNIME as a low-code programming platform for linguists interested in learning text analytic methods, while highlighting the considerations…
Descriptors: Linguistics, Data Science, Programming, Data Analysis
Chiu, Po-Sheng; Zhong, Hua-Xu; Lai, Chin-Feng – Innovations in Education and Teaching International, 2023
In recent years, flipping classrooms has become a popular topic of discussion. However, few previous studies have focused on the effect of the flow experience on programming self-efficacy. To address this gap, the present researchers developed a model that included six research hypotheses. The study applied a flipped classroom model to a…
Descriptors: Flipped Classroom, Programming, Self Efficacy, College Students