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Torres Jiménez, Stephanie; Ramírez-Echeverry, Jhon Jairo; Restrepo-Calle, Felipe – Journal of Educational Computing Research, 2024
This article presents the design, construct validation, and reliability of a self-report instrument in Spanish that aims to characterize different types of strategies that students can use to learn computer programming. We provide a comprehensive overview of the identification of learning strategies in the existing literature, the design and…
Descriptors: Test Construction, Construct Validity, Test Reliability, Questionnaires
Gök, Ahmet; Karamete, Aysen – Journal of Educational Technology and Online Learning, 2023
The purpose of this study was to adapt the computational thinking scale developed by Tsai, Liang and Hsu (2021) into Turkish in order to determine the computational thinking skill levels of secondary school students according to such basic elements defined by Selby and Woollard (2013) as abstraction, decomposition, algorithmic thinking, evaluation…
Descriptors: Foreign Countries, Computation, Thinking Skills, Computer Literacy
Lai, Rina PY; Ellefson, Michelle R. – Journal of Educational Computing Research, 2023
Computational thinking (CT) is an emerging and multifaceted competence important to the computing era. However, despite the growing consensus that CT is a competence domain, its theoretical and empirical account remain scarce in the current literature. To address this issue, rigorous psychometric evaluation procedures were adopted to investigate…
Descriptors: Computation, Thinking Skills, Competence, Psychometrics
Melissa G. Wolf; Daniel McNeish – Grantee Submission, 2023
To evaluate the fit of a confirmatory factor analysis model, researchers often rely on fit indices such as SRMR, RMSEA, and CFI. These indices are frequently compared to benchmark values of 0.08, 0.06, and 0.96, respectively, established by Hu and Bentler (1999). However, these indices are affected by model characteristics and their sensitivity to…
Descriptors: Programming Languages, Cutting Scores, Benchmarking, Factor Analysis
Filiz Kuskaya Mumcu; Branko Andic; Mirjana Maricic; Mathias Tejera; Zsolt Lavicza – Journal of Educational Technology and Online Learning, 2025
Many education policy strategy documents at the European Union level, as well as national strategies of various countries, recommend including computational thinking as a fundamental skill in curricula. The professional development of teachers should be supported to disseminate computational thinking in K12 education. Teachers' value beliefs about…
Descriptors: Teacher Attitudes, Value Judgment, Beliefs, Computation
Halit Karalar – International Technology and Education Journal, 2023
The purpose of this study is to adapt the "Computer Programming Self-Efficacy Scale for Computer Literacy Education (CPSES)" developed by Tsai et al. (2019) into Turkish for middle school students and to develop a valid and reliable measurement tool. The participants of the study consisted of 348 eighth grade students. In order to test…
Descriptors: Foreign Countries, Programming, Computer Literacy, Middle School Students
Yildirim, Osman Gazi; Ozdener, Nesrin – International Journal of Computer Science Education in Schools, 2022
The main goal of the current study is to develop a reliable instrument to measure programming anxiety in university students. A pool of 33 items based on extensive literature review and experts' opinions were created by researchers. The draft scale comprised three factors applied to 392 university students from two different universities in Turkey…
Descriptors: Anxiety, Undergraduate Students, Student Attitudes, Factor Analysis
Lihui Sun; Zhen Guo; Danhua Zhou – Interactive Learning Environments, 2024
Coding ability has become an essential digital skill for young children. The graphical programming environment is valuable carrier for cultivating children's coding ability. The purpose of this study is to develop a coding ability test for children, to conduct a graphic coding intervention, and to further explore the impact of multiple factors on…
Descriptors: Programming, Skill Development, Intervention, Student Experience
Tsai, Meng-Jung; Liang, Jyh-Chong; Hsu, Chung-Yuan – Journal of Educational Computing Research, 2021
Computational thinking has received tremendous attention from computer science educators and educational researchers in the last decade. However, most prior literature defines computational thinking as thinking outcomes rather than thinking processes. Based on Selby and Woodland's framework, this study developed and validated the Computational…
Descriptors: Computation, Thinking Skills, Skill Development, Technological Literacy
Tep, Puthyrom; Chuathong, Saranya; Sombunsukho, Suwanna – International Journal of Psychology and Educational Studies, 2022
In higher education, a limited number of studies have been conducted on the relationship between lifestyle and creativity and dating back to more than 50 years ago. This study investigates the up-to-date results of the relationship between university students' lifestyles and their creative ideation. The data was collected two times in order to…
Descriptors: Life Style, Creativity, Undergraduate Students, Correlation
Bubica, Nikolina; Boljat, Ivica – Informatics in Education, 2022
The new Croatian Informatics curriculum, which introduces computational thinking concepts into learning outcomes has been put into practice. A computational thinking assessment model reflecting the learning outcomes of the Croatian curriculum was created using an evidence-centered design approach. The possibility of assessing the computational…
Descriptors: Thinking Skills, Foreign Countries, Information Science Education, Computer Science Education
Lacave, Carmen; Molina, Ana I.; Redondo, Miguel A. – IEEE Transactions on Education, 2018
Contribution: Findings are provided from an initial survey to evaluate the magnitude of the recursion problem from the student point of view. Background: A major difficulty that programming students must overcome--the learning of recursion--has been addressed by many authors, using various approaches, but none have considered how students perceive…
Descriptors: Student Attitudes, Attitude Measures, Difficulty Level, Programming
Korkmaz, Özgen; Altun, Halis – Online Submission, 2014
Students might have different type and different level of perceptions: Positive or negative perceptions on programming; a perception on benefit of programming, perceptions related to difficulties of programming process etc. The perception of student on their own competence is defined as self-efficacy. Based on the discussions reported in…
Descriptors: Foreign Countries, Computer Science Education, Programming, Self Efficacy
Doukakis, Spyros; Giannakos, Michail N.; Koilias, Christos; Vlamos, Panayiotis – Informatics in Education, 2013
This paper presents results of a questionnaire focused on investigating students' confidence and behavioral intention in the area of programming, particularly that of structures, problem solving, and programming commands (Conditional--Loop). Responses from 116 1st year students regarding informatics were used. The results indicate that the…
Descriptors: Foreign Countries, Programming, Computer Science Education, Problem Solving
Bringula, Rex P.; Manabat, Geecee Maybelline A.; Tolentino, Miguel Angelo A.; Torres, Edmon L. – World Journal of Education, 2012
This descriptive study determined which of the sources of errors would predict the errors committed by novice Java programmers. Descriptive statistics revealed that the respondents perceived that they committed the identified eighteen errors infrequently. Thought error was perceived to be the main source of error during the laboratory programming…
Descriptors: Error Patterns, Programming, Programming Languages, Predictor Variables
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