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Showing 1 to 15 of 22 results Save | Export
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Vásquez, Francisco; Calderón, Juan Felipe; Meza, Federico; Vásquez, Andrea – ACM Transactions on Computing Education, 2023
There is increasing interest in computer science and computing bachelor programs due to the growing importance of technology in the globalized world. Thus, as higher education institutions strive to serve a diverse student demographic, it is salient to gauge their programming abilities to improve guidance on learning processes regarding their…
Descriptors: Test Validity, Spanish, Test Construction, Computer Science Education
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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
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Fu, Qian; Zhang, Li-Wen; Hong, Jon-Chao; Dong, Yan – Australasian Journal of Educational Technology, 2021
Learning programming challenges students who encounter difficulties such as resolving syntax and format errors. These challenges require students to invoke resilience to overcome programming problems and keep trying. In response, this study developed the programming resilience scale for university students (PRSUS). The snowball-sampling method was…
Descriptors: Test Construction, Test Validity, Programming, Resilience (Psychology)
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Silvia Wen-Yu Lee; Jyh-Chong Liang; Chung-Yuan Hsu; Meng-Jung Tsai – Interactive Learning Environments, 2024
While research has shown that students' epistemic beliefs can be a strong predictor of their academic performance, cognitive abilities, or self-efficacy, studies of this topic in computer education are rare. The purpose of this study was twofold. First, it aimed to validate a newly developed questionnaire for measuring students' epistemic beliefs…
Descriptors: Student Attitudes, Beliefs, Computer Science Education, Programming
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Säde, Merilin; Suviste, Reelika; Luik, Piret – Education Sciences, 2021
Massive open online courses (MOOCs) can potentially affect the lives of millions of people, but there is little research on how a programming MOOC could affect participants' lives after participation. In Estonia, we have organised several programming MOOCs over the years, attended by over 14,000 people. This inspired us to develop and validate a…
Descriptors: Online Courses, Programming, Foreign Countries, Computer Science Education
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Rich, Peter J.; Larsen, Ross A.; Mason, Stacie L. – Journal of Research on Technology in Education, 2021
This study sought to identify factors that affect teachers' beliefs about teaching computing in their classrooms. By reviewing existing scales and research on computing, we created the Teacher Beliefs about Coding and Computational Thinking (TBaCCT) scale. Through confirmatory factor analysis and structural equation modeling we validated the scale…
Descriptors: Teacher Attitudes, Elementary School Teachers, Attitude Measures, Test Construction
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Kiliç, Servet; Gökoglu, Seyfullah; Öztürk, Mücahit – Journal of Educational Computing Research, 2021
In this research, a scale was developed to determine the programming-oriented computational thinking skills of university students. The participants were 360 students studying in various departments at different universities in Turkey for computer programming. The scale consists of 33 items under conceptual knowledge, algorithmic thinking, and…
Descriptors: Test Validity, Test Reliability, Test Construction, Programming
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Lu, Owen H. T.; Huang, Anna Y. Q.; Tsai, Danny C. L.; Yang, Stephen J. H. – Educational Technology & Society, 2021
Human-guided machine learning can improve computing intelligence, and it can accurately assist humans in various tasks. In education research, artificial intelligence (AI) is applicable in many situations, such as predicting students' learning paths and strategies. In this study, we explore the benefits of repetitive practice of short-answer…
Descriptors: Test Items, Artificial Intelligence, Test Construction, Student Evaluation
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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
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Rachmatullah, Arif; Akram, Bita; Boulden, Danielle; Mott, Bradford; Boyer, Kristy; Lester, James; Wiebe, Eric – EURASIA Journal of Mathematics, Science and Technology Education, 2020
The increasing interest in computer science (CS) and CS-integrated STEM teaching and learning has created a need for assessment instruments that can be used to evaluate the efficacy of innovative instructional approaches to K-12 CS education. However, there is a lack of validated assessment tools aligned to core CS concepts for younger students.…
Descriptors: Test Construction, Test Validity, Measures (Individuals), Multiple Choice Tests
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Yadav, Aman; Berges, Marc – ACM Transactions on Computing Education, 2019
Computer science education efforts are expanding across the globe to equip students with the necessary computing skills for today's digital world. However, preparing students to become literate in computing activities requires the training of tens of thousands of teachers in computer science. The discrepancy between student needs and teacher…
Descriptors: Computer Science Education, Pedagogical Content Knowledge, Computer Literacy, Knowledge Level
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Basu, Satabdi; Rutstein, Daisy W.; Xu, Yuning; Wang, Haiwen; Shear, Linda – Computer Science Education, 2021
Background and Context: In today's increasingly digital world, it is critical that all students learn to think computationally from an early age. Assessments of Computational Thinking (CT) are essential for capturing information about student learning and challenges. When programming is used as a vehicle to foster CT skills, assessment of CT…
Descriptors: Computer Science Education, Programming, Thinking Skills, Logical Thinking
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Yildiz, Serife Nur; Ates-Cobanoglu, Alev; Kisla, Tarik – International Journal of Computer Science Education in Schools, 2020
This paper reports the development process of a scale for Information and Communication Technology (ICT) teachers' acceptance and use of Scratch for teaching programming. For early beginners of programming, Scratch is the most popular block-based software for facilitating programming teaching (Zhang and Nouri, 2019) worldwide. Also, in Turkey,…
Descriptors: Programming Languages, Computer Software, Computer Science Education, Technology Integration
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Kong, Siu-Cheung; Li, Robert Kwok-Yiu; Kwok, Ron Chi-Wai – Journal of Educational Computing Research, 2019
Schools around the globe increasingly realized the importance of technology and its application in the education system. To guarantee a successful educational innovation, schools seek out different parties for valuable opinions. Among them, parents are the important feedback providers, because their attitudes are influential on children's academic…
Descriptors: Parent Attitudes, Programming, Computer Science Education, Test Construction
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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
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