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Showing 1 to 15 of 35 results Save | Export
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Ana Paula Juliana Perin; Deivid Eive dos S. Silva; Natasha M. C. Valentim – Informatics in Education, 2023
In Education 4.0, a personalized learning process is expected, and that students are the protagonist. In this new education format, it is necessary to prepare students with the skills and competencies of the 21st-Century, such as teamwork, creativity, and autonomy. One of the ways to develop skills and competencies in students can be through block…
Descriptors: Programming, High School Students, Learning, Learning Processes
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Ünal Çakiroglu; Seval Bilgi – Interactive Learning Environments, 2024
The aim of this explanatory study is to identify the causes of intrinsic cognitive load in programming process. For this purpose, a method based on two dimensions; programming knowledge types (syntactic, semantic, and strategic) and programming constructs was proposed. The proposed method was tested with high school students enrolled in Computer…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Interaction
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Almabrok Musa Almdahem – International Journal of Computer Science Education in Schools, 2024
A national curriculum for the study of computing became compulsory in English secondary schools in September 2014, replacing the study of information and communications technology with computer science (CS). This posed difficulties for teachers and students who did not have knowledge or experience of programming. This study was designed to…
Descriptors: Secondary School Students, Computer Science Education, Programming, Student Attitudes
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Rahel Schmid; Robbert Smit; Nicolas Robin; Alexander Strahl – British Journal of Educational Psychology, 2025
Background: Students make many errors in visual programming. In order to learn from these, it is important that students regulate their emotions and view errors as learning opportunities. Aims: This study aimed to explore to what extent momentary emotions, specifically enjoyment, anxiety and boredom, as well as the error learning orientation of…
Descriptors: Psychological Patterns, Emotional Response, Learning Processes, Error Patterns
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Li, Wei; Liu, Cheng-Ye; Tseng, Judy C. R. – Education and Information Technologies, 2023
Collaborative programming can develop computational thinking and knowledge of computational programming. However, the researchers pointed out that because students often fail to mobilize metacognition to regulate and control their cognitive activities in a cooperation, this results in poor learning effects. Especially low-achieving students need…
Descriptors: Correlation, Metacognition, Thinking Skills, Programming
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Chase, Catherine C.; Malkiewich, Laura J.; Lee, Alison; Slater, Stefan; Choi, Ahram; Xing, Chenmu – British Journal of Educational Technology, 2021
It is difficult to motivate learners to seek out and persist at challenging learning tasks where failure is likely. However, in game environments, people seem highly motivated to engage with challenges and respond productively to failure. Many typical game features purportedly enhance intrinsic motivation and self-efficacy, which should improve…
Descriptors: Game Based Learning, Educational Games, Learning Processes, Programming
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Hsu, Ting-Chia; Abelson, Hal; Van Brummelen, Jessica – International Review of Research in Open and Distributed Learning, 2022
The purpose of this study was to design a curriculum of artificial intelligence (AI) application for secondary schools. The learning objective of the curriculum was to allow students to learn the application of conversational AI on a block-based programming platform. Moreover, the empirical study actually implemented the curriculum in the formal…
Descriptors: Secondary School Students, Experiential Learning, Curriculum Design, Artificial Intelligence
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Qing Yu; Kun Yu; Baomin Li – Journal of Educational Computing Research, 2025
Computer programming is regarded as an important skill for the future. However, many K-12 students face challenges and difficulties in learning traditional text-based programming. Block-based visual programming (BVP) can reduce the difficulty of learning programming and is seen as a potential programming education tool. Nevertheless, the effects…
Descriptors: Programming, Computer Science Education, Visual Aids, Outcomes of Education
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Imre Bende – Acta Didactica Napocensia, 2024
The continuous development of artificial intelligence-based tools makes their emergence inevitable in education as well as other fields of life. This article presents findings of a mixed method study aimed at investigating the current perceptions and potential applications of AI in Hungarian educational settings. Through interviews with high…
Descriptors: Readiness, Artificial Intelligence, Technology Uses in Education, Foreign Countries
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Evripidou, Salomi; Amanatiadis, Angelos; Christodoulou, Klitos; Chatzichristofis, Savvas A. – IEEE Transactions on Learning Technologies, 2021
Today, in the era of robotics, different types of educational robots have been used extensively in school classrooms to facilitate teaching activities related to a variety of computer science concepts. Numerous studies have been performed that attempt to examine the effects of using tangible interfaces to enhance collaborative learning…
Descriptors: Thinking Skills, Mathematics, Computation, Sequential Approach
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Li, Jiansheng; Lin, Yuyu; Sun, Mingzhu; Shadiev, Rustam – Interactive Learning Environments, 2023
This study examined whether socially shared regulation of learning (SSRL) enhances students' algorithmic thinking performance, promotes learning participation and improves students' learning attitudes through game-based collaborative learning. The students learned algorithmic knowledge and completed programing tasks using Kodu, a new visual…
Descriptors: Cooperative Learning, Game Based Learning, Educational Environment, Algorithms
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Kesler, Avital; Shamir-Inbal, Tamar; Blau, Ina – Journal of Educational Computing Research, 2022
The integration of visual programming in early formal education has been found to promote computational thinking of students. Teachers' intuitive perspectives about optimal learning processes -- "folk psychology" -- impact their perspectives about teaching "folk pedagogy" and play a significant role in integrating educational…
Descriptors: Programming, Coding, Constructivism (Learning), Intuition
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Hidiroglu, Çaglar Naci – Journal of Pedagogical Research, 2022
This study adopts a holistic single-case design to explain the task design processes of mathematics student teachers (MSTs) regarding History, Theory, Technology, and Modeling (HTTM). A criterion sampling method was used to select nine MSTs who had successfully completed "algorithms and programming" course. Video analyses, written answer…
Descriptors: Mathematics Teachers, Student Teachers, Instructional Design, Mathematics Instruction
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Joel B. Jalon Jr.; Goodwin A. Chua; Myrla de Luna Torres – International Journal of Education in Mathematics, Science and Technology, 2024
ChatGPT is largely acknowledged for its substantial capacity to enhance the teaching and learning process despite some concerns. Based on the available literature, no study compares groups of students using ChatGPT and those who did not, more so in programming. Therefore, the main goal of this study was to examine how ChatGPT affects SHS students'…
Descriptors: Artificial Intelligence, Computer Software, Synchronous Communication, Learning Processes
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Solvang, Lorena; Haglund, Jesper – Physics Education, 2021
Recently, GeoGebra, a mathematics education software, has entered the scene of physics education; however, research on how the software can be used to support teaching and learning physics is limited and scattered. The aim of this article is to present a review of the current literature on how GeoGebra can be used to support physics education in…
Descriptors: Physics, Computer Software, Mathematics Instruction, Secondary School Students
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