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Gamze Kurt; Özge Çakioglu – Digital Experiences in Mathematics Education, 2024
This study aims to investigate students' computational thinking (CT) through mathematical tasks integrated with programming in Scratch. Participants completed four tasks that required students to solve coding problems, which were focused on prime numbers and the prime factorization algorithm. The study was designed as a case study and the unit of…
Descriptors: Grade 7, Case Studies, Mathematics Education, Mathematical Concepts
Ma, Yingbo; Katuka, Gloria Ashiya; Celepkolu, Mehmet; Boyer, Kristy Elizabeth – International Educational Data Mining Society, 2022
Collaborative learning is a complex process during which two or more learners exchange opinions, construct shared knowledge, and solve problems together. While engaging in this interactive process, learners' satisfaction toward their partners plays a crucial role in defining the success of the collaboration. If intelligent systems could predict…
Descriptors: Middle School Students, Cooperative Learning, Prediction, Peer Relationship
Xin Gong; Weiqi Xu; Shufan Yu; Jingjing Ma; Ailing Qiao – British Journal of Educational Technology, 2025
Tangible programming tools have become a mainstream teaching aid in gamification programming learning (GPL) due to their interactivity and ability to enhance novice learners' computational thinking and spatial reasoning skills. However, comparing the relative efficacy of different programming tools that simultaneously support these skills was not…
Descriptors: Computation, Thinking Skills, Spatial Ability, Gamification
Statter, David; Armoni, Michal – ACM Transactions on Computing Education, 2020
Abstraction is one of the most fundamental ideas in computer science (CS), and as such, according to Bruner, it should be taught spirally, starting as early as possible and revisited at every level of education. However, teaching CS abstraction to novices is a very challenging task, and CS educational research has often demonstrated students'…
Descriptors: Middle School Students, Grade 7, Computer Science Education, Abstract Reasoning
Durak, Hatice Yildiz; Yilmaz, Fatma Gizem Karaoglan; Yilmaz, Ramazan – Contemporary Educational Technology, 2019
The purpose of this study was to determine the skill levels of secondary school students regarding computational thinking, programming self-efficacy and reflective thinking aimed at problem solving and examine their experiences in the programming training process on robotic activities. Toward this purpose, a 10-week application was conducted with…
Descriptors: Computation, Thinking Skills, Programming, Computer Science Education
Altin, Rukiye; Tokel, Tugba; Delialioglu, Omer – Journal of Computers in Mathematics and Science Teaching, 2021
The focus on Computer Science Education at the K-12 level has been increasingly highlighted due to today's need for a populace with computational thinking skills, in addition to the expansion of careers related to computing and computer science. Programming helps facilitate students' examination of the nature of a problem and helps students to…
Descriptors: Mathematics Instruction, Instructional Effectiveness, Interdisciplinary Approach, Computer Science Education
Zhong, Baichang; Si, Qiuju – Journal of Educational Computing Research, 2021
Studies have indicated the importance of scaffolding in the problem-solving process, as well as the potential of integrating learning content into the troubleshooting tasks. However, few have explored in depth the learning process during troubleshooting via scaffolds while also taking students' cognitive load into account. To address this issue,…
Descriptors: Troubleshooting, Scaffolding (Teaching Technique), Instructional Effectiveness, Difficulty Level
Khasawneh, Amal A. – International Journal of Mathematical Education in Science and Technology, 2009
The present study is concerned with assessing Logo programming experiences among seventh grade students. A formal multiple-choice test and five performance tasks were used to collect data. The results provided that students' performance was better than the expected score by the probabilistic laws, and a very low correlation between their Logo…
Descriptors: Mathematics Achievement, Multiple Choice Tests, Problem Solving, Programming