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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
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Csizmadia, Andrew; Standl, Bernhard; Waite, Jane – Informatics in Education, 2019
In computer science education at school, computational thinking has been an emerging topic over the last decade. Even though, computational thinking is interpreted and integrated in classrooms in different ways, an identification process about what computational thinking is about has been in progress among computer science school-teachers and…
Descriptors: Constructivism (Learning), Computation, Thinking Skills, Class Activities
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Kwon, Kyungbin; Cheon, Jongpil – International Journal of Computer Science Education in Schools, 2019
Although teachers need to assess computational thinking (CT) for computer science education in K-12, it is not easy for them to evaluate students' programs based on the perspective. The purpose of this study was to investigate students' CT skills reflected in their Scratch programs. The context of the study was a middle school coding club where…
Descriptors: Computer Science Education, Computation, Thinking Skills, Coding
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Gough, John – Australian Primary Mathematics Classroom, 2018
In fact, ever since Seymour Papert (famous in his later years for constructionism, a learning theory that married conceptual constructivism with concrete experience) created Logo programming, many schools have been coding using Logo, the educational computer programming software that has the famous 'turtle' on the computer screen. Importantly,…
Descriptors: Coding, Programming, Programming Languages, Computer Software
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Erümit, Ali Kürsat – Education and Information Technologies, 2020
Purpose of this study is determined effects of different teaching approaches on programming skills. Therefore, the effect of three different types of activities prepared with Scratch on 423 sixth grade students' attitudes towards computer technologies, algorithmic thinking skills and reflective thinking skills on problem solving were investigated.…
Descriptors: Teaching Methods, Instructional Effectiveness, Programming, Programming Languages
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Oshanova, Nurzhamal; Anuarbekova, Gulzat; Shekerbekova, Shirinkyz; Arynova, Gylnar – Australian Educational Computing, 2019
In this paper, the researchers have tried to solve one of the didactic tasks of an educational institution - the formation of a student's thinking, the development of their algorithmic style of thinking and intelligence. Since an important component of human intellectual development is precisely algorithmic thinking, learning to solve standard…
Descriptors: Mathematical Concepts, Computer Science Education, Programming Languages, Secondary School Students
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Chen, Yen Tzu; Liu, Che-Hung; Lee, Chih Yu – Education Quarterly Reviews, 2021
This study used CodeMonkey, an online learning platform through which elementary teachers can learn programming while playing games and experience how to integrate STEM into their courses. The study analyzed and examined their experiences using a qualitative research method. According to the research results, learning programming while playing…
Descriptors: Game Based Learning, Computer Games, Computer Science Education, STEM Education
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Szlávi,Péter; Zsakó, László – Acta Didactica Napocensia, 2017
As a programmer when solving a problem, a number of conscious and unconscious cognitive operations are being performed. Problem-solving is a gradual and cyclic activity; as the mind is adjusting the problem to its schemas formed by its previous experiences, the programmer gets closer and closer to understanding and defining the problem. The…
Descriptors: Problem Solving, Programming, Mathematics, Programming Languages
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Budak, Esra Çoban; Geçer, Aynur Kolburan; Topal, Arzu Deveci – Journal of Learning and Teaching in Digital Age, 2021
With the development of information and communication technologies, access to information is becoming easier every day. Consequently, individuals' abilities to interpret information that especially exists in the learning processes, to produce new knowledge and to use the information produced have gained more importance day by day. The aim of this…
Descriptors: Instructional Effectiveness, Programming Languages, Computer Science Education, Reflection
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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
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Solin, Pavel; Roanes-Lozano, Eugenio – International Journal for Technology in Mathematics Education, 2020
Many mathematics educators are not aware of a strong connection that exists between the education of computer programming and mathematics. The reason may be that they have not been exposed to computer programming. This connection is worth exploring, given the current trends of automation and Industry 4.0. Therefore, in this paper we take a closer…
Descriptors: Computer Science Education, Mathematics Education, Programming Languages, Interdisciplinary Approach
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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
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Flores, Rejeenald M.; Rodrigo, Ma. Mercedes T. – Journal of Educational Computing Research, 2020
Wheel-spinning refers to the failure to master a skill in a timely manner or after a considerable number of practice opportunities. Several past studies have developed wheel-spinning models in the areas of Mathematics and Physics. However, no models have been made for the context of novice programming. The purpose of this study was to develop…
Descriptors: Mastery Learning, Novices, Programming, Computer Science Education
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Nouri, Jalal; Zhang, Lechen; Mannila, Linda; Norén, Eva – Education Inquiry, 2020
Teachers around the world have started teaching programming at the K-9 level, some due to the formal introduction of programming in the national curriculum, others without such pressure and on their own initiative. In this study, we attempted to understand which skills -- both CT-related and general -- are developed among pupils in the process of…
Descriptors: Skill Development, Computer Science Education, 21st Century Skills, Thinking Skills
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Donoghue, Thomas; Voytek, Bradley; Ellis, Shannon E. – Journal of Statistics and Data Science Education, 2021
Nolan and Temple Lang's "Computing in the Statistics Curricula" (2010) advocated for a shift in statistical education to broadly include computing. In the time since, individuals with training in both computing and statistics have become increasingly employable in the burgeoning data science field. In response, universities have…
Descriptors: Statistics Education, Teaching Methods, Computation, Curriculum Design
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