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Haddaway, Neal R.; Grainger, Matthew J.; Gray, Charles T. – Research Synthesis Methods, 2022
Systematic searching aims to find all possibly relevant research from multiple sources, the basis for an unbiased and comprehensive evidence base. Along with bibliographic databases, systematic reviewers use a variety of additional methods to minimise procedural bias. Citation chasing exploits connections between research articles to identify…
Descriptors: Literature Reviews, Citation Analysis, Citations (References), Information Seeking
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Prasad, Alvin; Chaudhary, Kaylash; Sharma, Bibhya – Education and Information Technologies, 2022
As a novice, learning computer programming is challenging. It requires learners to be inquisitive and acquire skills to analyze problems to get to solutions critically. Unfortunately, students drop out of programming courses because students think that programming is difficult to understand. The student's understanding of the problem definition is…
Descriptors: Programming, Computer Science Education, Skill Development, Computer Literacy
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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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Arslan Namli, Nihan; Aybek, Birsel – Contemporary Educational Technology, 2022
This paper investigated the effect of block-based programming and unplugged coding teaching activities on fifth graders' computational thinking skills, self-efficacy, and academic performance. The teaching activities were conducted within the scope of the "Problem-Solving and Programming" unit of the Information Technologies and Software…
Descriptors: Programming, Computer Science Education, Grade 5, Computation
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Gao, Zhikai; Erickson, Bradley; Xu, Yiqiao; Lynch, Collin; Heckman, Sarah; Barnes, Tiffany – Journal of Educational Data Mining, 2022
Demand for education in Computer Science has increased markedly in recent years. With increased demand has come to an increased need for student support, especially for courses with large programming projects. Instructors commonly provide online post forums or office hours to address this massive demand for help requests. Identifying what types of…
Descriptors: Computer Science Education, Help Seeking, College Faculty, Teacher Role
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Sung, Woonhee; Ahn, Junghyun; Black, John B. – Journal of Research in Childhood Education, 2022
Using robotics and programming, this study investigated the effects of different levels of embodied instruction on the problem-solving, debugging, programming proficiency, self-determination, and self-efficacy of students in ethnically diverse elementary classrooms. The first small-scale, quasi-experimental study involved 37 second-graders, who…
Descriptors: Elementary School Students, Academic Achievement, Student Attitudes, Robotics
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Daher, Wajeeh – Computers in the Schools, 2022
The robotics context is suggested as a context that supports the learning of the sciences including mathematics. The present study investigates how the robotics context affects students' motivation for learning mathematics. Two groups of seventh-grade students participated in the present research: a robotics class (32 students) and a regular class…
Descriptors: Student Motivation, Mathematics Education, Robotics, Programming
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de Lira, Carla; Wong, Rachel; Oje, Olufunso; Nketah, Gabriel; Adesope, Olusola; Ghods, Alireza – International Journal of Computer Science Education in Schools, 2022
Current research has not fully explored how summer programming camps can help students increase motivation and interest to pursue computing career, and their programming knowledge. Informal CS education through summer programming camps provides K-12 students the opportunity to learn how to code through fun and interactive activities outside of…
Descriptors: Summer Programs, Programming, Camps, Active Learning
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Stephens, Courtney; Recker, Mimi; Lee, Victor R.; Clarke-Midura, Jody – Journal of Technology and Teacher Education, 2022
Elementary school teachers are increasingly being asked to teach computer science (CS)--a subject area with which they often have little familiarity. To address this gap, teacher professional development (PD) is a common approach for helping teachers become familiar with CS content. This paper describes a collaborative PD designed to accompany a…
Descriptors: Elementary School Teachers, Computer Science Education, Faculty Development, Programming
Carl Christopher Haynes-Magyar – ProQuest LLC, 2022
Novice programmers need well-designed instruction and assessment informed by research and critical perspectives to conquer the historical challenges associated with completing introductory computer programming courses successfully. These issues include high dropout and failure rates, the struggle to acquire and retain basic programming knowledge,…
Descriptors: Programming, Electronic Publishing, Books, Computer Science Education
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Williamson, Ben; Bergviken Rensfeldt, Annika; Player-Koro, Catarina; Selwyn, Neil – Journal of Education Policy, 2019
Education policy increasingly takes place across borders and sectors, involving a variety of both human and nonhuman actors. This comparative policy paper traces the 'policy mobilities,' 'fast policy' processes and distributed 'policy assemblages' that have led to the introduction of new computer programming practices into schools and curricula in…
Descriptors: Educational Policy, Computer Science Education, Programming, Foreign Countries
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Merve Aydin; Ünal Çakiroglu – Journal of Computer Assisted Learning, 2025
Background: Students experience higher-order thinking skills by finding ways to solve the problem, debugging errors while applying the solution, and testing the solution in programming. However, the inability to create schemas that will characterise programming structures is one of the difficulties during this process. Objectives: This study aimed…
Descriptors: Programming, Computer Science Education, Thinking Skills, Problem Solving
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Camila Porto; Emiliano Pereiro; María Eugenia Curi; Victor Koleszar; Alar Urruticoechea – Journal of Research on Technology in Education, 2025
The Uruguayan computational thinking (CT) program promotes CT skills for students in fourth, fifth, and sixth grades. Since 2017, it has reached over 70,000 students, with participation and Bebras challenge performance equally distributed by gender. This study examines gender perspectives in the program, focusing on teacher perceptions, student…
Descriptors: Computation, Thinking Skills, Foreign Countries, Teacher Attitudes
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Zhizezhang Gao; Haochen Yan; Jiaqi Liu; Xiao Zhang; Yuxiang Lin; Yingzhi Zhang; Xia Sun; Jun Feng – International Journal of STEM Education, 2025
Background: With the increasing interdisciplinarity between computer science (CS) and other fields, a growing number of non-CS students are embracing programming. However, there is a gap in research concerning differences in programming learning between CS and non-CS students. Previous studies predominantly relied on outcome-based assessments,…
Descriptors: Computer Science Education, Mathematics Education, Novices, Programming
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Christine Ladwig; Dana Schwieger – Information Systems Education Journal, 2024
Hollywood screenwriters worry about Artificial Intelligence (AI) replacements taking over their jobs. Famous museums litigate to protect their art from AI infringement. A major retailer scraps a machine-learning based recruitment program that was biased against women. These are just a few examples of how AI is affecting the world of work,…
Descriptors: Computer Science Education, Curriculum Development, Information Systems, Information Science Education
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