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Kostousov, Sergei A.; Simonova, Irina V. – International Association for Development of the Information Society, 2019
The purpose of the article is to identify conditions for the effective use of visual modeling tools that can help reduce the difficulty level of solving problems during the teaching high school students programming. Visual modeling tools are a type of software that allows you to create visual abstractions that reproduce concepts and objects of the…
Descriptors: Visual Aids, Models, Problem Solving, Computer Science Education
Yang Xu – ProQuest LLC, 2019
The demand for talent in the technology sector and the notion of computational thinking as everyday skills propel computing to enter middle school classrooms. The growing popularity of physical computing in educational spaces also infuses computing with elements of creativity and joy. Despite these recent movements, computing remains primarily in…
Descriptors: Programming Languages, Middle School Students, Middle School Teachers, Sciences
Sözeri, Mahmut Can; Kert, Serhat Bahadir – International Journal of Computer Science Education in Schools, 2021
In this study, the effects of interactive video usage in programming education on academic achievement and self-efficacy perception of programming were investigated by taking into account learning styles. The research was patterned according to the causal-comparative model, and also, correlation analysis was performed for related research.…
Descriptors: Correlation, Interactive Video, Programming, Academic Achievement
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
Solorio, Christian D.; Gire, Elizabeth; Roundy, David – Physical Review Physics Education Research, 2021
The COVID-19 pandemic has made conducting in-person research a health risk for interviewers and participants. Near the start of the pandemic, many universities pivoted to emergency remote teaching where courses were delivered remotely in observance of safety guidelines. The safety guidelines also necessitated that research be done remotely. We…
Descriptors: COVID-19, Pandemics, School Closing, Distance Education
Kwon, Kyungbin; Ottenbreit-Leftwich, Anne T.; Brush, Thomas A.; Jeon, Minji; Yan, Ge – Educational Technology Research and Development, 2021
This study investigated how a computer science (CS) problem-based curriculum impacted elementary students' CS learning and attitudes. Four sixth-grade teachers and 200 of their students participated in the study. Researchers developed a CS curriculum in collaboration with the teachers, which consisted of two main units: (1) an introduction to…
Descriptors: Problem Based Learning, Elementary School Curriculum, Elementary School Students, Student Attitudes
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
Uca Özturk, Fatma; Özdemir, Muzaffer; Özbasi, Durmus – Educational Policy Analysis and Strategic Research, 2021
This study aims to reveal how project-based teaching method affects students' achievement, cognitive load and behaviors in programming teaching. In the study, the pretest-posttest, unequaled control group quasi-experimental model, which is one of the experimental models, was used. The participants of the study were sixth grade students who take…
Descriptors: Active Learning, Student Projects, Programming, Computer Science Education
Hansen, Alexandria; Gribble, Jim; Moran, Amber; Hansen, Eric; Harlow, Danielle – Science and Children, 2021
In an increasingly digital world, the elementary school students of today who learn to program will be positioned to re-imagine and build the future. As educators, it is essential to consider how such an important skill is made accessible for a diverse range of students, including those diagnosed with learning disabilities. In this article, the…
Descriptors: Science Instruction, Elementary School Science, Programming, Grade 4
Active Learning in the Context of the Teaching/Learning of Computer Programming: A Systematic Review
Berssanette, João Henrique; de Francisco, Antonio Carlos – Journal of Information Technology Education: Research, 2021
Aim/Purpose: This paper presents the results of a systematic literature review that sought to identify the studies that relate the different pedagogical techniques by which active learning is developed in the context of the teaching/learning of computer programming, with the objective to characterize the approaches, the pedagogical techniques…
Descriptors: Active Learning, Computer Science Education, Programming, Educational Research
Keegans, James D.; Stancliffe, Richard J.; Bilton, Lawrence E.; Cashmore, Claire R.; Gibson, Brad K.; Kristensen, Mikkel Theiss; Lawson, Thomas V.; Pignatari, Marco; Vaezzadeh, Iraj; Côté, Benoit; Chongchitnan, Siri – Physics Education, 2021
We present our outreach program, the "Thailand-UK Python+Astronomy Summer School" (ThaiPASS), a collaborative project comprising UK and Thai institutions and assess its impact and possible application to schools in the United Kingdom. Since its inception in 2018, the annual ThaiPASS has trained around 60 Thai high-school students in…
Descriptors: International Programs, Program Effectiveness, Outreach Programs, High School Students
Guenaga, Mariluz; Eguíluz, Andoni; Garaizar, Pablo; Gibaja, Juanjo – Computer Science Education, 2021
Background and Context: Despite many initiatives to develop Computational Thinking (CT), not much is known about how early programmers develop CT and how we can assess their learning. Objective: Determine if the analysis of students' interactions with an online platform allows understanding the development of CT, how we can convert data collected…
Descriptors: Computation, Thinking Skills, Skill Development, Cognitive Tests
Sun, Dan; Ouyang, Fan; Li, Yan; Zhu, Caifeng – International Journal of STEM Education, 2021
Background: Unplugged programming is proved to be an effective means to foster the learner-centered programming learning. In addition to the final tests, learners' programming knowledge, skills, and capacities are primarily demonstrated throughout the programming process, particularly in the situation when they encounter challenges and problems.…
Descriptors: Programming, Secondary School Students, Secondary School Teachers, Knowledge Level
Spruill, Nyissia Charmaine; Hennessy Elliott, Colin; Della Volpe, Daniela; Alcantara, Keidy – Journal of Pre-College Engineering Education Research, 2021
This paper examines video data of a high school robotics team to explore practices that empower youth from underrepresented groups in engineering to disrupt traditional boundaries around what engineering is and who is considered competent to participate in its practice. We analyze in-the-moment positioning work with a focus on care and maintenance…
Descriptors: Engineering Education, STEM Education, Robotics, Programming
Zheng, Lanqin – Lecture Notes in Educational Technology, 2021
This book highlights the importance of design in computer-supported collaborative learning (CSCL) by proposing data-driven design and assessment. It addresses data-driven design, which focuses on the processing of data and on improving design quality based on analysis results, in three main sections. The first section explains how to design…
Descriptors: Data Use, Instructional Design, Computer Assisted Instruction, Cooperative Learning