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Jeremy Jon Bro – ProQuest LLC, 2023
Secure Code Education (SCE) is the compliance requirement for many organizations in the U.S. Consequently, many U.S. companies spend large sums on programs and tooling to meet this requirement and to upskill their developers. This tooling is largely underutilized. Classes beyond the bare required minimum are often not taken advantage of, leaving…
Descriptors: Coding, Gamification, Vignettes, Programming
Tess Levinson; Marina Bers – International Journal of Technology and Design Education, 2025
Policy emphases on early childhood and elementary computer science education have led to the development of many developmentally appropriate computer science and robotics tools, pedagogies, and high-quality curricula. One example is the integrated Coding as Another Language pedagogy for coding, literacy, and social and emotional learning. The…
Descriptors: Robotics, Preschool Education, Coding, Program Effectiveness
Canbeldek, Merve; Isikoglu, Nesrin – Education and Information Technologies, 2023
Recently, coding and robotics education has started to be integrated into early childhood education in Turkey. The current study aims to investigate the effects of "Productive Children: Coding and Robotics Education Program (PCP)" on children's cognitive development skills, language development and creativity. Eighty children, enrolled…
Descriptors: Foreign Countries, Young Children, Kindergarten, Coding
I?brahim Bozan; Erdal Taslidere – International Journal of Contemporary Educational Research, 2024
Coding tools that use blocks to create programs are popular among kids and play a key role in learning how to code. The effectiveness of the coding courses that are available nowadays depends on how well the tools match the students' needs. The aim of this study is to reveal the impact of digital game design-supported coding education with Scratch…
Descriptors: Academically Gifted, Grade 3, Elementary School Students, Foreign Countries
Shi, Yang; Mao, Ye; Barnes, Tiffany; Chi, Min; Price, Thomas W. – International Educational Data Mining Society, 2021
Automatically detecting bugs in student program code is critical to enable formative feedback to help students pinpoint errors and resolve them. Deep learning models especially code2vec and ASTNN have shown great success for "large-scale" code classification. It is not clear, however, whether they can be effectively used for bug…
Descriptors: Artificial Intelligence, Program Effectiveness, Coding, Computer Science Education
Xiner Liu; Andres Felipe Zambrano; Ryan S. Baker; Amanda Barany; Jaclyn Ocumpaugh; Jiayi Zhang; Maciej Pankiewicz; Nidhi Nasiar; Zhanlan Wei – Journal of Learning Analytics, 2025
This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…
Descriptors: Coding, Artificial Intelligence, Automation, Data Analysis
Erdogan, Rumeysa; Saglam, Zeynep; Cetintav, Gulay; Karaoglan Yilmaz, Fatma Gizem – Smart Learning Environments, 2023
Like all sectors, the education sector has been negatively affected by the Covid-19 pandemic. Considering the decision to conduct face-to-face training in schools remotely, teachers had many difficulties in moving course content to the online platform. Teachers who perform robotic coding applications are looking for ways to do these activities…
Descriptors: COVID-19, Pandemics, Educational Technology, Online Courses
Karademir Coskun, Tugra – Interactive Learning Environments, 2022
In this research, robot training was conducted with teacher candidates in the department of special education, and the effectiveness of robot training was analyzed at the end of the training program. The design of the study is phenomenology. The study has been carried out with 44 teacher candidates from special education, selected by a purposeful…
Descriptors: Robotics, Training, Preservice Teachers, Models
Liu, Fang; Zhao, Liang; Zhao, Jiayi; Dai, Qin; Fan, Chunlong; Shen, Jun – IEEE Transactions on Learning Technologies, 2022
Educational process mining is now a promising method to provide decision-support information for the teaching-learning process via finding useful educational guidance from the event logs recorded in the learning management system. Existing studies mainly focus on mining students' problem-solving skills or behavior patterns and intervening in…
Descriptors: Data Use, Learning Management Systems, Problem Solving, Learning Processes
Jennifer Dralle-Moreano – ProQuest LLC, 2021
The 21st century has seen a rapid growth in technological use in schools. Many schools now use computers and other digital devices in order to meet the academic needs of their students. The purpose of this qualitative study was to explore the benefits and barriers that K-8 educators experienced when integrating or teaching coding curriculum in…
Descriptors: Teacher Attitudes, Coding, Elementary School Teachers, Middle School Teachers
Flynn, Erin; Motiff, Marisa; Mueller, Megan K.; Morris, Kevin N. – International Journal of Behavioral Development, 2023
Emotion regulation is a key developmental skillset, but many existing measures rely on self-report or laboratory-based measurement approaches. This study aimed to develop a training and implementation protocol for the widely used Facial Expression Coding System (FACES) to be used in real-world settings with pre-recorded video data. A revised…
Descriptors: Middle School Students, Special Education, Nonverbal Communication, Training
Serhat Altiok; Memet Üçgül – Canadian Journal of Learning and Technology, 2024
In recent years, computational thinking has garnered increased attention as an essential problem-solving skill. One of the methods to develop students' computational thinking skills is robotic coding activities. This study sought to investigate the impact of robotic coding activities on the self-efficacy perceptions of secondary school students'…
Descriptors: Robotics, Computation, Thinking Skills, Secondary School Students
Lyon, Louise Ann; Clayton, Chelsea – ACM Transactions on Computing Education, 2021
Female-focused, grassroots communities purporting to help women learn to code are popping up in a variety of settings, indicating the motivation on the part of the participants to evade male-dominated settings while learning. However, little is known about how these groups function as an activity system. With current technology enabling the…
Descriptors: Females, Coding, Communities of Practice, Womens Education
Ana Maria Villanueva – ProQuest LLC, 2022
Emerging technologies in the classroom are paving the way towards high-quality, hands-on distance learning. Augmented Reality (AR), which overlays virtual information into the physical world, provides a promising solution for the development and delivery of collaborative educational content. Frameworks such as ARkit, ARCore, have enabled AR…
Descriptors: Computer Simulation, Educational Technology, Barriers, Robotics
Meghan L. McSherry; Becca A. Leininger; Maria L. Johnson; AnnMarie P. Thomas; Susan Outlaw; Douglas C. Orzolek – Journal of Science Education for Students with Disabilities, 2024
The purpose of this research project was to design, deliver, and informally assess the content and methodology of an introductory online course for the educators of Deaf and Hard of Hearing students (N=20) that focused on the block-based coding language, Scratch. Prior work by The Playful Learning Lab examined various STEM resources and their…
Descriptors: Deafness, Hard of Hearing, Online Courses, Summer Programs
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