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Shumway, Jessica F.; Welch, Lise E.; Kozlowski, Joseph S.; Clarke-Midura, Jody; Lee, Victor R. – Mathematical Thinking and Learning: An International Journal, 2023
The purpose of this study was to explore how kindergarten students (aged 5-6 years) engaged with mathematics as they learned programming with robot coding toys. We video-recorded 16 teaching sessions of kindergarten students' (N = 36) mathematical and programming activities. Students worked in small groups (4-5 students) with robot coding toys on…
Descriptors: Kindergarten, Preschool Children, Mathematics Education, Knowledge Level
Theodosios Sapounidis; Sophia Rapti; Julie Vaiopoulou – Journal of Science Education and Technology, 2025
Communication, collaboration, critical thinking, and creativity are regarded as core skills of the twenty-first century required to succeed in life and working frameworks. Meanwhile, new technologies have entered educational settings to facilitate children's development of competencies. During the last decade, several studies have been conducted…
Descriptors: Robotics, Creative Thinking, Critical Thinking, Kindergarten
Yogi, Jonathan Kimei – ProQuest LLC, 2023
Jung and Won's (2018) review of elementary school ER found a lack of understanding of instructional practices for ER with young children. Other researchers have called for further studies into what effective classroom orchestration and interaction look like within ER classrooms (Ioannou & Makridou, 2018; Xia & Zhong, 2019). This study was…
Descriptors: Computer Science Education, Robotics, Group Dynamics, Gender Differences
Zhong, Baichang; Wang, Yanxia – International Journal of Technology and Design Education, 2021
Pair learning (PL) in robotics education is derived from pair programming, and impacted by many factors. Two important factors were identified including roles assignment and learning styles in this study. The roles assignment involved Driver-Navigator Pair and Software-Hardware Pair. For the learning style, the dimension of active/reflective was…
Descriptors: Cooperative Learning, Role, Robotics, Cognitive Style
Wang, Weitian; Coutras, Constantine; Zhu, Michelle – Smart Learning Environments, 2021
With the increasing employment of robots in multiple areas such as smart manufacturing and intelligent transportation, both undergraduate and graduate students from computing related majors (e.g., computer science and information technology) demonstrated strong interests in learning robotics technology to broaden their career opportunities.…
Descriptors: Computer Science Education, College Students, Situated Learning, Robotics
Bertrand Schneider; Tonya Bryant – Cognition and Instruction, 2024
The goal of this paper is to bring new insights to the study of social learning processes by designing measures of collaboration using high-frequency sensor data. More specifically, we are interested in understanding the interplay between moments of collaboration and cooperation, which is an understudied area of research. We collected a multimodal…
Descriptors: Eye Movements, Socialization, Attention Control, Correlation
Chen, Ching-Huei; Yang, Chin-Kun; Huang, Kun; Yao, Kai-Chao – Journal of Computer Assisted Learning, 2020
Robotics education has received an increasing attention in recent years as a means to build students' motivation, team collaboration skills, and other valuable 21st century competencies. Yet there is a lack of experimental studies to investigate and identify strategies to facilitate robotics education. This study adopted a 2 × 2 quasi-experimental…
Descriptors: Computer Simulation, Competition, Robotics, 21st Century Skills
Carsten Lecon – Athens Journal of Education, 2024
In this paper, we describe a teaching scenario using a virtual environment (known also in the context of the 'metaverse'). This is motivated by the challenges that arise during the pandemic. More and more teaching scenarios are transferred to online learning settings, which allow learning at any time and at any time. One of the possibilities are…
Descriptors: Electronic Learning, Virtual Classrooms, Computer Simulation, Artificial Intelligence
Zhan, Zehui; He, Guoqing; Li, Tingting; He, Luyao; Xiang, Siyu – Journal of Computer Assisted Learning, 2022
Background: Group size is one of the important factors that affect collaborative learning, however, there is no consensus in the literature on how many students should the groups be composed of during the problem-solving process. Objectives: This study investigated the effect of group size in a K-12 introductory Artificial Intelligence course by…
Descriptors: Cognitive Ability, High School Students, Cooperative Learning, Artificial Intelligence
Ng, Davy Tsz Kit; Lee, Min; Tan, Roy Jun Yi; Hu, Xiao; Downie, J. Stephen; Chu, Samuel Kai Wah – Education and Information Technologies, 2023
In recent years, with the popularity of AI technologies in our everyday life, researchers have begun to discuss an emerging term "AI literacy". However, there is a lack of review to understand how AI teaching and learning (AITL) research looks like over the past two decades to provide the research basis for AI literacy education. To…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technological Literacy, Literacy Education
Zhong, Baichang; Li, Tingting – Journal of Educational Computing Research, 2020
In Robotics Education (RE), the hands-on experience with troubleshooting problems is seen as a good catalyst to enhance the participants' problem-solving skills. Based on the pedagogical technique of collaborative learning and pair programming, pair learning is an emerging and potential method in RE, which means that students collaborate in pairs…
Descriptors: Robotics, Troubleshooting, Problem Solving, Teaching Methods
Kanika; Chakraverty, Shampa; Chakraborty, Pinaki – Journal of Educational Technology Systems, 2020
Courses on computer programming are included in the curricula of almost all engineering disciplines. We surveyed the research literature and identified the techniques that are commonly used by instructors for teaching these courses. We observed that visual programming and game-based learning can enhance computational thinking and problem-solving…
Descriptors: Teaching Methods, Programming, Computer Science Education, Robotics
Pullan, Marie – Journal of Educational Technology Systems, 2013
Several college majors, outside of computer science, require students to learn computer programming. Many students have difficulty getting through the programming sequence and ultimately change majors or drop out of college. To deal with this problem, active learning techniques were developed and implemented in a freshman programming logic and…
Descriptors: Robotics, Introductory Courses, Programming, Computer Science Education
High School Students' Views on the PBL Activities Supported via Flipped Classroom and LEGO Practices
Cukurbasi, Baris; Kiyici, Mubin – Educational Technology & Society, 2018
The purpose of this study was to investigate the high school students' views on instructions based on Flipped Classroom Model (FC) and LEGO applications. The case study, which is one of the qualitative research methods, was used within the scope of the study, the duration of which was 7 weeks. In order to choose the research group of the study,…
Descriptors: High School Students, Student Attitudes, Grade 10, Problem Based Learning
Riek, L. D. – IEEE Transactions on Education, 2013
This paper describes a newly designed upper-level undergraduate and graduate course, Autonomous Mobile Robots. The course employs active, cooperative, problem-based learning and is grounded in the fundamental computational problems in mobile robotics defined by Dudek and Jenkin. Students receive a broad survey of robotics through lectures, weekly…
Descriptors: Robotics, Active Learning, Cooperative Learning, Problem Based Learning
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