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Effect of Visual Programming Instruction on Students' Flow Experience, Programming Self-Efficacy, and Sustained Willingness to Learn
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Chiao Ling Huang; Lianzi Fu; Shih-Chieh Hung; Shu Ching Yang – Journal of Computer Assisted Learning, 2025
Background: Many studies have highlighted the positive effects of visual programming instruction (VPI) on students' learning experiences, programming self-efficacy and flow experience. However, there is a notable gap in the research on how these factors specifically impact programming achievement and learning intentions. Our study addresses this…
Descriptors: Attention, Self Efficacy, Visual Aids, Instructional Effectiveness
Effects of Robotic Module-Supported Experimental Activities with the Cooperative Learning Method on Student Achievement, 21st-Century Skills, and Students' Opinions
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Filiz Avci – Journal of Computer Assisted Learning, 2024
Background Study: Developments in science and technology, have created a need for technology-supported learning environments. Robotics is a technology widely used in science education. Collaborative learning is one of the methods used in education based on the constructivist approach. Using robotic and cooperative learning together is a new and…
Descriptors: Robotics, Teaching Methods, Academic Achievement, 21st Century Skills
Effective Instruction Conditions for Educational Robotics to Develop Programming Ability of K-12 Students: A Meta-Analysis
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Sun, Lihui; Zhou, Danhua – Journal of Computer Assisted Learning, 2023
Background: As one of the mainstream forms of programming education, educational robotics (ER) have been a crucial way to develop K-12 students' programming ability. Objectives: The purpose of this study is to clarify the content of programming ability, to verify the effectiveness of ER as a teaching method to improve students' programming…
Descriptors: Elementary School Students, Secondary School Students, Robotics, Programming
Can Educational Robotics Introduce Young Children to Robotics and How Can We Measure It?
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Castro, Emanuela; Cecchi, Francesca; Valente, Massimiliano; Buselli, Elisa; Salvini, Pericle; Dario, Paolo – Journal of Computer Assisted Learning, 2018
Studies have shown that educational robotics (ER) may impact student learning, especially in relation to STEM (science, technology, engineering, and mathematics) areas. In the STEM framework, particularly for younger children, the "E" and the "T" are considered to be missing letters, because few studies have concentrated on…
Descriptors: Robotics, STEM Education, Teaching Methods, Gender Differences
Attending to Structural Programming Features Predicts Differences in Learning and Motivation
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Witherspoon, Eben B.; Schunn, Christian D.; Higashi, Ross M.; Shoop, Robin – Journal of Computer Assisted Learning, 2018
Educational robotics programs offer an engaging opportunity to potentially teach core computer science concepts and practices in K-12 classrooms. Here, we test the effects of units with different programming content within a virtual robotics context on both learning gains and motivational changes in middle school (6th-8th grade) robotics…
Descriptors: Robotics, Computer Science Education, Programming, Units of Study
Improvement of Japanese Adults' English Speaking Skills via Experiences Speaking to a Robot
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Iio, Takamasa; Maeda, Ryota; Ogawa, Kohei; Yoshikawa, Yuichiro; Ishiguro, Hiroshi; Suzuki, Kaori; Aoki, Tomohiro; Maesaki, Miharu; Hama, Mika – Journal of Computer Assisted Learning, 2019
This paper reports how robot-assisted language learning (RALL) impacts Japanese adults' English speaking skills. With existing research on RALL focusing on children, there is little evidence indicating RALL's effects on adults. We developed a RALL system comprising a robot, a tablet, and designed learning materials for speaking practice. To…
Descriptors: English (Second Language), Pretests Posttests, Asians, Accuracy
Using Robot Animation to Promote Gestural Skills in Children with Autism Spectrum Disorders
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So, W.-C.; Wong, M. K.-Y.; Cabibihan, J.-J.; Lam, C. K.-Y.; Chan, R. Y.-Y.; Qian, H.-H. – Journal of Computer Assisted Learning, 2016
School-aged children with autism spectrum disorders (ASDs) have delayed gestural development, in comparison with age-matched typically developing children. In this study, an intervention program taught children with low-functioning ASD gestural comprehension and production using video modelling (VM) by a computer-generated robot animation. Six to…
Descriptors: Robotics, Animation, Nonverbal Communication, Young Children