การออกแบบระบบสมองกลฝั่งตัวเพื่อการเรียนรู้ โดยใช้เครื่องข่ายเซนเซอร์ไร้สาย

• Main Author: อัฐพันธุ์ จันทร์อินทร์
• Other Authors: อาจารย์ดร.อานันท์ สีห์พิทักษ์เกียรติ
• Format: Theses and Dissertations
• Language: other
• Published: เชียงใหม่ : บัณฑิตวิทยาลัย มหาวิทยาลัยเชียงใหม่ 2020
• Online Access: http://cmuir.cmu.ac.th/jspui/handle/6653943832/69490
• Institution: Chiang Mai University

This work presents a design case-study of an Internet of Things (IoT) learning toolkit that highlights salient design principles for the maker community. This work showcases the careful decision about what to expose to and what to hide from the learner. We look at Blikstein’s idea of “selective exposure” and build upon the fundamental constructionist design principles: low-floor, high-ceiling, and wide walls. The researchers have designed an IoT platform consisting of a physical computing kit called the “White Arrow”. Initial field tests were carried out with 17 secondary school students aging from 13 to 18. Students were introduced to the toolkit and were encouraged to develop project ideas. The researchers collected students’ experiences with the toolkit through observation, interviews, and questionnaires. The results were clearly positive considering the learning overhead, feedback from students, and project ideas that were generated. Although still work in progress, we hope to highlight important tool design principles that can help make Fab Labs and maker spaces more learning-focused and more inclusive.