fieldid E-Thesis & Research สถาบันเทคโนโลยีไทย-ญี่ปุ่น
สืบค้น:

เขตข้อมูล ข้อมูล
บทคัดย่อ
The development of IoT system for data analytics on students’ behavior : The student behavior research conduct is the fundamental factor that straightforwardly influences the aftereffect of the examination. Thus, there are research teams from all over the world working on the studies to find some key correlation factors between study results and study behavior. This research applied the use of Beacon, one of the newest IoT technologies to obtain real-time information from the users. Then, collect the data on the cloud storage server (Google Firebase). After that, the data cleansing was done to purely confirm the originality of the collected data. The final process is to find a correlation of the user movement patterns and the study results. As a result, we found that the comfortable research participants (students) got a high performance on their full semester study results. However, we cannot extremely interpret the research findings due to various technology limitations at this moment (2019-2020). Moreover, the key design of our research methods might need some further improvements to gather very clear input data and obtain a significant research finding in the future.
ผู้แต่ง
Sorawit Fongin, Prajak Chertchom, Patinya Ketthong, Nattagit Jiteurtragool, Jirayu Samkunta, Ferdin Joe John Joseph และ Chatchai Wannaboon
ประเภทสิ่งพิมพ์
งานวิจัย คณะเทคโนโลยีสารสนเทศ 2019
เลขหน้า
40
หัวเรื่อง
Internet of things
หัวเรื่อง
System Design
เอกสารฉบับเต็ม
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