Conceptual Design of Digital Anxiety Detection-Tools for Students School Anxiety

Abstract

This study aimed to develop a conceptual design of DAD (Digital Anxiety Detection-tools) for students. DAD is an alternative tool to identify student anxiety more specifically and in real-time based on physical symptoms and the identification of students' psychological conditions. This research model uses the modified ADDIE design with the Analyze, Design and Development stages. The results of this study identified physiological symptoms of anxiety experienced by students in the form of increased heart rate, shortness of breath, cold sweat, and several other symptoms. The product prototype theoretically focuses on measuring the physiological symptoms of student anxiety. The product prototype is a flowchart design, a tool to measure the condition of students' anxiety symptoms in real-time, and can compare them to the baseline of students' situations. The digital application system is based on Convolutional Neural Network (CNN), integrated with a digital sphygmomanometer and Passive infrared. The results of this research are still in the form of product design, so it requires further development steps in the development, implementation, and evaluation process.

Assessing ideal teacher’s personality: Students’ perspective and expectations

“…On the other hand, several other issues also state that teachers are targets of student violence. Another phenomenon also mentions several violations of the law by teachers, both in the form of corruption, violence, sexual abuse, and other acts of violence [24]- [26]. These issues indicate these teachers' lack of fulfilment of the educator's code of ethics.…”