Self-assessing psychomotor skills using thinking-aloud technique via smartphone

This research aims to design and develop an automated device for self-assessing psychomotor skills without an instructor’s observation. The lab assessment usually needs an instructor to observe, measure, and analyze the student's skills. It consumed much time to monitor each student. The problem of assessing psychomotor skills in the laboratory can be solved using the latest technology. Thus, the design of an Automated Psychomotor Testing Kit will be used to measure student psychomotor skills via a smartphone. The result can be transmitted to the instructor's smartphone via the Blynk application using the Arduino Mega and Bluetooth module. For this research, 17 students of Robotic and Automation Technology (Treatment Group) and 19 volunteered students from other engineering technology programs (Control Group) participated. The detailed methodology is described in this paper. The results show that there is a significant difference in mean scores between the treatment and control groups. Thus, the researcher can conclude that changes in students' Psychomotor Skills (P.S.) resulting from laboratory classes are statistically significant and be measured.