Abstract
The aims of this research are 1) To study the level of Adversity Quotient (AQ) and the level of work behavior of students practicing in the Work-based Learning (WBL). of a college in Thailand and 2) To study the level of satisfaction in using the student monitoring system for practicing students in the work-based learning (WBL). The sample group the study consisted of 20 intern students and 20 interns from business establishments. The researcher used a test of Adversity Quotient (AQ), a student behavior assessment form. And satisfaction assessment form it is a tool for collecting data. The statistics used in data analysis include basic statistics, Percentage, Mean and Standard Deviation and t-test dependent. 1) The results of comparing the average scores before and after training found that the average scores of the adaptability and problem-solving skills test were higher after training than before training, with a score of 143.05 > 125.50, and the average scores of the student work behavior test were higher after training than before training, with a score of 109.10 > 76.15, which is statistically significant at the 0.01 level. And 2) the overall average satisfaction level is in the highest level of satisfaction (x ̅= 4.64). The area with the highest level of satisfaction is the student tracking process, followed by the supervision from the advising teacher.
Author Information
Benjamaporn Jantorn, King Mongkut’s University of Technology Thonburi, Thailand
Sumalee Chanchalor, King Mongkut’s University of Technology Thonburi, Thailand
Surachai Suksakulchai, King Mongkut’s University of Technology Thonburi, Thailand
Paper Information
Conference: ACE2023
Stream: Learning Experiences
This paper is part of the ACE2023 Conference Proceedings (View)
Full Paper
View / Download the full paper in a new tab/window
To cite this article:
Jantorn B., Chanchalor S., & Suksakulchai S. (2024) Reflections on Using a Monitoring System for Participating Students in Work-Based Learning (WBL) Aimed at Developing the Adversity Quotient (AQ) Through Cloud Computing Technology ISSN: 2186-5892 The Asian Conference on Education 2023: Official Conference Proceedings https://doi.org/10.22492/issn.2186-5892.2024.154
To link to this article: https://doi.org/10.22492/issn.2186-5892.2024.154
Comments
Powered by WP LinkPress