Administration of the student assistant system using information technology affecting student risk behaviors in Schools under the Secondary Educational Service Area Office Chanthaburi Trat
This research aims to: 1) study the administration of the student assistant system using information technology, 2) study student risk behaviors in schools, 3) study the relationship between the administration of the student assistant system using information technology and student risk behaviors in schools, and 4) create prediction equations for predicting the administration of the student assistant system using information technology affecting student risk behaviors in schools under the Secondary Educational Service Area Office Chanthaburi Trat. The sample used in the research was a group of 306 teachers in schools under the Secondary Educational Service Area Office Chanthaburi Trat. The sample size was determined by using the table of Krejcie and Morgan. Proportional Stratified Random Sampling and the schools’ province was used to select the sample. The instrument used in the research was a 5-rating scale questionnaire divided into 2 parts: Part 1 was about the administration of the student assistant system using information technology with a reliability of 0.94, and Part 2 was about student risk behaviors in schools with a reliability of 0.98. The statistics used for data analysis were: average, standard deviation, Pearson correlation coefficient, and a simple regression analysis. The results of the research showed that: 1) all aspects of administration of the student assistant system using information technology were rated at the high level, 2) the overall aspects of student risk behaviors in schools were at the low level, 3) the relationship between administration of the student assistant system using information technology and student risk behaviors in schools showed a moderate negative correlation with statistical significance at the .05 level, and 4) the student assistant system using information technology affected student risk behaviors in schools with statistical significance at the .05 level. The prediction equation in raw score form was= 5.607 - .696**X and the prediction equation in standardized score was = -.302**. The result showed that these equations can predict that 9.10 percent of students will engage in risk behaviors in schools with statistical significance at the .05 level.
