The purposes of this research were to study the learning styles affecting learning achievement of students on Rajamangala University of Technology Phra Nakhon The sample consisted of 257 the fourth year students of the faculty of Liberal Arts Mass Communication Technology Textile Industry and Fashion Design Home Economics Technology and Architecture and Design in the first semester of 2007 academie year the instrument uesd for collecting data was the 5 rating scales -questionnaire on learning styles. The questionnaires consisted of 6 learning styles classified by Reichman and Grasha : Independent Dependent Avoidance Collaborative Participant and Competitive consisted of 60 items. The reliability was 0.85. The data were analyzed by using the computer program SPSS for window. The statistics analysis includes a -coefficients percentage mean and standard deviation The results were as follows : 1. Most students occupied collaborative and participant learning styles then independent dependent avoidance and competitive respectively. 2. The competitive and collaborative affecting learning achievement were significantly different at P<05. The competitive learning style has the negative affecting towards learning achievement. The Collaborative learning style has the positive affecting towards learning achievement. 3. The equation used for predicting learning achievement is Y = 2.697 -0.118 X6 +0.158 Xs

The article is aimed to study of outcome on student loan and study motive background (gender provinces amount of siblings parent education parent career family Measurement and method are studied from documents and questionnaire. The result show that student loan administration fix toohigh families income of students. 2) lack of the ckecklists in allocation. 3) lack to the payment back to student loan. 4) lack of the follow-up and evaluation The satisfaction of higher education students on student loan according to gender provinces amount of siblings parent career family income is not significantly different except parent education is significantly different at 0.01.

The objectives of this research are to study the types of lacking the virtue of honesty in students’ learning and factors relating to the lack the Virtue of Honestry in Students’ Learning. The population is 389 students from a faculty in a university. The research tool is questionnaire. Percentage and chi-square which are used for analyzing data. The results revealed that most of the students copied others’ assignments cheated at a test cheated when doing reports and make-up data respectively. It was found that there was a significant difference at he study of relation among variable revealed there was a significant difference at .01 level between individual factors: years of study GPA attitude perception and attention and the lack of the virtue of honesty in students learning.

The study of the Knowledge and Participation in Saving Electric Energy of Students and Staffs at Rajamangala University of Technologh Phra Nakhon aimed to find out and compare the level of knowledge and participation in electric energy saving. The population consisted of 865 subjects. The questionairs are desiged for rating five scales check. The reference statistics for data analysis included frequency percentage arithematic mean standard deviation t-test and one way anova respectively.

The objectives of the study were to find the arrival rate of applicants who applied to study at Rajamangala university of Technology Pra Nakhon North Bangkok Campus the service rate of admission officers and to analyze queuing system in order to improve the admission system. The sample was 1722 technical students who applied to study in 10 divisions in 2007 and 2008. The application data was collected every 10 minutes in each one-hour period from 09.00 am. to 16.00 pm. for 6 days. The study found that the distribution of the number of applicants was Poisson distribution. The highest arrival rate 1.29 students/min was at the second period and the lowest arrival rate 0.06 students/min was at the sixth period. The distribution of service time at each station was exponential distribution. The highest service rate 0.67 min/student or 1.49 students/min was at the second station entering data into a computer. Queuing analysis in this study was series network. The analysis found that the highest expected number of applicants in the system 150 students/hour was at the first station in the second period and in the sixth period there was almost none. The highest expected number of applicants in the queuing system 107.40 students/hour was at the first station in the second period. The highest expected waiting time in the system 1.92 min/student and in the queuing system 1.37 min/student were at the first station. The probabilities of none of applicants in the system at the first the second and the third station in the sixth period were high 0.970.95 and 0.98 respectively. The proper value of the expected number of applicants in the system set in this study was not more than 60 students/hour and not less than 30 students/hour. The proper value of the waiting time in the system was not more than 1 min/student and not less than 0.5 min/students for stations with more than one servers. The analysis found that at the first station one more server should be added in the second the third and the forth period and one less server should be reduced in the sixth period.