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 objectives of the study were to find the arrival rate of applicants who applied to study at Rajamangala 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 plication date 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 student/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 student/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 system107.40 student/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 0.97 0.95 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 student/hour and not less than 30 student/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/student for stations 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.

The main purpose of the study was to investigate the relation between demographic characteristics mass media exposure knowledge and sexual attitude of the students in Bangkok area. Question aires were used to collect data from a total of 400 samples. The result of the study was as followed: 1. The mass media exposure differs significantly among the sample groups of different sex university and income. 2. The sexual knowledge differs significantly among the sample groups of different sex and university. 3. The sexual attitude differs significantly among the sample groups of different sex university and income. 4. Mass media exposure does not correlate with the sexual knowledge. 5. The sexual knowledge correlates with the sexual attitude.

This research aims to study factors relating to and influencing students’ behavior of electricity Saving. The samples are students of Rajamangala University of Technology in 2007 academic year. Based on quota sampling 100 students from each of 9 universities at a total of 900 are selected. The tools used in this research include questionnaires and with rating scales. The variables are divided into 5 group : 1) Psychological traits variables; 2) situational variables; 3) psychological situtional variables; 4) electricity saving behavior variables; and 5) the general qualifications of students including sexes educational levels location GPA family income the number of family members educational level of father and educational level of mother all of which are the sub-variables in analyzing data. The data was collected during January and May 2007. Then it was analyzed by a ready-to-use program with statistecs percentage t-test Person’s Product Moment Correlation Coefficient and Multiple Regression Analysis of Enter Stepwise and Hierarchical.

The purpose of this research is to study and compare several factors which can influence how first year students make their decisions to study in Rajamangala University of Technology Phra Nakhon. The samples were about 370 students which were collected by Quota Sampling. Questionnaires were used as a research tool to collect data. The data were analyzed by percentage arithmetic mean standard deviation t-test F-test and LSD. This research found that 1. Most of students are female and have graduated from high school with GPA of 3.09. They study in the faculty of business administration. Their hometown is in Bangkok and perimeter. Their parents are business owner and have average income about 21950.88 bath per month. They spend money about 148.66 bath per day. 2. Mostly the students have decided to study in Rajamangala University of Technology Phra Nakhon by themselves and have chosen not to apply in other universities. In addition they have known about admission from the internet. 3. The universitys reputation is a main factor that students use to consider in order to study in Rajamangala University of Technology Phra Nakhon. Other factors that have less influence are curriculum students requirement lecturer universitys administration financial support transportation location and environment respectively. Almost all of factors have high average score; however locational and environmental factors have moderate average score. 4. This research comparatively concludes that different factors have influenced students to enroll in Rajamangala University of Technology Phra Nakhon in many different levels with statistical significance at 0.05 level. 5. The students with different genders GPA education backgrounds howntowns parents income and daily expense have various levels of factor that affects students decision making for enrollment with no statistical significance at 0.05 level. 6. The students with different faculties and alternatives to apply in other universities have different levels of factor that affects their decision to enroll in Rajamangala University of Technology Phra Nakhon with statistical significance at 0.05 level.