The purpose of this study was to examine the perspective of M.6 students in Bangkok area and explore their media exposure knowledge and attitude to the Faculty of Mass Communication Technology of Rajamangala University of Technology Phra Nakhon. The relationship between students’ media exposure knowledge and attitude to the Faculty and the image of the Faculty was also studied. The research data was gathered through the questionnaire survey from 400 M.6 students in Bangkok area. The research result showed that: 1) The samples with different gender grade point average (GPA) household income and from different institutions had different media exposure. Those from different institutions had different knowledge about the Faculty and those with different gender and from different institutions had different attitude to the Faculty; however all samples did not have different image to the Faculty. 2) The media exposure was related to the knowledge about the Faculty. 3) The knowledge about the Faculty was related to the attitude to the Faculty. 4) The knowledge about the Faculty and the attitude to the Faculty were related to the image of the Faculty whereas Media exposure was not.

Advertisement and admission of target applicants who will be new undergraduate studentswill help to reduce costs promote or recruit off- campus as well. The decision tree Technique can be used to develop models to forecast numbers of new students in the classification rules for accuracy. It helps to decide on the form and place in admission of new students to meet the target even more. The seven models developed by using the rules of classification techniques decision trees were built and tested with different sampling methods: 3 models of k-fold cross-validation 3 models of percentage split and a model of training set and test set. The study result for forecasting new students via model developed by training set and test set method is higher performance than model developed by other methods. It was shown that the efficiency was 94% the precision was 94.3% the recall was 94% and the F-measure was 93.7%. Thus this model is accurate in forecasting numbers of new students using the classification rules with decision tree technique.

This research was a survey research. The objective was to study the factors of social adjustment of students of the Faculty of the Industrial Education Rajamangala University of Technology Phra Nakhon. The data analysis based on statistic data the average percentage standard deviation t-test and analysis of variance. The results can be summarized as follows: the factors of social adjustment of Industrial Education students are at the moderate level. The results of factor analysis are 1) Students with different genders and age have the overall indifferent social adjustment ability. 2) Students who graduated from different field of study have the overall different social adjustment ability . The students who graduated from vocational certificate program have the overall higher social adjustment ability than students who graduated from general education program. 3) Students with different years of birth and different family status in society have the overall indifferent social adjustment ability. 4) Students with their parents in different occupation and different average-income-per-month families have the indifferent overall social adjustment ability and 5) Students with different family characteristics have the overall different social adjustment ability.

A study on the motivation to participate in student development activities of the RMUTPs students was done with the objective to verify the level of the internal motivation (human relationship social service self - study for development and carrier path ) anf external motivations (location comfortable of travel a period of activites the content of activitiesinstructor and profit) and compare the differences of motivation rating scale base on personal factors : sexuallevel of studentfaculty GPA (grade point average) experience in participation and the information receiving. The study sample of 450 students was randomly selected from RMUTP. undergraduate students from 9 faculties.The data were collected by questionnaire (5 rating scales) and will be evaluated in frequency mean and standard deviation. T-test and one-way Anova used for comparing means at