The purposes of this research were to Design for Furniture Woven from Sedge Paeng Group Sub District Paeng Amphoe Kosum Phisai Mahasarakham. Sample group in research is foreign tourists 50 people and Local people 50 people. Wants to buy processed of products processed Furniture Woven from Sedge Paeng Group Sub District Paeng Amphoe Kosum Phisai Mahasarakham. Tool used in research is a questionnaire want side different of the target audience have confidence equal to .964 statistical analysis was performed by percentage. Average mode and questionnaire to evaluate satisfaction in the field of use and in marketing processed products from Furniture Woven from Sedge Paeng in the process evaluation choice and in the evaluation process compare with the original souvenirs by the questionnaire 2 copies have confidence equal to .830 and .784 respectively. Statistical analysis was performed by means of percentage mean and test the hypothesis with the t-test statistic type Dependent Sample. The research concludes that. 1. The processed product design for furniture woven from reeds method 1 suitable for buying relatives brethren. Method 2 Method 3 suitable for buying boss adults and Method 2 suitable for buying in the family. 2. Select target group the processed product design for furniture woven from reeds in method 3. 3. The target group is satisfied in processed products design for furniture woven from reeds the new model is more than the original model on all sides. Statistically significant at the .05 level vendors are more satisfied than the original model in almost every aspect and processed products design for furniture woven from reeds powerful new applications rather than processed products woven from reeds original.

Nowadays it is rapid technology advancement. The faculty of engineering Rajamangala University of Technology Phra Nakhon needs to update the bachelor degree programs and produces graduates that meet the requirements of the target markets. Work integrated learning education is one of the most effective education that is suitable for this situation and the future. This research is a study of faculty of engineering’s strategy base on work integrated learning for professional graduate production. The research results acknowledge the work integrated learning education type that is implemented in the faculty of engineering Rajamangala University of Technology Phra Nakhon. In addition the results can be applied to the modification of the engineering curriculum or the new engineering curriculum design.

The purposes of this research were : 1) the satisfaction of the training course of carved flowers and banana leaves and 2) the relationship between personal satisfaction in training courses of carved flowers and banana leaves. The samples the participants enrolled courses and spent about 80 hours in the Vocational Training Center Bangkok 10 300 engines used in the questionnaire. The statistics used for data analysis were frequency percentage mean standard deviation and the Chi-Square data were analyzed using a computer program. The results showed that: 1) Satisfaction of the participants in the training courses of study and work carved banana flower overall and participants were satisfied. The high level was the first two items in order from most to least find that the side with the highest average was the instructor and They followed by the courses and subjects offered. The resources were for teaching and the average minimum was the educating and the environment. and 2) The relationship between the individual factors of the respondents were satisfied with the training course of carved flowers and banana leaves. The results showed that age education occupation income up to a month. The correlation between the gender status source of admission and choose a date range no relationship. The statistical significance level. 05.

The purposes of this research were: 1) to study personal factors knowledge of selfemployed in Home Economics and reasons for decision making of self-employed in Home Economics 2 ) to study the relationship between personal factors and decision making of self-employed in Home Economics and 3) to study the relationship between knowledge of self-employed in Home Economics and decision making of self-employed in Home Economics. The sample group was 196 of the 4th year undergraduate students Faculty of Home Economics Technology Rajamangala University of Technology Phra Nakhon who decided to work as self-employed person. The instrument used in the study was a questionnaire. The percentage mean standard deviation and Chi-Square values were used for statistical analysis. The results showed that: 1) most of the sample was female (72.45%) and more than a half of the sample studying in Department of Foods and Nutrition (52.55%) their cumulative GPA were between 3.01-3.50 (40.31%) followed by 2.51-3.00 (31.63%). For family information (64.80%) of their parents were entrepreneurs or self–employed the average monthly income of more than 35001 baht per family (34.18%) followed by 15001-25000 baht (30.61%) for the knowledge of self-employed in Home Economics in the overall was at a high level ( = 3.78 S.D.=0.69). Types of self-employed in Home Economics selected the most was production (50.00%) followed by distribution (26.53%) and services (23.47%). The reasons for choosing self-employed in Home Economics were freedom of work (37.25%) having to use knowledge aptitude and proficiency in work (23.47%) and having a good opportunity to being successful in work (12.25%) the expectation to have an average monthly income was between 25001-35000 baht (56.63%). 2) the relationship between personal factors and the decision making of selfemployed in Home Economics including gender field of study cumulative (GPA) parents’ occupation the average monthly of family income and work experience during study found that there was statistical significance at the level of .05 except the family self-employed. and 3) the relationship between knowledge of self-employed in Home Economics and the decision making of self-employed in Home Economics found that there was statistical significance at the level of .05

The purposes of this research were : 1) to study the personal factors in lower secondary students’ decisions to study in the career Department at the Demonstration School of Ramkhamhaeng University 2) to education study in lower secondary students’ decisions to study in the career Department at the Demonstration School of Ramkhamhaeng University and 3) to individual factors affecting in lower secondary students’ decisions to study in the career Department at the Demonstration School of Ramkhamhaeng University. The population students are studying in lower secondary students’ decisions to study in the career Department at the Demonstration School of Ramkhamhaeng University of 267. The instruments used in research questionnaires and interviews. The statistics used for data analysis were frequency percentage mean standard deviation t-test and One Way ANOVA. The research found that as follows: 1) Most students were male 14 years of age by studying in lower secondary students’3/7 they have a cumulated GPA of 3:01 to 3:50 by living with his father - his mother and the aptitude of most business plans. 2) The factor in choosing in lower secondary students’ decisions to study in the career Department at the Demonstration School of Ramkhamhaeng University overall students in grade 3 with comments in agree. The first two items in order from most to least found that the side with the highest mean score the reputation of the school. The second was the instructor and minimum course content. And 3) individual factors were affecting in lower secondary students’ decisions to study in the career Department at the Demonstration School of Ramkhamhaeng University found that students with gender age year of study. The GPA and the Professional and the aptitude different affect students were learning plans and career groups school not different. Except for students with different shelters affect student learning plans and the career Department at the Demonstration School of Ramkhamhaeng University difference was statistically significant at the .05 level.