จำนวน Repository ( 287 )

An evaluation of  The Teaching Behavior in Statistical  Analysis in Business (02-311-113) of Faculty of Science and Technology Rajamangala University of Technology Phra Nakhon.
An evaluation of The Teaching Behavior in Statistical Analysis in Business (02-311-113) of Faculty of Science and Technology Rajamangala University of Technology Phra Nakhon.

The purpose of this study was to evaluate the subject of Statistical Analysis in Business(02-311-133) in the curriculum of the Faculty of Science and Technology Rajamangala University of Technology Phra Nakhon. The following aspects were studied : the appropriate objective outline content of the curriculum methods of teaching and learning instructors students teaching aids materials classrooms evaluations of the curriculum and achievements of the students who had studied this subject. The sampling group of this study was comprised of 6 instructors who taught a course in Statistical Analysis in Business 324 students who had studied the course and 76 students who had graduated. The research tools were a questionnaire and an interview. The statistics used in data analysis were percentage arithmetic mean (X) and standard deviation (SD.). The Results ofthe study were that 33.33 % of the instructors had experiences in teaching more than 10 years but had conducted fewer researches; the objective outline and content of the curriculum were appropriate and applicable; the teaching aids did not work properly because of no good maintenance; in teaching and learning no activities and fewer group works were assigned to students to practice; the evaluations of the curriculum should not have various forms; there were less of students achievements in synthesizing problems and applying their knowledge to solve problems.

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Spending behavior of student in Rajamangala University of Technology Phra Nakhon
Spending behavior of student in Rajamangala University of Technology Phra Nakhon

The purpose of this study was to study and compare spending behavior of undergraduate of Rajamangala University of Technology Phra Nakhon in 4 aspects : the food expense transportation expense health care expense and entertainment expense. The undergraduates were classified by gender academic years faculties income income source extra income and extra income source. The samples in this research were 432 undergraduates. The study participates selected by stratified random sampling. The 48 item questionnaires of rating scales was used as the research instrument. Percentage mean. standard deviation. t -test for independent sample F -test and LSD analysis were statistical method to analyze data. The results were as follows: 1. The undergraduates Spending Behavior all aspects were in moderate levels that the food expense was the highest health care expense and transportation expense was the lowest. 2. There was Significant difference for undergraduates spending behavior in health care expense entertainment expense and all aspects at the 0.05 level among students in different gender and academic years. 3. There was significant difference for undergraduates spending behavior in food expense health care expense entertainment expense and all aspects at the 0.05 level among students in different faculty. 4. There was Significant difference for undergraduates spending behavior in food expense and all aspects at the 0.05 level am<;mg students in different income and extra income. There was significant difference for undergraduates spending behavior in food expense transportation expense entertainment expense and all aspects at the 0.05 level among students in different income and extra income.

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A study of obtained knowledge using from physics I for engineers for daily life application of undergraduate student at Rajamangala University of Technology Phra Nakhon
A study of obtained knowledge using from physics I for engineers for daily life application of undergraduate student at Rajamangala University of Technology Phra Nakhon

The purpose of this study was to investigate obtained knowledge using from Physics I for Engineers for daily life application of undergraduate student from faculty of engineering Rajamangala University of Technology Phra Nakorn. Sample was 316 students which taken from four engineering majors; computer electrical industrial and mechanical engineering. A questionnaire a four point scale was used as testing tool. The statistical analyses were performed in mean standard deviation and one way analysis of variance. The results revealed that students used their obtained knowledge in moderate level (3.10). Students in each programs showed significantly different used their obtained knowledge at 0.05 level. Electrical engineering students (3.27) showed highest number of the course content using follow by mechanical engineering (3.09) computer engineering (3.07) and industrial engineering (2.75) respectively.

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Variables affecting to learning achievement in Bio-organic chemistry of  students on Rajamangala University of Technology Phra Nakhon
Variables affecting to learning achievement in Bio-organic chemistry of students on Rajamangala University of Technology Phra Nakhon

The purposes of this research were to study of Variables Affecting to Learning Achievement in Bio-organic chemistry and construct the prediction equation models ofstudents Bio-organic chemistry Leaming Achievement in Rajamangala University of Technology Phra Nakhon(RMUTP). The sample consisted of60 students ofRMUTP Sampling by Quota Sampling method. The instnunents used in this research were the questionnaire of 5-rated rating scales of those II categories. The reliability of the questionnaire was that the Bio-organic chemistry attitude 0.688 Achievement motivation in Bio-organic chemistry 0.766 Students learning behavior 0.742 Attitude towards University 0.80 I Personality ofchemistry teacher 0.851 Teaching behavior ofchemistry teacher 0.869 Parents support 0.796 University surrounding 0.719 Facilities of University 0.834 with the total average of 0.911 and the test of 4 choices Bio-organic chemistry Learning Achievement consisted of 50 items. The level ofdifficulty was between 0.27 -0.53 the power ofdiscrimination was between 0.35 -0.69 The reliability was 0.79 .The data were analyzed through statistical techniques of percentage mean standard deviation and multiple regression. The results were as follows: The Variables Affecting on students Bio-organic chemistry Learning Achievement at .05 level of significant were the Bio-organic chemistry attitude(xl) Achievement motivation in Bio-organic chemistry (-2) predicted at the rate of 15.50 Percent The raw score prediction equation was : A Y = 9.493 + 2.202 Xl + 0.730 X2 The standard score prediction equation was : A Zy = 0.380 ZXI + 0.123 Zx2

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An application of Bayesian Models for risk of withdrawal from calculus 2 for engineers of students at Faculty of Engineering, Rajamangala University of Technology Pra Nakorn, North Bangkok Campus
An application of Bayesian Models for risk of withdrawal from calculus 2 for engineers of students at Faculty of Engineering, Rajamangala University of Technology Pra Nakorn, North Bangkok Campus

The objectives of this research are: to study the characteristics of students in the Faculty of Engineering at Rajamangala University of Technology Pra Nakorn North Bangkok Campus that influence to the risk of withdrawal from Calculus 2 for Engineers; to predict the risk of withdrawal from Calculus 2 for Engineers; and to use the results of the study for planning and solving the problems of withdrawal from Calculus 2 for Engineers. The sample is 226 students in the Faculty of Engineering at Rajamangala University of Technology who enrolled the Calculus 2 for engineers in the second semester of the academic year 2009. The data are from the questionnaire. The factors considered are grad point average the number of enrollments for the Calculus 1 for engineers Calculus 1 for Engineers grade the number of courses that emphasize on calculation that were enrolled in the second semester of the academic year 2009 the sacrifices of students for the Calculus 2 for Engineers course and the need to withdraw from Calculus 2 for Engineers course before other courses. The logistic regression model in which the parameters are estimated by using Bayesian methods is used for analyzing the data. The study shows that the factors that influence to the risk of withdrawal from the Calculus 2 for Engineers are grade point average Calculus 1 for Engineers grade the number of courses that emphasize on calculation that were enrolled in the second semester of the academic year 2009 and the sacrifices of students for the Calculus 2 for Engineers and the need to withdraw from Calculus 2 for Engineers before other courses. The factor that does not influence to the risk of withdrawal from the Calculus 2 for Engineers is the number of enrollments for the Calculus 1 for Engineers.

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