The study of drought factors to analyze and manage water is very important. The main contributing factor to drought is unusual summer weather wind pressure and air mixtures include water vapor and water droplets. In this factors can be analyzed for rainfall in the lower central river basin area and the preliminary data of the research used to analyze drought from Thai Meteorological Department (TMD). This research analyzes the factors that cause drought including rainfall temperature pressure wind and precipitation. The Multiple linear regression analysis used to determine the relationship of factors causing drought. It was found that rainfall had a statistically significant relationship with temperature and pressure. In addition using the Geographic Information System (GIS) an analysis of rainfall in the lower central river basin from October 1920 to September 2021 to found that from August to October there is a lot of heavy rainfall according to the multiple linear regression equation. Therefore the created multiple linear regression equations can be effectively used in the analysis of drought areas in the lower central river basin area.

The purpose of this research was to study the behavior of students of Rajamangala University of Technology Phra Nakhon in receiving information via online media. The sample consisted of 390 undergraduate students of Rajamangala University of Technology Phra Nakhon in the academic year 2021 by accidental sampling. The research instrument was an online questionnaire. The statistics used to analyze the data were percentage mean and standard deviation. The results of the study on the behavior of students using online media for information exposure revealed that most of the students used their smart phones to receive information via online media for more than 4 hours on average every day. The behavior of receiving information via online media of students found that the type of online media that students used the most is Line followed by Messenger and YouTube. The purposes of the most exposure to online information are for communication and/or conversation followed by follow-up on current interesting events and for work channels such as online shopping and financial investments etc. The forms of information that most exposed to online media are entertainment followed by general knowledge and news. The content received from online media the most is movies dramas followed by songs lyrics melodies and currently interesting issues.

This research aims to for the development of an automated message response system using the LINE bot program for supporting information technology work. For supporting the reporting of computer problems the Internet the use of audiovisual equipment within the Faculty of Business Administration. Including basic troubleshooting for users. The results showed that developing an automated message response system using the LINE bot program. For IT support the use of Line Bot by using Line to report problems enables better interaction between users and device administrators. Allows users to be aware of basic solutions. Which is also a convenient and quick way to report problems save cost because within the area of the Faculty of Business Administration Rajamangala University of Technology Phra Nakhon has full internet service that the lecturer and staff can connect internet at all times.

This research has the objectives for studying the information and communication technology (ICT) usage of university students and relationships between factors of information and communication technology (ICT) usage those affecting the digital university policy of Rajamangala University of Technology Phra Nakhon. Samples are students who are studying bachelor degree in 9 faculties at Rajamangala University of Technology Phra Nakhon and are systematically randomed from the population of 11899 at 95% confidential level with the sample size of 387 from the calculation. Questionnaires about the information and communication technology usage of the students related with the Digital University policy have been used in this research. Descriptive statistics used in this research are Frequency Percentage Means (𝑥𝑥̅) and Standard Deviations. Referential statistics used are t-test Independent and One-Way Analysis of Variance. The research found that different personal factors including genders ages classes and faculties did not vary the opinions of the students about their planned behaviors. Different personal factors including genders ages classes and faculties did not vary their opinions about the intention of information and communication technology usages. Different personal factors including genders ages classes and faculties did not vary their opinions about the information and communication technology usage behaviors. Different personal factors including genders ages classes and faculties did not vary their opinions about the Digital University policy. Opinions about the planned behaviors are positively related in low level to the opinions about the intention of information and communication technology usages statistically significant at the .01 level. Opinions about the intention of information and communication technology usages are positively related in moderate level to the opinions about the information and communication technology usage behaviors statistically significant at the .01 level. Finally opinions about the information and communication technology usage behaviors are positively related in low level to the opinions about the Digital University policy statistically significant at the .01 level.

This research is aimed to propose an ontology-based framework for generating multiple-choice questions that can evaluate students’ knowledge in the analytical level. The questions generated from this framework could encourage students to apply relative concepts from the lesson they learn to produce different paradigms for solving the same problem. The experiment of this research demonstrates an implementation of the framework. A structure of a question set from the framework comprises a problem and an initial solution in the question phrase and multiple choices including one correct choice and three distractors. The experimental results show effectiveness of the questions constructed based on this framework in terms of distractors that can reveal students’ misconceptions. Also difficulty and discrimination indices – P-scores and D-scores used in the experiment show that in a range of difficulty the generated questions can reveal strength and weaknesses of students in the groups of high and low learning performance. Eventually this research suggests how the proposed framework could be used as a foundation for automatically generating questions in a knowledge-evaluation system.