This research aims 1) Study the achievements of online teaching in a new way normal of Faculty of Architecture and Design RMUTP 2) Design online teaching media in a new normal of Faculty of Architecture and Design RMUTP 3) Assessing the achievement of online teaching in a new normal of Faculty of Architecture and Design RMUTP from 62 third-year students in the furniture design course for teaching through online programs There is a method for conducting research by looking at each type of program information for online teaching interviewing and then analyzing it. to determine the appropriateness for use as an online teaching medium and the process of creating presentation media selected from 8 to 1 by interview form 3 Associate Dean for Academic Affairs and Research from the Faculty of Architecture and Design RMUTP and 62 students of online teaching achievements were assessed in a new normal with Rating Scale.The results showed that a Google Classroom and Google Meet is most suitable for teaching online. Classroom is available to anyone using Google Apps for Education a free suite of productivity tools including Gmail Docs Drive and more powered by Google Classroom Google Meet has the highest average (𝑥̅=5.00 SD=0.00) Comparing the pre-study test scores with the learning achievement scores of the sample group it was found that pre-test at 15.29 (48.92%) and post-test at 24.82 (80.33%) was satisfied of 62 the students of the Faculty of Architecture and Design RMUTP had a high level of satisfaction with the overall assessment the mean (𝑥̅=4.08 SD=0.50). The satisfaction with a high mean was the use of online learning media while the test mean (𝑥̅=4.40 SD=0.44) followed by online media and online learning. Furniture design subject mean (𝑥̅=4.17 SD=0.48) followed by learning achievement of online learning users mean (𝑥̅=3.92 SD=0.50) and followed by Use online media for lesson content. Furniture design subject average (𝑥̅=3.84 S.D.=0.58)

The surveillance and reports on accidents for the current traffic management are carried out by viewing and inspecting CCTV footage. This method is slow to detect incidents and requires a lot of manpower. Since nowadays communication technology and social media play a role in reporting such incidents this research has been conducted to investigate accidents of interest from text messages reported on social media in Thai. There is currently no research or platform that supports this type of work clearly. This research presented the development of a neuron network memory-learning model to solve the problem of incidence pattern classification and incidence severity identification from social media messages in Thai. Using deep learning models such as MLP CNN Bi-LSTM and LSTM+CNN the study was designed and divided into three experimental patterns. This included examining patterns to identify traffic incidents that may be reported as general news or traffic reporting; examining patterns to indicate the type of incidents such as traffic accidents disasters damaged roads or others other than those mentioned; and examining patterns to specify the severity levels of the incidents such as normal intermediate traffic lane blocking or immovable. The experiments demonstrated the capability of CNN+LSTM learning models with the best incidence detection result at 93.44 %. The CNN model gave the best result in identifying a pattern of incidence at 85.29 % and the LSTM model was best able to determine the severity levels of the incidence at 88.53 %.

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.

It is a must for Thai citizens in this digital era to be able to absorb internationalization skills to survive in the connected world. The study entitled The development of a 3D application for teaching English with integrated digital technology and practical training aims to develop a 3D application for integrated English teaching with digital technology and practical training. Academic literature about 3D application systems the achievability of problems and instructional system design frameworks were reviewed. Additionally in- depth interviews were conducted with 10 key informants using a snowballing technique. The informants were English-teaching experts teachers and social science students. The main findings from the in- depth interviews revealed that most participants did not use HMD VR to learn and practice English language skills while traditional styled teaching was used more often. There had not been much technology-integrated learning compared to language- related games and applications were used. Moreover VR was not applied much to English learning. Accordingly with the devices of Unity Oculus Blender and C# language the development of 3D applications for teaching English with practical training has been developed as an appropriate and optional tool for Thai students with an educational opportunity in English communicative skill practice in the virtual world and accessibility to the useful technology.

This Project ‘Thai Ikat Fabric Woman Working Suit from Sub-Ra-Wing Village’ aims for 1) to design the woman working suit that made from Sub-Ra-Wing Village’s fabric 2) to examine satisfaction of paticipants toward the designing processes of the woman suit according to 4 processes which are 1) the selection of Sub-Ra-Wing Village’s fabric that will mostly suit for the project 2) the process of design and selection woman working pattern 3) dressmaking and 4) examing the satisfaction of the viewers and paticipants toward the completed suit. Moreover the participant are 120 people aging 25-35 years old. The data was calculated by statistic percentage and mean as a result. The participants are; 87 people (72.50 percentages) are female. 85 people (70.80 percentages) are aging between 25 - 29 years old. 99 people (82.5 percentages) are undergraduated. 30 people (25.00 percentages) are students which equals to participants who have personal business. Lastly 55 people (45.80 percentages) are workers who have monthly income during 10001 - 20000 baht. The result of overall ‘Thai Ikat Fabric Woman Working Suit from Sub-Ra-Wing Village project ’ show that satisfaction at hight level (mean 4.46). Eaeh design it was found that. participants satisfaction to design 1 of coat and design 3 of shit and skirt at most level (mean 4.57 and 5.45 respectively). And design 2 of shirt and long pant design 4 of dress and design 5 of sweatpant. satisfaction at hight level (mean 4.47 4.41 and 4.32 respectively)