The study entitled “Education 4.0: An Evaluation of Students’ Attitudes towards Using Mobile Applications for English Language Learning” a mixed-method research aims to find out what are the students’ attitudes towards the use of mobile assisted in language learning what factors result in the acceptance and the use of mobile applications for English language learning and what are the application features responding to the students’ needs. The participants in this study were selected based on the convenience sampling method. They were undergraduate students studying at the tertiary level from the first-year to the fourth-year in the Faculty of Liberal Arts Rajamangala University of Technology Phra Nakhon in the academic year of 2020. The total number of participants was 131 university students. The research instruments used for data collection was questionnaire which can be divided into four parts as follows: Part 1 general information Part 2 mobile applications used for English language learning Part 3 factors affecting the acceptance and the use of mobile applications for English language learning and Part 4 open-ended questions for additional information and suggestions so as to develop the features of mobile assisted in English language learning responding to the students’ needs. The data obtained from the questionnaire were divided into two types. The quantitative data such as the scores from 4-point Likert scale were analyzed by using descriptive statistics for example frequency percentage mean and standard deviation. In addition to the qualitative data the students’ written opinions were analyzed by using textual analysis word clouds and sentiment analysis of users’ attitudes towards the use of mobile applications for English language learning. Most participants in this study were female university students whose age ranged from 18 to 22 years old. These participants filled in the four rating scale questionnaire: 4 strongly agree 3 agree 2 disagree and 1 strongly disagree to report their attitudes towards the use of mobile applications for English language learning. The results of the study showed that most participants frequently used Youtube and Facebook to develop their vocabulary. The individual factors such as gender age and English language proficiency were not correlated with the acceptance and the use of mobile application for English language learning. The participants also reported that they strongly agreed on the performance expectancy and the perceived usefulness with a low to moderate correlation in each factor. According to the descriptive analysis and textual analysis the results reported that these university students showed positive attitudes towards the use of mobile applications for English language learning because it was easy fast and could access information quickly. One possible explanation for this was their age group. These participants were the members of generation Z who were born with innate digital literacy and the advancement of technology. They were also familiar with social media. However one of the limitations in the study was data analysis since the results of sentimental analysis and textual analysis might be influenced by word segmentation approach. For the content of English the differences between general English and English for Specific Purposes did not result in any decisions on using the mobile application for English language learning.

This research aims to study the demographic characteristics affecting the decision to buy home furniture through mobile applications for Gen Y consumers and study the marketing mix 7 P’s and digital marketing model that affect the decision to buy home furniture through mobile application of Gen Y consumers. The population used in this research is population born between 1980 and 1997 are now between 24-41 years old live in Bangkok amount of 1453477 people the data were collected from 400 samples. The sample size was calculated following the Taro Yamane method.The descriptive statistics used were frequency percentage mean standard deviation (SD) and Inference statistical such as the difference analysis of the mean of the 2 sample groups (Independent Sample T-test) difference analysis for sample mean of more than 2 groups by one-way analysis of variance (One-Way ANOVA) and multiple regression analysis (Multiple Regression). The research results indicated that 1) the demographic characteristics such as gender and age had no impact on the overall decision-making to buy home furniture through mobile application of Gen Y consumers. In contrast marital status level of education career and income had an overall effect on the decision to buy home furniture through mobile applications for Gen Y consumers 2) Furthermore the marketing mix 7 P’s consisting of product price promotion process physica presentation and digital model on the overall effect the decision-making to buy home furniture through mobile applications. Moreover digital marketing model content marketing website creation assisted marketing e-mail marketing and online marketing impact the decision-making of buying home furniture through a mobile application. It was recommended that since the marketing mix especially product price and promotion affected the overall decision-making of buying product. Therefore if home furnitures are sold through mobile application content marketing must be developed at the highest level followed by social media marketing and email marketing had the most negligible positive impact on the overall buying decision-making and every factors

The objectives of The Prototype of Mobile Application on Professional Technical Terms for University Students of Faculty of Business Administration Rajamangala University of Technology Phra Nakorn were as follows: 1) to design prototype of of Mobile Application on Professional Technical Terms for University Students of Faculty of Business Administration Rajamangala University of Technology Phra Nakorn and 2) to assess teachers and students’ expectations and satisfaction towards the Prototype of Mobile Application on Professional Technical Terms for University Students of Faculty of Business Administration Rajamangala University of Technology Phra Nakorn The random sample consisted of 50 teachers and students. The tool used in this research was a questionnaire. The data were analyzed by a percentage means and standard deviation. . The research details were as follows: General data – there were 50 total respondents (100%). The majority were female (54%) and 60% of respondents were in the 20-24 year-old range 40% education level from a Bachelor of Business Administration and 30% of Accounting Major Samples expectations and satisfaction– the level of expectations was high at X = 4.71 S.D.= 0.42 and the level of satisfaction was similar at X =4.67 S.D.= 0.47 From expectation and satisfaction it was found that there was the highest level of expectation and satisfaction. It can therefore be concluded that this research has achieved the objectives.

This project aim to develop mobile application of activity notification and queue management. The aim of this project is to alert the patient’s activities via mobile devices. Caregiver can create activities to the patient’s mobile device. Also booking a queue in advance via mobile device before seeing doctors. There are no need to book a queue at the hospital. The patients’ medical records are collected via mobile devices which will reduce the time to collect data and data loss problems. The results of performance evaluations on mobile application of activity notification and queue management showed the overall average satisfaction score was 4.63 with a very satisfied level. It can be concluded that mobile application of activity notification and queue management can be used effectively.

This project aims to create the model of fire protection system for the kitchen. The model installed of protection and notification systems was created by using the Google SketchUp program with a ratio of 1:10 from the real kitchen scale. According to the literature it was found that more than 50 % of the fire within the shelter occurred in a kitchen. The main causes are flame heat sparks and electrical equipment. The system was developed to detect flame gas and smoke by using infrared sensor (IR FLAME) and gas detection device (MQ-2). Arduino MEGA2560 is a central processor to control the device of the protection system. Node MCU is a data receiver with Arduino to display the average amount of gas flame through the Blynk application in real time and send notification via the Line application when the amount of either flame gas or smoke is greater than or equal to the specified quantity. Fire protection system is divided into 3 conditions: fire gas and smoke. In case of fire the sprinkler will be activated with class K extinguishers to extinguish fire. In gas leakage conditions ventilator will be activated to ventilate the gas leaks and the gas supply is cut off. For smoke condition the ventilator will be activated to ventilate the smoke out of the kitchen. The results of the experiment by using the method of dividing into 13 simulations in total. The system can detect the flame with 12 points 92% from 13 points. In case of gas a can of gas was used in all tests. Nine points of gas can detect with 69% of the total 13 points. The smoke detector can capture smoke with a large amount of smoke. There are a total of 13 tests that can capture 11 smoke points representing 84% of all 13 points.