This research suggests an add-on working compatibly with Google Forms to construct multiple-choice questions (MCQs). This add-on comprises two main components including software for constructing MCQs and a data storage for collecting data used to compose MCQs. I demonstrated effectiveness of the add-on by applying it in the context of repetition online learning in which students could learn relearn and take an exam of which MCQs generated by the add-on. At the last step of this research I suggest using a sentiment analysis method – based on natural language processing and machine learning to find environmental factors and teaching strategies suitable for the repetition online learning.

The research objective was to study the market mix factors (7Ps) that affect the decision to use the domestic airline service of Thai passengers at Suvarnabhumi Airport. The population used in the study was Thai passengers that used four domestic airlines at Suvarnabhumi Airport namely Thai Airways Thai Smile Airways Bangkok Airways and Vietjet Airlines. The sample number was 100 passengers per airline or a total of 400 people. The statistics used in the data analysis were percentage mean standard deviation mean difference analysis (One-way ANOVA) and multiple regression analysis. The study results found that most of the passengers who used domestic airlines focused on the overall marketing mix factor (7Ps) at Very Important level. That affected the overall decision to choose the domestic airline service at Very Important level. The hypothesis testing revealed that the different demographic factors in terms of gender age status educational level and average monthly income affected the selection of domestic airlines differently. Marketing mix factors (7Ps) on products physical evidence and process affected the selection of domestic airlines at a statistically significant level of 0.05.

The objectives of this study were 1 ) to investigate the marketing mix factors influencing sukiyaki consumption among the elderly in Bangkok 2) to explore the consumer behavior of the elderly in sukiyaki consumption and 3 ) to study the relationship between marketing mix factors and the behavior of the elderly in sukiyaki consumption in Bangkok. The sample was 400 elderly people aged 6 0 years and over who living in Bangkok and consumed sukiyaki as food. A questionnaire was used as a research instrument. Statistics used in data analysis were frequency percentage mean standard deviation and hypothesis testing using Chi-Square. The results found that 1) overall opinion of the sample group was at a high level in terms of opinion on service staffs distribution channels product price service process and physical environment except for marketing promotion there was at moderate opinion. 2) In terms of sukiyaki consumption behavior the most popular ingredients in sukiyaki were fresh vegetables meat and meat products noodles and starchy foods eggs and mushrooms. The sample group liked to consume in sukiyaki restaurants. The reasons for sukiyaki consumption were the taste quality freshness various menus and the price of the food was reasonable with the quantity and quality. The frequency of consuming sukiyaki was less than once a month followed by once a month. The average food cost was between 201-300 bath per person. Most sukiyaki consumption time was on weekends between 13.01-16.00. Most of the consumption consisted of family members and the number of people eating was 4 or more. 3) Marketing mix factors included product factors price distribution channels marketing promotion service staffs service process and the physical environment found to be related to Suki food consumption behavior in terms of the reason for consumption the frequencies used in food consumption per month the average consumption cost per time per person and the time spent in food intake with statistical significance at the .05 level.

This independent research Intended to 1) Study of demographic characteristics that effect to make to order online food inner Bangkok metropolitan 2) Factors of 4Cs Marketing Mix that effect to make to order online food inner bangkok metropolitan Using 400 questionnaires This research studied the majority of my respondents who were female and female partners between 31-40 years of age education bachelors degree occupation employee or official / state enterprise monthly income 10001 - 15000 baht living in a dormitory / condo food-based category. The most popular order is Holy Basil Fried Rice. There is a frequency to buy at 1 box the price less than 50 baht per time. Most of them are popular to buy during the period (11.31 - 15.00) from the statistical significance test. -test at a 95% confidence level the results of the study revealed that indirect characteristics of education occupation income and housing characteristics influence food type over time and purchase price marketing mix. Both the needs of the service provider the payer department the convenience the media communication and the media journey have an effect on the quantity type of food and the lead time. The payers a la carte meals are popular for their convenience with on-time delivery services for reasonable prices quality and food needs New fresh clean hygienic respectively

The objectives of this research are: (1) to study the demographic factors that influence decision making in buying home appliances through the Shopee application of generation X (2) to study how the marketing mix such as product price place promotion influences the buying decision of home appliances through Shopee application of generation X. The 400 samples were drawn from 10 districts in Ratchaburi province using the convenient sampling method statistics analysis done under 95 percent confidence interval with significant level 0.05. The results show that: (1) demographic factors like gender age and income affected consumer buying. Education and occupation did not affect the consumers’ buying decisions. (2) Product price place promotion affected the buying decisions of home appliances through the Shopee application of generation X in Ratchaburi province. The Regression Analysis using R2 was applied to determine the relationship between marketing mix and problem recognition information findings alternative assessment consumer decision making and reaction after buying. The R2 are 0.62 0.53 0.59 0.58 and 0.62 respectively. The consumer problem recognition and response after buying are higher in the relationship of R2. In conclusion the consumer buying decisions of home appliances through the Shopee application are related to the marketing mix problem recognition and the reaction after buying.