Journal of Computer and Creative Technology

Ability for Mathematical Problems-Solving by Think-Pair-Share Technique of Grade, 4 Students

Nuchidapon Sirikhun — 2024-09-06

This research aims to study the ability for mathematical problem-solving by Think-Pair-Share technique of grade, 4 students at Municipal School, 5 in Siharakwittaya, Udon Thani Province in this study. The instruments used for data collection were learning management plans, academic achievement tests, ability for mathematical problem-solving tests, and responsibility tests leading to data analysis using mean, standard deviation, and t-test. The results found that the ability for mathematical problem-solving and academic achievement of students was higher than the 70% criteria with statistical significance at the .05 level. The ability for mathematical problem-solving after learning management was high-level accounting for 55.19%, moderate-level accounting for 41.31%, and low-level accounting for 3.44%, respectively. The responsibility after learning management is at the highest level.

Activities Calendar System in Faculty of Interdisciplinary, Khon Kaen University

Kanda Sorn-in — 2024-10-10

Public relations operations, news, and various activities in the Faculty of Interdisciplinary, Khon Kaen University in the past, there was still a lack of a main channel for publicizing the faculty's and department's central activities, which resulted in a small number of participants and an ongoing impact on the organization of the event. This research aims to design and develop of activities calendar system in the form of a web application, by applying the DevOps software development approach, consisting of steps for studying and analyzing problems, designing and developing systems, system testing, system delivery, and satisfaction evaluation of use in student and teacher development groups. However, the system includes the event calendar function, and event details, advance notification, announcement management, adding, deleting, editing events, event registration, sharing event links, attendee reporting, attendee statistics, and certificate issuance. Satisfaction with the use of the display screen was at a high level, and usability was at the highest level.

Analyze the Chonburi Provincial Tourism Authority using Data Mining Methods

Akaradech Dulsang — 2024-10-11

Chonburi province has a variety of tourist attractions that make some tourists unable to decide which tourist attractions to choose that meet their needs. This research aims to analyze the behavior and factors affecting the decision-making of tourism in Chonburi Province by data mining methods to create a model for recommending tourist attractions from data collection using questionnaires with 120 samples of local tourists. Data analysis using four data mining techniques including Naïve Bayes, Decision Tree, K-Nearest Neighbors, and Multi-Layer Perceptron. In this regard, the study findings on factors that have a high influence on the decision to choose a tourist destination include nature preference, relaxation, and convenience of travel on the framework for developing and creating applications or platforms to recommend tourist attractions that are consistent with and meet the needs of future tourists effectively.

Effects of Using Applications to Thai Phonetic Recognition According to the Reading Test of Grade 1 Students

Somphon Passon — 2024-10-15

This research aims to study the effects of using applications to Thai phonetic recognition according to the reading test of grade 1 students. The data used in the study were 800 voice readings with 40 students by using the sound feature extraction including Spectrogram and Mel Frequency Cepstral Coefficient techniques in conjunction with the use of Neural Networks to train data and test models for application development. The study found that pronunciation training and similarity comparison from sound signals after using an application that can analyze the pronunciation of 800 sounds, and Thai pronunciation of 160 words in the reading test has an accuracy of more than 50%, which is 93.75%, and less than 50%, which is 6.25%, after using the application to detect the pronunciation, the accuracy is at a very good level.

Developing System of Students' Home-Visiting by Route Analysis Technique and Cloud Maps

Nopporn Krairak — 2024-10-16

This study aims to develop a web application for students' home-visiting by route analysis technique and cloud maps in the data of primary education students of the schools in Nakhon Sawan Province. Consideration of key data characteristics, such as learning interest, academic performances, and genders, from data testing with Decision Tree and Neural Network. The results found that 1) the web application is operated by analyzing to design a use case diagram, the first records basic students' data, the second analyzes the recorded data using a Decision Tree, and a Neural Network to analyze the data and predict which student's home the teacher should visit in the data set and summary of students’ home- visiting results, the third data export to pdf format, 2) digital platform design, 3) development, and installation, 4) testing, 5) actual installation, 6) maintenance.