Journal of Applied Informatics and Technology

A Study of Generation Z on Their Learning Styles, Online Learning Methods and Search Strategies

Saranya Saetang — Tue, 20 Aug 2024 00:00:00 +0700

The traits and learning preferences of different generations differ. Less research has been done on Generation Z (Gen Z), the next generation of employees and consumers. This study attempts to shed light on the learning styles and preferences of Gen Z along with their views on both structured and unstructured online learning, and their searching strategies. Open-ended surveys and knowledge search tasks were conducted, observed, and analyzed. The results showed that Gen Z students tend to prefer visual and kinesthetic learning. Moreover, individual goals influence both structured and unstructured online learning methods. The search strategies used by Gen Z students are using a combination of short keywords and focus features (functions) that they want to perform. Moreover, they selected the search results by looking at search engine rankings, website reputation, the amount of views, and the more recent links. The findings of this study will be valuable for creating online courses that adopt the best strategies for Gen Z students. The paper concluded with recommendations on online learning design with knowledge-searching implications.

TalkTutorAI: Empowering English Language Proficiency through ChatGPT-Assisted Conversational Practice – A Case Study at Ubon Ratchathani Rajabhat University, Thailand

Kimchhong Say, Charnsak Srisawatsakul, Waransanang Boontarig — Tue, 20 Aug 2024 00:00:00 +0700

The significance of English as a global language is of growing importance in Thailand, especially in education sectors. However, Thai students often face significant challenges in getting conversational English proficiency. Furthermore, Thailand is classified as a non-English proficient country, showing surprisingly low proficiency levels in English, especially in conversational aspects. Hence, the primary objective of this research is to develop TalkTutorAI, a web application AI chatbot that leverages ChatGPT. TalkTutorAI was designed to positively affect Thai learners by providing a platform to enhance and practice their English language skills efficiently, with the assistance of a powerful AI teacher like ChatGPT. This study employs a design science research approach to address real-world challenges commonly met by Thai learners. The assessment of TalkTutorAI involved 116 student participants from diverse faculties at Ubon Ratchathani Rajabhat University. The evaluation incorporated both testing and survey responses from students, focusing on key factors including user experience, language learning efficiency, content relevance, and overall satisfaction. The results showed a commendable high level of satisfaction with TalkTutorAI, as indicated by an overall experience mean score of 3.82 out of 5, demonstrating a positive reception among participants. Users particularly commended the system for its user-friendly interface and convenience. However, some users suggested improvements, such as enhancing response speed, improving language translation capabilities, and fostering more captivating and human-like interactions. This study suggests that AI chatbots can effectively facilitate English conversation teaching. Furthermore, the findings create a platform for future academic inquiries in this burgeoning domain.

Smart Greenhouse System Based on Internet of Things using Information Flow Diagram and MQTT Connectivity

Sommart Promput, Naris Uraipan, Suttipong Klongdee — Mon, 04 Nov 2024 00:00:00 +0700

Technological advancements have driven the rapidly changing digital era, making the Internet of Things (IoT) adaptable in several study fields. Efficiently designing and developing smart greenhouse systems may enhance precision agriculture by enabling automated and accurate operations. This study concentrates on the architectural design of a smart greenhouse monitoring system. It employs Message Queue Telemetry Transport (MQTT) as a protocol to facilitate data communication between devices within the IoT system over extensive distances. This protocol works in conjunction with applications that use the Information Flow Diagram (IFD) architecture for the user interface. Additionally, the protocol evaluates the efficiency of using the smart greenhouse system with a mobile application. By assessing farmers' acceptance of the proposed IoT system, 35 farmers explored the adoption of IoT technology for farming based on the Technology Acceptance Model (TAM) model. The evaluation of the results of the hypothesis test was analyzed using the critical ratio (CR) value, with a required limit of 1.96 at the 95% confidence level. We can conclude that all the hypotheses were acceptable.

Developing a VR Map for the Faculty of Computer Science, Ubon Ratchathani Rajabhat University: A Design Science Approach

Mon, 04 Nov 2024 00:00:00 +0700

This research aims to develop a virtual reality (VR) map for the Faculty of Computer Science at Ubon Ratchathani Rajabhat University and evaluate the satisfaction level of its users. This study used a design science research approach to address real-world issues such as navigating and exploring a university faculty, which can be difficult for new students and visitors. This study’s artifact is a working prototype of a VR map of the Faculty of Computer Science building, which was evaluated with 115 student participants using a quantitative questionnaire. The results showed that the VR map received a high level of satisfaction, with a mean score of 4.30 for the overall experience. The users particularly appreciated the system’s ease of use, convenience, and readability of the text and images displayed. However, some users suggested improvements such as clearer room signs, more detailed point of interest (POI) information, and the inclusion of multimedia elements such as videos and narrations. The findings of this study can help with the design and development of virtual reality maps for university campuses, as well as future research in this field.

Mobile Application with Augmented Reality Technology for Digestive System Learning of Upper-Primary School Students

Nipaporn Chanamarn, Surasit Uypatchawong, Komcharn Suwannapan — Tue, 20 Aug 2024 00:00:00 +0700

The objectives of this research were fourfold: 1) to develop a mobile application using augmented reality technology for teaching the digestive system to upper-primary school students, 2) to assess the effectiveness of the mobile application in facilitating digestive system learning, 3) to evaluate performance using the E1/E2 formula during the use of the mobile application, and 4) to assess satisfaction with the mobile application for digestive system learning. The development process followed the Software Development Life Cycle (SDLC), utilizing the C# language in the Visual Studio Code Program and creating models with the Unity and Blender Programs. The research employed various assessment tools, including performance evaluations by five experts, pre-test and post-test assessments from 18 students, and satisfaction assessments from a sample of 58 individuals using cluster sampling selection methods. Statistical measures used included mean, standard deviation, and the efficiency criteria of 80/80 using the E1/E2 formula. The findings revealed that the mobile application for digestive system learning for upper-primary school students, incorporating augmented reality technology, featured a total of eight models. The application operated in two ways: 1) users could learn by scanning through Marker sheets, and 2) learning by selecting content from the menu could serve as a learning medium for students, enabling individuals interested in the topic to learn at any time. Considering the results of the evaluation, the overall efficiency was at the highest level (=4.90, S.D.=0.17), with E1/E2 efficiency at 80.56/83.89, surpassing the required performance. Academic achievement demonstrated a statistically significant increase in post-test scores compared to pre-test scores at a p-value of .05. User satisfaction among the sample was reported at the highest level (=4.75, S.D.=0.45). In conclusion, this application is a practical and suitable study material for students and individuals interested in the topic, allowing flexible learning opportunities at any time. It can be used as teaching material in science learning groups and proves useful for schools, helping to reduce the cost of purchasing study materials for students.

Comparison the Performance of Models for Classifying Thai Exported Fruit Images

Tue, 20 Aug 2024 00:00:00 +0700

Fruits are a major economic crop in Thailand, providing both primary employment and income for many farmers. This research aims to develop and evaluate the performance of a classification model for Thai export fruits. A dataset of over 710 images of Thai export fruits was collected. The model learning process consists of two steps: dimensionality reduction of image data and model learning. In the dimensionality reduction step, two methods were experimented with: image squashing and convolutional neural network. The models studied in the second step consisted of three models: the nearest neighbor model, the decision tree model, and the logistic regression model. The research results on the collected dataset found that the image classification performance of Thai export fruits using dimensionality reduction techniques with convolutional neural networks is higher than that of image flattening, and the model that can best classify images is the logistic regression model, which achieves a maximum accuracy and recall of 95.21%, a precision at 95.50%, F1 score at 95.16%. It used the most training time of 25.809 seconds but only took 7.70 milliseconds for inference.

Guidelines for Communicating the Identity of the Three Dhammas for Tourism in Sakon Nakhon Province

Jiraphat Roemsri, Niramol Nueangsittha — Tue, 20 Aug 2024 00:00:00 +0700

Abstract: This research has objectives (1) to study the tourism identity of Sakon Nakhon Province, (2) the identity communication strategy to promote tourism in Sakon Nakhon Province. It is mixed research Between qualitative research and quantitative research Bring information SWOT Analysis Then formulate a plan for identity communication strategic indigo dyed in Sakon Nakhon with TOWS MATRIX Analysis and Focus Group by experts to check the plan for identity communication strategic tourism identity of Sakon Nakhon. The research found that

Sakon Nakhon Province has its strengths in Dharma, nature and culture in accordance with the local conditions. Therefore, the identity of the 3 Dhamma was established as a tourism strategy in Sakon Nakhon Province. But the past problems found that Relevant agencies still lack clear tourism identity dissemination. It is necessary to seriously promote or encourage stakeholders to jointly develop the tourism identity of the province.
Determination of identity communication strategies to promote tourism in Sakon Nakhon Province (1) Strategy 1: Promote the use of provincial identity. It is the development of an identity narrative through history. both online and offline media Create a two-way communication format. to increase awareness and create a force to attract the attention of tourists (2) Strategy 2: Determination in design and encoding Bringing together marketing communication tools to create and enhance the design mechanism and the choice of provincial identity to be concrete can be linked to the province (3) Strategy 3: Coordination and expansion of cooperation with tourism agencies both regionally and nationally. It is a policy management. and sustainable operations Support the dissemination of communication of the provincial identity to be more known

The Development of Learning Media Application About Thai Proverbs for Students in Grades 4-6

Wiraiwan Sanchana, Jakkrit Sukajan — Thu, 09 Jan 2025 00:00:00 +0700

Learning is not only limited to the classroom, but students are able to expand their knowledge through various media. This research is therefore interested in collecting information on Thai proverbs, evaluating the suitability of content, design and develop application, evaluate the accuracy and suitability of learning materials and evaluate the satisfaction with the learning media application on Thai proverbs for students in grades 4-6, using the Thunkable program to develop the application. The study results are as follows: 1) Thai proverbs were collected from Patee Language textbooks for grade 4-6, totaling 36 words and from the book “1,400 proverbs, aphorisms, Thai idioms and royal vocabulary, elementary school children's edition”, totaling 44 words. 2) The results of the evaluation of the accuracy of the contents on Thai proverbs found that the accuracy was at a high level. 3) The system development using the Thunkable program included functions such as accessing the lesson pages to learn the content, pre-tests and post-tests to determine the level of knowledge and understanding of Thai proverbs. 4) The result of the evaluation of learning media in the application found that the learning media was at a high level and 5) The user satisfaction evaluation found that users were highly satisfied with the application.

Factors Affecting the Acceptance of Live Streaming Technology for Purchasing Products by Ubon Ratchathani Rajabhat University Students: Case Study of TikTok Application

Santanee Kitpermkiad, Charnsak Srisawatsakul — Mon, 20 Jan 2025 00:00:00 +0700

Recently, live streaming technology has become increasingly popular worldwide due to its ability to enable viewers to interact and become closer to influencers in the online world. In Thailand, the platform that is highly popular for live streaming is TikTok, which started as an application for sharing short videos. It features a live streaming option called TikTok LIVE, which has become increasingly popular, especially among Generation Z. Importantly, this live streaming channel has also transformed into a venue for selling products and services. Therefore, this research aims to identify the factors affecting the intention of purchasing products through live streaming on TikTok among Generation Z in Ubon Ratchathani Province. The population for this study was the students of Ubon Ratchathani Rajabhat University. The data consisted of 239 sample participants. The data were collected using an online questionnaire, which was verified by three experts. The Partial Least Squares Structural Equation Modeling (PLS-SEM) was used to test the hypothesis and explore the relationships between variables. The study found that service quality, system quality, perceived ease of use, and information quality significantly influenced the purchase intentions of Ubon Ratchathani Rajabhat University students through the TikTok application.

Factors Affecting Mobile Game Preference for Alpha Generation with MDA Games Analysis Framework

Punyarat Rungsoongnern, Suwich Tirakoat — Fri, 31 Jan 2025 00:00:00 +0700

The purpose of this research is to 1) analyze mobile game design elements using an MDA framework, 2) study the factors affecting mobile game preference for the Alpha generation. Using the mobile game “Subway Surfers” as a case study, from a selection of free mobile games, and games content ratings not more than 13 years, this is a criterion for grading game content that is appropriate for the age of the Alpha generation, is a popular game available on both Android and iOS operating systems from the IGN website. The sample group consisted of 348 students from Assumption College Nakhon Ratchasima in Semester 2 of the 2023 academic year. The participants were selected using purposive sampling to ensure that they were able to use mobile phones fluently. The tools used to collect data were questionnaires on factors affecting the mobile games “Subway Surfers” among the Alpha generation. Statistics used in data analysis include sum and percentage. The results of the research found that 1) analysis of the mobile game “Subway Surfers” using the MDA framework reveals 17 factors that can be classified into 6 categories based on mechanics, 4 categories based on dynamics, and 7 categories based on aesthetics, 2) there are 11 factors that the Alpha generation likes the most, with more than 50 percent of respondents agreeing on each factor. These factors are: (1) friendly and easy-to-use control system, (2) the challenge of playing for as long as possible to get more points, (3) train the senses of using eyes, hands, and decision-making, (4) use the character controls to play the game from the original user experience, (5) the colors of the graphics in the game are bright and eye-catching, (6) the challenge of controlling the character through obstacles to reach the destination, (7) playing to relieve stress, (8) playing to kill time, (9) the character movements in the game are beautiful, (10) the sound in the game makes it feel fun, and (11) playable without an internet connection, respectively.

Burn Wound Severity Detection using Segmentation Model: A Comparative Study Between U-NET and YOLOv8

Kwankamon Dittakan, Sorawit Nookong — Tue, 20 Aug 2024 00:00:00 +0700

This research focuses on detecting burn severity using an area of interest detection approach. The burn areas are categorized into three levels: (i) first-degree burns, (ii) second-degree burns, and (iii) third-degree burns, each with distinct visual characteristics. To detect burn severity, artificial intelligence (AI) techniques were applied through the development of two models: U-Net and YOLOv8. A dataset of 2,000 images representing all three levels of burns was used in the experiments. The goal was to compare the performance of U-Net, a widely used model for segmenting areas of interest, with YOLOv8, a newer model introduced in 2023. Experimental results show that the best performance of U-Net achieved an accuracy of 79.1% and a loss value of 79.8%. In contrast, YOLOv8 achieved its best result with an mAP@0.5 of 0.657, a segmentation loss of 3.231, and a classification loss of 1.961. These results represent the optimal performance of both models in this study.

The study of Presentation Style Perfomance of a Business Intelligence System and Chatbot for a Maintenance Support System

Natadsada Sungsaophat, Satidchoke Phosaard — Wed, 26 Mar 2025 00:00:00 +0700

The objectives of this research are as follows: 1) to enhance the data presentation of the business intelligence system for machine maintenance support, 2) to examine the format and improve the interaction with the business intelligence system for machine maintenance support, 3) to assess user satisfaction with business intelligence, and 4) to evaluate the impact of business intelligence on users. The Waterfall model of the program development cycle is employed in the creation of business intelligence systems and conversation robots, such as chatbots. Next, the efficacy of utilization and the level of user contentment are assessed by collecting data on the requirements of those engaged in the water treatment facility at Suranaree University of Technology. Business intelligence includes technological components such as software and databases. The software was created with the Power BI software to facilitate the presentation of reports and enable interaction with the database. MySQL is utilized by the database to store machine operational data. The chatbot system was developed using Python and utilizes LINE's messaging API to deliver services and obtain system status information. In order to facilitate machine maintenance, it is necessary to establish business intelligence systems that are suitable and effective. This includes implementing a chatbot that aids in analyzing the optimal efficiency of machine operation. The study utilized a sample group consisting of students from the Faculty of Engineering (Mechanical Engineering) at Suranaree University of Technology, as well as personnel working in the water treatment plant at Suranaree University of Technology. A total of 37 individuals were included in the sample. Data collection was conducted through the administration of a questionnaire. Frequency, percentage, mean, standard deviation, and two-way analysis of variance are among the statistical measures employed in data analysis. Pair comparisons were conducted using Fisher's Least Significant Difference (LSD) if there were statistically significant differences. The findings indicate that business intelligence systems designed for machine maintenance may provide comprehensive data on water management systems, including reports on water levels, anomalies in power and water pressure, real-time monitoring through CCTV, and analysis of previous data. In a study of performance and user satisfaction, it was found that the sample group was most satisfied with the overall audio description ( = 4.32, SD = 0.589). In terms of work efficiency, the chatbot was most effective overall ( = 4.01, SD = 0.860).

Utilizing Color Palettes while Creating a Two-Dimensional Pattern Model

Tue, 20 Aug 2024 00:00:00 +0700

The objective of this study is to create the Isan Thong pattern in two dimensions. Create a color scheme for every Isan pattern, then assess how well the color design complements the 2D visual representation of the Isan pattern. The eight patterns and the ideas of color theory that influence design were examined by the researcher. Select ten color theories to illustrate the Isan fashion and create an eight-pattern model of the Isan thong: four-side, six-side, eight-side, ten-side, three-dimensional, and starburst. Using a color set and a 2D pattern model, Thong Lai Kaew Kamala and the Bodhi leaf pattern create an E-Book title the Isan Color Palettes. According to the research findings, each Isan pattern is intend to be usable with a specific combination of colors in the 2D images. and the outcomes of assessing the 2D image model of the Isan Thong pattern's effectiveness The Isan Sithung set ( = 4.77) is at its maximum level overall.