Information Technology Journal

Learning Outcome of e-Learning with Cuteness in Science Teaching about Plants and Animals for Grade 4 Hearing Impaired Students with Different Learning Style

2023-04-11T19:21:48+07:00

The four purposes of this study were: First, to develop e-Learning with cuteness in science teaching about plants and animals for grade 4 students with hearing hearing-impaired who have different learning styles. Second, to study learning styles via e-Learning with hearing-impaired students who have different learning styles. Third, to examine the learning achievement before and after this e-Learning with cuteness, and finally, to study students' learning development who had different learning and studied via e-Learning with cuteness. This study is experimental research using one group pre-test and post-test design. The research instruments used for this experiment were: 1) e-Learning with cuteness in science teaching for grade 4 under the topic “plants and animals," pre-test and post-test exams, and Kolb’s learning style questionnaire. The samples for this study were 15 grade 4 students with hearing impairments at Surin School for the Deaf under the office of special education administration. Statistics employed for data analysis were mean ( ), standard deviation (S.D.), t-test, and f-test. The findings revealed that: The efficiency of e-Learning with cuteness in science teaching for grade 4 hearing-impaired students with different learning styles was highly efficient, meeting the requirement of Meguigans' criteria. The students’ learning achievement after learning via this e-Learning was significantly higher at the 0.05 level, while there is no significantly different in the learning achievement of students with different learning at the 0.05 level. However, learning via this e-Learning students’ achievement yielded a mean score of the learning achievement lower than the criterion (50 percent).

An Access Control System using RFID and Face Verification with QR Code-based Enrollment

2023-06-29T09:47:45+07:00

The objective of this paper is to propose the system architecture and implementation of an access control system using RFID technology and face verification. The implemented system was employed to control user’s access at the tripod turnstile gate in the library of the Prince of Songkla University (Trang Campus). The access control system is divided into two parts: enrolment and access control. In the enrolment part, the system obtains the user information from three processes: (1) the basic user information (e.g., full name and university identification number) is received via a SOAP web service,
(2) the face image of a user is detected by using the camera of a mobile phone, (3) the UID data of a RFID card is read in a form of QR code by using our enrolment board. In the access control part, the RFID reader board forwards the UID data reading from an RFID card into the main controller board via RS-232 communication. The main controller board is used to send the UID data into the Flask web server in order to retrieve the corresponding face image encoding, and then verify with faces that are detected from the webcam at the tripod turnstile gate. The main controller board also controls the tripod turnstile gate via the push-pull solenoid and receives external signals from the proximity sensor and limit switch. The performance of the implemented system using the Raspberry Pi 4 Model B board as the main controller board in terms of verification accuracy and response time was measured, and also compared with the NVIDIA Jetson Nano board.

Building ESexpert: The Machine Learning System for Voice Interactive Interview Score Assessment for Student Loan Funds

2023-07-25T10:46:32+07:00

Scholarship applicants' interviews generally last from an hour to an entire day. Several critical situations of each student caused the interviewer's feelings, such as stress, sadness, and anxiety. Listening to and discussing negative points can cause mental health problems. In order to decrease the duration of interviewing, This research paper discusses the development of a machine learning model for evaluating Student Loan Fund interview scores and an automated voice-based interactive machine learning interview scoring system. The process consists of building a machine-learning model using the Random Forest Algorithm with an accuracy of 99.54% and the SMOTE method to adjust the data asymmetry. The software was developed as a web application based on the SDLC for a second process, running Cloud Speech-to-Text of Google Speech API. Experts in all five areas evaluated the software, and the evaluation score was high. The research also looks at the Software Development Life Cycle (SDLC) models and the use of cross-validation and bootstrapping for accuracy estimation and model selection.

Design and Development of Coconut Dehusking Machine Using Raspberry Pi

2023-04-11T19:33:40+07:00

This study aimed to design and develop the automated Coconut Dehusking Machine using Raspberry Pi as minicomputer due to its flexibility and credibility of powerful CPU that send notification via GSM to mobile phone that is essential for counting dehusked coconut without using other computer peripheral devices. In addition, the device is equipped with limit switch to count the coconuts that have been dehusked and 16 x 2 sized LCD for displaying number of dehusked coconut. Furthermore, the device is operated by 2 horse-powered Electric Motor in rotational speed of 1,800 rpm under 220 volts main power source. A gearbox, roller chain and sprocket with 60 x 3 in sizes are used extremely to decrease the speed and at the same time may increase torque of the motor. This study was conducted at SLSU Lucena determined to be of help not for individual farmers but for mass use thru cooperativism or other banking financial schemes which adhere to modern way of farming. The researchers followed the process of developmental research through planning, designing, testing, modifying and evaluating the acceptability of the machine by the technical experts as respondents chosen purposively. From the gathered data, analyzed and interpreted, the developed machine is highly acceptable. After the modification it has been proven that the existing coconut de-husking machine is more efficient in terms of saved time and energy, more productive, easy to operate, human and environmentally friendly. Moreover, the machine performed above 92% efficiency in all the tests cases which significantly revealed the efficiency performance of eighty-seven percent (87%) over-all efficiency performance out of one hundred fourteen (114) coconuts in ten series of actual testing.

The Results of Using Online Interactive Learning to Enhance English in Daily Life towards ASEAN for Lower Secondary Students with Hearing Impairment: A Case Study of Deaf School in Surin Province

2023-09-08T11:14:06+07:00

This research aimed to: firstly, find out the effectiveness of a developed online interactive learning in enhancing English in daily life towards ASEAN for hearing-impaired students at the lower secondary level. Secondly, to determine the learning achievement of the students who used the online interactive learning. Thirdly, to calculate the effectiveness index of the online interactive learning in enhancing English for the hearing-impaired students. Fourthly, to examine the relationship between learning avidity scores and learning achievement of the hearing-impaired students who used the online interactive learning. The research utilized a one-group pre-test and post-test design. The sample consisted of 35 hearing-impaired students at the lower secondary level from the School for the Deaf in Surin Province, who expressed interest and readiness. The data was collected during the first semester of the academic year 2022. The research employed four tools: online interactive learning related to English in daily life towards ASEAN, pre-test, post-test, and learning avidity scores based on the eight desirable characteristics of students. The data analysis involved the use of percentage, effectiveness index, dependent t-test, and Pearson's Product Correlation Coefficient. The research findings indicated that online interactive learning enhanced knowledge of English in everyday life towards ASEAN, with an efficiency rating of 1.82 according to the Meguigans’ criterion. Similarly, the learners' learning achievement after using online interactive learning was higher compared to before learning, with a statistical significance level of 0.05. The effectiveness index of online interactive learning was found to be 0.3139, indicating that the learners experienced a learning progress of 31.39 percent, which did not align with the set assumptions (more than 0.80 or 80 percent). Furthermore, the study revealed that the learning avidity scores and learning achievement of the learners were significantly correlated at the 0.05 level.