• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.81-96
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• 2022

Based on a survey conducted on 125 students in the Department of Computer Engineering at K University, the following results were obtained by analyzing ways to improve academic ability. Male students should pay more attention to grade points management than female students before completing their military service. Students with high self-assessed academic ability score higher than students with low self-assessed academic ability. As long as students don't spend too much time, a student's part-time job is not an obstacle to their study. Compared to Seoul, Gyeonggi, and Incheon regions, students from Gangwon and other regions should pay special attention to some pre-classes to understand regular university lectures. In undergraduate education, a student's major aptitude is not a big problem. In order to change major, students need counseling about their major's aptitude only at the beginning semester. In order to get good grades, the achievement of the will to study is more important than the will to study itself. Professors should encourage students to review what they have learned in class after class and always assure students sincerity in their studies through the counseling process.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.18-25
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• 2023

The COVID-19 pandemic has had a significant impact on the educational landscape for students across the globe, leading to a shift towards long-term online learning. This study aims to examine the changes in the health status of college and university students before and after the transition to online classes. We conducted a survey questionnaire among 200 students enrolled at K University in Gangwon-do, including participants from both the Department of Visual Optics and the Department of Physical Therapy. The survey employed a 5-point Likert scale to evaluate a range of health-related factors, including physical and mental well-being, alterations in lifestyle, and academic performance. Both male and female students experienced a decline in physical strength and exercise during the online class period, while mental health and overall happiness showed improvement, particularly among female students. Notable shifts in lifestyle emerged, including an increased usage of electronic devices and enhanced familial connections. The study also shed light on intriguing trends related to academic accomplishments and adherence to official quarantine guidelines. In sum, the findings of this study offer valuable foundational information for the maintenance of students' well-being during online learning, as well as the development of effective strategies for online education in future academic settings.

• Journal of Environmental Science International
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• v.26 no.5
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• pp.661-674
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• 2017

This study used questionnaires to investigate how pre-service elementary teachers understand ocean acidification. As a result of gender, female teachers were more aware of ocean acidification than male teachers, but male teachers had a higher average rate of correct answers, with a lower standard deviation. Teachers from the natural sciences knew more about ocean acidification than did teachers the liberal arts. Teachers ranked environmental crisis in order of most dangerous to least dangerous as follow: global warming and the greenhouse effect, ozone depletion, ocean acidification, and acid rain. About 46.7% of teachers learn about ocean acidification through education, followed by broadcasts, school lectures and the internet. The educational materials most desired for teachers were videos related to ocean acidification. Pre-service elementary teachers have two broad perspectives on ocean acidification. Firstly, they refer to economic loss and food shortages, and secondly, they note that there is a need for improved awareness and publicity about ocean acidification. The role of elementary school teachers is important because their awareness of environmental issues has a considerable effect on teachers perception of the environment. Revitalizing education on ocean acidification and government support are necessary to effectively communicate the seriousness of ocean acidification. Lastly, we need to study ocean acidification in detail so as to be able to persevere toward protecting our ocean ecosystem.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.375-380
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• 2019

In this paper, we study learning process mining and analytic technology based on open education platform. A study on mining through personal learning history log data based on an open education platform such as MOOC which is growing in interest recently. This technology is to design and implement a learning process mining framework for discovering and analyzing meaningful learning processes and knowledge from learning history log data. Learning process mining framework technology is a technique for expressing, extracting, analyzing and visualizing the learning process to provide learners with improved learning processes and educational services.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.211-217
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• 2019

The term project executed at the university is a learner-centered learning method in which students select their topics, draw up their plans, and produce results by themselves based on the content they have learned during the semester. Through the term-end project of the subjects relating software, students learn various techniques for the programming language and produce the outcomes of their project by the creative program development process. However, non-computer majors who take software course as liberal arts subjects have difficulty in understanding the programming language, so it is necessary to provide feedback from their professor for encouraging students in carrying out their projects smoothly. Therefore, a feedback method by the discussions between a professor and learners that can be applied to the term-end project of programming subject for the non-computer majors is proposed. The proposed method was apply to the actual term-end projects and the meaningful results were confirmed through the analysis of the project processes and outcomes.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.745-752
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• 2023

This study aims to improve the quality of classes by analyzing the role and learning achievement of instructors in programming subjects for non-major students. In order to improve the quality of university education, universities provide various programs to strengthen the teaching capacity of instructors. Ultimately, in order to improve the quality of classes, instructors increase student participation in classes, respond sincerely to students' inquiries, and provide feedback that can assist students in various situations that occur during class and learning, thereby improving class satisfaction and achievement. should try to improve. In this paper, based on the teaching method, learning achievement, and teacher role satisfaction survey conducted in the liberal arts programming course of K University, we study the influence of the teacher's role on the quality improvement of the class. Examine the relationship with satisfaction.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.182-190
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• 2024

Various artificial intelligence neural network models that have emerged since 2014 enable the creation of new content beyond the existing level of information discrimination and withdrawal, and the recent generative artificial intelligences such as ChatGPT and Gall-E2 create and present new information similar to actual data, enabling natural interaction because they create and provide verbal expressions similar to humans, unlike existing chatbots that simply present input content or search results. This study aims to present a model that can improve the ChatGPT communication skills of university students through curriculum research on ChatGPT, which can be participated by students from all departments, including engineering, humanities, society, health, welfare, art, tourism, management, and liberal arts. It is intended to design a way to strengthen competitiveness to embody the practical ability to solve problems through ethical attitudes, AI-related technologies, data management, and composition processes as knowledge necessary to perform tasks in the artificial intelligence era, away from simple use capabilities. It is believed that through creative education methods, it is possible to improve university awareness in companies and to seek industry-academia self-reliant courses.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.292-298
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• 2022

Coding education and algorithm education are essential in the era of the fourth industrial revolution. Text-oriented algorithm textbooks are perceived as difficult by students who are new to coding and algorithms. There is a need to develop educational content so that students can easily understand the principles of complex algorithms. This paper has implemented basic sorting algorithms as augmented reality contents for students who are new to algorithm education. To make it easier to understand the concept and principles of sorting algorithms, sorting data was expressed as a 3D box and the comparison of values according to the algorithms and the movement of values were produced as augmented reality contents in the form of 3D animations. In order to help with the understanding of sorting algorithms in C language, the change of variable values and the exchange of data were shown as animations according to the execution order of the code and the flow of the loop. Students can conveniently use contents through a smart phone without special equipment by being produced in a marker-based manner. Interest and immersion, as well as understanding of classes of sorting algorithms can be increased through educational augmented reality-based educational contents.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.268-276
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• 2023

The representative branch of ICT education is Arduino. However, there are various problems when teaching using Arduino. Arduino requires a complex understanding of hardware and software, and this can be perceived as a difficult course, especially for beginners who are not familiar with programming or electronics. Additionally, the process of connecting the pins of the Arduino board and components must be accurate, and even small mistakes can lead to project failure, which can reduce the learner's concentration and interest in learning Arduino. Existing Arduino learning content consists of text and images in 2D format, which has limitations in increasing student understanding and immersion. Therefore, in this paper analyzes the necessary conditions for sprouting 'growing kidney beans' in the first semester of the fourth grade of elementary school, and builds an automated experimental environment using Arduino. Augmented reality of the pin connection process was designed and produced to solve the difficulties when building an automation system using Arduino. After 3D modeling Arduino and components using 3D Max, animation was set, and augmented reality (AR) content was produced using Unity to provide learners with more intuitive and immersive learning content when learning Arduino. Augmented reality (AR)-based Arduino learning content production is expected to increase educational effects by improving the understanding and immersion of classes in ICT education using Arduino and inducing fun and interest in physical computing coding education.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.334-342
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• 2022

Nowadays, as we can notice on social media, most users choose to use more than one language in their online postings. Thus, social media analytics needs reviewing as code-switching analytics instead of traditional analytics. This paper aims to present evidence comparable to the accuracy of code-switching analytics techniques in analysing the mood state of social media users. We conducted a systematic literature review (SLR) to study the social media analytics that examined the effectiveness of code-switching analytics techniques. One primary question and three sub-questions have been raised for this purpose. The study investigates the computational models used to detect and measures emotional well-being. The study primarily focuses on online postings text, including the extended text analysis, analysing and predicting using past experiences, and classifying the mood upon analysis. We used thirty-two (32) papers for our evidence synthesis and identified four main task classifications that can be used potentially in code-switching analytics. The tasks include determining analytics algorithms, classification techniques, mood classes, and analytics flow. Results showed that CNN-BiLSTM was the machine learning algorithm that affected code-switching analytics accuracy the most with 83.21%. In addition, the analytics accuracy when using the code-mixing emotion corpus could enhance by about 20% compared to when performing with one language. Our meta-analyses showed that code-mixing emotion corpus was effective in improving the mood analytics accuracy level. This SLR result has pointed to two apparent gaps in the research field: i) lack of studies that focus on Malay-English code-mixing analytics and ii) lack of studies investigating various mood classes via the code-mixing approach.