• Journal of Practical Engineering Education
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• v.9 no.2
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• pp.107-117
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• 2017

here are many cases that take a software education as a required course for non-major students in university curriculums. However, non-major students are experiencing various difficulties in the process of learning programming languages, and there is also the opposite opinion in terms of their effectiveness. In this study, we developed a design based software education model (DBSEM) and curriculum to solve these problems and applied it to undergraduate non-undergraduate students for the last 8 years. In the proposed method, we provide a specialized educational tool such as 'block-based programming tool', but developed 'core module' and 'concept learning module' for computational thinking and applied 'prototype design module' and coding strategy based on it. As a result, non-major undergraduates could easily learn block-based scripting tools and acquire core concepts of computational thinking.

• Journal of Practical Engineering Education
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• v.13 no.2
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• pp.271-281
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• 2021

This study aimed to investigate the perception of education consumers about the vocational high school credit system. The researcher analyzed the survey data collected from students, parents, and teachers of vocational high schools located in the A metropolitan city, and a total of 981 responses were analyzed: 541 students, 261 parents, and 179 teachers. One-way ANOVA and χ² test were performed using IBM SPSS 21. The results are as follows. First, in all responses of perception of the vocational high school credit system, the mean difference between groups was statistically significant, and differences between teachers-students, and teachers-parents were found. Second, the mean difference between groups in the need for early graduation in curriculum implementation was statistically significant, and the mean of students was higher than that of parents and teachers. Third, the mean difference between groups in teachers' use of multiple teaching methods under class management and evaluation was statistically significant, and the means of parents and teachers were higher than that of students.

• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.19-26
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• 2019

Recently, the importance of the internet of things (IoT) education has been emphasized due to the progress of research on IoT technology. Therefore, universities require an efficient IoT course. In this paper, we propose an undergraduate IoT course using the Bluetooth function of smartphone and Arduino kit. The proposed embedded IoT class uses the Bluetooth capabilities of the smartphone to connect Arduino and activate various sensors to encourage students to become interested in the class. According to students' midterm and final exam scores, students programming skills have been improved since students' projects were in progress during the course. Further, according to students' survey, the proposed IoT class is very effective in understanding the embedded IoT and 75% of the students satisfied with the proposed course.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.12
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• pp.1578-1587
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• 2019

Software education enhances creative thinking and critical thinking for students living in the era of the Fourth Industrial Revolution, and helps them choose jobs in software-related industries. This study is an example of software education applied to the vulnerable students of the child welfare center to narrow the software gap and achieve the equity in education. This education was conducted in Unplugged activity, Entry coding, and Physical computing classes for 170 students from 20 institutions in South Chungcheong Province, North Chungcheong Province, and Daejeon city in Korea. The curriculum utilized a total of four types of student and teacher level materials, with a total of 10 hours of classes per child welfare center. In addition, the surveys of the students and institutions confirmed that this education influenced their interest in software education and their desire for continuous software education.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.12
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• pp.1749-1755
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• 2021

Virtual reality is actively applied in the fields of games, entertainment, communication, sports, and architecture. In particular, many virtual reality-based education systems are being developed in the field of education, creating efficient learning effects. In addition, virtual reality-based education is used in areas such as maintenance, fighter control, medical care, and firefighting as it can maximize the educational effect through the mastery process of the function itself through the curriculum as well as indirect experiences of dangerous situations that are difficult to experience. However, due to technical limitations, lack of contents, and lack of theoretical research, the level of application of military education and training is still insufficient. This paper aim to contribute to the development of a virtual reality-based education system as a military training system by developing a high-quality drop training system applicable to military group descent training, studying key technologies and implementation methods necessary for development.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.279-285
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• 2022

In this paper, as a liberal arts course for non-majors, we developed a basic practice case for convolutional neural networks, which is essential for designing a basic convolutional neural network course curriculum. The developed practice case focuses on understanding the working principle of the convolutional neural network and uses a spreadsheet to check the entire visualized process. The developed practice case consisted of generating supervised learning method image training data, implementing the input layer, convolution layer (convolutional layer), pooling layer, and output layer sequentially, and testing the performance of the convolutional neural network on new data. By extending the practice cases developed in this paper, the number of images to be recognized can be expanded, or basic practice cases can be made to create a convolutional neural network that increases the compression rate for high-quality images. Therefore, it can be said that the utility of this convolutional neural network basic practice case is high.

• Journal of Practical Engineering Education
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• v.13 no.3
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• pp.443-451
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• 2021

Most universities are attempting educational innovation through multidisciplinary approaches, such as interdisciplinary programs and convergent majors, to nurture convergent talents in the era of the 4th Industrial Revolution. The purpose of this study is to identify the priorities of the educational needs of students who complete the interdisciplinary program and to find its effective operation plan. For this purpose, research was conducted to search for the university-level support required to vitalize the interdisciplinary program by doing focus group interviews with students who have participated in the interdisciplinary program. And the final priority was derived by applying the t-test, Borich's need assessment model, and The Locus for Focus Model, using online research. As a result of the analysis, 'formation and operation of dedicated organizations' and 'dedicated classrooms and practice rooms' were deduced as factors to be considered as a top priority, 'curriculum specialization,' 'interdisciplinary program scholarship support,' 'interdisciplinary program promotion,' and 'assignment of dedicated teaching assistants' were derived as secondary consideration factors. Based on these research results, a plan of vitalizing the educational needs for the interdisciplinary program at university and its implications were suggested.

• Journal of Practical Engineering Education
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• v.14 no.3
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• pp.573-577
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• 2022

In this paper, the operation of the Korean digital key talent training project (K-Digital Training) supported by the Ministry of Labor in 2022 began in 2021, and through public offering in the second half of 2022, 403 training courses are held to secure 33,000 annual training personnel. Accordingly, because of performance analysis on learning satisfaction in each field of the state-led talent development program to respond quickly to future industrial changes by fostering digital talent, the overall satisfaction with the program was very high at 4.27 on average. However, the initial expectation for employment linkage is decreasing from 4.2 to 3.91 at the end of learning. Therefore, it is expected that the satisfaction level of the program can be continuously improved only when the organizations participating in the program are prepared in advance for employment linkage

• Journal of Practical Engineering Education
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• v.14 no.3
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• pp.491-498
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• 2022

In this paper, as a liberal arts course for non-major students, a case study of recurrent neural network SW practice, which is essential for designing a basic recurrent neural network subject curriculum, was developed. The developed SW practice case focused on understanding the operation principle of the recurrent neural network, and used a spreadsheet to check the entire visualized operation process. The developed recurrent neural network practice case consisted of creating supervised text completion training data, implementing the input layer, hidden layer, state layer (context node), and output layer in sequence, and testing the performance of the recurrent neural network on text data. The recurrent neural network practice case developed in this paper automatically completes words with various numbers of characters. Using the proposed recurrent neural network practice case, it is possible to create an artificial intelligence SW practice case that automatically completes by expanding the maximum number of characters constituting Korean or English words in various ways. Therefore, it can be said that the utilization of this case of basic practice of recurrent neural network is high.

• Journal of Practical Engineering Education
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• v.15 no.3
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• pp.549-555
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• 2023

The representative technology of the WWAN wireless communication network used in the Internet of Things is LoRa communication technology, and LoRa communication uses the ISM band. The 920 MHz (920.9 MHz~923.3 MHz) band frequency, which is used as a domestic LoRa frequency, had a problem in performing LoRa network practice in the curriculum using a commercially available LoRa modules that have been used in Europe and the United States because of different frequency band, but a RYLR896 LoRa module was developed that allowed RF frequency to be programmed. With this module, this paper confirmed that the frequency can be set at a specified frequency in Korea using AT commands. In addition, using these RYLR896 LoRa modules, a LoRa network consisting of end nodes and gateways was constructed and practiced to confirm that development equipment capable of practicing the RYLR896 LoRa module and IoT was operating normally.