• Journal of the Korean School Mathematics Society
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• v.23 no.3
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• pp.377-395
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• 2020

The purpose of this study was to understand the perception of professors and students about non-face-to face classes at the university. The subjects of this study were 194 professors and 1,543 students at M University. In addition, 23 mathematics majors and 80 students of natural sciences and engineering investigate the perception of using video contents methods. It surveyed the evaluation from students after progressing online classes using video for one semester. The results of this study are as follows. First, the students preferred distance education type was an audio recording using lecture materials or class video contents. Second, an online class using video content was preferred by the students who are well self-control or have an autodidactic background. Finally, professors advanced preparation and careful consideration for the students enhanced the course satisfaction of students.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.295-297
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• 2021

In this study, the difference in resilience was analyzed based on the results of the microprocessor class for the group who temporarily conducted online learning due to COVID-19 and made a cross-school course. As a result of the study, the resilience value in online learning was found to be less than 150 in 12, 150 to less than 180 in 33, and 180 or more in 10. On the other hand, the resilience value in offline learning was found to be less than 150, 8 people, 150 or more, 180, 30, 180 or more, 17. Therefore, in subjects that teach hardware and software at the same time, such as a microprocessor, it is necessary to proceed with offline learning that can establish a laboratory learning environment, and when proceeding with online learning unavoidably due to COVID-19, the theory is the same as other theoretical subjects. Content should be focused on.

• Journal of Web Engineering
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• v.21 no.3
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• pp.677-692
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• 2022

Recognizing the offensive, abusive, and profanity of multimedia content on the web has been a challenge to keep the web environment for user's freedom of speech. As profanity filtering function has been developed and applied in text, audio, and video context in platforms such as social media, entertainment, and education, the number of methods to trick the web-based application also has been increased and became a new issue to be solved. Compared to commonly developed toxic content detection systems that use lexicon and keyword-based detection, this work tries to embrace a different approach by the meaning of the sentence. Meaning representation is a way to grasp the meaning of linguistic input. This work proposed a data-driven approach utilizing Abstract meaning Representation to extract the meaning of the online text content into a convolutional neural network to detect level profanity. This work implements the proposed model in two kinds of datasets from the Offensive Language Identification Dataset and other datasets from the Offensive Hate dataset merged with the Twitter Sentiment Analysis dataset. The results indicate that the proposed model performs effectively, and can achieve a satisfactory accuracy in recognizing the level of online text content toxicity.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.213-221
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• 2021

With the advent of the 4th industrial revolution, the need for artificial intelligence education has increased. The online learning environment caused by COVID-19 made it possible to use variety of artificial intelligence platforms. In this study, an aritificial intelligence class plan was developed and proposed to achieve the goal of artificial intelligence education using an AI platform. The AI platform used is AI for Oceans, With the theme of creating a program for the environment, designed a 6-hour project class using Novel Engineering-based on STEAM model. Students experience AI for Oceans enough time and learn supervised learning by experience. Based on understanding of supervised learning, students design their own programs for the environment using Entry's AI blocks. In this study, for AI convergence education, this lesson was developed and presented with the goal of acquiring the creative problem solving ability and integrated thinking ability by using the principles of artificial intelligence to solve problems.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.255-260
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• 2013

Nowadays, the intelligent education system has been studied using the self-directed learning ability. It can connect to the online virtual university and it is based on web technology that can be accessed anywhere anyplace. In order to implement the intelligent tutoring system, the student's weak and strong subjects must be first determined in real time, it proposed level learning capabilities and security algorithms in this paper. Moreover, in this paper, to implement the intelligent education tutoring system it proposed qr code and student level learning simulation.

• Journal of Engineering Education Research
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• v.16 no.3
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• pp.69-78
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• 2013

This study investigated various attributes that contributed to successful employment in order to develop employment support programs, especially for female engineering students. We surveyed engineering students who graduated between 2006 and 2011. The 401 employed graduates participated in an online survey. The surveys inquired about their attachment towards their major, participation in various academic and non-academic activities, and their participation's contribution to their successful employment. In regards to their majors, women, in general, had lower levels of satisfaction, confidence, attachment, and motivation to succeed in their fields when compared to their male counterparts. These results show that engineering colleges still need to work on empowering female engineering students to gain confidence in their engineering major and attachment. The graduate school experience was highly rated by both men and women, whereas double majors exhibited somewhat lower scores. Among academic activities, part-time work experience and major-related internships were rated as the most helpful, and among extracurricular activities, study-abroad for language training and participation in student council or clubs received high scores. There was little difference between men and women in study-abroad participation, and women participated more actively in student councils. However, women had much less major-related work experience, reaffirming that colleges need to expand internship and field experience programs for female students.

• Journal of Digital Contents Society
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• v.18 no.4
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• pp.631-639
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• 2017

Development and implementation of virtual training contents has been increasing along with the emphasis on the experience and practice in engineering education. Virtual training makes repeatable sessions possible within safe learning environment which is very similar with real work place. This feature is very helpful to learners when they manipulate real machines back at work after studying with the virtual training content. The purpose of this study is to develop "Total Station and GPSS surveying" virtual training content focusing on both theory and surveying practice within various circumstances and to explore learners experience. Results show high interest, immersion, perceived learning effectiveness, and satisfaction to the content.

• Journal of Engineering Education Research
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• v.25 no.3
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• pp.35-44
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• 2022

Artificial intelligence is a core technology in the era of digital transformation, and as the technology level is advanced and used in various industries, its influence is growing in various fields, including social, ethical and legal issues. Therefore, it is time to raise social awareness on ethics of artificial intelligence as a prevention measure as well as improvement of laws and institutional systems related to artificial intelligence development. In this study, we analyzed unstructured data, typically text, such as online news articles and comments to confirm the degree of social awareness on ethics of artificial intelligence development. The analysis showed that the public intended to concentrate on specific issues such as "Human," "Robot," and "President" in 2018 to 2019, while the public has been interested in the use of personal information and gender conflics in 2020 to 2021.

• Journal of Practical Engineering Education
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• v.9 no.1
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• pp.57-68
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• 2017

The purpose of this study is to analyze the actual preparation process and outcomes of applying RPL in University Dual System based on KOREATECH's case. A comprehensive literature review on prior research and cases was described in this study to assist Korean educational institutions who might be interested in adopting RPL into their organizations. Furthermore, three different levels of support were suggested based on the results of this study for successful adoption of RPL in Korea. Support from national system level, sociocultural level, and university level should be considered carefully for the success of RPL.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.233-241
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• 2023

This study analyzes the construction status of digital employment services in Korea and presents the direction of continuous advancement and development of digital employment services based on overseas cases and the latest digital technology development trends. Find out the specific digitalization promotion strategies and current status of major countries such as Belgium, Australia, the United Kingdom, Germany, France, and the United States. In addition, in order to present a plan for the development of digital employment services in Korea, we will propose a plan to expand digital employment services to online employment centers through individual and customized employment services, data openness, and expansion of public-private collaboration through digital employment services using AI and big data.