• The Journal of Korean Institute for Practical Engineering Education
• /
• v.5 no.1
• /
• pp.28-33
• /
• 2013

In this paper, we proposed a smart learning model that reflects the environment of information and communication that rapidly changing with the advent of smart devices. There are varieties of screen size and performance of smart devices, but they can be classified smart phones, smart pads, personal computer(PC) and Smart TV. In this paper, we look for appropriate services model with method of interaction and educational content as per each device type, then present the development direction of smart learning that reflects the information communication environment and future smart learning service model according to the characteristics of each device.

• Journal of Engineering Education Research
• /
• v.15 no.3
• /
• pp.66-71
• /
• 2012

In this paper, we try to explore basic factors that defines easy-to-learn programming language and easy-to-learn development environments for novice students who have not been exposed to computer programming language education. For these purpose, we investigate and analyze computer programming languages that are widely used in industrial environments, and present the summary and analyzed results. From the experimental results, most novice programmers understand computer programming languages in terms of procedural programming languages rather than in terms of functional programming languages or object oriented programming languages. Furthermore, we have found that, for effective education of basic level programming languages, factors of development environments are much more important than factors of programming paradigms that the computer programming languages are based on.

• Journal of Engineering Education Research
• /
• v.22 no.6
• /
• pp.21-27
• /
• 2019

In the last few years, interest in computer science education has increased significantly. The curriculum is being revised to introduce computer science. Although interest has focused on coding as the main subject, in fact the computer science includes much more than coding. It engages people in being creative with technology as well as understanding the fundamental principles of computer science. Therefore, it is important to consider the curriculum to provide a foundation by teaching and learning computer science. The curriculum is required the development of courses to teach computer science for non-majors in general education. To think like a computer scientist on the knowledge of computer science is computational thinking. In order to maximize the effectiveness of teaching and learning for computational thinking, various teaching methods and supplementary learning materials, and activities should be developed and provided.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2004.05b
• /
• pp.199-202
• /
• 2004

In order to efficiently provide the learning ability for engineering education, electromagnetic field simulator have been developed on lava 2 platform. Each simulation module based on lava applet can be easily utilized with independent platform and provide GUI environment to set up physical conditions. The numerical results using computer animation technique are provided in real time. To aggregate and manage the learning objects, application of SCORM which is e-Learning standards is also studied.

• Annual Conference of KIPS
• /
• 2007.11a
• /
• pp.609-612
• /
• 2007

정보사회와 컴퓨딩환경의 발전으로 언어, 학력, 인지도 등의 평가도구로서 컴퓨터기반의 평가환경이 보편화되었다. 특히 컴퓨터기반의 학력평가 환경을 위해서는 문항의 난이도와 변별도 등 문항의 특성을 정확히 분석하는 것이 필수적이다. 문항분석은 컴퓨터기반의 평가를 위한 양질의 문제은행 구성 및 문항과 수험자 능력의 정확한 추정과 체계적이고 과학적인 평가를 위한 전제조건이라 할 수 있다. 본 논문에서는 고전평가이론의 문제분석을 적용한 문제은행 시스템을 구현하였으며 수험결과를 분석하여 각 문제의 곤란도나 변별도, 문항분포도를 통하여 문제를 분석할 수 있도록 하였다. 또한 수험자가 각 문제를 푸는데 걸린 시간을 기록하여, 수험자의 문제에 이해도를 정확히 분석하고 수험자의 추측, 랜덤 선택 등으로 인한 정답을 맞힐 가능성과 한 문제를 읽고 이해하는 시간이 너무 오래걸린 이유에 대해서도 추정하였다. 문제분석 및 수험결과의 평가 및 분석으로 교사들은 문항의 양호도를 높일 수 있고 문제은행에 저장되어 있는 문항들을 수정하고 보완하여 양질의 문항을 출제할 수 있도록 하였다.

• KIPS Transactions on Software and Data Engineering
• /
• v.10 no.11
• /
• pp.513-520
• /
• 2021

Recently, research on edutech, which combines education and technology in the e-learning field called learning, education and training, has been actively conducted, but it is still insufficient to collect and utilize data tailored to individual learners based on learning activity data that can be automatically collected from digital devices. Therefore, this study attempts to detect questions in textbooks or problem papers using artificial intelligence computer vision technology that plays the same role as human eyes. The textbook or questionnaire item detection model proposed in this study can help collect, store, and analyze offline learning activity data in connection with intelligent education services without digital conversion of textbooks or questionnaires to help learners provide personalized learning services even in offline learning.

• Journal of Engineering Education Research
• /
• v.25 no.5
• /
• pp.44-54
• /
• 2022

The purpose of this study is to effectively implement the artificial intelligence education required in the digital transformation era. As we enter the era of the 4th industrial revolution, the demand for a great digital transformation in industry is essential, and the nurturing of manpower is presented as an indispensable relationship in the industrial field based on it. The integration of various new technologies that have emerged from the era of the 4th industrial revolution has the greatest purpose in realizing artificial intelligence technology. As the importance of digital competency in the top curriculum reorganization has been highlighted, artificial intelligence education is necessary even in the curriculum reorganization in 2022, and there is a demand in the educational field that it should be converted into a mandatory education in middle and high schools. Artificial intelligence education according to the demands of the times is to develop an artificial intelligence curriculum in universities by reestablishing systematic artificial intelligence education in universities, setting educational goals, and presenting the goals of artificial intelligence education by major. The main direction of this study is to present the relationship between artificial intelligence and each major in university education, develop a curriculum based on artificial intelligence for each major, and link artificial intelligence software for AI education customized for each major. We would like to present a process that can measure the learning outcomes of AI education.

• Journal of Practical Engineering Education
• /
• v.15 no.3
• /
• pp.635-640
• /
• 2023

Creating New Value Through Digital Transformation Across Industries Worldwide: A Focus on Transitioning from CAD to BIM Design in the Construction Sector with the Implementation of Mandatory BIM Design by 2025 by the Ministry of Land, Infrastructure, and Transport in South Korea. Challenges and Proposed Methodology for Enhancing Efficiency in BIM Design in the Civil Engineering Field of Underground Infrastructure, and Nurturing BIM Design Experts.

• Journal of Broadcast Engineering
• /
• v.28 no.2
• /
• pp.194-212
• /
• 2023

The MPEG immersive video (MIV) coding standard achieved high compression efficiency by removing inter-view redundancy and merging the residuals of immersive video which consists of multiple texture (color) and geometry (depth) pairs. Grouping of views that represent similar spaces enables quality improvement and implementation of selective streaming, but this has not been actively discussed recently. This paper introduces an implementation of group-based encoding into the recent version of MIV reference software, provides experimental results on optimal views and videos per group, and proposes a decision method for optimal number of videos for global immersive video representation by using portion of residual videos.

• Journal of Engineering Education Research
• /
• v.3 no.2
• /
• pp.3-13
• /
• 2000

The paper has analyzed and summarized about the theoretical problem occurred in the CAQC, and has developed the learning model focused on the histogram as a case study. The range of study is to systematize the basic method of histogram generally used, and to make step by step procedures under the interactive relation with the improvement of the theory that must be added in case of the calculation by the aided of MS-Excel software. A histogram is the theory to understand the population distribution from which samples are extracted, so alternative methods are presented to estimate the population shape through an experiment and a practice. In order to enlarge the application area of the histogram in the factory, the theory of normal test, the criteria of process capability index and the probability calculation of PPM are added to the histogram. The learning model of CAQC education is proposed that is consistent with the target of histogram to control and search the cause of item defectives fast and correctly.