• Journal of The Korean Association of Information Education
• /
• v.24 no.5
• /
• pp.453-462
• /
• 2020

With the development of artificial intelligence, a lot of platforms have emerged that enable anyone to easily access and learn about artificial intelligence or create artificial intelligence models. Therefore, in this study, we analyzed various artificial intelligence education platforms and developed and proposed a SW education class plan using a framework-based artificial intelligence education platform for activating artificial intelligence based SW education. The artificial intelligence-based SW education framework aims to cultivate artificial intelligence literacy on the basis of computational thinking. In addition, a learner-centered project class was formed to include elements that could be fused with real life contexts or other subjects. Using this, with the theme of creating an artificial intelligence program to help separate garbage collection, a six-hour project-based class was developed and proposed using practical arts, social studies, and creative experiential activities. This project class was organized using a platform that is not difficult, such as AI Oceans and Entry.

• International journal of advanced smart convergence
• /
• v.10 no.1
• /
• pp.1-11
• /
• 2021

Document page segmentation is an important step in building a quality optical character recognition module. The study examined already existing work on the topic of page segmentation and focused on the development of a segmentation model that has greater functional significance for application in an organization, as well as broad capabilities for managing the quality of the model. The main problems of document segmentation were highlighted, which include a complex background of intersecting objects. As classes for detection, not only classic text, table and figure were selected, but also additional types, such as signature, logo and table without borders (or with partially missing borders). This made it possible to pose a non-trivial task of detecting non-standard document elements. The authors compared existing neural network architectures for object detection based on published research data. The most suitable architecture was RetinaNet. To ensure the possibility of quality control of the model, a method based on neural network modeling using the RetinaNet architecture is proposed. During the study, several models were built, the quality of which was assessed on the test sample using the Mean average Precision metric. The best result among the constructed algorithms was shown by a model that includes four neural networks: the focus of the first neural network on detecting tables and tables without borders, the second - seals and signatures, the third - pictures and logos, and the fourth - text. As a result of the analysis, it was revealed that the approach based on four neural networks showed the best results in accordance with the objectives of the study on the test sample in the context of most classes of detection. The method proposed in the article can be used to recognize other objects. A promising direction in which the analysis can be continued is the segmentation of tables; the areas of the table that differ in function will act as classes: heading, cell with a name, cell with data, empty cell.

• The Journal of Sustainable Design and Educational Environment Research
• /
• v.20 no.1
• /
• pp.55-65
• /
• 2021

The purpose of this study is to explore the environmental educational relevance of Oriental Storks and school wetland biotope, and to explore environmental education methods using them. Through the study of literature, the history encompassing the extinction and restoration of resident Oriental Storks and the utilization of school wetland biotope, were considered, and the meaning and connection of environmental education were derived. Based on this, planned an environmental education program for all elementary school students. The program consisted of a total of 17 steps reflecting the core elements of environmental education. The specific learning material of an Oriental Stork and the specific place of a wetland biotope as a school facility were linked to provide experience and practice. In conclusion, environmental education for coexistence with nature can be promoted, and the specificity and systematicity of contents can be secured.

• Journal of Engineering Education Research
• /
• v.23 no.6
• /
• pp.3-16
• /
• 2020

This study aims to introduce the ENACT model, which is a systematic teaching-learning model for cultivating social responsibility of science and engineering college students, and to discuss its educational implications. For the development of the ENACT model, we conducted extensive literature reviews on RRI, STEM education, and science and technology studies (STS). In addition, we examined exemplary overseas education programs emphasizing social responsibility of scientists/engineers and citizens. The ENACT model consists of five steps; 1) Engage in SSIs, 2) Navigate SSIs, 3) Anticipate consequences, 4) Conduct scientific and engineering practice, and 5) Take action. This model links Socioscientific Issues (SSI) education with engineering education, dividing the major elements of social responsibility education for scientists and engineers into the dimensions of epistemology and praxis, and reflected them in the model. This effort enables science and engineering college students to pursue more responsible and sustainable development by carrying out the responsible problem-solving process based on an understanding of the nature of science and technology. We plan to implement ENACT model based programs for science and engineering college students and to examine the effects.

• Journal of Korean Library and Information Science Society
• /
• v.52 no.1
• /
• pp.229-254
• /
• 2021

The purpose of this study is to construct contents of elementary and secondary education which will be included in the information literacy education and to obtain basic information and implications necessary for developing new textbooks. For this study, three types of previously developed textbooks for information literacy education were analyzed, and curriculum content structure, and textbook structure of the draft version of the textbook 'Media and Information Life' developed in 2019-2020 were analyzed. The analysis results are as follows. the information literacy education textbook applied the information problem solving process model and contained the contents of print, and digital media and the media literacy necessary for democratic citizens, but it was necessary to add the types of libraries and media in sequence. Second, library, media, information, and reading literacy were major learning elements that made up the contents of the information literacy curriculum. Third, the "media and information life" textbook needed to present subject competencies, generalized knowledge, content system, and achievement standards in accordance with the system of the 2015 revised curriculum. In addition, social discussion was needed to derive the name of the information literacy curriculum.

• Korean Medical Education Review
• /
• v.23 no.1
• /
• pp.56-67
• /
• 2021

Educational program evaluation can improve the quality of the curriculum, instructional methods, and resources and provide useful data for making educational decisions and policies. Developing and implementing a program evaluation system is essential in competency-based medical education. The purpose of this study was to explore and establish an educational program evaluation system adapting an integrated program evaluation model to promote competency-based medical education. First, an Educational Evaluation Committee was organized, consisting of faculty, staff members, and students. The committee established an integrated program evaluation model, combining Stufflebeam's Context, Input, Process, and Product (CIPP) model of a process-oriented approach and Kirkpatrick's four-level model of an outcome-oriented approach. Kirkpatrick's model was applied to the product evaluation of the CIPP model. The committee then developed evaluation criteria, indicators, and data collection methods according to the components of the CIPP model and the four levels (reaction, learning, behavior, and results) of Kirkpatrick's model, and collected and analyzed data. Finally, the committee reported the results of evaluation to a Medical Education Quality Improvement Committee, and the results were used to improve the curriculum and student selection. To enhance the quality of education, identifying educational deficiencies and developing various elements of education in a balanced way through educational evaluation will be needed. Furthermore, it will be necessary to listen to opinions of various stakeholders, work with all members involved in education, and communicate with decision-makers in the process of educational evaluation.

• Journal of Convergence for Information Technology
• /
• v.12 no.1
• /
• pp.83-90
• /
• 2022

In order for effective informatics education it is premisd that students have digital literacy. But the absence of informatics education for about 10 years has make students have low digital literacy, and as a result, there are many voices in the school field that it is difficult to have a smooth class. Therefore in this study, the elements of digital literacy required to efficiently operate the 2015 middle school informatics curriculum and digital literacy of middle school students was analyzed. As a result, the students showed biased use of the computing devices and software the frequently use. They were inexperienced in using hardware necessary for learning, understanding basic terms for online collaboration, understanding operating systems, information searching, and producing documents. This study is meaningful in that it provides basic data that serves as a guideline for the direction of digital literacy education for effective informatics education.

• The Journal of the Korea Contents Association
• /
• v.22 no.7
• /
• pp.202-215
• /
• 2022

The purpose of this study is to identify gamification techniques and characteristics of digital marketing based on the main information communication, learning, and play of the current consumer group, and to present effective gamification digital marketing plans for the MZ generation. The summary of the research process is as follows. First, the characteristics and definitions of MZ generation and gamification were described and the concept was clarified. Second, domestic and foreign gamification cases were compared and analyzed. Studies show that we should be wary of gamification digital marketing, which fails to reflect the characteristics of the fun-seeking MZ generation by failing to organically connect the mechanisms and structures of gamification, focusing only on visible elements, such as Point, Badge, and Leaderboard. In addition, customers who lose the fun of obtaining rewards and leave because they feel that the rewards (points, badges, leaderboards) they provide are worthless should be prevented.

• Journal of Software Assessment and Valuation
• /
• v.17 no.1
• /
• pp.67-73
• /
• 2021

In this paper, a system configuration method that can practice Linux-based programming language online is presented. The proposed system utilizes the web-server function, which is the biggest feature of the Linux operating system, and simulates the telnet and FTP functions without firewalls or other security restrictions, so that it is possible to practice similar to the actual Linux console. To do this, we analyzed the functional elements that a programming tool should have on the web and established an algorithm to implement it. In particular, a method was implemented in which an error message caused by a user's mistake can appear in the same form as the actual telnet screen. As a result of using the implemented learning system in the class for students, it is possible to practice the Linux programming language online, as well as the instructor can directly check and guide all the learners, so the learner's satisfaction is similar to that of the offline class was confirmed.

• Journal of the Korea Society of Computer and Information
• /
• v.26 no.4
• /
• pp.213-221
• /
• 2021

In this paper, we suggest the Deep Neural Network Model System for predicting results of the match of 'League of Legends (LOL).' The model utilized approximately 26,000 matches of the LOL game and Keras of Tensorflow. It performed an accuracy of 93.75% without overfitting disadvantage in predicting the '2020 League of Legends Worlds Championship' utilizing the real data in the middle of the game. It employed functions of Sigmoid, Relu and Logcosh, for better performance. The experiments found that the four variables largely affected the accuracy of predicting the match --- 'Dragon Gap', 'Level Gap', 'Blue Rift Heralds', and 'Tower Kills Gap,' and ordinary users can also use the model to help develop game strategies by focusing on four elements. Furthermore, the model can be applied to predicting the match of E-sports professional leagues around the world and to the useful training indicators for professional teams, contributing to vitalization of E-sports.