• International journal of advanced smart convergence
• /
• v.10 no.2
• /
• pp.201-208
• /
• 2021

Recently, artificial intelligence(AI) has been used throughout society, and social interest in it is increasing. Accordingly, the necessity of AI education is becoming a big topic in the education field. As a response to this trend, the Korean education authorities have also announced plans for AI education, and various studies have been performed in academic field to revitalize AI education in the future. However, the curriculum research on what differentiates AI education from existing SW education and what and how to train AI is still in its infancy. In this paper, Therefore, we focused on the experiences of elementary school students in solving problems in their own lives, and developed a teaching-learning model based on design-based research so that students can design a problem-solving process and experience the process of feedback. We applied the developed teaching-learning model to the problem-solving process and confirmed that it increased students' understanding and satisfaction with AI education.

• Journal of Korea Multimedia Society
• /
• v.22 no.4
• /
• pp.472-479
• /
• 2019

Today, computational thinking takes an important role in problem solving in software education. As a result, software education as liberal arts for non-CS major students is rapidly expanding. It is necessary to study the effects of computational thinking on software problem solving ability compared to traditional programming language education. In this paper, we propose an evaluation model for analyzing the effects of computational thinking on the overall software development process, and analyze how the problem solving process is different for learners who take computing thinking classes and programming language courses as liberal arts courses. As a result, students who learned computational thinking showed higher ability in problem analysis and design process.

• Journal of Information Technology Applications and Management
• /
• v.27 no.4
• /
• pp.49-62
• /
• 2020

In this study, the research model of VR·AR contents convergence education for solving social problems was presented after benchmarking the domestic and foreign realistic educational contents industry and policy trends and Fishbone diagram analysis. The goal was to create VR·AR content convergence talent for co-prosperity in the era of the fourth industrial revolution, and the target of education was students, researchers, and business personnel who are interested in VR AR technology education and contents business such as game animation, etc. The education model is based on understanding about storytelling of the socially disadvantaged, such as children and the elderly, and is technology education for content production including the application of virtual and augmented reality SW, and is a convergence education for content planning and business model strategy development.

• Journal of The Korean Association of Information Education
• /
• v.24 no.5
• /
• pp.511-518
• /
• 2020

Preparing for the Fourth Industrial Revolution and Corona-19, our education is expanding a new chapter of learning to the era of AI education that incorporates software technology beyond software education. In this study, we will analyze the case of learner-centered assessment in software education and examine the assessment direction of artificial intelligence education through its effectiveness. Through the case of applying learner-centered assessment to non-computer subjects including computer subjects, we sought the effects on learners' learning, environmental conditions and assessment models of learner-centered evaluation, and through the case of applying the learner-centered assessment model to software education, we wanted to find out what the learner-centered assessment in artificial intelligence education suggests to the educational site. According to the analysis, the learner-centered assessment had a significant effect on the learner's achievement goal, and it is expected that the learner-centered assessment in artificial intelligence education will be carried out smoothly when an objective evaluation system and objective evaluation model are designed to help the learner's assessment, building digital environment conditions based on intelligent information technology.

• Journal of The Korean Association of Information Education
• /
• v.22 no.2
• /
• pp.231-238
• /
• 2018

Software education has started as a compulsary subject or part in elementary, middle and high school, but there is a limitation for using the physical computing toolkit and instructional guidelines that teacher can use. The purpose of this study is to propose a computing education program using a physical computing toolkit called the Micro:bit. The novel instructional model is called "MDIAP" which consists of five stages : Motivation, Demonstration, Imitation, Application, Presentation. Instructional process is presented in spiral, consisting of basic micro-bit sensors, and maker's learning using additional sensors and actuators. This study will help students to enhance creative computational thinking through the MDIAP instructional activities.

• Journal of Practical Engineering Education
• /
• v.9 no.2
• /
• pp.107-117
• /
• 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
• /
• v.14 no.2
• /
• pp.305-312
• /
• 2022

In this paper, we focused on training to create and optimize a basic data prediction model. And we proposed a gradient descent training method of machine learning that is widely used to optimize data prediction models. It visually shows the entire operation process of gradient descent used in the process of optimizing parameter values required for data prediction models by applying the differential method and teaches the effective use of mathematical differentiation in machine learning. In order to visually explain the entire operation process of gradient descent, we implement gradient descent SW in a spreadsheet. In this paper, first, a two-variable gradient descent training method is presented, and the accuracy of the two-variable data prediction model is verified by comparison with the error least squares method. Second, a three-variable gradient descent training method is presented and the accuracy of a three-variable data prediction model is verified. Afterwards, the direction of the optimization practice for gradient descent was presented, and the educational effect of the proposed gradient descent method was analyzed through the results of satisfaction with education for non-majors.

• Journal of The Korean Association of Information Education
• /
• v.23 no.2
• /
• pp.179-188
• /
• 2019

The purpose of this study is to develop a Python search algorithm educational program based on execution time to improve the logical thinking of elementary school students. This educational program was developed based on the process of ADDIE model, utilizing the results of pre-demand analysis conducted for 133students in elementary school in ${\bigcirc}{\bigcirc}$. In order to verify the effectiveness of the developed education program, 25 students who participated in the education donation program at ${\bigcirc}{\bigcirc}$ University conducted 42 hours of classes during 6 days. The GALT test was used to analyze the educational effects of the pre- and post-test. The results of the analysis show that the SW education program developed in this study can positively affect the logic of elementary school students.

• Journal of Creative Information Culture
• /
• v.7 no.4
• /
• pp.197-206
• /
• 2021

This study is a case of convergence education using the AI model of entry in elementary schools. The subject is English, and the class was conducted based on the image learning model among the convergence activities with the art department drawing and the AI model of the entry. In order to effectively achieve the learning goals of speaking and writing in English education. The class was designed by combining art and SW. Students experienced communication using AI, improved confidence, and were able to improve creativity and communication skills by expressing not only listening and speaking but also expressing through various media such as pictures and photos. In addition, in order to find out the effectiveness of the class, a survey was conducted on students and the results were analyzed. As a result of the analysis, it was found that it had a positive effect on students' participation rate, degree of understanding AI after class, interest in AI, satisfaction with AI classes.

• Journal of the Korea Society of Computer and Information
• /
• v.24 no.1
• /
• pp.239-246
• /
• 2019

In this paper, we propose an effective software education donation model for the social care class. The types of software education for elementary, middle, and high school for the social care class are in the order of after school classes, club activities, creative experiences, and regular classes. In elementary school students, it is effective to precede visual programming education based on block coding and to conduct curriculum convergence with SW and HW at the beginning, and high school students are carrying out text programming education like Python. Software education for social care class The contribution activity model can be classified into five types such as geographically difficult area, multicultural family areas, orphanage, reformatory, and basic livelihood security recipient. In addition, the survey results show that the students' interest in software education and their satisfaction are all very high at 96%. Effective software education for the social care class In the donation model, the lecturers consist of responsible professors, lecturers, and assistant instructors. Software training for the social care class is effective on a year-by-year basis, so that students can feel authenticity and trust. Software education contents focus on visual programming and physical computing education in elementary or middle school, and text programming and physical computing education in high school. It is necessary to construct a software education donor matching system that helps efficient management of software education donations by efficiently matching schools (consumers: elementary, middle, high school) and software education donors(suppliers).