• Proceedings of the Korea Information Processing Society Conference
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• 2018.10a
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• pp.319-320
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• 2018

4차 산업혁명 시대에 걸맞은 미래 인재양성을 위해 Computational Thinking (CT) 향상을 위한 교육에 대한 관심이 높아지고 있다. 더불어 비전공자 학생들을 대상으로 하는 컴퓨팅 교육이 확산되어 진행되고 있다. 그러나 많은 비전공 학습자들이 CT 교육 학습 과정에 어려움을 느끼고 있다. 이에 본 논문에서는 CT 교육 학습 과정에 도구를 활용한 학습 방법으로 이를 해결하고자 하였다.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.305-312
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• 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
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• v.25 no.2
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• pp.423-436
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• 2021

In the future, artificial intelligence (AI) technology is expected to become a general-purpose technology (GPT), and it is predicted that AI competency will become an essential competency. Several nations around the world are fostering experts in the field of AI to achieve technological proficiency while working to develop the necessary infrastructure and educational environment. In this study, we investigated the status of software education at the liberal arts level at 31 universities in Seoul, along with precedents from domestic and foreign AI education research. Based on this, we concluded that an AI literacy education model is needed to link software education at the liberal arts level with professional AI education. And we classified 20 AI-related lectures released in the KOCW according to the AI literacy competencies required; based on the results of this classification, we propose a model for AI literacy education in the liberal arts for undergraduate students. The proposed AI literacy education model may be considered as AI·SW convergence to experience AI along with literacy in the humanities, deviating from the existing theoretical and computer-science-based approach. We expect that our proposed AI literacy education model can contribute to the proliferation of AI.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.381-388
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• 2023

Through artificial neural network education using spreadsheets, non-major undergraduate students can understand the operation principle of artificial neural networks and develop their own artificial neural network software. Here, training of the operation principle of artificial neural networks starts with the generation of training data and the assignment of correct answer labels. Then, the output value calculated from the firing and activation function of the artificial neuron, the parameters of the input layer, hidden layer, and output layer is learned. Finally, learning the process of calculating the error between the correct label of each initially defined training data and the output value calculated by the artificial neural network, and learning the process of calculating the parameters of the input layer, hidden layer, and output layer that minimize the total sum of squared errors. Training on the operation principles of artificial neural networks using a spreadsheet was conducted for undergraduate non-major students. And image training data and basic artificial neural network development results were collected. In this paper, we analyzed the results of collecting two types of training data and the corresponding artificial neural network SW with small 12-pixel images, and presented methods and execution results of using the collected training data for Orange machine learning model learning and analysis tools.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.105-114
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• 2024

Recently, with an emphasis on software proficiency, universities are providing software education to all students regardless of their majors. However, non-majors often lack motivation for software education and perceive the unfamiliar learning content as more challenging. To address this issue, tailored software education according to the learners' characteristics is essential. Art students, for instance, with their strong visual comprehension and expressive abilities, can benefit from utilizing visual literacy to enhance the effectiveness of programming education. In this study, we propose decomposing everyday problems into flowcharts and pseudocode to construct procedural and visual images. Using the educational programming language PlayBot, we aim to analyze the effectiveness of teaching by coding to solve problems. Through this approach, students are expected to grasp programming concepts, understand problem-solving processes through computational thinking, and acquire skills to apply programming in their respective fields.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.355-356
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• 2022

본 연구는 IT 비전공 대학생을 위한 코딩교과목 개발을 목표로 한다. 이를 위해 선행연구 및 이론탐색을 통해 대학교양 교과목으로서 코딩교육을 탐색하고, 적용 가능한 수업모형 및 교육내용을 선정하여 기초내용을 구성한 후 3인의 교육공학 전문가와 3인의 코딩교과목 개발 유경험 대학교수를 대상으로 FGI 인터뷰 방법을 통하여 연구결과를 도출한다. 대학교양 교과목으로서 코딩교육의 필요성이 대두되고 있음에도 불구하고 현재 운영 중인 코딩교과목은 프로그래밍이 중심으로 구성되어 비전공 대학생들에게는 환영받지 못하고 있다. 이에 본 연구에서는 코딩교과목의 방향을 컴퓨팅사고 및 SW 기초교육을 목표로 메타버스 등의 플랫폼을 활용한 체험중심 수업설계를 통해, 실행 가능한 수업모형을 개발하고 대상자 인터뷰와 분석을 통해 이를 위한 교수학습방법을 설정할 것이다. 본 연구를 통해 제시될 메타버스 플랫폼을 활용한 체험중심 코딩교육은 이후 고등교육기관의 교딩교육 교과목 개발을 위한 기초자료로 활용될 것이다