• Title/Summary/Keyword: SW.AI Convergence Education

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Design and Implementation of ELAS in AI education (Experiential K-12 AI education Learning Assessment System)

  • Moon, Seok-Jae;Lee, Kibbm
    • International Journal of Advanced Culture Technology
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    • v.10 no.2
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    • pp.62-68
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    • 2022
  • Evaluation as learning is important for the learner competency test, and the applicable method is studied. Assessment is the role of diagnosing the current learner's status and facilitating learning through appropriate feedback. The system is insufficient to enable process-oriented evaluation in small educational institute. Focusing on becoming familiar with the AI through experience can end up simply learning how to use the tools or just playing with them rather than achieving ultimate goals of AI education. In a previous study, the experience way of AI education with PLAY model was proposed, but the assessment stage is insufficient. In this paper, we propose ELAS (Experiential K-12 AI education Learning Assessment System) for small educational institute. In order to apply the Assessment factor in in this system, the AI-factor is selected by researching the goals of the current SW education and AI education. The proposed system consists of 4 modules as Assessment-factor agent, Self-assessment agent, Question-bank agent and Assessment -analysis agent. Self-assessment learning is a powerful mechanism for improving learning for students. ELAS is extended with the experiential way of AI education model of previous study, and the teacher designs the assessment through the ELAS system. ELAS enables teachers of small institutes to automate analysis and manage data accumulation following their learning purpose. With this, it is possible to adjust the learning difficulty in curriculum design to make better for your purpose.

A Case Study of Educational Effectiveness by Software Subjects for Humanities College Students

  • Seo, Joo-Young;Shin, Seung-Hun
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.9
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    • pp.267-277
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    • 2022
  • Recently, the topics of SW liberal-arts education are diversifying, from 'Computational Thinking(CT)' to 'Programming, Data Analysis and Artificial Intelligence(AI)' in universities. We expect that the diversification of SW liberal-arts subjects does not just mean that the learning contents are different, but also differentiates the educational goals and educational effects of each subject. In this paper, we conducted a case study to analyze the educational effect according to the educational goals of two SW liberal-arts subjects, CT and Data Analysis Fundamentals(DA), for humanities college students. We confirmed that the educational effect of 'CT Efficacy' increased significantly in accordance with the common educational goal of 'Improving CT-based SW convergence competency' in both subjects. However, we also analyzed the difference in the educational effects of 'CT(the goal of basic SW education)' and 'DA(the goal of major-friendly SW education)', which have different subject goals. 'CT' mainly showed an educational effect on how to solve general daily problems, and 'DA' showed confidence in how to solve major problems along with general problems.

Development and Application of Artificial Intelligence Education Program for Secondary School Students using Self-Driving Cars (자율주행 자동차를 이용한 중등 학생 대상 인공지능 교육 프로그램 개발 및 적용)

  • Ryu, Hyein;Lee, Jeonghun;Cho, Jungwon
    • Journal of Digital Convergence
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    • v.19 no.7
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    • pp.227-236
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    • 2021
  • This study aims to develop an AI education program for secondary school students to help understand AI and to provide an experience of solving real-life problems by using AI, and to analyze the effectiveness of education. The education program based on the AI education system for K-12 developed in the previous study was composed of a total of 12 lessons by selecting the self-driving cars, which is emerging as a recent issue among real life problems, as the main topic. Classes were conducted for secondary school students who had experience in software education, and the effectiveness of education and class satisfaction were analyzed. As a result of the analysis, it was confirmed that the understanding of AI and the sense of AI efficacy were improved, and the class satisfaction was high in all items such as educational content, fun in class, difficulty of class, and interest in AI. Based on these results, implications for AI education for secondary students were proposed.

Convergence Education Program Using Smart Farm for Artificial Intelligence Education of Elementary School Students (초등학생 대상의 인공지능교육을 위한 스마트팜 활용 융합교육 프로그램)

  • Kim, Jung-Hoon;Moon, Seong-Hwan
    • Journal of the Korea Convergence Society
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    • v.12 no.10
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    • pp.203-210
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    • 2021
  • This study was conducted to develop a convergence education program using smart farms with both input data(temperature, humidity, etc.) and output data(vegetables, fruits, etc.) that are easily accessible in everyday life so that elementary school students can intuitively and easily understand the principles of artificial intelligence(AI) learning. In order to develop this program, we conducted a prior study analysis of a horticulture, software, robot units in the 2015 Practical Arts curriculum and artificial intelligence education. Based on this, 13 components and 16 achievement criteria were selected, and AI programs of 4 sessions(a total of 8 hours). This program can be used as a reference when developing various teaching materials for artificial intelligence education in the future.

Design of Elementary, Middle and High School SW·AI-based Learning Platform in IoT Environment (사물인터넷 환경에서의 초·중·고 SW·AI기반 학습 플랫폼 설계)

  • Keun-Ho Lee
    • Journal of Internet of Things and Convergence
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    • v.9 no.1
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    • pp.117-123
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    • 2023
  • While applying new digital technologies, interest in software and artificial intelligence is quite high. In particular, many changes are being made for the development of software and artificial intelligence in the field of education. From 2025, software and artificial intelligence-related curricula will be applied to public education in elementary, middle and high schools. The Ministry of Education is also conducting various camps to experience software and artificial intelligence in various ways in elementary, middle and high schools before they are applied to public education. Several platforms for experience camps related to software and artificial intelligence are also being used. In this study, we intend to increase the educational efficiency of the learning method for software and artificial intelligence to be developed in the future by designing a model for software and artificial intelligence experiential learning platforms.

Information Domain Curriculum Composition Direction in Subject-Centered Curriculum (교과중심 교육과정에서의 정보영역 교육과정 구성 방향)

  • Shin, Soo-Bum;Han, Kyu-Jung;Go, Byung-Oh
    • Journal of The Korean Association of Information Education
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    • v.25 no.2
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    • pp.309-315
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    • 2021
  • This study is about the direction of how to compose the information domain curriculum in the domestic subject matter centered curriculum system. To this end, subject-centered and competency-centered curriculum were compared and analyzed, and how the information domain was organized in two types was suggested. In spite of emphasizing competency, the domestic curriculum was judged to be inclined to the subject-centered curriculum because it emphasized the presentation of national-level educational goals, a subject learning model, and textbooks. As examples of the information domain subject-centered curriculum, the information domain of the elementary practical subject and the middle school information curriculum were presented, and the SW convergence curriculum was presented as an example of a progressive curriculum. Under such circumstances, it was emphasized that in order for the learner to lead a life in an intelligent society in the future through the information domain including SWAI content, it must be explicitly described in a subject-centered perspective with computer science as the parent study.

Analysis of the Current Status of the AI Major Curriculum at Universities Based on Standard of AI Curriculum

  • Kim, Han Sung;Kim, Doohyun;Kim, Sang Il;Lee, Won Joo
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.3
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    • pp.25-31
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    • 2022
  • The purpose of this study is to explore the implications for the systematic operation of the AI curriculum by analyzing the current status of the AI major curriculum in universities. To this end, This study analyzed the relevant curriculum of domestic universities(a total of 51 schools) and overseas QS Top 10 universities based on the industry demand-based standard of AI major curriculum developed through prior research. The main research results are as follows. First, in the case of domestic universities, Python-centered programming subjects were lacking. Second, there were few subjects for advanced learning such as AI application and convergence. Third, the subjects required to perform the AI developer job were insufficient. Fourth, in the case of colleges, the ratio of AI mathematics-related subjects was low. Based on these results, this study presented implications for the systematic operation of the AI major education.

A Study on the Value of Archival Contents in University Practical Education : Focusing on University-Industry Cooperation for SW Practical Education (대학 실습 교육용 기록정보콘텐츠 가치 연구 : 산학연계형 SW실습교육을 중심으로)

  • SUN A LEE;SE JONG OH
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.2
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    • pp.537-545
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    • 2024
  • The importance of University Archives Management is increasing. In this study, we researched cases of collecting and managing educational archival contents in universities. Developed archival contents for software practical education, and implemented it to the Capstone Design course and overseas program. The effect of applying the model was analyzed through surveys and interviews. The Capstone Design Survey, involving 349 participants, indicated the highest satisfaction with the University-Industry Cooperation type. The experience of dissemination and enhancement was aggregated as the second highest satisfaction. In the second survey, 62 students who had participated in the overseas program over the span of two years took part. All nine Likert-type questions showed high satisfaction scores of more than 4 points. The top three satisfaction factors-content, program type, and advanced experience-showed high satisfaction scores of 4.85, 4.74, and 4.71, respectively. Through interviews with professors, mentors, and students, it was also confirmed that instructional methods utilizing archival contents are effective. And the model we developed is applicable for convergence education.

Design and Implementation of Physical Computing Education Content based on Augmented Reality

  • Kim, So-Young;Jung, Eunmi;Kim, Heesun
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.198-205
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    • 2022
  • Along with a variety of coding education, physical computing education for controlling various sensors is being actively conducted for elementary, middle, and high school students in line with the era of the fourth industrial revolution. A problem with physical computing education using Arduino is pin connection errors between Arduino and various sensors. Most of the students who come into contact with the Arduino for the first time often do not know the purpose of the Arduino pin and the connection position of the pin. Also, hardware built with incorrect pin connections to the Arduino board often does not work properly. If this case continues, students will lose interest in coding education. Therefore, in this paper, we implemented an augmented reality application that informs the connection process of the Arduino board and the sensor during physical computing coding education using Arduino, and designed and implemented educational content for the Arduino pin position and connection process. First, we explain the role of the Arduino board and the sensor and the location of the pins. After that, the students run the educational augmented reality educational content using their smartphones and check the correct pin connection process between the Arduino and the sensor. In the physical computing education, augmented reality content is used to increase the understanding and immersion of the class. It is expected that the educational effect will also increase by inducing fun and interest in physical computing coding education.

A Method on Associated Document Recommendation with Word Correlation Weights (단어 연관성 가중치를 적용한 연관 문서 추천 방법)

  • Kim, Seonmi;Na, InSeop;Shin, Juhyun
    • Journal of Korea Multimedia Society
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    • v.22 no.2
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    • pp.250-259
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    • 2019
  • Big data processing technology and artificial intelligence (AI) are increasingly attracting attention. Natural language processing is an important research area of artificial intelligence. In this paper, we use Korean news articles to extract topic distributions in documents and word distribution vectors in topics through LDA-based Topic Modeling. Then, we use Word2vec to vector words, and generate a weight matrix to derive the relevance SCORE considering the semantic relationship between the words. We propose a way to recommend documents in order of high score.