• Title/Summary/Keyword: AI Education Program

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Pre-service Teachers' Education Needs for AI-Based Education Competency

  • Mingyeong JANG;Hyeon Woo LEE
    • Educational Technology International
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    • v.24 no.2
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    • pp.143-168
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    • 2023
  • This study aims to analyze the perceptions and educational needs of pre-service teachers for the use of Artificial Intelligence (AI) in education. To this end, we collected survey data from 25 undergraduate students who were enrolled in a teacher education college in Seoul. The purpose of the survey was to measure the importance and current performance for instructional AI use based on the technological, pedagogical, and content knowledge (TPACK) framework, and to explore the priority of educational needs using Borich's needs analysis and the Locus for Focus model. The results of the study confirmed that Ethics and TPK competencies are prioritized. Additionally, the results indicated a high demand for practical knowledge that can be implemented in the practice of education. Based on the results, it is necessary to develop a teacher education program that focuses on ethical aspects and teaching strategy competencies in AI-based education.

Development of the Artificial Intelligence Literacy Education Program for Preservice Secondary Teachers (예비 중등교사를 위한 인공지능 리터러시 교육 프로그램 개발)

  • Bong Seok Jang
    • Journal of Practical Engineering Education
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    • v.16 no.1_spc
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    • pp.65-70
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    • 2024
  • As the interest in AI education grows, researchers have made efforts to implement AI education programs. However, research targeting pre-service teachers has been limited thus far. Therefore, this study was conducted to develop an AI literacy education program for preservice secondary teachers. The research results revealed that the weekly topics included the definition and applications of AI, analysis of intelligent agents, the importance of data, understanding machine learning, hands-on exercises on prediction and classification, hands-on exercises on clustering and classification, hands-on exercises on unstructured data, understanding deep learning, application of deep learning algorithms, fairness, transparency, accountability, safety, and social integration. Through this research, it is hoped that AI literacy education programs for preservice teachers will be expanded. In the future, it is anticipated that follow-up studies will be conducted to implement relevant education in teacher training institutions and analyze its effectiveness.

Development and application of supervised learning-centered machine learning education program using micro:bit (마이크로비트를 활용한 지도학습 중심의 머신러닝 교육 프로그램의 개발과 적용)

  • Lee, Hyunguk;Yoo, Inhwan
    • Journal of The Korean Association of Information Education
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    • v.25 no.6
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    • pp.995-1003
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    • 2021
  • As the need for artificial intelligence (AI) education, which will become the core of the upcoming intelligent information society rises, the national level is also focusing attention by including artificial intelligence-related content in the curriculum. In this study, the PASPA education program was presented to enhance students' creative problem-solving ability in the process of solving problems in daily life through supervised machine learning. And Micro:bit, a physical computing tool, was used to enhance the learning effect. The teaching and learning process applied to the PASPA education program consists of five steps: Problem Recoginition, Argument, Setting data standard, Programming, Application and evaluation. As a result of applying this educational program to students, it was confirmed that the creative problem-solving ability improved, and it was confirmed that there was a significant difference in knowledge and thinking in specific areas and critical and logical thinking in detailed areas.

A Case Study of the Use of Artificial Intelligence in a Problem-Based Learning Program for the Prevention of School Violence (학교폭력 예방을 위한 가정과 AI 기반 문제중심학습 수업 사례연구)

  • Jae Young Shim;Saeeun Choi
    • Human Ecology Research
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    • v.61 no.1
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    • pp.15-28
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    • 2023
  • The aim of this study was to develop, implement, and evaluate the use of Artificial Intelligence in the prevention of violence among middle-school students. The sample for this study consisted of 20 first-year middle-school students who participated in theme selection activities in a free semester program as part of their home economics studies. The data for the study consisted of nine class observation logs, four group activity outputs, 30 class results, an online survey, and in-depth interviews with three students. A program called "R.U.OK" was developed by setting problematic situation for school violence prevention linked to the contents of the Home Economics Education(HEE) curriculum. After the program was implemented, the survey on the students' class satisfaction content elements, with AI-based learning activities and PBL and interest, displayed high points, with an average of 4.0 or higher. Our qualitative analysis produced four significant results. First, students' concerns about school violence had increased and they showed a change in attitude, having more empathy with friends and more interest in their surroundings. Second, digital and AI literacy had improved, and students' interest in digital media learning had increased. Third, there had been an improvement in problem-solving ability in terms of being able to think more critically and independently. Fourth, the results also demonstrated that there had been a positive effect on self-direction and an improved capacity for teamwork. This study was significant in demonstrating the effectiveness of a program for the prevention of school violence based on the use of digital technology in the educational environment.

Development of Artificial Intelligence Education based Convergence Education Program for Classifying of Reptiles and Amphibians (파충류와 양서류 분류를 위한 인공지능 교육 기반의 융합 교육 프로그램 개발)

  • Yi, Soyul;Lee, YoungJun
    • Journal of Convergence for Information Technology
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    • v.11 no.12
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    • pp.168-175
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    • 2021
  • In this study, a transdisciplinary convergence education program was developed to enhance the understanding for classification of reptiles and amphibians in biology education and also to increase AI (Artificial Intelligence) capability by using artificial intelligence education. The main content is to solve the classification of reptiles and amphibians that has been dealt with for a long time in biology education, using a decision tree and ML4K (Machine Learnig for Kids), it was designed for a total of 3 lessons. Experts review was conducted on the developed education program, as a result, the I-CVI(Item Content Validity Index) value was .88~1.00 so that can secure content validity. This education program has the advantage of being able to simultaneously learn about the learning contents of artificial intelligence in informatics and the classification of vertebrates in the biological education. In addition, since it is configured to minimize the cognitive load in the AI using part, it is characterized by the fact that all of any teachers can apply it their lesson easily.

The Effect of AI Experience Program Using Teachable Machine on AI Perception of Elementary School Students (Teachable machine을 활용한 인공지능 체험 프로그램이 초등학생의 인공지능 인식에 미치는 영향)

  • Lee, Seung-mee;Chun, Seok-Ju
    • Journal of The Korean Association of Information Education
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    • v.25 no.4
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    • pp.611-619
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    • 2021
  • Artificial intelligence is at the heart of the Fourth Industrial Revolution. Education must change in order to develop the capabilities necessary for future AI-based societies. This study developed and applied artificial intelligence experience classes using Teachable machine to elementary school students, and analyzed changes in artificial intelligence understanding and interest among students. Among the 10 artificial intelligence classes, 4 classes used various artificial intelligence education platforms, and 6 classes focused on Teachable machines. Before and after the application of the program, students' interest and understanding in artificial intelligence were examined. Quantitative and qualitative studies were conducted together. Studies have shown that both students' interest and understanding of artificial intelligence has improved since the application of the program. Furthermore, based on the findings, we propose a follow-up study for the development of artificial intelligence training programs.

An Educational Program against Digital Drama using Artificial Intelligence

  • Choi, Eunsun;Park, Namje
    • International Journal of Advanced Culture Technology
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    • v.10 no.1
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    • pp.36-41
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    • 2022
  • Cyberbullying and digital drama are on the rise among students. Therefore, this paper proposes an educational program that can enhance students' ability to use artificial intelligence(AI) technology and develop the power to respond to digital drama. In order to understand the effect of the proposed education program, this education was applied on a trial basis to 205 middle school students residing in South Korea. Moreover, the change of coping ability to the digital drama was observed before and after education. After applying for the educational program, the students' empathy(t=-5.506, p<0.001), peer conflict resolution(t=-3.842, p<0.01), and peer mediation(t=-4.213, p<0.001) improved, and did not significantly affect their anger control ability(t=-0.272, p>0.05). The educational program proposed in this paper uses AI to make it more attractive for students familiar with digital devices to participate in education and increase their educational concentration. This paper has its limitations as it is a study only for middle school students in South Korea. However, it is significant that the educational program proposed in this paper prevented the recently increased digital drama and led to a crucial change in coping ability.

Analysis of Effects of Convergence Education Program about State Classification of the Matters using Machine Learning for Pre-service Teachers (예비교사를 위한 머신러닝 활용 물질의 상태 분류에 대한 융합교육 프로그램의 효과 분석)

  • Yi, Soyul;Lee, YoungJun;Paik, Sung-Hey
    • Journal of Convergence for Information Technology
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    • v.12 no.5
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    • pp.139-149
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    • 2022
  • The purpose of this study is to develop and analyze the effects of an educational program that can cultivate artificial intelligence(AI) convergence education competency for future education and enhance students' understanding of pre-service teachers. For this end, an AI convergence education program using Machine Learning for Kids and Scratch 3 was developed for 15 weeks under the theme of classifying the state of matter. The developed program were treated by K University pre-service teachers who participated voluntarily. As a result, pre-service teachers were able to metaphorically understand the learning process of students through understanding of machine learning training process. In addition, the pre-post t-test result of AI teaching efficacy showed a statistically significant improvement with t=-7.137 (p<.000). Therefore, it is suggested that the AI convergence education program developed in this study can help to increase the understanding of the pre-service teacher's students in an indirect way other than practice teaching, and can contribute to foster AI education competency.

An Artificial Intelligence Education Program Development and Application for Elementary Teachers (초등 교사들을 위한 인공지능 교육 프로그램 개발 및 적용)

  • Kim, Kapsu
    • Journal of The Korean Association of Information Education
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    • v.23 no.6
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    • pp.629-637
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    • 2019
  • Rapid changes in the knowledge and information society of the 21st century should be embraced and applied to teachers. Since artificial intelligence(AI) is an important axis of rapid change, artificial intelligence education should be started from elementary school. This change requires elementary school teachers to have basic skills for AI education. In this study, an AI education program for elementary school teachers is developed. This development consists of three stages, the first stage is the understanding of artificial intelligence, the second stage is the understanding and application of artificial intelligence tools, and the final stage is the creation and application of artificial intelligence programs. 15 elementary school teachers were tested. The result of this study will be a useful educational program for teachers in charge of AI education in elementary school students.

An Investigation Into the Effects of AI-Based Chemistry I Class Using Classification Models (분류 모델을 활용한 AI 기반 화학 I 수업의 효과에 대한 연구)

  • Heesun Yang;Seonghyeok Ahn;Seung-Hyun Kim;Seong-Joo Kang
    • Journal of the Korean Chemical Society
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    • v.68 no.3
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    • pp.160-175
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    • 2024
  • The purpose of this study is to examine the effects of a Chemistry I class based on an artificial intelligence (AI) classification model. To achieve this, the research investigated the development and application of a class utilizing an AI classification model in Chemistry I classes conducted at D High School in Gyeongbuk during the first semester of 2023. After selecting the curriculum content and AI tools, and determining the curriculum-AI integration education model as well as AI hardware and software, we developed detailed activities for the program and applied them in actual classes. Following the implementation of the classes, it was confirmed that students' self-efficacy improved in three aspects: chemistry concept formation, AI value perception, and AI-based maker competency. Specifically, the chemistry classes based on text and image classification models had a positive impact on students' self-efficacy for chemistry concept formation, enhanced students' perception of AI value and interest, and contributed to improving students' AI and physical computing abilities. These results demonstrate the positive impact of the Chemistry I class based on an AI classification model on students, providing evidence of its utility in educational settings.