• Journal of The Korean Association of Information Education
• /
• v.21 no.3
• /
• pp.277-284
• /
• 2017

Software Education will be implemented at elementary, middle and high schools starting in 2018. The goal of software education is to help students develop Computational thinking skills. Especially, using robots in software education increases student interest and helps to increase creativity. In order for software education using robots to be effective, education for teachers should be effective. The development of effective education contents for preliminary teachers can be said to be the success of software education. By the way, effective education can be said to begin with an accurate analysis of the subjects. In order to develop an effective curriculum for preliminary teachers, it is necessary to grasp the level of preliminary teachers who will carry out the software education using robots. Therefore, in this paper, we surveyed the experiences, levels and perceptions of preliminary teachers to help develop software education curriculum using robots.

• Journal of The Korean Association of Information Education
• /
• v.24 no.1
• /
• pp.49-57
• /
• 2020

The society we are living in has being changed to the age of the intelligent information society after passing through the knowledge-based information society in the early 21st century. In this study, we have developed the instructional model for software education based on the machine learning which is a field of artificial intelligence(AI) to enhance the core competencies of learners required in the intelligent information society. This model is focusing on enhancing the core competencies through the process of problem-solving as well as reducing the burden of learning about AI itself. The specific stages of the developed model are consisted of seven levels which are 'Problem Recognition and Analysis', 'Data Collection', 'Data Processing and Feature Extraction', 'ML Model Training and Evaluation', 'ML Programming', 'Application and Problem Solving', and 'Share and Feedback'. As a result of applying the developed model in this study, we were able to observe the positive response about learning from the students and parents. We hope that this research could suggest the future direction of not only the instructional design but also operation of software education program based on machine learning.

• Journal of The Korean Association of Information Education
• /
• v.23 no.6
• /
• pp.583-590
• /
• 2019

The purpose of this study is to develop an educational program for learning deep learning concepts for elementary school students. The model of education program was developed the deep-learning teaching method based on CT element-oriented teaching and learning model. The subject of the developed program is the artificial intelligence image recognition CNN algorithm, and we have developed 9 educational programs. We applied the program over two weeks to sixth graders. Expert validity analysis showed that the minimum CVR value was more than .56. The fitness level of learner level and the level of teacher guidance were less than .80, and the fitness of learning environment and media above .96 was high. The students' satisfaction analysis showed that students gave a positive evaluation of the average of 4.0 or higher on the understanding, benefit, interest, and learning materials of artificial intelligence learning.

• Journal of The Korean Association of Information Education
• /
• v.24 no.6
• /
• pp.529-537
• /
• 2020

Scratch is Educational Programming Language, and it has been widely used in Elementary school SW Education. Many studies show that Scratch education is helpful for students' computational thinking and problem solving. However, the lower grade students use scratch less than the higher grade students, and the higher grade students have difficulty in understanding basic programming principles such as sequence, repetition, and condition. Therefore, in this study, we developed Scratch electronic blocks and programming education curriculum. We had classes for 2nd grade and 6th grade students, and it was confirmed that the score of 2nd grade students' interest about programming increased from 3.28 to 3.58 and 6th grade students' interest increased from 3.41 to 4.09. As a result of the programming basic principles understanding assessment, 84% of the 2nd grade students solved more than 7 of the 9 questions and 62% of the 6th grade students solved more than 7 of the 9 questions.

• Journal of Gifted/Talented Education
• /
• v.24 no.3
• /
• pp.463-477
• /
• 2014

The purpose of this study was to investigate the conceptions toward ICT in students who are currently enrolled in giftedness in invention classes. A total of 147 students at the junior and high school level responded to a 33 item questionnaire. Results show that these students consider ICT as very important and that it will become more important in the future. They also indicated that they frequently use ICT in their studies and also in their work. But a majority of the students considered their level of expertise in the ICT area as 'moderate', and their application of the programs as 'elementary'. Thus it can be assumed that these students did not have enough opportunity to learn ICT related skills. These students also expressed the desire to receive systematic instructions in the ICT area beginning from simple application to program development. The students thought that ICT skills need to be incorporated into the invention education to lead to better inventions. Considering the fact that the ICT area is becoming increasingly important and that Korea is considered a representative country in ICT, the reality of ICT education does not stand up to expectations, and the creative software development capacity is relatively low. Therefore, there is a need to incorporate ICT contents into the education for the giftedness in invention classes, and also to form connections with software development and invention education.

• Journal of The Korean Association of Information Education
• /
• v.22 no.4
• /
• pp.473-489
• /
• 2018

Computer and Information Literacy(CIL) is one of Key Competences in 21st century. Many countries, including Korea, have adopted related contents in their national curriculum for conducting software education. With this movement, many book-type instruction materials for software education have been developed in Korea. However, it is scarce to find researches that evaluate the instruction materials from the perspective of CIL. In this study, we selected 4 instruction materials which were distributed by government with 'SW centered society' web site as well as were developed to teach physical computing for elementary students. Also, we analyzed if they can foster students' CIL. First of all, the evaluation framework was developed based on 'The Manual for Authorized and Approved Textbook' and 'The 2018 ICILS(International Computer and Information Literacy Study) Assessment Framework'. Then, 12 school teachers who have professional insight of software education evaluated the 4 instruction materials with the framework. Averaging the score given by evaluators, we determined that which instruction materials were superior or not. Finally, we figured out the characteristics of superior and inferior instructional materials. Based on the results of this study, we suggested implications for developing instruction materials for physical computing education to build students' CIL.

• Journal of The Korean Association of Information Education
• /
• v.22 no.3
• /
• pp.367-374
• /
• 2018

In order to cultivate the human resources needed in the 4th industrial revolution era, it is necessary to select the gifted students and educate them systematically. Although excellent gifted students are important in a specific field, more convergent talents in the fields of mathematics, science, and information are required. The purpose of this study is to investigate how evaluation factors reflecting the characteristics of information gifted students affect the selection of science gifted students of a university gifted education center. In the characteristics of information gifted students, the cognitive factors such as Rule creation ability, Reasoning ability, Efficiency ability, Generalization ability, Structuring ability and Abstraction ability were highly correlated in selecting the science gifted students. Correlations in the applicants group of students for science gifted education center are higher than those in the first passers group and higher than those in the final successful candidates group. This means that the factors that shows the characteristics of the information gifted have a great influence on the selection of the science gifted.

• Journal of The Korean Association of Information Education
• /
• v.26 no.5
• /
• pp.341-352
• /
• 2022

The wave of a knowledge and information society led by AI, Big Data, and so on is having an all-round impact on our way of life. Therefore the Ministry of Education is in a hurry to strengthen Digital Literacy, including AI and SW Education, by improving the curriculum that can cultivate basic knowledge and capabilities to respond to changes in the future society. It can be seen that establishing a foundation for cultivating Digital Literacy through all subjects and improving basic and in-depth learning in new technology fields such as AI linked to the information curriculum is an essential part for future society. However, research on each content for cultivating Digital and AI literacy is relatively active, while research on teaching and learning strategies is insufficient. Therefore in this study, a CT-based Digital and AI teaching and learning strategy that can foster that was developed and Delphi expert verification was conducted, and the final teaching and learning strategy was completed after evaluating instructor usability and analyzing learner effectiveness.

• Journal of Gifted/Talented Education
• /
• v.25 no.4
• /
• pp.547-563
• /
• 2015

This paper aims at figuring out specific characteristics of affective attitude of gifted and talented in information, predicting follow-up activities and desirable direction of learning. Based on the analysis of this paper as educational directions and suggestions for elementary gifted and talented students in information are as follows: First, in gender ratio of gifted and talented in information, including the fact that ratio of boys is high, there remain the previous prejudice of higher information capability and it seems that girls who depend on external factors, parents and teachers should make more efforts to help girls trust their own capability in information science and lead them to give more value to attribution of efforts for achievement in information science. Second, as grade is higher, motivation to learn information science and attitude for success in information science among sub-elements of attitude to information science, motivation to seed positive recognition to higher graders is required. Third, in screening and selecting gifted and talented students in information, attitude to information science should be considered as main cause and the existing gifted and talented students in information should be prompted to improve their attitude to information science with value on effort for information science.

• Journal of Digital Convergence
• /
• v.20 no.1
• /
• pp.33-39
• /
• 2022

This study aims to investigate the online class preference depending on students' gender and school level. To achieve this aim, the study conducted a survey on 4,803 elementary, middle, and high school students in 17 regions nationwide. The valid data of 4,524 were then analyzed using the Apriori algorithm to discern the associated patterns of the online class preference corresponding to their gender and school level. As a result, a total of 16 rules, including 7 from elementary school students, 4 from middle school students, and 5 from high school students were derived. To be specific, elementary school male students preferred software-based classes whereas elementary female students preferred maker-based classes. In the case of middle school, both male and female students preferred virtual experience-based classes. On the other hand, high school students had a higher preference for subject-specific lecture-based classes. The study findings can serve as empirical evidence for explaining the needs of online classes perceived by K-12 students. In addition, this study can be used as basic research to present and suggest areas of improvement for diversifying online classes. Future studies can further conduct in-depth analysis on the development of various online class activities and models, the design of online class platforms, and the female students' career motivation in the field of science and technology.