• The Journal of Korean Association of Computer Education
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• v.11 no.1
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• pp.85-95
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• 2008

The purpose of this study is to develop and apply the algorithm teaching materials centered on plays(ATMCP) to improve problem-solving abilities of elementary students. For this goal, the ATMCP were reviewed by the expert group and tested them out on 71 fifth-grade elementary students in Daegu, Korea during the 6 weeks. We divided students into two groups: one is the group of the ATMCP and the other is the group of conventional algorithm teaching materials(ATM). And we analyzed the change of the problem-solving ability of each group between before and after using two types of teaching materials with the Mixed ANOVA. The result showed that there was a significant difference in students' problem-solving abilities between before and after using them and the group of the ATMCP was greater improvement than the group of the conventional ATM in a problem-solving ability.

• The Journal of Korean Association of Computer Education
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• v.14 no.2
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• pp.13-22
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• 2011

The importance of algorithm education has been emphasized for creative problem-solving capability. Especially, algorithm teaching materials related with mathematics and science are under development to enhance logical thinking. However, there are not enough teaching-learning models applicable in the field of education. Therefore, this paper proposed a teaching-learning model for effective algorithm education. The teaching-learning model reflects two characteristics : an algorithm learning process is spiral, and algorithm education is based on logical thinking. Furthermore, a survey was conducted for students' satisfaction, and the result was a mixed teaching-learning model with PBL, SDL, and peer tutoring. Based on the proposed model, examples of classes for mathematics and science are suggested to show the feasibility of effective algorithm education.

• Journal of Science Education
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• v.43 no.1
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• pp.17-42
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• 2019

This study, as an attempt to integrate mathematics and information for convergence education, was conducted to develop teaching-learning materials on mathematics education combined with coding education, which has recently been emphasized. We chose the subject of digital signature for coding education, and used SageMath as a coding program. In this study, we overview mathematics used in the elliptic curve digital signature algorithm, one of the many methods for digital signature, and developed the teaching-learning materials on the algorithm for mathematics education integrated with information education based on coding. The elliptic curve digital signature algorithm utilized in transactions of Bitcoin, which many people recently are interested in, is a good example, showing students that mathematics is applied to problem-solving in the real world and provides an optimal environment for implementation by coding. Accordingly, we expect that a class on algorithm will provide a specific teaching-learning program to achieve the goal of integrated mathematics education. By comprehensively considering the opinions of mathematicians, mathematics teachers and mathematics education experts, we expect that the teaching-learning program will be realized as a meaningful class in science high schools, high school's math clubs, and 'number theory' class in colleges.

• East Asian mathematical journal
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• v.37 no.4
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• pp.443-460
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• 2021

This study analyzes the characteristics of elementary math gifted classes through the development and application of teaching and learning materials. We used the guided reinvention methods including quasi-experiential perspectives. To this end, the applicability of Lakatos' quasi-empirical mathematical philosophy in elementary mathematics was examined, and the criteria for the development of teaching and learning materials for gifted students were presented, and then this study was conducted in this theoretical background. The subjects of the study were 21 elementary students at P University's Institute of Science and Gifted Education, and non-face-to-face real-time classes were conducted. Classes were divided into introduction, deployment1, deployment2, organization stages, and in each stage, small group cooperative learning was conducted based on group activities, and in this process, the characteristics of elementary mathematics gifted were analyzed. As a result of the study, elementary mathematics gifted students did not clearly present the essence of justification in the addition algorithm of fractions, but presented various interpretations of 'wrong' mathematics. They also showed their ingenuity in the process of spontaneously developing 'wrong' mathematics. On the other hand, by taking interest in new mathematics starting from 'wrong' mathematics, negative perceptions about it could be improved positively. It is expected that the development of teaching and learning materials dealing with various and original topics for the gifted students in elementary school will proceed through follow-up research.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.25 no.6
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• pp.492-497
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• 2016

Teaching an industrial robot is still a dangerous and time-consuming process. It is expected that a robot can track a trajectory that is repeatedly taught by a human operator. Teaching a robot in joint space is easier than that in Cartesian space or a work space because the robot will never lose its stability when it is taught and operated in a joint space. However, it is very easy for a robot to lose its stability when it is taught in a work space. This is because of the singular points problem in kinematics for manipulators. Thus, experts should teach a given task to a robot in a careful manner. A new algorithm that avoids the problem of singular points is proposed. Using this proposed method, a user can freely teach a robot without the chance of instability in an entire work space.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.195-204
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• 2023

In this study, prompt engineering that improves prompts was explored to improve the performance of teaching and learning materials recommendations using generative artificial intelligence such as GPT and Stable Diffusion. Picture materials were used as the types of teaching and learning materials. To explore the impact of the prompt composition, a Zero-Shot prompt, a prompt containing learning target grade information, a prompt containing learning goals, and a prompt containing both learning target grades and learning goals were designed to collect responses. The collected responses were embedded using Sentence Transformers, dimensionalized to t-SNE, and visualized, and then the relationship between prompts and responses was explored. In addition, each response was clustered using the k-means clustering algorithm, then the adjacent value of the widest cluster was selected as a representative value, imaged using Stable Diffusion, and evaluated by 30 elementary school teachers according to the criteria for evaluating teaching and learning materials. Thirty teachers judged that three of the four picture materials recommended were of educational value, and two of them could be used for actual classes. The prompt that recommended the most valuable picture material appeared as a prompt containing both the target grade and the learning goal.

• Journal of The Korean Association of Information Education
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• v.20 no.2
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• pp.151-160
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• 2016

Algorithm education is emphasized as an instrument for teaching the basic principles of Computer Science. But these materials is very short-fall. We'll present the CS Unplugged-based algorithm contents, which is easy to learn for elementary student. These contents for self-directed learning consisted of the activity-based learning. For problem-solving algorithm learning in everyday life we were developed the hashing techniques on the basis of the basic searching and sorting algorithms. For checking the adequacy of these materials were tested by surveys of teacher professional groups, and we obtain the appropriate conclusions for sorting algorithm contents for improving the problem-solving ability for in elementary student.

• Journal of The Korean Association of Information Education
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• v.20 no.2
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• pp.161-170
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• 2016

Currently computer education has been emphasized improving thinking skill instead of practical education of applied software. There are various studies that are to teach algorithm with visualization learning materials or activitives-centered unplugged class. However, algorithm classes for elementary school have various difficulties. One of the reasons is insufficient learning materials and teaching methods. Therefore we designed a activities-centered algorithm class for elementary school students. We hope this study will contribute to the study of algorithm classes for improving kids' thinking skill.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.40-46
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• 2019

The current education is becoming more extensive with the application of various teaching methods. This is a problem that is so distributed that it is difficult for users to find the data and it takes a long time to find the information they need. Currently, various educational services, materials, and instruments are developed and scattered. Therefore, it is important to raise students' awareness of aptitude and career path with customized education tailored to students. Conventional education platforms have very difficult to choose the right materials for students because of the spread of educational programs and institution materials. To solve this, we propose a customized recommendation approach to recommend customized educational service materials and institution for students to teachers, which helps teachers conveniently choose materials suitable for their respective environments. On this new platform, the CNN algorithm provides recommended content for classes and students. For real service on the educational service platform, we implement this system for Jeil edus business. Through this mechanism, we expect to improve the quality of education by helping to select the right service.

• Journal of The Korean Association of Information Education
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• v.17 no.1
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• pp.73-81
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• 2013

Elementary students are living in the information environment at daily. Also, they are learning the school curriculum lessons are based on information. Computational thinking that based on information from everyday life and the school curriculum is important. Until now, many educational materials for the computational thinking have been developed. But, teaching and learning method for computational thinking have not been developed. In the study, the teaching and learning model for computational thinking for elementary school students will be developed. Computational thinking education model proposed in this study consists of three phases. The first phase is the information gathering stage. The second phase is to perform calculations. The last phase is the decision-making steps. Effective teaching and learning methods that are proposed model in this study for computational thinking education will be used.