• The Journal of the Convergence on Culture Technology
• /
• v.9 no.4
• /
• pp.95-103
• /
• 2023

This paper proposes an artificial intelligence convergence education program for teaching the main concept and principle of Support Vector Machines(SVM) at elementary schools. The developed program, based on Jeju's natural environment theme, explains the decision boundary and margin of SVM by vertical and parallel from 4th grade mathematics curriculum. As a result of applying the developed program to 3rd and 5th graders, most students intuitively inferred the location of the decision boundary. The overall performance accuracy and rate of reasonable inference of 5th graders were higher. However, in the self-evaluation of understanding, the average value was higher in the 3rd grade, contrary to the actual understanding. This was due to the fact that junior learners had a greater tendency to feel satisfaction and achievement. On the other hand, senior learners presented more meaningful post-class questions based on their motivation for further exploration. We would like to find effective ways for artificial intelligence convergence education for elementary school students.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.4
• /
• pp.245-252
• /
• 2023

The purpose of this study was to investigate the effect of academic engagement, academic self-efficacy of problem solving ability in nursing students. Data were collected from 219 nursing students in B city and analyzed by descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, and multiple regression using SPSS/WIN 22.0. The degree of problem solving ability in nursing students was 4.00±0.51. There were significant differences in problem solving ability with major satisfaction(F=9.476, p<.001), class satisfaction (F=3.079, p<.001). There was positive correlation between problem solving ability and academic engagement (r=.560, p<.001), academic self-efficacy(r=.634, p<.001). There was positive correlation between academic engagement and academic self-efficacy(r=.769, p<.001). The factors affecting problem solving ability of the study subjects were academic engagement(β=.177, p=.031), academic self-efficacy(β=.498, p<.001), with an explanatory power of 41.0%. Therefore to increase aacademic engagement and academic self-efficacy of nursing students, it is necessary to develop the program for improving the problem solving ability of nursing students.

• Education of Primary School Mathematics
• /
• v.26 no.3
• /
• pp.199-217
• /
• 2023

Affective characteristics have been consistently emphasized in mathematics education, but students' confidence or interest in mathematics has not changed significantly. This study analyzes the factors affecting the affective characteristics according to students' academic achievements, which have not been studied so far. The study was surveyed 593 students in the 5th and 6th grades, divided into school mathematics education and social-environmental factors. As a result of the study, students cited 'mathematics class at school' as the factor that had the most influence on their affective characteristics, regardless of academic achievement. Excluding 'mathematics classes at school', upper level students said that 'private education' and 'college entrance exams and jobs', had the most influence on their affective characteristics. Middle level students said that 'assessment at school' and 'private education' had the most influence on their affective characteristics. Lower-level students said that 'school evaluation' and 'mathematics textbook' had the most influence on the affective characteristics. In particular, as the academic achievement level decreased, students' participation in classes decreased rapidly. Most students said that the mathematics content they were learning was too difficult for that reason. Considering these research results, it would be effective to apply methods according to students' academic achievement to some extent in order to improve affective characteristics.

• Communications of Mathematical Education
• /
• v.37 no.1
• /
• pp.65-84
• /
• 2023

The method of Lagrange multipliers, one of the most fundamental algorithms for solving equality constrained optimization problems, has been widely used in basic mathematics for artificial intelligence (AI), linear algebra, optimization theory, and control theory. This method is an important tool that connects calculus and linear algebra. It is actively used in artificial intelligence algorithms including principal component analysis (PCA). Therefore, it is desired that instructors motivate students who first encounter this method in college calculus. In this paper, we provide an integrated perspective for instructors to teach the method of Lagrange multipliers effectively. First, we provide visualization materials and Python-based code, helping to understand the principle of this method. Second, we give a full explanation on the relation between Lagrange multiplier and eigenvalues of a matrix. Third, we give the proof of the first-order optimality condition, which is a fundamental of the method of Lagrange multipliers, and briefly introduce the generalized version of it in optimization. Finally, we give an example of PCA analysis on a real data. These materials can be utilized in class for teaching of the method of Lagrange multipliers.

• Journal of English Language & Literature
• /
• v.57 no.6
• /
• pp.977-998
• /
• 2011

The purpose of this study is to investigate prospective teachers' perceptions of the peer review comments readily available to them during the writing process in a teacher training class. Given these needs, we employ a qualitative method of inquiry giving voice to the learner's own view of peer feedback. The data we wish to consider is first-person narratives elicited from four EFL college students, who are prospective teachers of English. With regard to the EFL students' narrative considered here, all were attentive to the feedback they received. Moreover, the way in which these EFL writers talk about peer response activity reflects that they still welcome peer feedback because of the benefits to be accrued from it. Although this study, covering only four EFL students in total, can hardly be considered conclusive, we attempt to offer a synthesis of their stories. First of all, students indicate that they received responses from "authentic readers" (Mittan 1989, 209). We do note, consequently, that students gain a clear understanding of readers' needs by receiving feedback on what they did well and on what seems unclear. Perhaps the greater effect of peer feedback claimed by these students is that they take active roles in utilizing peer comments. Since they feel uncertain about the validity of their classmates' responses, students feel that they have autonomy over their own text and can make their own decisions on whether they should accept their peer comments or not. This contrasts with their treatment of teacher comments that they accept begrudgingly even if they disagree with them. Four EFL writers talked a lot, typically in a positive way, about peer response to their writing, yet they have expressed reservations about the extent to which they should put any credence in comments offered by their fellow students. Perhaps this is because their fellow students are still developing writers and EFL learners. In turn, they were sometimes reluctant to accept the peers' comments. Thus, in EFL contexts, L1 use can be suggested during peer feedback sessions. In particular, we have come to feel that L1 use enables both reviewers and receivers to have more productive peer review experiences. Additionally, we need to train students not "to see peer feedback as potentially bad advice" (Silva et al. 2003, 111). Teachers should focus on training students to utilize their peers' comments. Without such training, students will either ignore feedback or fail to use it constructively.

• The Journal of Korean Medical History
• /
• v.35 no.1
• /
• pp.45-57
• /
• 2022

This paper examines the positions and personnel of the Naeui system in the late Joseon Dynasty. First, the regulations of the Naeui system were investigated through the literature related to Naeuiwon. Next, the operation of the regulations, changes in the system, and causes were analyzed through the Seungjeongwon Diary (承政院日記). We discovered: 1) Naeuiwon's medical bureaucracy originally did not have a fixed number of positions, but gradually came into being with a quota regulation. Uiyagdongcham-ui (議藥同參醫) and Naechim-ui (內鍼醫) did not have a quota, but was initially set at 10 people, then expanded to 12 people. Originally, the royal physician had no fixed number, and in 1864 the first quota was 7 people. 2) 'Gyeom-eoui' and 'gachanaeui' served to expand Naeui's quota. After the mid-17th century, 'Gyeom-eoui' expanded the quota of royal physicians to secure a position for the medical bureaucracy of Naeuiwon. 'Gachanae' after King Jeongjo serves to add to the quota while obeying the provisions of the law. 3) The customary promotion of Naeuiwon's medical bureaucracy expanded and became stricter after the mid-19th century, during which special promotions became more frequent than in previous periods. As for the provision of appointment to the 6th class after 30 months, Uiyagdongcham-ui was established in 1686 and Naechim-ui was established in 1718, increasing the chance for customary promotion. In the case of Naeui, the regulation for the Secretary General to raise the degree of official rank has been strengthened since the Cheoljong era. However, special promotions were frequent in the mid-19th century because the number of high-ranking officers increased compared to the previous period. In conclusion, the Naeui system in the late Joseon Dynasty changed in the direction of strengthening their own privileges. The Naeuiwon's quota was increased and promotion was guaranteed through the system and customs. Since the mid-18th century, there have been some regulatory restrictions, but the framework has not changed. This is confirmed not only in the regulations of the documents related to the Naeuiwon, but also in the Seungjeongwon Diary. Naeuiwon's medical bureaucracy enjoyed superiority in promotion and status compared to other forms of technical bureaucracy.

• Journal of Industrial Convergence
• /
• v.21 no.11
• /
• pp.125-134
• /
• 2023

This study attemped to examine the effects of health care nursing policy education on nursing students' political efficacy, political participation, and political interest. It attempted to guide the direction of policy education within nursing curriculum. The subjects consisted of 89 nursing students of G-university from March 8, 2023, to June 21, 2023, including 44 in the experimental group and 45 in the control group. The health care nursing policy class was developed using the ADDIE(Analysis, Design, Development, Implementation, Evaluation) model of instructional design. Data analysis used the SPSS 25.0 program through mean, standard deviation, and independent sample t-test. The experimental group that participated in this education showed statistically significant improvement in political efficacy(t=2.34, p<.05) and intrinsic political efficacy(t=2.75, p<.05), as well as passive political participation score(t=2.22, p<.05) compared to before the intervention. Based on the findings of this study, it is suggested that health care nursing policy education should be structured to enhance external political efficacy and promote active political participation in future nursing curriculum.

• Information Systems Review
• /
• v.24 no.4
• /
• pp.97-118
• /
• 2022

As generative adversarial network (GAN) based oversampling techniques have achieved impressive results in class imbalance of unstructured dataset such as image, many studies have begun to apply it to solving the problem of imbalance in structured dataset. However, these studies have failed to reflect the characteristics of structured data due to changing the data structure into an unstructured data format. In order to overcome the limitation, this study adapted CycleGAN to reflect the characteristics of structured data, and proposed hybridization of synthetic minority oversampling technique (SMOTE) and the adapted CycleGAN. In particular, this study tried to overcome the limitations of existing studies by using a one-dimensional convolutional neural network unlike previous studies that used two-dimensional convolutional neural network. Oversampling based on the method proposed have been experimented using various datasets and compared the performance of the method with existing oversampling methods such as SMOTE and adaptive synthetic sampling (ADASYN). The results indicated the proposed hybrid oversampling method showed superior performance compared to the existing methods when data have more dimensions or higher degree of imbalance. This study implied that the classification performance of oversampling structured data can be improved using the proposed hybrid oversampling method that considers the characteristic of structured data.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.1
• /
• pp.297-305
• /
• 2024

As society changes rapidly, the role and status of general education has produced many changes, and accordingly, it is forming a close relationship with various social and cultural environments around the school. Especially, the direction in which general education should proceed and the development of regional-linked general education models have been actively studied at a time when the relationship between local regions and universities is getting strong. In this study, we have provided significant policy implications related to the development and application of future university-local cooperation models by developing a subject of community service activities based learning (CSAL) to get closer to community service and by analyzing actual educational cases and applying them to real community service organizations. In addition, we closely collaborated with local volunteer organizations operated by this local government system to connect with local community service, and through this, we reviewed actual cooperative classes with a local university and local volunteer organizations for the class curriculum, and developed a model to activate the university-local educational ecosystem.

• The Journal of the Convergence on Culture Technology
• /
• v.10 no.1
• /
• pp.71-79
• /
• 2024

ChatGPT, an interactive artificial intelligence (AI) chatbot developed by Open AI in the U.S., gaining popularity with great repercussions around the world. Some academia are concerned that ChatGPT can be used by students for plagiarism, but ChatGPT is also widely used in a positive direction, such as being used to write marketing phrases or website phrases. There is also an opinion that ChatGPT could be a new future for "search," and some analysts say that the focus should be on fostering rather than excessive regulation. This study analyzed consciousness about ChatGPT for college students through a survey of their perception of ChatGPT. And, plagiarism inspection systems were prepared to establish an education support model using ChatGPT and ChatGPT. Based on this, a university education support model using ChatGPT was constructed. The education model using ChatGPT established an education model based on text, digital, and art, and then composed of detailed strategies necessary for the era of the 4th industrial revolution below it. In addition, it was configured to guide students to use ChatGPT within the permitted range by using the ChatGPT detection function provided by the plagiarism inspection system, after the instructor of the class determined the allowable range of content generated by ChatGPT according to the learning goal. By linking and utilizing ChatGPT and the plagiarism inspection system in this way, it is expected to prevent situations in which ChatGPT's excellent ability is abused in education.