This study aims to provide a science history content system necessary in the course design process of liberal arts subjects, along with the application of flip learning in liberal arts science classes for humanities and social sciences students. For the research, we analyzed the current state of the liberal arts and history of science classes at universities. Then we developed the 'Understanding the History of Science' subject by applying the flip learning method through the analysis of various previous studies. As the goal of science history lectures that can reach the essential purposes of science liberal arts education, including knowledge acquisition and strengthening various competencies, scientific attitude cultivation was set, and the content system of week 15 was designed to consider this. The four topics corresponding to the "History of Science" part of the "Understanding Science History" content system consisted of flipped learning classes and teaching and learning activities, including online video materials and group discussion activities. As a result of opening courses for students in the humanities and social sciences and operating classes for 56 college students, it was confirmed that students' interest and awareness of science increased. This study provides educational evidence for science history and liberal arts education.
In today's digital information society, student knowledge and skills to analyze big data and make informed decisions have become an important goal of school mathematics. Integrating big data statistical projects with digital technologies in high school <Artificial Intelligence> mathematics courses has the potential to provide students with a learning experience of high impact that can develop these essential skills. This paper proposes a set of guidelines for designing effective big data statistical project-based tasks and evaluates the tasks in the artificial intelligence mathematics textbook against these criteria. The proposed guidelines recommend that projects should: (1) align knowledge and skills with the national school mathematics curriculum; (2) use preprocessed massive datasets; (3) employ data scientists' problem-solving methods; (4) encourage decision-making; (5) leverage technological tools; and (6) promote collaborative learning. The findings indicate that few textbooks fully align with these guidelines, with most failing to incorporate elements corresponding to Guideline 2 in their project tasks. In addition, most tasks in the textbooks overlook or omit data preprocessing, either by using smaller datasets or by using big data without any form of preprocessing. This can potentially result in misconceptions among students regarding the nature of big data. Furthermore, this paper discusses the relevant mathematical knowledge and skills necessary for artificial intelligence, as well as the potential benefits and pedagogical considerations associated with integrating technology into big data tasks. This research sheds light on teaching mathematical concepts with machine learning algorithms and the effective use of technology tools in big data education.
Matrix theory is widely used not only in mathematics, natural sciences, and engineering, but also in social sciences and artificial intelligence. In the 2009 revised mathematics curriculum, matrices were removed from high school math education to reduce the burden on students, but in anticipation of the age of artificial intelligence, they will be reintegrated into the 2022 revised education curriculum. Therefore, there is a need to analyze the matrix content covered in other countries to suggest a meaningful direction for matrix education and to derive implications for textbook composition. In this study, we analyzed the German mathematics curriculum and standard education curriculum, as well as the matrix units in the German Hesse state mathematics curriculum and textbook, and identified the characteristics of their content elements and development methods. As a result of our analysis, it was found that the German textbooks cover matrices in three categories: matrices for solving linear equations, matrices for explaining linear transformations, and matrices for explaining transition processes. It was also found that the emphasis was on mathematical reasoning and modeling when learning matrices. Based on these findings, we suggest that if matrices are to be reintegrated into school mathematics, the curriculum should focus on deep conceptual understanding, mathematical reasoning, and mathematical modeling in textbook composition.
Journal of Korean Home Economics Education Association
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v.35
no.1
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pp.105-124
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2023
The purpose of this study was to identify the characteristics of the contents included in the curriculum and 382 syllabi of the department of home economics education of College of Education in Korea and analyze the correlation by detailed area through the keyword network method. In order to analyze the home economics education curriculum and 382 syllabuses of a total of 11 universities, the frequency of keyword occurrence was analyzed using the KrKwic program, also the degree of connection between keywords and various centrality scales were calculated and visualized. The results of this study were as follows. First, as a result of analyzing the entire syllabi, keywords representing various fields such as family, secondary school, clothing, food, consumer, and design appeared evenly, and keywords related to teaching methods such as 'method', 'practice', 'change', and 'principle' were appeared. Those keywords showed high degree of connection and centrality. Second, in the detailed sectoral analysis, core keywords for each area appeared, and each subject were found to reflect the core keywords of the academic base. This study contributes to the conversion of curriculum of the department of home economics education to future-oriented and convergent curriculum.
Journal of Korean Home Economics Education Association
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v.34
no.4
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pp.93-111
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2022
This study started with the question of 'What innovative task should elementary and secondary school clothing life education perform in accordance with the changes in the future educational environment?' It is time to prepare for a major shift in the educational paradigm that improves the quality of life for all everyone, based on social innovations such as the 4th industrial revolution and the transition to the post-corona era. This study examined the literature for the characteristics of changes in the future educational environment from an educational perspective, and examined the curriculum focusing on the clothing life with the porpose of presenting the direction for the clothing life education. In order to carry out this study, various literature including previous studies related to clothing life education and the national curriculum from the first curriculum to the 2015 revision were analyzed. In conclusion, the direction of the clothing life education curriculum according to the changes in the future educational environment is proposed as follows: First, nurturing convergence education experts that can combine human emotion, environment, and clothing life culture to artificial intelligence(AI); second, developing a clothing life education curriculum that links software competency and practical problem-solving competency; and lastly, implementing fashion maker education using artificial intelligence(AI) and value-oriented clothing life education. In the future, it is expected that the direction of teaching/learning methods and evaluation in clothing life education curriculum is proposed, and that this educational discussion process will help establish the identity of clothing life education in school education.
The value that students consider important in math learning may vary depending on the student's socio-cultural background and personal experience. Although socio-cultural backgrounds are very diverse, I considered overseas vs domestic Koreans, and secondary school levels as variables in terms of students' educational experiences. Overseas students had a lower perception of the value in mathematics than domestic students, especially about understanding mathematics knowledge and the value of the latest teaching and learning methods. Middle school students perceived the value of mathematics as an activity higher than that of high school students, and high school students perceived student agency as a higher value than middle school students. In addition, I considered meta-affect as one of the individual students' experiences, finally meta-affect was a variable that could explain value perception in math learning, and in particular, affective awareness of achievement, affective evaluation of value, and affective using were significant. From the results, I suggested that research on ways to improve the value and the meta-affect in math learning, test to measure the value of students in math learning, the expansion of research subjects to investigate the value in math learning, and a teacher who teaches overseas Koreans are needed.
Background: This study involved a geriatric oral care expert who developed the competencies of students in the Department of Dental Hygiene and conducted preliminary research to develop an effective curriculum. Methods: A questionnaire was conducted in the last week of class targeting students who took courses in geriatric dentistry, geriatric dental hygiene, and practice. In order to confirm the educational effect according to the differences in the geriatric dental hygiene curriculum, the differences in students' achievement of major competencies, awareness of the geriatric dental hygiene process, class satisfaction, and ageism were analyzed. Results: Regarding major competency attainment, 'communication competency' was significantly higher in PBL education that combined theory and practice than that theory-oriented PBL education (p=0.038). For ageism, the tendency to avoid older adults was low in PBL education, which combined theory and practice, and was statistically significant (p=0.040). For class satisfaction, the rate of responding 'very high' for the 'class atmosphere' was significantly high (p=0.025) for PBL education that combined theory and practice. Conclusion: The PBL teaching method can be useful as a geriatric dental hygiene curriculum. However, it would be more effective to create a curriculum so that education in geriatric dental hygiene care practice can be combined with theory rather than a theoretical education alone.
Journal of Korea Entertainment Industry Association
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v.13
no.4
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pp.139-147
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2019
This study conducted bibliometric analysis on studies of Korean intangible cultural heritage dance in the Seoul area and it aimed to figure out the tendencies of that research. For this, a list of Korean intangible cultural heritage dance studies of 24 events was collected and analysis was conducted through the big data analysis solution of TEXTOM. Text mining was used as the method for analysis. Research results showed that first, most of the studies were conducted on the Bongsan Talchum and studies on teaching and learning methods were especially actively conducted. On the other hand, there were not many studies on Gut and the need for research vitalization in that area was confirmed. Second, in studies on Cheoyongmu events, the term'contemporary Cheoyongmu' was used frequently. This can be considered the use of meaningful terms with regard to intangible cultural heritage dance that has changed throughout history. At this, the vitalization of research that can reveal the typicality of dance is demanded from research of other events as well. Third, there was a notable amount of research that compared and analyzed dance styles with regard to the Munmyoilmu. This was seen as the result of discussions in the Korean dancing world regarding archetypal dance styles expanding into academic discussions. Therefore, it was revealed that academic discussions can connect to academic outcomes apart from whether the matter is right or wrong.
Journal of Korea Entertainment Industry Association
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v.13
no.1
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pp.157-166
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2019
The purpose of this study was to investigate the level of professor trust, achievement motivation, and self-efficacy of health college students in G university, and to analyze the relationship between these variables and its influential factors to provide basic data on improvement of teaching methods and academic achievement. The study period was March 1 through 30, 2018. Study subjects were 276 health college students in G university located in G. City. The survey was conducted by the researcher, described the purpose of the study and distributed and collected the questionnaires. The questionnaire consisted of professor trust 27 items, achievement motivation 28 items and self-efficacy 24 items. As a result, professor trust was higher when the grade was lower and the degree of major satisfaction was better, and in order of the division of the health administration, the department of speech-language therapy, and the department of nursing. Achievement motivation was higher in the first grade than in 4th grade and when the degree of major satisfaction was better. Self-efficacy was higher in order of higher grades. Professor trust, achievement motivation, and self-efficacy were correlated with each other, and achievement motivation and self-efficacy influenced the professor trust. The result of this study suggests that the achievement motivation and self-efficacy of college students will be improved based on the mutual trust among the members of the university.
The aim of this study was to investigate differences in the achievement standards from the 2015 to the 2022 revised national science curriculum and to present the implications for science teaching under the revised curriculum. Achievement standards relevant to primary science education were therefore extracted from the national curriculum documents; conceptual domains in the two curricula were analyzed for differences; various kinds of centrality were computed; and the Louvain algorithm was used to identify clusters. These methods revealed that, in the revised compared with the preceding curriculum, the total number of nodes and links had increased, while the number of achievement standards had decreased by 10 percent. In the revised curriculum, keywords relevant to procedural skills and behavior received more emphasis and were connected to collaborative learning and digital literacy. Observation, survey, and explanation remained important, but varied in application across the fields of science. Clustering revealed that the number of categories in each field of science remained mostly unchanged in the revised compared with the previous curriculum, but that each category highlighted different skills or behaviors. Based on those findings, some implications for science instruction in the classroom are discussed.
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