• Journal of The Korean Association For Science Education
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• v.40 no.3
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• pp.321-336
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• 2020

We explore automated scoring models of scientific argumentation. We consider how a new analytical approach using a machine learning technique may enhance the understanding of spoken argumentation in the classroom. We sampled 2,605 utterances that occurred during a high school student's science class on molecular structure and classified the utterances into five argumentative elements. Next, we performed Text Preprocessing for the classified utterances. As machine learning techniques, we applied support vector machines, decision tree, random forest, and artificial neural network. For enhancing the identification of rebuttal elements, we used a heuristic feature-engineering method that applies experts' classification of morphemes of scientific argumentation.

• Korean Journal of Health Education and Promotion
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• v.17 no.1
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• pp.185-213
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• 2000

The purpose of this study is to analyze and compare dental hygine curriculum of three countries--Korea, U.S.A., and Japan--, focusing on the ways of organizing content. In this study, 30 curriculum documents of dental hygienist in U.S., Japan, and Korea were analyzed and discussed by a framework of analysis which was constructed referring to Tylerian curriculum model. Using this framework, three kinds of key components of curriculum document were compared according to specific elements of each component. More specifically, comparing those curriculum documents, we must consider the dimension of content organization. In this study, the problem of course organization was viewed on three dimensions: continuity, sequence, and integration of curriculum content. Based on the results of this study, the conclusions are as follows. 1. Courses of dental hygienist education should be organized so that the curriculum foster the cumulative and continuous learning. It will be accomplished by considering the essential procedures or sequence of dental hygiene activities. 2. When organizing curriculum elements, we should consider the continuity dimension of learning content. Continuity deals with the vertical manipulation or repetition of curriculum components. In other words, it accounts for the reappearance in the curriculum of certain major ideas or skills. Therefore, courses should be based on the level of the dental hygienist activities in order to ensure a continuity of learning experiences. 3. Dental hygienist curriculum must be organized in a way to integrate the logic of dental hygiene as a discipline with the process of dental hygiene performance. Integration refers to the linking of all types of knowledge and experiences contained within the curriculum design. It emphasizes horizontal relations among various content topics and themes involving all domains of knowledge recognized. Thus, courses of dental hygiene curriculum should be integrated to allow college students to obtain a unified view of knowledge and an in-depth meaning of the dental hygiene as a profession.

• Journal of Korean Home Economics Education Association
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• v.24 no.3
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• pp.35-56
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• 2012

The objective of this study investigated characteristics and developed the teaching models elements of creativity and personality education in home economics education based on its identity and nature. Above all, I investigated premises and assumptions of creativity and personality education in home economics education through literary consideration, and then found out eighteen creativity and personality elements. Thus, I proposed Practical Problem Solving Learning Model, Creative Problem Solving Learning Model, Inquiry Learning Model, and Role Playing Model(experience study) in 'Clothing and self-expression' unit. The study identified that creativity and personality education meets nature of home economics education and strengthens the basics of the creativity and personality education in home economics education. In the future, I recommend the activation of philosophical debating of the creativity and personality education, various class models of creative and personality education, and follow-up study of the creative and personality education.

• Korean Medical Education Review
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• v.20 no.1
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• pp.32-43
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• 2018

Although student research programs have been implemented worldwide, research programs during premedical school have unique characteristics. The purpose of this study is to evaluate factors that influence the effects of premedical school research programs. Eighty second-year premedical students at Pusan National University were included in the study. Effect elements and influential factors were extracted through reference reviews and in-depth individual interviews. A Likert scale questionnaire was developed using the extracted elements and factors, and Cronbach's alpha coefficient was used to analyze the reliability of the survey. The mean value and the standard deviation for each question were calculated to evaluate education effectiveness and learning satisfaction, and the influence of each factor on effect was analyzed using correlation analysis. Students' research skills and knowledge were improved in the short term; however, interest in research or in a career as a researcher did not increase. Student interest, participation, and contributions were important factors. Among professors, passion, considerateness, and teaching method including the level of lesson were influential factors. Implementation of curriculum and support and guidance were influential as well, whereas evaluation system was not a factor. To improve student research programs, several factors that influence education effectiveness and learning satisfaction should be considered.

• The Journal of Korean Association of Computer Education
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• v.23 no.1
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• pp.1-28
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• 2020

The purpose of this study is to establish the standard curriculum for informatics by reflecting the changing information technology and social needs and based on the competencies that school at each level must have. To accomplish the purpose, the informatics curriculums of 8 countries were analyzed, and the learning elements of the curriculum were extracted with the body of knowledge of the higher-level informatics standard curriculum being the frame. To establish the standard curriculum, 51 experts reviewed it and their opinions were collected 10 times. As a result of this study, the competencies that need to be fostered through the informatics curriculum were defined, and the competency-centered curriculum, including the learning elements required to acquire the competencies, and the competencies that can be manifested through the learning element, was proposed. The implication is that the informatics standard curriculum, proposed in this study, laid down the foundation for establishing the informatics curriculum scheduled to be revised in 2022.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.6
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• pp.535-544
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• 2018

Autonomous driving can be limited by only using sensors if the sensor is blocked by sudden changes in surrounding environments or large features such as heavy vehicles. In order to overcome the limitations, the precise road-map has been used additionally. This study was conducted to segment and classify road objects using 3D point cloud data acquired by terrestrial mobile mapping system provided by National Geographic Information Institute. For this study, the original 3D point cloud data were pre-processed and a filtering technique was selected to separate the ground and non-ground points. In addition, the road objects corresponding to the lanes, the street lights, the safety fences were initially segmented, and then the objects were classified using the support vector machine which is a kind of machine learning. For the training data for supervised classification, only the geometric elements and the height information using the eigenvalues extracted from the road objects were used. The overall accuracy of the classification results was 87% and the kappa coefficient was 0.795. It is expected that classification accuracy will be increased if various classification items are added not only geometric elements for classifying road objects in the future.

• Journal of The Korean Association For Science Education
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• v.40 no.6
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• pp.649-656
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• 2020

In this study, we analyzed the learning elements and achievement standards, and explored the appropriateness and hierarchy of content were analyzed related to the nine types of traditional astronomical instruments presented in the traditional science unit of the History of Science course to improve the problematic situation in which students show low selection rates for the History of Science, one of the elective courses in high school science. Based on the results of this analysis, we suggested ways to utilize each astronomical instrument for teaching and learning in science curriculum with different grade bands. Using the results of this study as a starting point, if a follow-up study that develops specific achievement standards or inquiry activities related to traditional astronomical instruments can be conducted, students' awareness of Korean traditional science culture can be improved, and furthermore it is expected to increase the student's selection rate for the History of Science course.

• Human Ecology Research
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• v.60 no.4
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• pp.625-643
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• 2022

The purpose of this study was to explore the trends and core keywords of the secondary school home economics teacher selection test using content analysis and text network analysis. The sample comprised texts of the secondary school home economics teacher 1st selection test for the 2017-2022 school years. Determination of frequency of occurrence, generation of word clouds, centrality analysis, and topic modeling were performed using NetMiner 4.4. The key results were as follows. First, content analysis revealed that the number of questions and scores for each subject (field) has remained constant since 2020, unlike before 2020. In terms of subjects, most questions focused on 'theory of home economics education', and among the evaluation content elements, the highest percentage of questions asked was for 'home economics teaching·learning methods and practice'. Second, the network of the secondary school home economics teacher selection test covering the 2017-2022 school years has an extremely weak density. For the 2017-2019 school years, 'learning', 'evaluation', 'instruction', and 'method' appeared as important keywords, and 7 topics were extracted. For the 2020-2022 school years, 'evaluation', 'class', 'learning', 'cycle', and 'model' were influential keywords, and five topics were extracted. This study is meaningful in that it attempted a new research method combining content analysis and text network analysis and prepared basic data for the revision of the evaluation area and evaluation content elements of the secondary school home economics teacher selection test.

• Journal of English Language & Literature
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• v.56 no.6
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• pp.1047-1065
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• 2010

English inversion constructions are not only hard for non-native speakers to learn but also difficult to teach mainly because of their intriguing grammatical and discourse properties. This paper addresses grammatical issues in learning or teaching the so-called 'predicate inversion (PI)' construction (e.g., Equally important in terms of forest depletion is the continuous logging of the forests). In particular, we chart the grammatical (distributional, syntactic, semantic, pragmatic) properties of the PI construction, and argue for adata-driven teaching for English grammar. To depart from the arm-chaired style of grammar teaching (relying on author-made simple sentences), our teaching method introduces a datadriven teaching. With total 25 university students in a grammar-related class, students together have analyzed the British Component of the International Corpus of English (ICE-GB), containing about one million words distributed across a variety of textual categories. We have identified total 290 PI sentences (206 from spoken and 87 from written texts). The preposed syntactic categories of the PI involve five main types: AdvP, PP, VP(ed/ing), NP, AP, and so, all of which function as the complement of the copula. In terms of discourse, we have observed, supporting Birner and Ward's (1998) observation that these preposed phrases represent more familiar information than the postposed subject. The corpus examples gave us the three possible types: The preposed element is discourse-old whereas the postposed one is discourse-new as in Putting wire mesh over a few bricks is a good idea. Both preposed and postposed elements can also be discourse new as in But a fly in the ointment is inflation. These two elements can also be discourse old as in Racing with him on the near-side is Rinus. The dominant occurrence of the PI in the spoken texts also supports the view that the balance (or scene-setting) in information structure is the main trigger for the use of the PI construction. After being exposed to the real data and in-depth syntactic as well as informationstructure analysis of the PI construction, it is proved that the class students have had a farmore clear understanding of the construction in question and have realized that grammar does not mean to live on by itself but tightly interacts with other important grammatical components such as information structure. The study directs us toward both a datadriven and interactive grammar teaching.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.349-359
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• 2022

The purpose of this study is to add and revalidate items of learning cognition and learning emotion factors for online use of the K-LSS for junior college. It is important for self-reflection and improvement of academic achievement to specifically explore and analyze the sub-factors of learning cognition, learning behavior, and learning emotion for each item that can affect the learning strategy of junior college students. The added items are two items for diagnosing the concentration of attention in the learning information processing process of the learning cognitive factor and two questions about the interpersonal anxiety factor for diagnosing the level of anxiety about others in the learning emotional factor. The study area was conducted in 5 areas nationwide, and the subjects of the study were 923 junior college students excluding 327 respondents who answered insincerity. The K-LSS_r scale is a learning strategy diagnosis scale of 52 questions composed of three sub-elements of learning cognition (18 questions), learning emotion (15 questions), and learning behavior (19 questions), and reliability for generalization in this study. As a result of the verification, Cronbach's α coefficient of the entire scale was .896, and Cronbach's α coefficient of the three factors ranged from .876 to .910. The half-segment reliability coefficient of the scale was .858 in total, and the half-segment reliability coefficients of the three factors ranged from .792 to .843. The test-retest reliability verification result for 3 weeks for 350 Junior college Students in 5 regions was .884, and the validity test for generalization also confirmed that the recruitment validity is significant.