• Title/Summary/Keyword: 인식적 기준

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A study on the evaluation area of academic achievement in special education basic curriculum based on importance and performance analysis (중요도·실행도 분석에 근거한 특수교육 기본교육과정 학업성취도 평가 영역 고찰)

  • Shin, Seoyoung;Park, Changun
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.9
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    • pp.815-823
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    • 2017
  • The purpose of this study is to investigate the need for practical evaluation of special education field based on the analysis of the importance - performance of special education basic curriculum academic achievement evaluation area. The evaluation categories and areas for the analysis of importance and performance are set in 4 categories - 22 areas of life education derived from Delphi analysis and 7 categories- 27 areas in special education basic curriculum. As a result of analyzing the importance and performance of 126 teachers of intellectual disability special schools in P metropolitan city, statistically significant difference was shown between importance and performance in all areas. As a result of analysis of scatter plot with x - axis and significance as y axis based on averaging point, some elements of subject education showed low recognition level both in importance and execution. The results of this study suggest the necessity of restructuring the evaluation area and the evaluation system of the basic education curriculum of the special education and further revise the contents of the curriculum of the national level basic curriculum and the content area, It implies that discussion is needed.

Automatic Extraction of References for Research Reports using Deep Learning Language Model (딥러닝 언어 모델을 이용한 연구보고서의 참고문헌 자동추출 연구)

  • Yukyung Han;Wonsuk Choi;Minchul Lee
    • Journal of the Korean Society for information Management
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    • v.40 no.2
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    • pp.115-135
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    • 2023
  • The purpose of this study is to assess the effectiveness of using deep learning language models to extract references automatically and create a reference database for research reports in an efficient manner. Unlike academic journals, research reports present difficulties in automatically extracting references due to variations in formatting across institutions. In this study, we addressed this issue by introducing the task of separating references from non-reference phrases, in addition to the commonly used metadata extraction task for reference extraction. The study employed datasets that included various types of references, such as those from research reports of a particular institution, academic journals, and a combination of academic journal references and non-reference texts. Two deep learning language models, namely RoBERTa+CRF and ChatGPT, were compared to evaluate their performance in automatic extraction. They were used to extract metadata, categorize data types, and separate original text. The research findings showed that the deep learning language models were highly effective, achieving maximum F1-scores of 95.41% for metadata extraction and 98.91% for categorization of data types and separation of the original text. These results provide valuable insights into the use of deep learning language models and different types of datasets for constructing reference databases for research reports including both reference and non-reference texts.

Analysis of the Development of Argumentative Abilities in Elementary School Students' via the SSI Argumentation Education Program (SSI 논증 교육 프로그램에 참여한 초등학생들의 논증 능력 발달 분석)

  • Min, Suhyun;Jhun, Youngseok
    • Journal of Korean Elementary Science Education
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    • v.43 no.3
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    • pp.446-459
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    • 2024
  • This study aims to examine the development and learning process of the argumentative abilities in elementary school students with regards to learning science. Toward this end, the SSI argumentation education program was implemented in conjunction with the science curriculum for sixth-grade students across 10 months. In this process, the scoring criteria in terms of formal and content aspects were developed and used to assess their argumentative text analysis and expression abilities. The results were as follows: First, the type of SSI influenced their ability to analyze argumentative texts. However, their formal and content aspects improved as learning progressed. Second, with regards to the formal aspect associated with the ability to express argumentative texts, reasons were initially most frequently cited. Over time, incorporating evidence to support these reasons and the use of rebuttal also increased. Third, in terms of content aspect, the level of use of all elements increased as learning progressed; however, level of acknowledgments and rebuttal elements exhibited a relatively slower progress. In summary, ability of the students to analyze and express argumentative texts improved as they increasingly gained experience in learning about argumentation. The study deduced that elementary school students can develop their argumentative abilities through appropriate learning support, such as teacher feedback, along with implementation of the SSI argumentation education program over an extended period. Based on these results, the study proposes the development of SSI materials and incorporation of SSI argumentative writing in the science curriculum.

Research on Deep Learning-Based Methods for Determining Negligence through Traffic Accident Video Analysis (교통사고 영상 분석을 통한 과실 판단을 위한 딥러닝 기반 방법 연구)

  • Seo-Young Lee;Yeon-Hwi You;Hyo-Gyeong Park;Byeong-Ju Park;Il-Young Moon
    • Journal of Advanced Navigation Technology
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    • v.28 no.4
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    • pp.559-565
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    • 2024
  • Research on autonomous vehicles is being actively conducted. As autonomous vehicles emerge, there will be a transitional period in which traditional and autonomous vehicles coexist, potentially leading to a higher accident rate. Currently, when a traffic accident occurs, the fault ratio is determined according to the criteria set by the General Insurance Association of Korea. However, the time required to investigate the type of accident is substantial. Additionally, there is an increasing trend in fault ratio disputes, with requests for reconsideration even after the fault ratio has been determined. To reduce these temporal and material costs, we propose a deep learning model that automatically determines fault ratios. In this study, we aimed to determine fault ratios based on accident video through a image classification model based on ResNet-18 and video action recognition using TSN. If this model commercialized, could significantly reduce the time required to measure fault ratios. Moreover, it provides an objective metric for fault ratios that can be offered to the parties involved, potentially alleviating fault ratio disputes.

Determinants of Pastors' Economic Preparations for Old Age (목회자의 경제적 노후 준비 결정요인)

  • Song, Chang-Kook
    • Korean Journal of Social Welfare
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    • v.61 no.3
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    • pp.29-54
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    • 2009
  • This study is intended to figure out determinants affecting the economic preparations for old age of pastors from major four protestant associations having a church ministerial pension system: the General Assembly of Presbyterian Church in Korea (GAPCK), the Presbyterian Church of Korea (PCK), the Presbyterian Church in the Republic of Korea (PROK), and the Korean Methodist Church (KMC). Thereby, it conducted a survey to 452 pastors from the four religious associations in Korea. The followings sum up the results of this research. First, it was shown that the conventional idea that there is no need for pastors to prepare for their old age or their preparations for old age imply disbelief had been diminished. Second, there were few pastors who had made economic preparations for their old age privately. Third, associations adopting a compulsory church ministerial pension system were PCK, PROK, and KMC indicating a high occupation of more than 75% whereas GAPCK with an optional system showed a very low percentage of 11.5%. Fourth, with regard to the national pension system, the associations except for PROK (61.8%) had more non-enrolled pastors (53.3%), and they responded economic difficulty as the biggest reason for the unenrollment. Fourth, determinants affecting their economic preparations for old age were academic career, total income, church independency, church reserving, and national pension enrollment. Fifth, among the pastors from the four associations, the ones of PROK prepared for their old age best in consideration of GAPCK. According to the results of this paper, the most critical determinant affecting pastors' economic preparations for old age was total income. Pastors with higher income can make church ministerial pension, national pension, and private preparations while the ones with lower income cannot afford for public as well as private preparations; that is, there exists a polarization phenomenon in pastors' economic preparations for old age. Therefore, it is necessary to make devices to narrow the income gap between pastors in religious associations. Second, even in the associations having a compulsory church ministerial pension system, many pastors were not insured, so it is needed to reform or improve the pension system. Third, it is also required to better the national pension system and change the recognition on it.

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Identification of Variables as the Effects of Integrated Education Using the Delphi Method (통합교육의 효과변인 추출을 위한 델파이 연구)

  • Yoon, Heojoeng;Kim, Jiyoung;Bang, Dami
    • Journal of The Korean Association For Science Education
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    • v.36 no.6
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    • pp.959-968
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    • 2016
  • In this study, the Delphi Method was conducted to extract variables as effects of integrated education. Forty-six experts engaged in both the integrated education and research fields participated in this study. The Delphi survey was conducted for three rounds. In the first round, an open questionnaire was given asking variables possibly considered as effects of integrated education. In the second round, variables induced from analysis of the first survey results were given and the degree of agreement for each variable was determined according to the Likert scale. In the third round of the survey, mean, standard deviation, and the first and third quartile calculated using the results of the second survey were given to experts to determine their degree of assent. In addition, categories for variables were suggested. The degree of agreement for appropriateness of categorization and relative importance were determined As a result, a total of 18 variables were chosen except for career awareness. They were categorized according to their definition and properties into five categories: 'creativity' (flexible thinking, associative thinking, intuitive thinking, creative thinking), 'problem solving' (meta-cognition, problem recognition and solving, critical thinking, decision making ability, ability of knowledge application, knowledge and information processing skills), 'integrative perception and sensitivity' (concern and interest in various disciplines, understanding and acceptance of difference, integrative thinking), 'interpersonal relations' (communication skills, cooperation), and 'disciplinary literacy' (humanistic imagination, basic knowledge and literacy of each discipline, academic motivation). The degree of agreement was high in variables included in 'creativity' and 'problem solving' categories and the frequency of choosing the importance was high in variables included in 'integrative perception and sensitivity'. The educational implication related to implementation and practice of integrated education were discussed on the basis of results.

Operation Measures of Sea Fog Observation Network for Inshore Route Marine Traffic Safety (연안항로 해상교통안전을 위한 해무관측망 운영방안에 관한 연구)

  • Joo-Young Lee;Kuk-Jin Kim;Yeong-Tae Son
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.2
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    • pp.188-196
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    • 2023
  • Among marine accidents caused by bad weather, visibility restrictions caused by sea fog occurrence cause accidents such as ship strand and ship bottom damage, and at the same time involve casualties caused by accidents, which continue to occur every year. In addition, low visibility at sea is emerging as a social problem such as causing considerable inconvenience to islanders in using transportation as passenger ships are collectively delayed and controlled even if there are local differences between regions. Moreover, such measures are becoming more problematic as they cannot objectively quantify them due to regional deviations or different criteria for judging observations from person to person. Currently, the VTS of each port controls the operation of the ship if the visibility distance is less than 1km, and in this case, there is a limit to the evaluation of objective data collection to the extent that the visibility of sea fog depends on the visibility meter or visual observation. The government is building a marine weather signal sign and sea fog observation networks for sea fog detection and prediction as part of solving these obstacles to marine traffic safety, but the system for observing locally occurring sea fog is in a very insufficient practical situation. Accordingly, this paper examines domestic and foreign policy trends to solve social problems caused by low visibility at sea and provides basic data on the need for government support to ensure maritime traffic safety due to sea fog by factually investigating and analyzing social problems. Also, this aims to establish a more stable maritime traffic operation system by blocking marine safety risks that may ultimately arise from sea fog in advance.

Analyzing Mathematical Performances of ChatGPT: Focusing on the Solution of National Assessment of Educational Achievement and the College Scholastic Ability Test (ChatGPT의 수학적 성능 분석: 국가수준 학업성취도 평가 및 대학수학능력시험 수학 문제 풀이를 중심으로)

  • Kwon, Oh Nam;Oh, Se Jun;Yoon, Jungeun;Lee, Kyungwon;Shin, Byoung Chul;Jung, Won
    • Communications of Mathematical Education
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    • v.37 no.2
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    • pp.233-256
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    • 2023
  • This study conducted foundational research to derive ways to use ChatGPT in mathematics education by analyzing ChatGPT's responses to questions from the National Assessment of Educational Achievement (NAEA) and the College Scholastic Ability Test (CSAT). ChatGPT, a generative artificial intelligence model, has gained attention in various fields, and there is a growing demand for its use in education as the number of users rapidly increases. To the best of our knowledge, there are very few reported cases of educational studies utilizing ChatGPT. In this study, we analyzed ChatGPT 3.5 responses to questions from the three-year National Assessment of Educational Achievement and the College Scholastic Ability Test, categorizing them based on the percentage of correct answers, the accuracy of the solution process, and types of errors. The correct answer rates for ChatGPT in the National Assessment of Educational Achievement and the College Scholastic Ability Test questions were 37.1% and 15.97%, respectively. The accuracy of ChatGPT's solution process was calculated as 3.44 for the National Assessment of Educational Achievement and 2.49 for the College Scholastic Ability Test. Errors in solving math problems with ChatGPT were classified into procedural and functional errors. Procedural errors referred to mistakes in connecting expressions to the next step or in calculations, while functional errors were related to how ChatGPT recognized, judged, and outputted text. This analysis suggests that relying solely on the percentage of correct answers should not be the criterion for assessing ChatGPT's mathematical performance, but rather a combination of the accuracy of the solution process and types of errors should be considered.

Development and Utilization of Evaluation Methods for Offshore Wind Farm Landscape Quality Assessment (해상풍력발전단지 경관의 질 평가를 위한 평가기법의 개발 및 활용방안)

  • Jin-Oh Kim;Byoungwook Min;Kyung-Sook Woo;Jin-Pyo Kim
    • Journal of Environmental Impact Assessment
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    • v.32 no.6
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    • pp.577-589
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    • 2023
  • In Korea, the technical techniques for assessing visual impacts are standardized, but the methods for assessing the marine landscape itself are not standardized and need to be improved. In particular, in the landscape impact assessment of offshore wind power generation in Korea, it is necessary to recognize the landscape itself as a receptor and prepare a system that can evaluate the characteristics and sensitivity of the landscape. In this study, we propose an evaluation method for preparing a marine landscape quality assessment document that reflects the project characteristics of offshore wind power projects, and examine the possibility of utilization by applying it to actual project sites as an example. To evaluate the quality of marine scenery in offshore wind power projects, evaluation items of landscape characteristics, physical characteristics, and socio-cultural characteristics were evaluated based on the preliminary survey contents, and the quality of marine scenery was divided into five grades. Next, the evaluation criteria of the evaluation items were synthesized and the quality of the marine landscape was classified into preservation grade (grade 5), semi-preservation grade (grade 4), buffer grade (grade 3), semi-improvement grade (grade 2), and improvement grade (grade 1). In addition, the Sinan-Ui Offshore Wind Farm, an actual project site, was randomly selected to conduct the evaluation process and examine its utilization. This study aims to complement the existing method of visual impact assessment in offshore wind power projects and evaluate the quality of the marine landscape itself to effectively conserve marine landscape resources during offshore wind power projects. Rather than relying on mechanical and quantitative evaluation, this study is expected to be used as a basis for comprehensive understanding of the location and socio-cultural characteristics of the project site and for communication and cooperation with stakeholders.

'Inventing' Religion and Pseudo-religion in the 2022 National Curriculum on Religions (2022년 종교 교육과정 - 종교인 만들기와 '유사종교' 발명 교육 -)

  • Ko Byoung-chul
    • Journal of the Daesoon Academy of Sciences
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    • v.46
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    • pp.1-32
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    • 2023
  • The purpose of this article is to critically reflect on the 2022 national curriculum on religions. The perspective of this reflection is that since the religious curriculum is meant to be a national curriculum, it should be applicable to all high school students, be shareable, and function as a place for meta-reflection regarding the proper use of the category of religion. For this purpose, I reviewed the form and content of the 2022 curriculum on religions in Section 2. The form of the 2022 curriculum on religions looks similar to the previously utilized curriculum. However, the main change is that the subject of religions was arbitrarily placed into the category of 'subjects for choosing a career.' And the 2022 curriculum on religions has two characteristics in terms of content: the orientation of 'making religious people (spiritual formation)' and the reemergence of the concept of 'pseudo-religion.' In Section 3, I delved into the orientation of 'making religious people through religious reflection' among the characteristics of the 2022 curriculum on religions. In this process, I discovered that the concept of 'reflection as a metacognitive technology,' which was the core of the prior curriculum and school education, was transformed into the concept of 'religious reflection,' and the concepts of spirituality and religiosity were also added. In Section 4, I delved into the dichotomy of 'religion and pseudo-religion.' 'Pseudo-religion' is a new focus in the 2022 curriculum on religions. In this process, I revealed that the concept of 'pseudo-religion' is a combination of an outdated administrative term of the Japanese Government-General of Korea during Japan's occupation of Korea, and as such, the term is inherently value-laden and harmful. I also revealed that determining 'pseudo-religion' in school education regenerates the colonial Japanese Government-General's biased attitudes toward Korean religions and forces teachers to 'invent' (detect or personally appraise) modern day pseudo-religions through arbitrary judgements. The 'curriculum to emphasize religious reflection and detect pseudo-religions in order to create religious people' can distort the subject of religion in the national curriculum as into a 'subject for religion (promotion or degradation).' If this distortion continues, the appropriateness of curriculum on religions existing within the national curriculum will eventually become a subject of debate.