• Title/Summary/Keyword: opinions

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A study on the mutual relation between logic of Simjuriseol and the movement to "reject heterodoxy" of Yi, Hang-no (화서(華西) 이항로(李恒老)의 심설(心說)과 척사논리(斥邪論理)의 상관(相關) 관계(關係))

  • Park, Sung-soon
    • (The)Study of the Eastern Classic
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    • no.34
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    • pp.257-286
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    • 2009
  • Yi, Hang-no said that taiji(=li) was Myeong-deok(illustrious virtue), the core of mind and heart, emphasizing the sides of superintendent and mysterious ability of li. It seems that he aimed to stress the upper status of li than qi, out of earlier general theory on mind and heart recognizing both li and qi consisted in the mind and heart. Through it, he wanted to say that only human being had moral mind like taiji and upper moral status than animals which human being should keep. The reason that Yi, Hang-no emphasized the difference between li and qi was because of a critical mind that the upper value of li than qi should not be changed and it would be the most dangerous situation if the value collapsed. Like this, Yi, Hang-no's attitude emphasizing li in his theory of mind and heart eventually aimed to explain the theory of Insim(Desire to be) and Dosim(Moral Mind). Yi, Hang-no's disciples testified that their teacher, Yi, Hang-no had cost his whole life to study the theory of Insim and Dosim. This means that Yi, Hang-no had tried to discriminate between Insim and Dosim, and to block private desires in Insim. The fact that Yi, Hang-no stressed the importance of the theory of Insim and Dosim had to do with the special situation that Western Power approached Joseon dynasty. Because Yi, Hang-no opposed the Westerner's moral consciousness for individual desires, against heavenly orders. To overcome the Western challenge, Yi, Hang-no strived to notice that taiji was the core of human mind. The point that Yi, Hang-no wanted to say was that Dosim(Moral Mind) was just the heavenly orders which human being couldn't disobey. Yi, Hang-no thought that Joseon couldn't defence Western flow without this theory of Insim and Dosim. Just after French invasion(1866), Yi, Hang-no was selected as a high-leveled bureaucrat, so he insisted his opinions for rejecting heterodoxy by the letters to the throne several times. The letters also contained his theory of Insim and Dosim mainly. Insisting fight against Western Power and prohibition of trade with Western Power, Yi, Hang-no eventually emphasized the king's right mind(Dosim) as a main and sole means to achieve all the goals he said. In conclusion, Yi, Hang-no's theory on mind and heart was as it is reflected in his letters to the throne. Therefore we can see that Yi, Hang-no's theory on mind and heart had harmonized with his movement to "Rejecting Heterodoxy".

An Exploratory Study on Social Presence in Synchronous Distance Course : Focused on the Cases of Christian Education Classes (실시간 화상 수업에서의 사회적 실재감 탐색 : 기독교교육 수업 사례를 중심으로)

  • Park, Eunhye;Sung, Jihoon
    • Journal of Christian Education in Korea
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    • v.64
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    • pp.203-235
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    • 2020
  • The purpose of this study is to identify the degree of social presence perceived by students and to explore the factors that have affected it after practicing Christian Education classes as synchronous distance course due to Covid-19. It is also to suggest effective ways in the aspects of the design and operation to improve social presence. In order to measure social presence and derive influencing factors, research related to synchronous distance class and social presence is summarized through literature review. The researchers also surveyed 58 students in three courses of Christian education major at a University in Gyeonggi-do and conducted in-depth interviews with 6 students. The main findings are as follows: First, the sense of social presence was moderate, the emotional bond was the lowest by sub-factor, the open communication, the sense of community was moderate, and the mutual support and concentration were the highest. Second, factors that had a positive impact on the sense of social reality were group activities, selfintroduction activities, active participation in classes, mutual communication such as Q & A or response to peer learners' opinions during lectures by professors, questions, feedback, etc, and having a smaller number of students. Factors that had a negative impact on the perception of social presence were lack of private conversations, poor participation in classes, lack of communication with each other, and difficulty concentrating. The causes of these negative factors were technical problems and limitations arising from zoom, inconvenience and distracting surroundings, lack of time, and psychological awkwardness. Reflecting the results of the study, orientation to effective synchronous distance course, guidance on smooth communication methods, strengthening the role of professors to promote learning, strengthening group activities and learner-centered activities, and proposing a smaller scale of students were ways that are offered to improve the sense of social presence in synchronous distance courses.

A Case Study on the Development of Real-Time Interactive Class Data among Non-face-to-Face Remote Class Types (비대면 원격수업 형태 중 실시간 쌍방향 수업 자료 개발 사례 연구: 고등학교 기하 과목 공간도형 단원의 평면의 결정 요건을 중심으로)

  • Lee, Dong Gun;Ahn, Sang Jin
    • Communications of Mathematical Education
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    • v.35 no.2
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    • pp.173-191
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    • 2021
  • This study noted that a survey of teachers in a leading study conducted in Korea during the Pandemics period pointed out that the "real-time interactive" classes account for a significantly small portion of the remote class format. Contentually, the study reported cases of developing and applying "real-time interactive" class materials based on "planar decision requirements" of high school mathematics subject geometry. The teacher who participated in the development was a math teacher who worked at a Seoul-based high school with 28 years of high school teaching experience, and a teacher who was in charge of geometry in the math department in 2020. The development teacher decided to develop real-time interactive classes. In particular, the materials were developed by organizing the class guidance plan in four stages: 'Meeting and Class Guidance', 'Giving motivation', 'Suggesting tasks', 'Individual Investigative Activities and Teacher Feedback' and 'Reflection and Evaluation' which were selected through the process of selecting the class contents and selecting online class tools. At this time, the development teacher produced and presented about five minutes of video material using the videooscribe, a whiteboard animation program. And in case of task number 8, it consisted of recording the students' free thoughts after class, which served as a role of assessment by students themselves and providing feedback to their teachers. This study is a case study that introduces a series of courses in which field teachers develop class materials, and in addition to presenting class materials that can be applied directly to classes, is a result of a study that focuses on the role of presenting samples for future class data development. The materials developed were verified as class materials based on the opinions of the students who participated in the class and the results of the evaluation commissioned by the three math teachers.

Ways to Restructure Science Elective Courses in Preparation for the High School Credit System and the 2022 Revised Curriculum (고교학점제와 2022 개정 교육과정에 대비한 과학과 선택과목 재구조화 방안 탐색)

  • Lee, Il;Kwak, Youngsun
    • Journal of The Korean Association For Science Education
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    • v.41 no.2
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    • pp.145-154
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    • 2021
  • This study aims to investigate teachers' perceptions of the composition of high school science elective courses ahead of the 2022 curriculum revision, and to derive implications for the organization of the 2022 revised science curriculum in preparation for the full implementation of the high school credit system. To this end, a survey was conducted by randomly sampling high schools across the country. A total of 192 science teachers responded to the questionnaire. In addition, 12 high school science teachers were selected as a focus group, and in-depth interviews were conducted to investigate opinions on the restructuring of elective courses in science. Main research results include 129 (67.2%) science teachers in the survey answered that the current 2015 curriculum's science and elective courses system should be maintained. In the next curriculum, when reconstructing science elective subjects, it is necessary to provide an opportunity to experience the entire contents of each science field through Science I·II system as before, and to ensure student choice in preparation for the credit system. In addition, the opinion that general elective subjects should be organized to include all the contents of science I and II subjects was the highest. Through in-depth interviews, science teachers emphasized that the current science I subject system allows access to the content areas of science as much as possible as the number of subjects is small, and that subjects, such as physics, where the hierarchy of concepts is important, should deal with important content within one subject rather than divided by area. On the other hand, in the current I subject system, there is no subject for liberal arts students to choose from, so teachers suggested that science electives should be organized by subdividing each content area. Based on the research results, the necessity of organizing high school science elective courses in consideration of the purpose of the high school credit system, ways to organize science-convergence elective courses as subjects for all students regardless of career aptitude, ways to organize science-career elective courses, and ways to organize science elective courses in connection with the college admission system were proposed.

Recommender system using BERT sentiment analysis (BERT 기반 감성분석을 이용한 추천시스템)

  • Park, Ho-yeon;Kim, Kyoung-jae
    • Journal of Intelligence and Information Systems
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    • v.27 no.2
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    • pp.1-15
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    • 2021
  • If it is difficult for us to make decisions, we ask for advice from friends or people around us. When we decide to buy products online, we read anonymous reviews and buy them. With the advent of the Data-driven era, IT technology's development is spilling out many data from individuals to objects. Companies or individuals have accumulated, processed, and analyzed such a large amount of data that they can now make decisions or execute directly using data that used to depend on experts. Nowadays, the recommender system plays a vital role in determining the user's preferences to purchase goods and uses a recommender system to induce clicks on web services (Facebook, Amazon, Netflix, Youtube). For example, Youtube's recommender system, which is used by 1 billion people worldwide every month, includes videos that users like, "like" and videos they watched. Recommended system research is deeply linked to practical business. Therefore, many researchers are interested in building better solutions. Recommender systems use the information obtained from their users to generate recommendations because the development of the provided recommender systems requires information on items that are likely to be preferred by the user. We began to trust patterns and rules derived from data rather than empirical intuition through the recommender systems. The capacity and development of data have led machine learning to develop deep learning. However, such recommender systems are not all solutions. Proceeding with the recommender systems, there should be no scarcity in all data and a sufficient amount. Also, it requires detailed information about the individual. The recommender systems work correctly when these conditions operate. The recommender systems become a complex problem for both consumers and sellers when the interaction log is insufficient. Because the seller's perspective needs to make recommendations at a personal level to the consumer and receive appropriate recommendations with reliable data from the consumer's perspective. In this paper, to improve the accuracy problem for "appropriate recommendation" to consumers, the recommender systems are proposed in combination with context-based deep learning. This research is to combine user-based data to create hybrid Recommender Systems. The hybrid approach developed is not a collaborative type of Recommender Systems, but a collaborative extension that integrates user data with deep learning. Customer review data were used for the data set. Consumers buy products in online shopping malls and then evaluate product reviews. Rating reviews are based on reviews from buyers who have already purchased, giving users confidence before purchasing the product. However, the recommendation system mainly uses scores or ratings rather than reviews to suggest items purchased by many users. In fact, consumer reviews include product opinions and user sentiment that will be spent on evaluation. By incorporating these parts into the study, this paper aims to improve the recommendation system. This study is an algorithm used when individuals have difficulty in selecting an item. Consumer reviews and record patterns made it possible to rely on recommendations appropriately. The algorithm implements a recommendation system through collaborative filtering. This study's predictive accuracy is measured by Root Mean Squared Error (RMSE) and Mean Absolute Error (MAE). Netflix is strategically using the referral system in its programs through competitions that reduce RMSE every year, making fair use of predictive accuracy. Research on hybrid recommender systems combining the NLP approach for personalization recommender systems, deep learning base, etc. has been increasing. Among NLP studies, sentiment analysis began to take shape in the mid-2000s as user review data increased. Sentiment analysis is a text classification task based on machine learning. The machine learning-based sentiment analysis has a disadvantage in that it is difficult to identify the review's information expression because it is challenging to consider the text's characteristics. In this study, we propose a deep learning recommender system that utilizes BERT's sentiment analysis by minimizing the disadvantages of machine learning. This study offers a deep learning recommender system that uses BERT's sentiment analysis by reducing the disadvantages of machine learning. The comparison model was performed through a recommender system based on Naive-CF(collaborative filtering), SVD(singular value decomposition)-CF, MF(matrix factorization)-CF, BPR-MF(Bayesian personalized ranking matrix factorization)-CF, LSTM, CNN-LSTM, GRU(Gated Recurrent Units). As a result of the experiment, the recommender system based on BERT was the best.

Present Status of the Quality Assurance and Control (QA/QC) for Korean Macrozoobenthic Biological Data and Suggestions for its Improvement (해양저서동물의 정량적 자료에 대한 정도관리 현실과 개선안)

  • CHOI, JIN-WOO;KHIM, JONG SEONG;SONG, SUNG JOON;RYU, JONGSEONG;KWON, BONG-OH
    • The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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    • v.26 no.3
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    • pp.263-276
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    • 2021
  • Marine benthic organisms have been used as the indicators for the environment assessment and recently considered as a very important component in the biodiversity and ecosystem restoration. In Korean waters, the quantitative data on marine benthos was used as one of major components for the marine pollution assessment for 50 years since 1970s. The species identification which is an important factor for the quantitative biological data was mainly performed by the marine benthic ecologists. This leads to the deterioration of the data quality on marine benthos from the misidentication of major taxonomic groups due to the lack of taxonomic expertise in Korea. This taxonomic problem has not been solved until now and remains in most data from national research projects on the marine ecosystems in Korean waters. Here we introduce the quality assurance and control (QA/QC) system for the marine biological data in UK, that is, NMBAQC (Northeast Atlantic Marine Biological Analytic and Quality Control) Scheme which has been performed by private companies to solve similar species identification problems in UK. This scheme asks for all marine laboratories which want to participate to any national monitoring programs in UK to keep their identification potency at high level by the internal quality assurance systems and provides a series of taxonomic workshops and literature to increase their capability. They also performs the external quality control for the marine laboratories by performing the Ring Test using standard specimens on various faunal groups. In the case of Korea, there are few taxonomic expertise in two existing national institutions and so they can't solve the taxonomic problems in marine benthic fauna data. We would like to provide a few necessary suggestions to solve the taxonomic problems in Korean marine biological data in short-terms and long-terms: (1) the identification of all dominant species in marine biological data should be confirmed by taxonomic expertise, (2) all the national research programs should include taxonomic experts, and (3) establishing a private company, like the Korea marine organism identification association (KMOIA), which can perform the QA/QC system on the marine organisms and support all Korean marine laboratories by providing taxonomic literature and species identification workshops to enhance their potency. The last suggestion needs more efforts and time for the establishment of that taxonomic company by gathering the detailed contents and related opinions from diverse stakeholders in Korea.

A Study on the System of Private Investigation

  • Park, Jong-Ryeol;Noe, Sang-Ouk
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.1
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    • pp.167-174
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    • 2022
  • Since the Promotion Committee was established on March 25, 2021, urging the enactment of the Detective Business Act, many opinions and attention from all walks of life have been gathered. The Detective Business system, which is also one of the presidential pledges of the current 19th President Moon Jae In, is expected to be significant in that it can promote the development of a welfare state as well as efficient parts such as meeting the demand for security reinforcement services, improving the judicial system, and enhancing internationalization. In accordance with the consensus of the nine judges of the Constitutional Court that the lower part of Article 40 of the "Act on the Use and Protection of Credit Information" which prohibits the use of similar names such as investigating the general life of certain people does not violate the Constitution, detective work became possible regardless of the general life investigation. In particular, the detective job officially appeared on August 5, 2020, and it will be able to provide effective work services to the public by competing with prosecutors, police, and lawyers who have occupied exclusive positions in the field of a criminal investigations. However, although the role of detectives is gradually expanding and society is rapidly changing, illegal activities are prevalent throughout society, and more than 1,600 companies are currently operating suspiciously using the only name of "detectives", but the police are virtually letting go of the situation saying that they are "unauthorized.", and the damage is only going to the people, so at this point, the most worrisome thing is the absence of the law. Meanwhile, amid concerns over institutions overseeing illegal activities caused by the emergence of the detective industry, private security and detectives are similar to each other as in the United States, and it is expected to be able to gain public trust by entrusting the police in charge of managing and supervising private security companies. Therefore, at this time when most OECD countries except Korea legislate the Detective Business Act, prematurely allowing only the detective industry without enacting industry-related laws and systems can further fuel social confusion and hinder the detective industry along with the new fourth industry.

Problems with Comparative Research on Daesoon Thought and Shamanism as Related to Jeungsan's Concept of Grievance-Resolution (무속과 증산의 해원사상 비교를 통해 본 대순사상 연구 관점의 문제)

  • Cha, Seon-keun
    • Journal of the Daesoon Academy of Sciences
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    • v.38
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    • pp.115-151
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    • 2021
  • According to Lee Young-geum, the ideas of grievance resolution and mutual beneficence were already present in shamanism. She also insists that Jeungsan merely theorized upon these ideas by inheriting them and his religious activities must be identified from within a shamanistic worldview. Contrary to Lee's claim, Cha Seon-keun argues that the grievance resolution of Jeungsan is far beyond the contents and level of development found in shamanism. He also insists that Jeungsan's religious activities must be identified as having a certain orderly uniqueness distinct from shamanism. The argument between these two different perspectives has not attracted other researchers besides those who are directly involved. However, this debate deserves attention with regard to the problem of how one approaches a given religion and which academic perspective should be applied. Based on the perspective of the Daesoon Jinrihoe, this study examines their debate by considering four issues. Firstly, whether Jeungsan inherited or expanded upon the subject of grievance resolution and its range remains undetermined. Secondly, the ethics of mutual beneficence and grateful reciprocation in Jeungsan's concept of grievance resolution should be analyzed as to whether that idea reasserts the ethics of shamanism. Thirdly, it is necessary to study whether his method of grievance resolution fully embraced the methods of grievance resolution that exist in shamanism. Lastly, it should be determined whether or not Jeungsan's religious activities and system of thought should be identified within a shamanistic worldview. Through this review, Lee and Cha can be shown to have different opinions on the academic approach to research on religion. Accordingly, this study concludes that Lee's method of only interpreting Jeungsan's religious thought via a shamanic worldview is incompatible with academic methodology. A scholar of religious studies should discuss Jeungsan on his own merits rather than just imply that Jeungsan thoroughly reflects the worldview of shamanism, doctrinal studies of Buddhism, and Daoist thought as well as other theologies. In other words, if certain tangible and intangible elements found in shamanism, Buddhism, Confucianism, Daoism, and Christianity are also observed in Jeungsan's religious thought, it is necessary to comprehend how different or similar those elements are or whether they are re-interpreted in any manner. In the case of Lee, her method of overemphasizing similarities is now criticized as outdated. Nowadays, it is necessary to demonstrate awareness of modern religious studies tendency to pay equal attention to similarities and differences.

Importance and Priority of Indicators for Selection of Plant Species for Ecological Restoration (생태복원용 식물종 선정을 위한 지표의 중요도·우선순위)

  • Sung, Jung-Won;Shin, Hyun-Tak;Yu, Seung-Bong;Park, Seok-Gon
    • Korean Journal of Environment and Ecology
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    • v.36 no.3
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    • pp.327-337
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    • 2022
  • Ecological restoration is considered a good means to prevent biodiversity loss in terms of the ecosystem's health and sustainability. However, there are difficulties in putting it into practice as there is no comprehensive and objective standard for the selection of plant species, such as environmental, ecological factors, and restoration goal setting. Therefore, this study developed an evaluation index necessary for selecting plant species for restoration using the Delphi method that synthesizes the opinions of the expert group. A survey with 38 questionnaires was conducted twice for experts in ecological restoration, etc., and the importance and priority of evaluation indicators were analyzed by dividing the restoration targets into inland and island regions. The result of the importance analysis showed that "native plants" had the highest average of 4.9 among the evaluation indices in both inland and island regions, followed by "seed security", "propagation", and "root growth rate". In the inland region, the index priority was analyzed in the order of "native plants", "appearance frequency", "root growth rate", "distribution range", and "seed security" in the island region, it was analyzed in the order of "native plants", "root growth rate", "appearance frequency", "distribution range", and "tolerance", showing slight differences between the two indicators. As a result of the importance and priority indicator analysis, we set the mean importance and priority of 4.1 and 2.9, respectively, in the inland region and 4.2 and 2.9, respectively, in the island region. As for the criteria of selecting plant species for ecological restoration, the "native plants" had the highest importance and priority. "Seed securing", 'viability", "topography", "proliferation", "tolerance", "soil conditions", "growth characteristics", "early succession", "distribution range", "appearance frequency", and "germination rate" were classified into subgroups of low importance and priority. The lowest indicators were "final stage of succession", "transition period", 'transition stage", "root", "reproduction", "soil", "appearance", "technology", "landscape", "climate", and "germination rate". We expected that the findings through objective verification in this study would be used as evaluation indicators for selecting native plant species for ecological restoration.

Topic Modeling Insomnia Social Media Corpus using BERTopic and Building Automatic Deep Learning Classification Model (BERTopic을 활용한 불면증 소셜 데이터 토픽 모델링 및 불면증 경향 문헌 딥러닝 자동분류 모델 구축)

  • Ko, Young Soo;Lee, Soobin;Cha, Minjung;Kim, Seongdeok;Lee, Juhee;Han, Ji Yeong;Song, Min
    • Journal of the Korean Society for information Management
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    • v.39 no.2
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    • pp.111-129
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    • 2022
  • Insomnia is a chronic disease in modern society, with the number of new patients increasing by more than 20% in the last 5 years. Insomnia is a serious disease that requires diagnosis and treatment because the individual and social problems that occur when there is a lack of sleep are serious and the triggers of insomnia are complex. This study collected 5,699 data from 'insomnia', a community on 'Reddit', a social media that freely expresses opinions. Based on the International Classification of Sleep Disorders ICSD-3 standard and the guidelines with the help of experts, the insomnia corpus was constructed by tagging them as insomnia tendency documents and non-insomnia tendency documents. Five deep learning language models (BERT, RoBERTa, ALBERT, ELECTRA, XLNet) were trained using the constructed insomnia corpus as training data. As a result of performance evaluation, RoBERTa showed the highest performance with an accuracy of 81.33%. In order to in-depth analysis of insomnia social data, topic modeling was performed using the newly emerged BERTopic method by supplementing the weaknesses of LDA, which is widely used in the past. As a result of the analysis, 8 subject groups ('Negative emotions', 'Advice and help and gratitude', 'Insomnia-related diseases', 'Sleeping pills', 'Exercise and eating habits', 'Physical characteristics', 'Activity characteristics', 'Environmental characteristics') could be confirmed. Users expressed negative emotions and sought help and advice from the Reddit insomnia community. In addition, they mentioned diseases related to insomnia, shared discourse on the use of sleeping pills, and expressed interest in exercise and eating habits. As insomnia-related characteristics, we found physical characteristics such as breathing, pregnancy, and heart, active characteristics such as zombies, hypnic jerk, and groggy, and environmental characteristics such as sunlight, blankets, temperature, and naps.