The purpose of this research was to conduct grounded-theory-based explorations on the types of motivation that make pre-service elementary school teachers learn science and on their type-based science-learning processes. One hundred thirty-two pre-service elementary school teachers' motivation types were analyzed, and amongst them, 12 were selected as the subjects to observe their science-learning processes to which grounded theory applied. As a result of analyzing their science-learning motivation types, it was found that the majority belonged to the type "accurators", followed in descending order by the types "directors", "explorers", and "coordinators". Coding various phenomena that appeared in their science-learning processes made it possible to derive 30 categories from them according to the grounded-theory paradigm model elements. Based on such categories derived, analysis could be made on their science-learning process flows by motivation types, according to the grounded-theory paradigm model. For example, the "accurators" were attending science lectures or reading science books to learn science knowledge and how to teach it, from a sense of obligation they took for granted as elementary school teachers. Although their experiences of science-learning processes could not be from pure intentions, due to the teacher certification examination, curriculum, or other environmental factors, they were found to have new perspectives on science with their individual efforts and participations.
Yoo, Hye-jin;Park, Jisun;Lederman, Judith S.;Lederman, Norman G.;Bartels, Selina;Jimenez, Juan
Journal of The Korean Association For Science Education
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v.41
no.2
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pp.83-92
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2021
The purpose of this study is to investigate elementary school students' understandings about scientific inquiry. Data were collected from 119 elementary students who are in the 4th grade using the Views About Scientific Inquiry questionnaire for elementary students (VASI-E). We also conducted semi-structured interviews of 21 students from 119 students who responded to VASI-E. Students' responses were analyzed as naive, mixed, or informed views on each aspect of scientific inquiry that VASI-E includes. We found that, first, 53.8% of students have mixed views, and 30.3% of students have informed views, and 16% of students have naive views on the knowledge 'investigation begin with a question'. Second, 54.6% of students have naive views, 37.8% of students have mixed views, and 7.6% of students have informed views on the knowledge 'scientists use many methods to answer their questions.' Third, 47.9% of students have informed views, 34.5% of students have naive views, and 17.6% of students have mixed views on 'procedures guided by question asked.' Fourth, 55.5% of students have mixed views, 42% of students have informed views, and only 2.5% of students have naive views on 'conclusions must be consistent with data and explanations come from data and prior knowledge.' Based on the results, implications for teaching and learning scientific inquiry at elementary level in Korea were discussed.
This study conducted a big data analysis on news to identify the agenda of media literacy, which has been socially discussed, and on which relevant policy directions will be proposed. To this end 1,336 articles from January 1, 2019 to September 30, 2020 were collected and a topic modeling analysis was conducted according to four periods. Five topics for each period were derived through the analysis, and implications based on the results are as follows. First, the government should implement a nation-level systematic approach to media literacy education according to life cycle stages to generate economic and cultural value. Second, local communities and schools should provide systematic support and education guidance activities to ensure a sustainable ecosystem for media literacy and prevent an educational gap and loss in learning. Third, efforts should be made in various aspects to minimize the side effects resulting from constantly providing media literacy education; furthermore a culture of desirable media application should be established. Finally, a research environment for scientific research on media literacy, active exchange of experience and value obtained in the field, and long-term accumulation of research results should be encouraged to develop a robust knowledge exchange culture.
Journal of Korean Library and Information Science Society
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v.52
no.2
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pp.331-355
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2021
The purpose of this study is to derive the implications of operating the Media and Information Literacy (MIL) curriculum in Korea through analysis of MIL curriculum and guidance in the Philippines. The Philippine Ministry of Education runs the MIL as a core subject that high school students in grades 2-3 had to complete. MIL in the Philippines is a tool curriculum that integrates information, media, and digital literacy. In the MIL curriculum, a total of 17 units are designed to be operated for a total of 80 hours, 20 weeks in a semester. And it presents two content criteria, two achievement criteria and 58 learning competencies. The implications drawn from the research results are as follows. First, the chapter presented in the MIL curriculum can be composed only of the knowledge of a higher category or core concept of subject content. Second, it is necessary to present the concept of the term used in the MIL curriculum and specific examples according to the concept. Third, it is necessary to specify the contents necessary for practice in the MIL textbook and to strengthen the competence for the function. MIL, proposed by UNESCO and designated and operated as a subject in the Philippines, needs to be designated as a subject in Korea and operated as a curriculum.
In mathematics classes, the verbal explanation may contain diverse mathematical concepts and principles in short sentences. It may also include mathematics symbols and terms that might not be used in everyday life. Therefore, students may need particular listening ability in order to understand and participate in mathematics communication. Unlike general listening, the listening ability for mathematics classes may require student to integrate their mathematical and linguistic knowledge. The aim of this study is to reveal the subdomains of listening ability for mathematics classes in a elementary school. I categorized listening ability for mathematics classes in a elementary school from the literature. The categories of listening ability for mathematics are Interpretive Listening, Evaluative Listening, Hermeneutic Listening, Selective Listening, Pretend Listening, and Ignored Listening. In order to develop a framework for understanding listening ability for mathematics classes, I investigated a hierarchy of 412 South Korean elementary teachers' perception. Through a web-based survey, the teachers were asked to rank order their beliefs about and students' listening ability. Findings show that teachers' perceptions about listening ability for mathematics classes are divergent from current research trends. South Korean elementary teachers perceived Interpretive Listening as the most important listening.
This study was conducted to investigate the staging principle, the staging work and the trial performance of Shingeuk troupe Geukyesulyeonguhoe during the period of coterie system, focusing on Gogol work·Ham Daehoon translation·Hong Haeseong directing's (5Act). As a result, the first trial performance was based on a faithful full-scale description rather than an interpretive directing of play. It was a performance that focused on copying and implanting the external form of the performance stage of Shingeki troupe Tsukiji Little Theater. The general review of the time was summarized to the point that it was a relatively successful performance that exceeded expectations as a trial demonstration of amateur actors. However, in terms of the content of play and the form of performance, reservations and lack of contemporary(modern) interpretation caused the problem that the general audience was alienated. Therefore, it was difficult to achieve the effect of reflecting the reality of Chosun through , as Geukyesulyeonguhoe intended.
Journal of the Korean Society for Library and Information Science
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v.56
no.1
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pp.201-220
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2022
This study suggests a theoretical model of information literacy instructions in the context of the Extended Essay included in IB(International Baccalaureate) Diploma Program Core. The study particularly analyzed I-LEARN model as a model to teach and learn with information for inquiry-based learning since the model was developed for the purpose of learning with information. Some school districts in Korea adapted IB programs to address the need for better education. Findings indicate the followings. First, students can achieve deep understanding by applying a model of information literacy instructions that provides scaffolding. Second, the expected roles of school librarians in information literacy instructions for Extended Essay are process specialists, teachers, and instructional partners. Third, I-LEARN model is appropriate as a framework to teach information literacy skills for inquiry needed for Extended Essay. Fourth, I-LEARN assessment rubric is useful in assessing the process and outcomes of students' information seeking and use. Implications include that school librarians should develop themselves as experts in information literacy instructions for inquiry-based learning such as Extended Essay, and that Korean schools recognize the crucial role of school librarians in teaching information literacy skills for inquiry-based learinng.
Journal of The Korean Association For Science Education
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v.42
no.4
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pp.429-438
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2022
In this study, we propose a way to improve science teacher expertise through infographics creation teacher training program by analyzing the infographics types focusing on the Earth Science subject of the 2015 revised curriculum, and inspecting the teachers' utilization of graphic tools. The data visualization characteristics of Earth Science textbooks were analyzed, the execution results of the infographics creation teacher training program were presented, and a survey on science teachers' change in perception and competency of infographics. As a result of the Earth Science textbook analysis, diagram-type, map-type, and comparative analysis-type infographics were frequently used, and were mainly presented as text-assisted-type infographics. The infographics creation teacher training program was conducted five times for 112 science teachers to create the complete, text-assisted, incomplete, and gradient-type infographics. Incomplete infographics for development of evaluation questions were most needed. Although many science teachers recognize the importance of infographics, they lacked the competency to create high-quality infographics because there were no training opportunities for infographics creation. After completing the training, 74.1% of teachers felt that the quality of developments of supplementary textbooks and evaluation questions had improved, and answered that it was helpful in re-educating knowledge and improving teaching-learning methods. Based on the research results, ways to improve science teacher expertise through infographics creation teacher training program were suggested.
This study explored the effects of pre-service elementary teachers' inquiries into science class dilemmas. By closely examining the characteristics of the pre-service teachers' inquiry processes and changes in their educational decisions, the effectiveness of using dilemmas as part of teacher education was determined. Twenty fourth-year university pre-service teachers participated and conducted inquiries into science class dilemmas over seven weeks. Based on pre- and post-questionnaires, KWHL tables, inquiry reports, discussions, and group class presentations, the major factors that influence the pre-service teacher's decision-making changes were extracted. The pre-service teachers found the science inquiry process meaningful when exploring the science topics covered in the dilemmas, and claimed that elementary school students would be able to engage in meaningful science explorations if they learned science through inquiry. Furthermore, the pre-service teachers explored the thinking processes and background knowledge of the students in different ways. Documents such as teacher's guides and the curriculum were examined and the students' thought processes were identified through interviews with the teachers and students, which were found to reflect their educational decision-making. Moreover, it was recognized by the pre-service teachers that depending on the situation, alternative teaching methods were possible. The focus on the unstructured dilemma problems provided the pre-service teachers with problem-solving situations that triggered scientific inquiry and exploration of student thinking and revealed the complexity of science teaching and learning. Based on these results, the teacher education implications for using dilemma cases are discussed.
KIPS Transactions on Software and Data Engineering
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v.12
no.8
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pp.355-364
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2023
As advanced cyber threats continue to increase in recent years, it is difficult to detect new types of cyber attacks with existing pattern or signature-based intrusion detection method. Therefore, research on anomaly detection methods using data learning-based artificial intelligence technology is increasing. In addition, supervised learning-based anomaly detection methods are difficult to use in real environments because they require sufficient labeled data for learning. Research on an unsupervised learning-based method that learns from normal data and detects an anomaly by finding a pattern in the data itself has been actively conducted. Therefore, this study aims to extract a latent vector that preserves useful sequence information from sequence log data and develop an anomaly detection learning model using the extracted latent vector. Word2Vec was used to create a dense vector representation corresponding to the characteristics of each sequence, and an unsupervised autoencoder was developed to extract latent vectors from sequence data expressed as dense vectors. The developed autoencoder model is a recurrent neural network GRU (Gated Recurrent Unit) based denoising autoencoder suitable for sequence data, a one-dimensional convolutional neural network-based autoencoder to solve the limited short-term memory problem that GRU can have, and an autoencoder combining GRU and one-dimensional convolution was used. The data used in the experiment is time-series-based NGIDS (Next Generation IDS Dataset) data, and as a result of the experiment, an autoencoder that combines GRU and one-dimensional convolution is better than a model using a GRU-based autoencoder or a one-dimensional convolution-based autoencoder. It was efficient in terms of learning time for extracting useful latent patterns from training data, and showed stable performance with smaller fluctuations in anomaly detection performance.
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