• Explosives and Blasting
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• v.38 no.4
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• pp.16-25
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• 2020

Multi-setting smart-investigation of the ground and large uncharged hole boring (MSP) method to reduce the blast-induced vibration in a tunnel excavation is carried out over 50m of long-distance boring in a horizontal direction and thus has been accompanied by deviations in boring alignment because of the heavy and one-directional rotation of the rod. Therefore, the deviation has been adjusted through the boring machine's variable setting rely on the previous construction records and expert's experience. However, the geological characteristics, machine conditions, and inexperienced workers have caused significant deviation from the target alignment. The excessive deviation from the boring target may cause a delay in the construction schedule and economic losses. A deep learning-based prediction model has been developed to discover an ideal initial setting of the MSP machine. Dropout, early stopping, pre-training techniques have been employed to prevent overfitting in the training phase and, significantly improved the prediction results. These results showed the high possibility of developing the model to suggest the boring machine's optimum initial setting. We expect that optimized setting guidelines can be further developed through the continuous addition of the data and the additional consideration of the other factors.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.1
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• pp.167-188
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• 2023

This study reviewed the current status of low-experienced teacher librarians with less than 5 years and attempted to identify their educational needs through IPA analysis, Borich Priority Formula, and The Locus for Focus Model. A survey was conducted on low-experienced teacher librarians with less than 5 years of experience to analyze their process in the pre-service teacher training and experiences before an appointment and to identify teacher librarians instructional expertise. The results of the analysis of the study are as follows. First, there was a statistically significant difference between the importance and performance in all areas of instructional expertise of low-experienced teacher librarians. Second, 'reading education-practice progress' was recognized as a 'Keep up good work' with high importance and satisfaction, and 'library-based instruction planning, progress evaluation', 'information literacy-curriculum design', and 'digital and media literacy education-progress and evaluation' were recognized as areas of 'Concentrate here' through IPA analysis. Third, In the Borich Priority Formula, 'teaching-learning evaluation', 'teaching-learning progress', and 'teaching-learning plan' in the Library based instruction area showed the highest educational needs. Fourth, the library-based instruction was shown to the high discrepancy/high importancy area as same as the Borich Proity Formula. The results of this study can provide implications for improving the instructional expertise of teacher librarians.

• Journal of The Korean Association For Science Education
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• v.35 no.1
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• pp.1-14
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• 2015

The purpose of this study is to examine North Korean defector students' characteristics in science learning through their voice in an "Angbuilgu" program, one of the Korean traditional science knowledge (TSK). We compared them with two other groups of contrasting backgrounds. The Angbuilgu program contains meaningful questions of time, everyday-life knowledge, Korean TSK, and western modern science (WMS). The teaching strategy consists of interactions between teacher and students, and scientific experiments. We applied this program to three groups and analyzed: North Korean defector students, elementary science gifted students, high school students in an advanced class. The characteristics of their science learning show the following: First, their interpretation of time as nature itself in their everyday life. They have rich experience and are familiar with time in nature. Second, they prefer science with complementary, caring, and humanist perspectives, which is in contrast to other groups with preference to the updated and practical science. Third, they lack scientific concepts but possess an abundance of everyday-life knowledge. Their linguistic expressions are ordinary rather than scientific. Fourth, they are familiar with narrative thinking more than scientific thinking. The results show that the science program using Korean TSK can help them accept new scientific knowledge as well as cultural pride, which plays a role in reconfirming their identity as one ethnicity. We expect that the contents of Korean TSK can be an intercultural field between North Korean defector students and our science curriculum.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.607-619
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• 2019

This study used Natural Monument water spiders and their habitats as educational contents, so those students could have a scientific literacy and the beautiful memories of Eundaeri's marshes through developing a virtual fieldwork courses (VFC) and observing the ecology of water spiders. In order to develop the program, the 2015 revised national curriculum and its textbooks were analyzed. In accordance with the STEAM model, we developed teaching-learning materials for 7 classes. Students produced 3D panorama virtual fieldwork courses (PVFC) about water spider by team-based cooperative learning, enabling them to emotionally experience the meaning and value of water spiders. A panel of six education experts verified the validity of the program and found it to be fairly valid at 4.24 (CVI = .88) on the 5-point Likert scale. In order to confirm the suitability of the program, students in the middle school science clubs participated in pilot testing camp. Their average classes satisfaction was 4.24 and students were very satisfied with the usefulness of the program, the fresh learning contents, and the suitability of the convergence education class. This study could contribute to convergence education related to ecology and virtual reality for adolescents.

• Journal of Korean Elementary Science Education
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• v.41 no.1
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• pp.30-43
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• 2022

In this study, elementary students' science communication competence was investigated based on the grammatical features expressed in their language-use in classroom discourse and science writings. The classes were designed to integrate the evidence-based reasoning framework and traditional learning cycle and were conducted on fifth graders in an elementary school. Eight elementary students' discourse data and writings were analyzed using lexico-grammatical resource analysis, which examined the discourse text's content and logical relations. The results revealed that the student language used in analyzing data, interpreting evidence, or constructing explanations did not precisely conform to the grammatical features in science language use. However, they provided examples of grammatical metaphors by nominalizing observed events in the classroom discourses and those of causal relations in their writings. Thus, elementary students can use science language grammatically from science language-use experiences through listening to a teacher's instructional discourses or recognizing the grammatical structures of science texts in workbooks. The opportunities in which elementary students experience the language-use model in science learning need to be offered to understand the appropriate language use in the epistemic context of evidence-based reasoning and learn literacy skills in science.

• Environmental and Resource Economics Review
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• v.17 no.3
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• pp.135-166
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• 2008

This paper reports the empirical results of comparing the willingness to pay(WTP) for health risk reductions and the willingness to accept(WTA) for risk increases using experimental market methods in the first time in Korea. Health risks were defined as probabilities of premature death from exposure to one of As, Pb, and THM in tap water. A total of six experimental markets with 15 participants in each experiments were held using 20 repetitive Vickrey second-price sealed-bid auctions. To compare the effects of market experiences, trading a marketed good, candy bar, was introduced before the trading the non-marketed good, drinking water risks. Moreover, an objective risk information was provided after the first 10 trials to incorporate learning processes. Regardless of marketed or non-marketed goods, the mean of WTA exceeded the mean of WTP at the first auction trial. As experimental trials proceeded, the disparity between WTA and WTP for marketed goods disappeared. However results for non-marketed goods were rather mixed to the extent that WTA for health risks from As (relatively high risk leves) were significantly larger than WTP, while there were no significant difference between WTA and WTP for health risks fro Pb and THM (relatively low risk levels). On the other hand, participants seemed to respond in a 'rational' manner to the objective risk information provided, with positive learning effects of market-like experience(especially in the WTA experiments).

• Journal of The Korean Association For Science Education
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• v.35 no.4
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• pp.665-676
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• 2015

In this case study, we analyzed the processes of STEAM lessons conducted by preservice secondary science teachers. Three preservice science teachers at a college of education in Seoul participated in this study. After the workshop for STEAM education, they planned and practiced STEAM lessons. All of the teaching-learning materials were collected before lessons, and their lessons were observed and videotaped. Semi-structured interviews were also conducted before and after their lessons. The processes of STEAM lessons were analyzed while focusing on PCK and PDC. Their difficulties, needs, and views on STEAM education were also studied. It was found that they have taken much efforts to reflect the objectives and characteristics of STEAM education, and prepared teaching-learning materials by searching on the internet and arranging creative contents. Their great difficulty was to determine topics for STEAM lessons. While one preservice teacher satisfied with her lesson perceived STEAM education positively, the others perceived that it would be very difficult to practice STEAM lessons in school. For their STEAM lessons to be successful, the workshop needs to include some specific information on grades, proper topics for each grade, ways of making materials, and tips for effective STEAM lessons. In addition, it will be effective if the workshop is carried out after their study on constructivist learning theory and if they experience successful STEAM lessons.

• Journal of the Korean Chemical Society
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• v.64 no.6
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• pp.429-437
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• 2020

This study investigated a total of 529 integrated science teachers' implementation and changes to apply the curriculum-instruction-assessment. Data was collected through online survey on scientific competencies and skills, teaching-learning and assessment methods, changes of teacher's preparation, topics/materials, teaching-learning, and assessment to apply the curriculum-instruction-assessment as teaching integrated science. The results of the study were as follows: first, in the integrated science class, teachers implemented more on scientific communication and scientific inquiry among scientific core competencies, and analysis and interpretation of data collection and communication among scientific skills. Teachers often taught in lectures and used multiple choice items and short essay for evaluation. Teacher groups with less than 10 years of teaching experience appeared to be less active in teaching scientific core competencies and skills than those with more than 10 years. Second, Teachers have increased more time and efforts to search and to organize various materials in addition to textbooks, and try to integrated concepts in various fields to prepare learning topics and textbooks. Third, even though teachers made little change in implementing the process-oriented assessment, they used instructional strategies to increase student engagement in the integrated science class, restructured the instruction to provide immediate feedback after conducting the assessment. It is necessary to build a system that ensures fairness and credibility of evaluation while respecting the autonomy and professionalism of teachers.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.12 no.1
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• pp.59-64
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• 2008

In this paper, we developed an virtual lecture to study digital logic circuits. The contents is intended fer the students without or with little knowledge about electrics or electronics. For the beginners, the lecture contains the basic electronics and basic circuit theory as well as the degital logic circuits to be more practical lecture. And we developed the virtual circuit lab which uses real-like devices, circuits and interactive objects for the students to experience practical digital circuits. With the features described above, this contents would be useful for the beginners who want to studying digital logic circuits.

• The Mathematical Education
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• v.62 no.2
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• pp.289-302
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• 2023

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.