• Journal of the Korean Society of Safety
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• v.29 no.4
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• pp.140-146
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• 2014

This paper presents a case study to develop e-learning contents of agricultural safety based on the assessment of risks of 4 selected crops and stock farming: rice, potatoes, apples, tomatoes and stock raising. The aged farmers, who are main workforce of current Korean agriculture and relatively more vulnerable to various risks of agricultural work compared to younger workers, were considered as the main users of the contents in developing them. The safety guidelines were presented as simple as possible and the interfaces were designed to be simple and easy to use so that the older users can use it without much difficulty. In making the scenarios of the contents, risk assessments were carried out for each crop and stock farming with the focus being on occupational diseases rather than accidental injuries. To make the contents more attractive to the farmers, the functions requiring active responses from the users, such as answering simple questions, were included in the contents. Usability evaluation by experts of ergonomics and agricultural tasks were carried out in modifying the draft version, whereas formal usability test was not included in the case study. Though there are some limitations in the developed contents in the aspects of evaluation of usability and effectiveness, this case study shows the structured procedure of developing e-learning safety contents based on the risk assessments on agricultural tasks. The developed e-learning contents are expected to be used practically and easily in educating and training older farmers about safety and health of agricultural tasks.

• 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.

• Journal of The Korean Association For Science Education
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• v.23 no.4
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• pp.360-374
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• 2003

The idea that students must experience cognitive conflict before conceptual change can occur is not new. In light of this idea, many teaching strategies have been applied in educational practices. However, there is not much literature about how students are experiencing cognitive conflict, how this experience affects students learning processes, and how we use that knowledge to improve our science instruction. This study aimed to propose possible answers about these questions. In this paper, we conducted the first question as a first part of our research. To do this, we reviewed related literature and analyzed protocols that were produced in previous studies. As a result, a model of cognitive conflict was developed. This study's findings may lead to further understanding and use of students' cognitive conflict, which has a complex role in science instruction.

• Proceedings of the KSPS conference
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• 2000.07a
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• pp.301-311
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• 2000

The purpose of this paper is to explore the use of reaction signals by Japanese and English speakers. After collecting data from Japanese and English speakers, American and British, I checked them and decided to be concerned with five of them: ah, eh, oh, m, and ${\partial}:m$. At first I thought that the first three of them resembled in form and in their tones and meanings, while the others occur frequently only in English. But as I was reading the data more in detail I found the reason for too frequent use of the signal eh by Japanese. It is also found that the signal eh is a kind of substitute for a real word, the similar linguistic phenomenon is seen in the use of m, and m seems to be different from ${\partial}:m$ in its function, according to whether the speaker is talkative or not. And American students learning Japanese started their Japanese with an English reaction signal and the reverse phenomenon was found with Japanese students speaking in English, so much so that reaction signals are used spontaneously, though they have various tones and meanings.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.103-109
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• 2021

The study aimed to analyze the current situation of the electronic portal of the Northern Border University, in terms of content and components, the extent of quality of use, service assurance and integrity, linguistic coverage of objective content, in addition to assessing the efficiency of the Blackboard e-learning platform and measuring the degree of safety of the portal, in addition to measuring the extent of satisfaction, through a sample that included 135 faculty members, as the researcher was keen to apply the case study methodology with the use of the questionnaire as the main tool for measurement, and the study found that there is an average trend among faculty members in the degree of content for the components of the portal and electronic security While it rose to good use, and very good at using the Blackboard platform.

• Journal of Computing Science and Engineering
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• v.6 no.2
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• pp.143-150
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• 2012

Computational techniques for topic classification can support qualitative research by automatically applying labels in preparation for qualitative analyses. This paper presents an evaluation of supervised learning techniques applied to one such use case, namely, that of labeling emotions, instructions and information in suicide notes. We train a collection of one-versus-all binary support vector machine classifiers, using cost-sensitive learning to deal with class imbalance. The features investigated range from a simple bag-of-words and n-grams over stems, to information drawn from syntactic dependency analysis and WordNet synonym sets. The experimental results are complemented by an analysis of systematic errors in both the output of our system and the gold-standard annotations.

• Journal of Power Electronics
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• v.14 no.1
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• pp.74-81
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• 2014

In this study, a brain emotional learning-based intelligent controller (BELBIC) is developed for the speed control of an interior permanent magnet synchronous motor (IPMSM). A novel and simple model of the IPMSM drive structure is established with the intelligent control system, which controls motor speed accurately without the use of any conventional PI controllers and is independent of motor parameters. This study is conducted in both real time and simulation with a new control plant for a laboratory 3 ph, 3.8 Nm IPMSM digital signal processor (DSP)-based drive system. This DSP-based drive system is then compared with conventional BELBIC and an optimized conventional PI controller. Results show that the proposed method performs better than the other controllers and exhibits excellent control characteristics, such as fast response, simple implementation, and robustness with respect to disturbances and manufacturing imperfections.

• Steel and Composite Structures
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• v.29 no.3
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• pp.309-318
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• 2018

Steel girders are the structural members often used for passing long spans. Mostly being subjected to patch loading, or concentrated loading, steel girders are likely to face sudden deformation or damage e.g., web breathing. Horizontal or vertical stiffeners are employed to overcome this phenomenon. This study aims at assessing the feasibility of a machine learning method, namely the support vector machines (SVM) in predicting the patch loading resistance of longitudinally stiffened webs. A database consisting of 162 test data is utilized to develop SVM models and the model with best performance is selected for further inspection. Existing formulations proposed by other researchers are also investigated for comparison. BS5400 and other existing models (model I, model II and model III) appear to yield underestimated predictions with a large scatter; i.e., mean experimental-to-predicted ratios of 1.517, 1.092, 1.155 and 1.256, respectively; whereas the selected SVM model has high prediction accuracy with significantly less scatter. Robust nature and accurate predictions of SVM confirms its feasibility of potential use in solving complex engineering problems.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1998.06a
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• pp.170-175
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• 1998

Transporting a large table using multiple robotic agents requires at least two group behaviors of homing and herding which are to bo coordinated in a proper sequence. Existing GP methods for multi-agent learning are not practical enough to find an optimal solution in this domain. To evolve this kind of complex cooperative behavior we use a novel method called fitness switching. This method maintains a pool of basis fitness functions each of which corresponds to a primitive group behavior. The basis functions are then progressively combined into more complex fitness functions to co-evolve more complex behavior. The performance of the presented method is compared with that of two conventional methods. Experimental results show that coevolutionary fitness switching provides an effective mechanism for evolving complex emergent behavior which may not be solved by simple genetic programming.

• Research in Mathematical Education
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• v.14 no.3
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• pp.281-297
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• 2010

This paper pretends to study the potentialities of feedback, particularly in the development of a written report in two phases and in portfolio; and the main difficulties that teachers has to face concerning this assessment practice. Through a meta-analysis concerning different studies, it is possible to say that oral or written feedback, intentionally provided to students of several ages, may enable them to develop their self-assessment capacity and to get close of the expected product. However, the type of student and his or her perceptions may influence the effectiveness of feedback. Even for experience teachers, this practice maintains complex.