• Journal of Fashion Business
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• v.26 no.1
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• pp.105-118
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• 2022

This study investigated the effective pedagogical strategies for sewing by examining the efficacy of sewing videos as supplemental learning materials and demonstration tools. Sewing videos were created for face-to-face apparel construction courses, and students' opinions on sewing videos as an educational tool were collected. Videos with subtitles were offered to Apparel Construction Course 1, whereas videos with narration and subtitles were offered to Apparel Construction Course 2. As "supplemental learning materials," students rated videos as more effective for learning and satisfying than "documents with text and images." The effectiveness and satisfaction scores for Apparel Construction Course 2 were significantly higher than those for Apparel Construction Course 1. Furthermore, videos were utilized significantly more than documents, and most students preferred videos over documents. The main benefits of videos as supplemental learning materials were repetitive learning at the learner's convenience and the detailed presentation of the sewing process. Students regarded narration as more effective and satisfying than subtitles. Narrations were expected to be offered along with subtitles. As "demonstration tools," students rated videos as more effective for learning and satisfying than traditional "sewing samples." Students preferred "demonstration with videos" to "demonstration with sewing samples." The main benefits of video demonstration were a close-up view, presentation of the entire sewing process, and shorter wait time without the need for group teaching. Students wanted more sewing videos and narrations to be offered, and various sewing machine feet to be used in the videos. Educational methods for sewing were suggested based on student opinions.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.67-73
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• 2003

The cyber-education is fully recognized and proliferated such as to Internet language centers or virtual universities, and so on. However, the acquisition of e-learning tools as well as the construction of educational contents are quite difficult tasks. Therefore, in this study, important information for the acquisition of hardwares such as multimedia editing tools, servers, educational facilities is suggested, and the critical success factors for the acquisition of cyber educational solution softwares such as authoring tools and loaming management systems are proposed.

• The Journal of Korean Association of Computer Education
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• v.3 no.1
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• pp.31-41
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• 2000

Since the use of computer-mediated communication(CMC) systems has been steadily increasing in the teaching and learning environments, this study attempted to describe some of instructional strategies which can be employed as a medium of cooperative learning. One of the best way to conduct network-assisted instruction is to embed such a medium into cooperative learning. Network-assisted cooperative learning maximizes students' own learning and each other's learning using CMC, in which students can actively participate in their learning processes. The characteristics of CMC-transmission and search of information, interactivity, time and place independence-assist and enhance cooperative learning. In this study, the instructional strategies for cooperative learning via CMC are suggested as following: (1) choose the instructional goals, (2) structure positive interdependence, (3) select guidelines for grouping, (4) train cooperative skills to students, (5) set up the environments such as electronic bulletin-board, and (6) develop assessment tools. Finally, this study suggests that potentials of network-assisted cooperative learning can be realized by providing environments and thinking tools for cooperative learning. Appropriate theory and practice need to be followed up to support the cooperative learning systems.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.327-329
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• 2022

Education is affected by technical and scientific developments. Progress in one of these areas leads give way to new educational methods and strategies. One of these advanced learning modes is what has been conventionally termed as Micro-learning (ML). It has emerged in educational technology as a result of advances in information technology as well as advances in research in memory, brain, and social-cognitive processes.In this paper, the researcher discusses micro-learning in terms of its concepts, tools, and associated concepts, advantages and disadvantages.

• Korean Journal of Comparative Education
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• v.24 no.3
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• pp.101-125
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• 2014

The purpose of this study is to analyze comparatively adult literacy surveys of UK, France and Germany who have developed their own adult literacy survey tools independently. The results of the study show that these three countries are similar in that all of them utilize literacy survey tools linked to their own adult literacy policies. The survey tools of the countries are based on the definition of adult literacy as functional literacy and everyday life skill. The criteria of adult literacy levels are differentiated in the context of the countries. And SQC model is adopted as the main model of developing the survey tools. Through this analysis, the following implications could be obtained to improve Korean adult literacy survey. It needs 1) to unify execution subjects of adult literacy survey and adult literacy policy. 2) to develop survey tools reflecting everyday life, 3) to make tools into module form, 4) to pursue the efficiency of cost and utilization of tools.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.26 no.3
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• pp.139-145
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• 2020

The purpose of this study is to share the experience of online education with departments related to the servic industry, such as distribution and logistics, in the New Normal Age of COVID-19 pandemics. The graduation presentation project, which is the capstone design subject and the most urgent subject for face-to-face classes, was selected as the online education subject of this study. The results of this study are as follows : First, several online class tools, such as Zoom, Microsoft Teams, and Google Meet, have also been shown to be applicable to capstone design subjects such as graduation presentation projects. Second, it is essential to reorganize the curriculum to enhance students' ability to practice and utilize online contents. Third, continuous education and training are needed to make easy use of the aforementioned online teaching tools. Meanwhile, fourth, further research is needed to solve the learning effects caused by online learning, and difficulties in communication.

• Journal of Engineering Education Research
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• v.27 no.3
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• pp.3-13
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• 2024

Since the launch of ChatGPT, many college students used it extensively in various ways in their curricular learning activities. This study investigates the utilization of ChatGPT in the curriculum of first and second-year engineering students, aiming to examine its influence from a learner perspective. We explored how ChatGPT is used in each subject and learning activity to understand how learners perceive the use of ChatGPT. From the survey data on engineering college students at E university, we examined students' perception on 'shortening time to perform tasks' through ChatGPT, 'dependence on ChatGPT', 'their contribution to individual capacity building', and 'their influence on academic grade'. The majority of students reported extensive use of ChatGPT for learning activities, particularly showing high dependency in liberal arts subjects and coding-related activities. While the use of ChatGPT in liberal arts was seen as not contributing to the enhancement of individual capacity, its use in coding was positively evaluated. Furthermore, the contribution of ChatGPT to the creativity in report writing tasks was highly rated. These findings offer several important implications for the use of AI tools like ChatGPT in engineering education. Firstly, the positive impact of ChatGPT's high usability and individual-capacity enhancement in coding should be expanded to other areas of learning. Secondly, as AI technology progresses, the contribution of AI tools compared to learners is expected to increase, suggesting that students should be encouraged to effectively use AI tools to achieve their learning objectives while maintaining a balanced approach to avoid overreliance on AI.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1993.04b
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• pp.71-75
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• 1993

The application of artificial neural network forcondition monitoring and diagnosis of milling tools was introduced. To detect the conditions of milling tools, the monitoring wywtem consists of three phases: "preparation phase", "learning phase", "production phase". The conditions of milling tools were categorized into the three states. "normal", "warning", "abnormal". The dectection of tool condition, in this paper, could be successfully performed by monitoring the variation of power spectrum on Y dirctional cutting force.

• The Journal of Korean Academic Society of Nursing Education
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• v.14 no.1
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• pp.63-72
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• 2008

Purpose: This study focused on two aspects: 1) how to design and implement a mobile learning course which is facilitated by a PDA with a web-based class homepage as a tool for mobile learning; 2) how to increase and enhance interactive activities among and between the students and the faculty members by utilizing a PDA as a tool for communication as well as collaboration. Method: To analyze the results of the m-Learning course, data was collected from interviews with the involved two faculty members and a survey from 27 students. Result: The results showed a positive outcome of the m-Learning approach in terms of a more collaborative learning environment in a clinical course where the students practice their clinical activities out of the classroom, far from their faculty members. On the other hand, the problems of the m-Learning approach were that more thorough preparation was needed for the new tools from both the students and the faculty members in preparation in social, cultural, and mental aspects, not withstanding the assumed technical limits of a PDA. Conclusion: m-Learning must be more actively implemented in classes, even though several problems were noticed in terms of both technical aspects of the tools, and social and cultural aspects from the users.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.735-743
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• 2020

Secure coding is a technique that detects malicious attack or unexpected errors to make software systems resilient against such circumstances. In many cases secure coding relies on static analysis tools to find vulnerable patterns and contaminated data in advance. However, secure coding has the disadvantage of being dependent on rule-sets, and accurate diagnosis is difficult as the complexity of static analysis tools increases. In order to support secure coding, we apply machine learning techniques, such as DNN, CNN and RNN to investigate into finding major weakness patterns shown in secure development coding guides and present machine learning models and experimental results. We believe that machine learning techniques can support detecting security weakness along with static analysis techniques.