• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.537-540
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• 2004

Development of Learning system and learning activity based on web in accedence with development of information communication technology are active. From teaming system with web, teaching-teaming data for student's leaning level is not systematic and interactions between students and teachers are insufficiency. Only result of teaming evaluation is showed not supply reason what is correct or not and there is no relationship or linking deeping teaming. In this paper, we tried to improve the interaction between teachers and students by analyzing study system through virtual system on high school's Introduction to computer science. And we designed and implemented the WBI system Using ASP, the system is maximize the effect of study related to further study. It will improve the feedback between the teachers and the students and help the learners enlarge the faculty of comprehension ability.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.395-404
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• 2019

This study investigates the interactivity of smart LMS. To this end, smart LMS was used for one semester in the English course for economics majors and the surveys about its interactivity were conducted. The findings show that smart LMS enhanced the interaction between instructors and students, between students and students, and between students and learning contents. Especially in the classroom, the activity bulletin made possible the instructor's immediate feedback about team-based activity outcomes. Also, outside the classroom, Wiki made it convenient for students to collaborate with each other. In addition, activity outcomes in the activity bulletin and course materials uploaded on smart LMS contributed to the interactivity. However, what is recommended to do to increase the interactivity are to prepare instructional strategies for students to get used to using smart LMS and smartphones as their learning tool, to test the target systems of smart LMS in advance, and to take proper actions to solve the problems of smartphone's data and battery.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.171-177
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• 2021

This study examined how the use of learning apps in Zoom-based classes affects learners' English achievement and assessed the efficiency of app use in Zoom-based English classes. The study utilized the English Central (EC) app to induce learners to actively participate in zoom-based classes. To assess the app's efficiency, two rounds of achievement tests and an open-ended questionnaire were administered. The two tests showed that Zoom-based EC app utilization classes positively affected learners' English achievement and the questionnaire revealed that the learners were highly satisfied with using the EC app in Zoom-based classes. The participants praised this approach for "complementing insufficient class content" and facilitating "immediate feedback" (on the EC app), "English practice," and "real-time communication and sharing of opinions" (on Zoom-based classes), describing it as "not boring" and "4 skill training in English." Instructors should strive to efficiently use such new teaching tools in the evolving environment of the untact era.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.257-261
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• 2022

Diseases of agricultural plants in recent years have spread greatly across the regions of the Kyrgyz Republic and pose a serious threat to the yield of many crops. The consequences of it can greatly affect the food security for an entire country. Due to force majeure, abnormal cases in climatic conditions, the annual incomes of many farmers and agricultural producers can be destroyed locally. Along with this, the rapid detection of plant diseases also remains difficult in many parts of the regions due to the lack of necessary infrastructure. In this case, it is possible to pave the way for the diagnosis of diseases with the help of the latest achievements due to the possibilities of feedback from the farmer - developer in the formation and updating of the database of sick and healthy plants with the help of advances in computer vision, developing on the basis of machine and deep learning. Currently, model training is increasingly used already on publicly available datasets, i.e. it has become popular to build new models already on trained models. The latter is called as transfer training and is developing very quickly. Using a publicly available data set from PlantVillage, which consists of 54,306 or NewPlantVillage with a data volumed with 87,356 images of sick and healthy plant leaves collected under controlled conditions, it is possible to build a deep convolutional neural network to identify 14 types of crops and 26 diseases. At the same time, the trained model can achieve an accuracy of more than 99% on a specially selected test set.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.11
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• pp.473-478
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• 2022

Evaluation learning based on code testing is becoming a popular solution in programming education via Online judge(OJ). In the recent past, many papers have been published on how to detect plagiarism through source code similarity analysis to support OJ. However, deep learning-based research to support automated tutoring is insufficient. In this paper, we propose Input & Output side FiLM models to predict whether the input code will pass or fail. By applying Feature-wise Linear Modulation(FiLM) technique to GRU, our model can learn combined information of Java byte codes and problem information that it tries to solve. On experimental design, a balanced sampling technique was applied to evenly distribute the data due to the occurrence of asymmetry in data collected by OJ. Among the proposed models, the Input Side FiLM model showed the highest performance of 73.63%. Based on result, it has been shown that students can check whether their codes will pass or fail before receiving the OJ evaluation which could provide basic feedback for improvements.

• Journal of Practical Engineering Education
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• v.14 no.2
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• pp.413-423
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• 2022

The purpose of this study is to analyze the role of the job competency assessor who assess achievement of job performance ability based on NCS (educational training, qualifications, field experience, etc.) through competency assessment. For this purpose, job analysis including development and verification of the job model and selection of core task are conducted. As a result, main duties of the job competency assessor are to understand the NCS based assessment principle, establish an assessment plan, design and develop assessment tools, assess competence, provide feedback and re-assessment, record and manage assessment result, verify the internal assessment result, establish the RPL (recognition of prior learning) plan, implement the RPL and verify the RPL assessment result, and 48 task are derived. In addition, a total of 21 core tasks are derived based on the threshold value multiplied by the importance and difficulty of the task for each duty. Based on this, implications for job analysis of the job competency assessor are presented.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.329-332
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• 2022

This study aims to identify problems with existing e-learning content and non-face-to-face class methods, improve students' concentration, improve class achievement and educational effectiveness, and propose an artificial intelligence class system design using a web server. By using the function of face and eye tracking using OpenCV to identify attendance and concentration, and by inducing feedback through voice or message to questions asked by the instructor in the middle of class, learners relieve boredom caused by online classes and test by runner If the score is not reached, we propose an artificial intelligence education program system design that can bridge the academic gap and improve academic achievement by providing educational materials and videos for the wrong problem.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.280-283
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• 2022

This study aims to identify problems with existing e-learning content and non-face-to-face class methods, improve students' concentration, improve class achievement and educational effectiveness, and propose an artificial intelligence class system design using a web server. By using the function of face and eye tracking using OpenCV to identify attendance and concentration, and by inducing feedback through voice or message to questions asked by the instructor in the middle of class, learners relieve boredom caused by online classes and test by runner If the score is not reached, we propose an artificial intelligence education program system design that can bridge the academic gap and improve academic achievement by providing educational materials and videos for the wrong problem.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.359-366
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• 2013

Although many research efforts have been conducted to address the effect of crew members' work skills (e.g., technical and planning skills) on work performance (e.g., work duration and quality) in construction projects, the relationship between skill and performance has generated a great deal of controversy in the field of management (Inkpen and Crossan 1995). This controversy can lead to under- or over-estimations of the overall project schedule, and can make it difficult for project managers to implement appropriate managerial policies for enhancing project performance. To address this issue, the following aspects need to be considered: (a) work performances are determined not only by individual-level work skill but also by the group-level work skill affected by work team members, each member's role, and any working behavior pattern; (b) work planning has significant effects on to what extent work skill enhances performance; and (c) different types of activities in construction require different types of work, skill, and team composition. This research, therefore, develops a system dynamics (SD) model to analyze the effects of both individual-and group-level (i.e., multi-level) skill on performances by utilizing the advantages of SD in capturing a feedback process and state changes, especially in human factors (e.g., attitude, ability, and behavior). The model incorporates: (a) a multi-level skill evolution and relevant behavior development mechanism within a work group; (b) the interaction among work planning, a crew's skill-learning, skill manifestation, and performances; and (c) the different work characteristics of each activity. This model can be utilized to implement appropriate work planning (e.g., work scope and work schedule) and crew management policies (e.g., work team composition and decision of each worker's role) with an awareness of crew's skill and work performance. Understanding the different characteristics of each activity can also support project managers in applying strategic work planning and crew management for a corresponding activity, which may enhance each activity's performance, as well as the overall project performance.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.34 no.4
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• pp.5-27
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• 2023

Gagné proposed nine instructional events, gain attention of the students, inform students of the objectives, stimulate recall of prior learning, present the content, provide learning guidance, elicit performance(practice), provide feedback, assess performance, enhance retention and transfer for effective teaching & learning practice. Gagné's theory is widely applied in various subjects because it increases student participation and allows classes to be developed systematically. The purpose of this study is to develop a lesson plans for the 'library and information life' subjects in middle school using Gagné's nine instructional events theory, conduct actual instructions, and verify its effectiveness. The research procedure was conducted as follows. Development of lesson plan that using Gagné's theory to Section III (Information Analysis and Interpretation) of 'Library and Information Life' in middle school. Actual instruction were conducted and student survey, peer teacher assessment, and instructor self-assessment were conducted. Based on the evaluation results, a elements to revise and improve the lesson plan was presented.