• Journal of Digital Convergence
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• v.18 no.12
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• pp.29-36
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• 2020

The background of this study is that machine learning administrative services are recently attracting attention as a major policy tool for non-face-to-face administrative services in the post-corona era. This study investigated the types of work expected to be effective when introducing machine learning administrative services for Seoul Metropolitan Government officials who are piloting machine learning administrative services. The research method is a machine that can be introduced by organizational unit by distributing and collecting questionnaires for Seoul administrative organizations that have performed machine learning-based administrative services for one month in July 2020 targeting Seoul public officials using machine learning-based administrative services. By analyzing the learning administration service and application service, the business characteristics of each machine learning administration service type such as supervised learning work type, unsupervised learning work type, and reinforced learning work type were analyzed. As a result of the research analysis, it was found that there were significant differences in the characteristics of administrative tasks by supervised and unsupervised learning areas. In particular, it was found that the reinforcement learning domain contains the most appropriate business characteristics for machine learning administrative services. Implications were drawn. The results of this study can be provided as a reference material to practitioners who want to introduce machine learning administration services, and can be used as basic data for research to researchers who want to study machine learning administration services in the future.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.23-30
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• 2021

Sentiment Analysis has become very important field of research because posting of reviews is becoming a trend. Supervised, unsupervised and semi supervised machine learning methods done lot of work to mine this data. Feature engineering is complex and technical part of machine learning. Deep learning is a new trend, where this laborious work can be done automatically. Many researchers have done many works on Deep learning Convolutional Neural Network (CNN) and Long Shor Term Memory (LSTM) Neural Network. These requires high processing speed and memory. Here author suggested two models simple & bidirectional deep leaning, which can work on text data with normal processing speed. At end both models are compared and found bidirectional model is best, because simple model achieve 50% accuracy and bidirectional deep learning model achieve 99% accuracy on trained data while 78% accuracy on test data. But this is based on 10-epochs and 40-batch size. This accuracy can also be increased by making different attempts on epochs and batch size.

• 한국사회복지학회:학술대회논문집
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• 2004.04a
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• pp.535-559
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• 2004

While the endeavor to introduce the service activity in the college education is enlarged, the object of this study is to introduce the concept of service learning in social work education. The 'content centered service-learning' is focusing on the practical education, the liaison and participation in community and the promotion of civil awareness which are very important in social work education that focuses on the interest and participation in the human and social problem as practical study. This study contemplates the educational effect of the course of social work combined with service learning. This study verifies the self-efficacy, the altruism, the change of social responsibility of students and the effect by carrying out the course of social welfare and service activities side by side. To evaluate the effect of service learning, pre and post test and qualitative analysis in journal of service activity, the discussion during the class and the mid and final term evaluation were done. Through the service learning, students showed the promotion in self-esteem, the altruism, the social responsibility, the self insights as a social worker and were able to have the chance to consider their future job. From the view point of local centers, it was evaluated that the service activity of students was helpful to the institutions and the clients, and that the liaison between the community agency and the college and the experience of integration of service learning and the course of social welfare was helpful too. Based on the above mentioned results, this study provide some recommendations in implementation of service-learning as the teaching methodology of social work.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.583-587
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• 2015

Scenario-based learning (SBL) has been used in a variety of training situations across different disciplines. Despite its seemly widespread use in construction management discipline, very few attempts have been made to explore its effectiveness and the respective students' learning experience. Using a survey research design, this study aims to investigate students' perceptions on SBL approach in construction management courses. The specific objectives are: (i) to identify the characteristics of a favourable SBL environment, and (ii) to explore the students' learning experience and effectiveness of the SBL approach. The results show that the four characteristics of a favourable SBL environment are: effective team formulation, constant engagement with lecturer, working in a group, and incorporation of motivational incentive for participation. The students really appreciated the opportunities to apply concepts learnt in the lectures in their SBL group work. Also, they perceived that the SBL approach is effective in developing their reflective and critical thinking skills, analytic and problem-solving skills and their ability to work as a team. These findings should facilitate more critical approaches to similar form of teaching methods.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.145-153
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• 2023

In this research, we applied a problem-based learning(PBL) method for one semester, and measured critical thinking disposition, self efficacy for group work and self confidence of nursing process of Nursing Process and Critical Thinking subjects before and after application. This research is one group pre-test and post-test design. The subjects of this study were collected using an online questionnaire for second-year nursing students located in G city, and 108 students participated in the final. The result of this research showed that critical thinking disposition(p=.000), self efficacy for group work(p=.003) and self confidence of nursing process(p=.000) increased statistically significantly after problem-based learning(PBL). This findings indicate that problem-based learning(PBL) is effective in improving critical thinking disposition, self efficacy for group work and self confidence of nursing process. Therefore, If problem-oriented learning (PBL) is expanded and applied to nursing education, it is believed that it will be effective in enhancing the core competencies of nursing students.

• Journal of Information Technology Services
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• v.22 no.3
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• pp.1-27
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• 2023

The semiconductor industry is a competitive, complicated and a cyclical sector with a highly dynamic business climate which requires an effective leadership style to operate and succeed. This study explores the important issue of how leadership facilitates employee innovative work behaviors in the semiconductor industry. Based on the assumptions of the ambidextrous leadership theory and social exchange theory, we collected data from 300 workers employed in the semiconductor industry of South Korea. The study investigated (1) the impact of ambidextrous leadership on innovative work behavior, (2) the mediating effects of workers decision-making autonomy and workplace learning in the relationship between ambidextrous leadership and innovative work behavior, (3) the moderating role of resistance to change in the relationship between ambidextrous leadership and workplace learning, and (4) the moderating role of openness to experience in the relationship between ambidextrous leadership and innovative work behavior. SmartPLS 4 and SPSS v24 was used to analyze our data. The study revealed that ambidextrous leadership positively influences workers innovative work behavior. In addition, decision-making autonomy and workplace learning partially mediated the relationship between ambidextrous leadership and innovative work behavior. Moreover, resistance to change was found to be a significant moderator in the relationship between ambidextrous leadership and workplace learning. Based on these findings, we conclude that ambidextrous leadership is very imperative for semiconductor businesses seeking to foster employee innovative work behaviors. Theoretical and practical implications of the study are also discussed.

• Journal of Information Technology Services
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• v.22 no.4
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• pp.141-157
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• 2023

The present work aimed to present the development of 'Funt', the augmented reality-based digital app as an educational tool for foreign language learning. Our work further evaluated the learning efficacy of the tool by the assessment of the three dependent measures including learning motivation, learning satisfaction, and learning involvement. With a learning app of 'Funt', students can use AR app to access recognition-based or location-based experiences such that any objects, artifacts, or media appear to be in the app. Students are then able to interact with the digital content by manipulating it to learn more about it. Students's engagement should also increase when they create their own experience in AR to demonstrate their understanding of a particular concept or words. Learning effects were evaluated on survey data collected from a hundred respondents aging six to nine years. One-group design for pre-test and post-test was utilized to examine the differences of learning efficacy by comparing the non-'Funt' group and the Funt group scores. A pairwise t-Test was performed for pairwise comparisons between two learning groups. The results indicate that the 'Funt' group scored significantly higher than the non-'Funt' group in the measures of learning motivation, learning satisfaction, and learning involvement. Overall, our results suggest that 'Funt' attracted the students' attention, provided them with a fun context to learn English vocabulary, and develop positive motivation and satisfaction towards vocabulary learning through AR technology.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.12
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• pp.4816-4834
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• 2020

This paper proposes transfer learning and fine-tuning techniques for a deep learning model to detect three distinct brain tumors from Magnetic Resonance Imaging (MRI) scans. In this work, the recent YOLOv4 model trained using a collection of 3064 T1-weighted Contrast-Enhanced (CE)-MRI scans that were pre-processed and labeled for the task. This work trained with the partial 29-layer YOLOv4-Tiny and fine-tuned to work optimally and run efficiently in most platforms with reliable performance. With the help of transfer learning, the model had initial leverage to train faster with pre-trained weights from the COCO dataset, generating a robust set of features required for brain tumor detection. The results yielded the highest mean average precision of 93.14%, a 90.34% precision, 88.58% recall, and 89.45% F1-Score outperforming other previous versions of the YOLO detection models and other studies that used bounding box detections for the same task like Faster R-CNN. As concluded, the YOLOv4-Tiny can work efficiently to detect brain tumors automatically at a rapid phase with the help of proper fine-tuning and transfer learning. This work contributes mainly to assist medical experts in the diagnostic process of brain tumors.

• Journal of Korea Multimedia Society
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• v.6 no.4
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• pp.676-684
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• 2003

eLearning can be defined as an approach to teaching and teaming that utilises Internet technologies to communicate and collaborate in an educational context. This includes technology that supplements traditional classroom training with web-based components and learning environments where the educational process is experienced online. The use of hypertext as an educational tool has a very rich history. The advent of the internet and one of its major application, the world wide web (WWW), has given a tremendous boost to the theory and practice of hypermedia systems for educational purposes. However, the web suffers from an inability to satisfy the heterogeneous needs of a large number of users. For example, web-based courses present the same static teaming material to students with widely differing knowledge of the subject. Adaptive hypermedia techniques can be used to improve the adaptability of eLearning. In this paper we report an approach to the design a unified implementation framework suitable for web-based eLearning that accommodates the three main dimensions of hypermedia adaptation: content, navigation, and presentation. The framework externalises the adaptation strategies using XML notation. The separation of the adaptation strategies from the source code of the eLearning software enables a system using the framework to quickly implement a variety of adaptation strategies. This work is a part of our more general ongoing work on the design of a framework for adaptive content delivery. parts of the framework discussed in this paper have been imulemented in a commercial eLearning engine.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.61-70
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• 2022

The study developed a psychiatric and mental health nursing practice program based on blended learning as nursing students' field practice in psychiatric and mental nursing practice was limited due to the prolonged COVID-19 pandemic. This is a study to evaluate the effect on communication competency, self-efficacy for group work, and learning transfer motivation through a psychiatric and mental health nursing practice program based on blended learning. From October 18, 2021 to December 11, 2021, 64 nursing students participated in the study using a structured Google questionnaire. The collected data was analyzed by descriptive statistics and paired t-test using the SPSS 25.0 program. As a result of the study, based on blended learning, the subjects' communication competency, self-efficacy for group work, and learning transfer motivation were significantly increased after compared to before psychiatric and mental health nursing practice education. Through the results of this study, it was possible to confirm the effect of the psychiatric and mental health nursing practice program based on blended learning.