• Fashion, Industry and Education
• /
• v.14 no.1
• /
• pp.40-49
• /
• 2016

This study examined students' perceived importance of the benefits derived from an international multi-course collaborative (IMCC) project and how these perceptions impact students' extrinsic and intrinsic motivations for using the project Facebook (i.e., perceived usefulness and enjoyment), attitude toward the project, and intent to participate in future IMCC projects. The data were collected from 96 students who participated in the IMCC project and were enrolled in four different fashion merchandising courses in two different countries, the U.S. and South Korea. This study found that perceived enjoyment of the project Facebook influenced attitude toward the project and intent to participate in future IMCC projects. Perceived usefulness and enjoyment were predicted by the perceived importance of cultural understanding and feedback exchange among international group members. Attitude was influenced by the perceived importance of networking through the IMCC project, while intent to participate in future IMCC projects was predicted by perceived importance of cultural understanding and networking through the IMCC project. This study provides educators in the related disciplines insights about how to incorporate social network sites into course curricula to motivate students' project participation and learning.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2005.05a
• /
• pp.993-996
• /
• 2005

현재 국내에서 웹을 기반으로 한 e-learning 콘텐츠는 많이 개발되고 있으나 이들 대부분이 매뉴얼 식으로 제작되어 멀티미디어 형식만 빌려 텍스트 형태로만 구성하는 방식이 주를 이루고 있는 실정이다. 따라서 본 논문에서는 교사가 주도하는 일제식 수업 형태가 아닌 웹 상에서 창의적이고, 자기 주도적으로 개인차에 따라 학습 속도를 조절할 수 있는 프로젝트 학습기법을 국내 교육환경에 맞게 교수-학습 이론을 적용하여 컴퓨터 교과목을 개발.활용하는 데 그 목적이 있다.

• Journal of the Korea Society of Computer and Information
• /
• v.22 no.6
• /
• pp.33-40
• /
• 2017

This article is to investigate the possibility that project-based classes introducing mobile phones can replace the monotony of traditional classes led by teachers as well as they can encourage students to take active part in the classes to some extent. The students in groups choose a genre for their own video projects (e.g., movie, drama, news, documentary, and commercial) and produce the video contents using a mobile phone for presentation made at the end of a semester. In the sense that the students are allowed to do video-based mobile phone projects, they can work independently outside of class, where time and space are more flexible and students are free from the anxiety of speaking or acting in front of an audience. A mobile phone project consists of around five stages done both in and outside of the classroom. All of these stages can be graded independently, including genre selection, drafting of scripts, peer review and revision, rehearsals, and presentation of the video. Feedback is given to students. After the presentation, students filled out a survey questionnaire sheet devised to analyze students' responses toward preferences and level of difficulty of the project activity. Finally, proposals are made for introduction of a better mobile phone-based project classes.

• Journal of The Korean Association of Information Education
• /
• v.21 no.2
• /
• pp.171-181
• /
• 2017

Each City & Provincial office of education has provided educational informatization training, which invites its partner country's teachers as part of 'e-Learning Globalization Project.' The purposes of this training program are, a) improving nation brand power by maintaining e-learning national competitiveness and strengthening influence, b) solving digital divide by sharing Korean best practices, c) establishing partnership through exchanges and cooperation, d) capacity building which support partner country's leading teachers can play key roles to spread educational informatization in their own country. It is necessary to reflect outcomes of training program until now and to find sustainable development plan, at 10th anniversary of Education ICT training program now. In order to fulfil purposes, qualitative research was conducted to analyze current status based on context, input, process, and product phases, and to find sustainable development alternative. In-depth interview(IDI) was conducted among supervisor, officials, and teachers from partner countries. Also, the result of IDI was analyzed by themes.

• International conference on construction engineering and project management
• /
• 2022.06a
• /
• pp.728-735
• /
• 2022

Roofers get exposed to increased risk of knee musculoskeletal disorders (MSDs) at different phases of a sloped shingle installation task. As different phases are associated with different risk levels, this study explored the application of machine learning for automated classification of seven phases in a shingle installation task using knee kinematics and roof slope information. An optical motion capture system was used to collect knee kinematics data from nine subjects who mimicked shingle installation on a slope-adjustable wooden platform. Four features were used in building a phase classification model. They were three knee joint rotation angles (i.e., flexion, abduction-adduction, and internal-external rotation) of the subjects, and the roof slope at which they operated. Three ensemble machine learning algorithms (i.e., random forests, decision trees, and k-nearest neighbors) were used for training and prediction. The simulations indicate that the k-nearest neighbor classifier provided the best performance, with an overall accuracy of 92.62%, demonstrating the considerable potential of machine learning methods in detecting shingle installation phases from workers knee joint rotation and roof slope information. This knowledge, with further investigation, may facilitate knee MSD risk identification among roofers and intervention development.

• Journal of Practical Engineering Education
• /
• v.14 no.3
• /
• pp.555-563
• /
• 2022

This study explored the educational effects of e-PBL by using metaverse tools to strengthen PBL interactions among foreign learners. The university's 3-hour, 15-week PBL subject was systematically reorganized to satisfy the needs of online groups of students. Metaverse technology was also used as a tool for interaction in the process of solving practical problems closely related to our social issues through e-PBL. e-PBL lectures are composed of foreign learners from various countries. More than half of the 43 participating students are from 11 different nations. Learners in an e-PBL class are able to partake in task-based learning activities through the use of the metaverse. This qualitative study identified the metaverse is an effective communication tool which transcends language and nationality. It is also a unique space where both verbal and non-verbal communication between team members are possible online. This study can demonstrate the positive effects of e-PBL teaching methods. By using the metaverse's various tools of interaction to improve communication among foreign learners whose Korean levels are not perfect, we can create a digital space which more closely resembles an offline, interpersonal learning experience.

• Journal of Information Processing Systems
• /
• v.4 no.4
• /
• pp.159-168
• /
• 2008

Human-Robot Interaction (HRI), based on already well-researched Human-Computer Interaction (HCI), has been under vigorous scrutiny since recent developments in robot technology. Robots may be more successful in establishing common ground in project-based education or foreign language learning for children than in traditional media. Backed by its strong IT environment and advances in robot technology, Korea has developed the world's first available e-Learning home robot. This has demonstrated the potential for robots to be used as a new educational media - robot-learning, referred to as 'r-Learning'. Robot technology is expected to become more interactive and user-friendly than computers. Also, robots can exhibit various forms of communication such as gestures, motions and facial expressions. This study compared the effects of non-computer based (NCB) media (using a book with audiotape) and Web-Based Instruction (WBI), with the effects of Home Robot-Assisted Learning (HRL) for children. The robot gestured and spoke in English, and children could touch its monitor if it did not recognize their voice command. Compared to other learning programs, the HRL was superior in promoting and improving children's concentration, interest, and academic achievement. In addition, the children felt that a home robot was friendlier than other types of instructional media. The HRL group had longer concentration spans than the other groups, and the p-value demonstrated a significant difference in concentration among the groups. In regard to the children's interest in learning, the HRL group showed the highest level of interest, the NCB group and the WBI group came next in order. Also, academic achievement was the highest in the HRL group, followed by the WBI group and the NCB group respectively. However, a significant difference was also found in the children's academic achievement among the groups. These results suggest that home robots are more effective as regards children's learning concentration, learning interest and academic achievement than other types of instructional media (such as: books with audiotape and WBI) for English as a foreign language.

• Journal of The Korean Society of Agricultural Engineers
• /
• v.61 no.4
• /
• pp.43-54
• /
• 2019

The present study aims to monitor three of the community empowerment projects implemented as part of the community central revitalization projects in Yeongwol. We used an established indicator (i.e., quantitative evaluation) as well as an interview (i.e., qualitative evaluation) throughout the monitoring process. The PM (project manager) committee members, consisting of six interdisciplinary experts, carried out the monitoring from $24^{th}$ of October until the $26^{th}$ of November 2018. We categorized the results of the monitoring into the aspects of needs, software, and hardware, and analyzed them as follows: First, although the locals were willing to take part in programs, they were in overall not well informed about the ongoing programs and the program that suits their needs the most. The service organization should therefore actively publicize the program and provide sufficient information about it .Second, instead of a one-off program, the locals should be empowered to take over the program eventually and develop it as a local business model. Last, the locals from the center as well as the outskirts of Yeongwol should organize a learning net, collaboratively develop a further program, and assess its effectiveness by employing a thorough monitoring system.

• Journal of The Korean Association of Information Education
• /
• v.13 no.2
• /
• pp.159-168
• /
• 2009

This study is a project case research on PVR-based e-book systems for the cultural property learning effectively. In this study, we designed and implemented the systems and contents using a photographic virtual reality technique. This system could provide the students an effectiveness of virtual experience such as a student is at place that has the cultural property. Moreover we developed the educational contents in image DB. We also converted these contents into e-book typed contents that the students easily searched and used the system in class. This systems were applied the students in elementary school. As the result of applying, we found that the PVR-based e-book systems were more effective than plain web-based systems. This study will give advanced education environment to students as well as teachers in future.

• International conference on construction engineering and project management
• /
• 2022.06a
• /
• pp.744-751
• /
• 2022

Construction is among the most dangerous industries with numerous accidents occurring at job sites. Following an accident, an investigation report is issued, containing all of the specifics. Analyzing the text information in construction accident reports can help enhance our understanding of historical data and be utilized for accident prevention. However, the conventional method requires a significant amount of time and effort to read and identify crucial information. The previous studies primarily focused on analyzing related objects and causes of accidents rather than the construction activities. This study aims to extract construction activities taken by workers associated with accidents by presenting an automated framework that adopts a deep learning-based approach and natural language processing (NLP) techniques to automatically classify sentences obtained from previous construction accident reports into predefined categories, namely TRADE (i.e., a construction activity before an accident), EVENT (i.e., an accident), and CONSEQUENCE (i.e., the outcome of an accident). The classification model was developed using Convolutional Neural Network (CNN) showed a robust accuracy of 88.7%, indicating that the proposed model is capable of investigating the occurrence of accidents with minimal manual involvement and sophisticated engineering. Also, this study is expected to support safety assessments and build risk management systems.