• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.1
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• pp.77-83
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• 2010

Effectiveness of the e-learning hands-on practice in the engineering education depends on the quality of the contents of which simulation is a part and the teaching strategy of the instructor. Instructors who develop and use the simulation-included e-learning content should employ various teaching and learning activities which would make online simulation practice effective. Thus, the strategy for the effective e-learning simulated practice in engineering courses should be known and used effectively. The aim of this paper is to classify the development methods of the simulations and the teaching and learning activities of the development types classified. The comparison of the teaching and learning activities leads to suggestion on teaching and learning strategy for effective use of the online simulation in engineering education.

• The Journal of the Korea Contents Association
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• v.12 no.9
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• pp.422-433
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• 2012

The purpose of this study was to investigate leisure constraints based on the types of leisure sports activity(individual, partner, and group activities) in order to lead people to participate in and to continue their leisure sports activities. Data were collected from leisure sports participants in Seoul and Kyungki province. A total of 286 respondents were selected using the convenience sampling method. Leisure constraint's sub-dimensions for the respondents were named as facility and environment, negative perception, lack of condition, risk of injury, and lack of time. As the results of this study, first, respondents felt facility and environmental constraint the most and negative perception constraint the lowest. Second, there were differences in negative perception and lack of condition constraints based on the magnitude of participation. Finally, there were differences in facility and environment, negative perception, lack of condition, and risk of injury constraints based on the types of leisure sports activity.

• Journal of the Institute of Convergence Signal Processing
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• v.23 no.4
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• pp.234-240
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• 2022

This paper proposes a customized AI exercise recommendation service for balancing the relative amount of exercise according to the working environment by each occupation. WISDM database is collected by using acceleration and gyro sensors, and is a dataset that classifies physical activities into 18 categories. Our system recommends a adaptive exercise using the analyzed activity type after classifying 18 physical activities into 3 physical activities types such as whole body, upper body and lower body. 1 Dimensional convolutional neural network is used for classifying a physical activity in this paper. Proposed model is composed of a convolution blocks in which 1D convolution layers with a various sized kernel are connected in parallel. Convolution blocks can extract a detailed local features of input pattern effectively that can be extracted from deep neural network models, as applying multi 1D convolution layers to input pattern. To evaluate performance of the proposed neural network model, as a result of comparing the previous recurrent neural network, our method showed a remarkable 98.4% accuracy.

• Journal of The Korean Association For Science Education
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• v.40 no.5
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• pp.451-462
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• 2020

According to the online learning environment, learning activities using mobile technology have emerged as a major concern. The features of mobile technology show potential supporting the emergence of learners' agencies in science education. In this study, 22 research literature on mobile activities in science teaching and learning published in Korea from 2011 to April 2020 were selected. First, the framework of Suarez et al. (2018) was revised and the types of mobile activities were categorized and investigated. Second, the emergence of agencies was examined in the context of science teaching and learning. And also, the relevance of mobile activity types ('Access to content', 'Data collection', 'Peer-to-peer communication', 'Contextual support') to support learners' agency dimension ('goals', 'content', 'action', 'strategy', 'reflection', 'monitoring') was analyzed. The first analysis show that science teaching and learning through mobile activities are changing from traditional to student-centered. Through these activities, students become more involved in learning and get the opportunity to become agents of learning. As a result of the second analysis, it has been confirmed that the emergence of learners' agencies has been supported and strengthened through mobile activities. Whereas, it needs to look upon the relationship between learners' agency and mobile activities in the overall context of science class. This consideration led to implications for the use of mobile technology in future science education and the transition to student-centered education.

• Journal of Korean Society of Archives and Records Management
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• v.18 no.1
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• pp.155-175
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• 2018

The purpose of this study is to establish a classification system for the records of the Association for the Bereaved Families of the Hampyeong Massacre Victims. The content of the records is accordingly implemented through a functional source principle, and a classification table is presented in such a way that it reflects the characteristics by type and by production period so that the records can be used effectively. DIRKS, a methodology for the development of the functional classification system, is used to conduct a functional analysis of Hampyeong massacre victims' families to derive a task classification table that leads to task function-work activity-handling actions. The category is determined by taking into consideration the type and nature of the time of the production of the records of the Hampyeong massacre victims' families. The records are mapped according to the function classification system, which corresponds to the task classification table, and the multicategory system that drafts the type and period, which is used to classify the functions. The medical institution introduces a system for classifying records into task subjects, task activities, handling actions, types, and period.

• Journal of Science Education
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• v.34 no.2
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• pp.185-192
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• 2010

The purpose of this study was to develope the negative-emotion prediction model by hormonal changes during the scientific inquiry. For this study, biological classification task was developed that are suitable for comprehensive scientific inquiry. Forty-seven 2nd grade secondary school students (boy 18, girl 29) were participated in this study. The students are healthy for measure hormonal changes. The students performed the feathers classification task individually. Before and after the task, the strength of negative emotion was measured using adjective emotion check lists and they extracted their saliva sample for salivary hormone analysis. The results of this study, student's change of negative emotion during the feathers classification process was significant positive correlation(R=0.39, P<0.001) with student's salivary cortisol concentration. According to this results, we developed the negative emotion prediction model by salivary cortisol changes.

• The Journal of Korean society of community based occupational therapy
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• v.9 no.2
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• pp.1-12
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• 2019

Objective : The purpose of this study is to measure the level of activity possessed by the daily activities of the elderly. In addition, we attempted to compare the differences in the categories of daily activities. Methods : We used K-ACS to evaluate 30 older people who engaged in economic activity living in community, 30 older people who did not have economic activity living in community, and 30 older people living in facility. We compared the level of activity retention. Results : There was a significant difference of level of activity retention according to the daily activity category of the subjects(p <.001). There was a difference in the instrumental activities according to the category of each activity, while the three groups showed similar patterns in leisure activities and social activities. In particular, all three groups were most likely to rest and watch television in the leisure activities, so the leisure activities of the elderly in Korea were very limited. Among the general characteristics, it was analyzed that there was a correlation between the activity, the marital status, the religion and the cognitive level. Conclusion : According to the daily activities category of the elderly, there was a difference in level of activity retention and the characteristics of daily activities correlated with the activities of the elderly. This suggests that it may be a basic data for establishing a client - centered intervention plan by considering the characteristics affecting daily living and level of activity retention of the elderly in the occupational therapy.

• Science & Technology Policy
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• v.6 no.9 s.90
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• pp.96-108
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• 1996

• Therapeutic Science for Rehabilitation
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• v.6 no.2
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• pp.11-28
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• 2017

Objective: The purpose of this study was conducted to systematic review about assessment tools for Activities of Daily Living (ADL) for stroke patients. Methods: Studies tools was administered by using four electronic databases (Pubmed, Embase, Cochrane and NDSL). For the main key words,"stroke AND activities of daily living AND occupational therapy AND assessment OR evaluation OR measurement"was used. We analyzed the types and frequency of evaluation tools. In addition, the evaluation tools for activities and participation were classified based on the classification criteria of International Classification of Functioning, Disability and Health (ICF). Results: In this study, 111 studies were analyzed and 30 assessment tools were identified. As the number of studies on stroke patients has been increased recently, the types and frequency of evaluation tools have been also increased. The most commonly used evaluation tools were Functional Independence Measure (FIM), Barthel Index (BI) and Canadian Occupational Performance Measure (COPM). In addition, according to classification based on ICF, we found that the types of assessment tools which assess participation were few. Conclusion: Although there were many kinds of assessment tools, the types of evaluation tools which were used in the research or field were very limited. Using various assessment tools, more research should be conducted to support evidence-based occupational therapy. Evaluation tools for participation also should be developed.

• Journal of the Korean Institute of Landscape Architecture
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• v.50 no.6
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• pp.42-57
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• 2022

This study aims to create a basic model for classifying the activity photos that urban park users shared on social media using Deep Learning through Artificial Intelligence. Regarding the social media data, photos related to urban parks were collected through a Naver search, were collected, and used for the classification model. Based on the indicators of Naturalness, Potential Attraction, and Activity, which can be used to evaluate the characteristics of urban parks, 21 classification categories were created. Urban park photos shared on Naver were collected by category, and annotated datasets were created. A custom CNN model and a transfer learning model utilizing a CNN pre-trained on the collected photo datasets were designed and subsequently analyzed. As a result of the study, the Xception transfer learning model, which demonstrated the best performance, was selected as the urban park user activity image classification model and evaluated through several evaluation indicators. This study is meaningful in that it has built AI as an index that can evaluate the characteristics of urban parks by using user-shared photos on social media. The classification model using Deep Learning mitigates the limitations of manual classification, and it can efficiently classify large amounts of urban park photos. So, it can be said to be a useful method that can be used for the monitoring and management of city parks in the future.