• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.2
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• pp.49-58
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• 2019

There have been studies on the satisfaction, preference, and post occupancy evaluation of urban parks in order to reflect users' preferences and activities, suggesting directions for future park planning and management. Despite using questionnaires that are proven to be affective to get users' opinions directly, there haven been limitations in understanding the latest changes in park use through questionnaires. This study seeks to address the possibility of utilizing the thirdgeneration SNS data, Instagram and Google, to compare behavior patterns and trends in park activities. Instagram keywords and photos representing user's feelings with a specific park name were collected. We also examined reviews, peak time, and popular time zones regarding selected parks through Google. This study tries to analyze users' behaviors, emerging activities, and satisfaction using SNS data. The findings are as follows. People using park near residential areas tend to enjoy programs being operated in indoor facilities and to like to use picnic places. In an adjacent park of commercial areas, eating in the park and extended areas beyond the park boundaries is found to be one of the popular park activities. Programs using open spaces and indoor facilities were active as well. Han River Park as a detached park type offers a popular venue for excercises and scenery appreciation. We also identified companionship characteristics of different park types from texts and photos, and extracted keywords of feelings and reviews about parks posted in $3^{rd}$ generation SNS. SNS data can provide basis to grasp behavioral patterns and satisfaction factors, and changes of park activities in real time. SNS data also can be used to set future directions in park planning and management in accordance with new technologies and policies.

• Journal of the Korean Society for information Management
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• v.26 no.2
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• pp.149-172
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• 2009

The purpose of this study was to examine the demand of parents and teachers for a children's library and analyze the need in consideration of their age and children's library-using frequency. The subjects in this study were 1,500 parents and teachers in the region of Gwangju, on whom a survey was implemented to find out the necessity of a children's library, what should be considered in terms of design and program development and what forms of materials should be provided. As a result of checking their needs for the functions of a library, the parents and teachers investigated attached importance to culture, welfare and hands-on culture/art programs as what a library should focus on. Second, as for design, they gave top priority to comfortableness(sanitary facilities, ventilation, humidity and temperature) and safety(sofas, cushions and carpets for children). Third, as to program preference, both of the parents and teachers considered activity, performance and educational programs necessary among multiple kinds of ongoing programs. Specifically, performance programs ranked first among the parents and third among the teachers. Activity programs ranked first among the teachers and third among the parents. Fourth, concerning the importance of materials possessed by a library, they placed the most emphasis on the kind of materials that could foster creativity and instill the right personality.

• Journal of the Korea Society of Computer and Information
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• v.28 no.2
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• pp.227-234
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• 2023

In this paper, we developed a design thinking-based artificial intelligence education program for middle school students and applied it to verify the impact on creative problem-solving skills. The inspection tool used the Creative Problem Solving Profile Inventory (CPSPI), an inspection tool for measuring creative thinking type ability based on the CPS theory of Hwasun Lee, Jungmin Pyo, Insoo Choe(2014). CPSPI included the steps of evaluating cognitive preferences and cognitive abilities by supplementing the limitations of existing tests, and sharing and persuading one's ideas with others. Before and after applying the design thinking-based artificial intelligence education program, as a result of analyzing the creative problem-solving ability, it increased significantly in all areas. As a result of analyzing the creative problem-solving ability of middle school students, significant results were found in the areas of Problem Detection and Analysis, Idea Generation, Action plan, Execution, Persuasion and Communication. The effect of design thinking was confirmed as a teaching and learning method to improve creative problem-solving ability in artificial intelligence education.

• Journal of Elementary Mathematics Education in Korea
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• v.22 no.3
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• pp.267-282
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• 2018

The purpose of this study is to develop and apply a Convergence program for teaching of congruence and symmetry and to investigate the effects of the mathematical creativity and convergence talent. For these purposes, research questions were set up as follows: 1. How is a Convergence program for teaching of congruence and symmetry developed? 2. How does a Convergence program affect the mathematics creativity and convergence talent of fifth grade student in elementary school? The subjects in this study were 16 students in fifth-grade class in elementary school located in Songpa-gu, Seoul. A Convergence program was developed using the integrated unit design process chose the concept of congruence and symmetryas its topic. The developed program consisted of a total 12 class activities plan, lesson plans for 5 activities. Mathematics creativity test, a test on affective domain related with convergence talent measurement were carried out before and after the application of the developed program so as to analyze the its effects. In addition, students' satisfaction for the developed program was investigated by a questionnaire. The results of this study were as follows: First, A convergence program should be developed using the integrated unit design process to avoid focusing on the content of any one subject area. The program for teaching of congruence and symmetry should be considered students' learning style and their preferences for media. Second, the convergence program improved the students' mathematical creativity and convergence talent. Among the sub-factors of mathematical creativity, originality was especially improved by this program. Students thought that the program is good for their creativity. Plus, this program use two subject class, Math and Art, so student do not think about one subject but focus on topic 'congruence and symmetry'. It help students to develop their convergence talent.

• Journal of Engineering Education Research
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• v.9 no.2
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• pp.5-20
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• 2006

This study is a part of the research on measuring and developing the creativity of college students, especially of engineering college students. This study was done in the class of imaginative design engineering which was a creativity training program integrated with engineering majors, including idea generation skills, creative problem solving, patent applications, design, manufacturing and marketing. Participants in this program were 75 freshman strudetns in engineering college. The achievements in this program were measured by the figural form of TTCT(Torrance Tests of Creative Thinking), as well as MBTI(Myers-Briggs Type Indicator). The results are as follows. First, TTCT scores of the participants in imaginetive design engineering increased significantly. Second, type indicator scores of MBTI varied significantly, to the directions of extrovert, feeling, and perception. Therefore, according to the results of this study, we can conclude the imaginative design engineering class had significant positive effects on the creativity of the engineering students.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.3
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• pp.70-82
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• 2023

The recent surge of IT and data acquisition is shifting the paradigm in all aspects of life, and these advances are also affecting academic fields. Research topics and methods are being improved through academic exchange and connections. In particular, data-based research methods are employed in various academic fields, including landscape architecture, where continuous research is needed. Therefore, this study aims to investigate the possibility of developing a landscape preference evaluation and prediction model using machine learning, a branch of Artificial Intelligence, reflecting the current situation. To achieve the goal of this study, machine learning techniques were applied to the landscaping field to build a landscape preference evaluation and prediction model to verify the simulation accuracy of the model. For this, wind power facility landscape images, recently attracting attention as a renewable energy source, were selected as the research objects. For analysis, images of the wind power facility landscapes were collected using web crawling techniques, and an analysis dataset was built. Orange version 3.33, a program from the University of Ljubljana was used for machine learning analysis to derive a prediction model with excellent performance. IA model that integrates the evaluation criteria of machine learning and a separate model structure for the evaluation criteria were used to generate a model using kNN, SVM, Random Forest, Logistic Regression, and Neural Network algorithms suitable for machine learning classification models. The performance evaluation of the generated models was conducted to derive the most suitable prediction model. The prediction model derived in this study separately evaluates three evaluation criteria, including classification by type of landscape, classification by distance between landscape and target, and classification by preference, and then synthesizes and predicts results. As a result of the study, a prediction model with a high accuracy of 0.986 for the evaluation criterion according to the type of landscape, 0.973 for the evaluation criterion according to the distance, and 0.952 for the evaluation criterion according to the preference was developed, and it can be seen that the verification process through the evaluation of data prediction results exceeds the required performance value of the model. As an experimental attempt to investigate the possibility of developing a prediction model using machine learning in landscape-related research, this study was able to confirm the possibility of creating a high-performance prediction model by building a data set through the collection and refinement of image data and subsequently utilizing it in landscape-related research fields. Based on the results, implications, and limitations of this study, it is believed that it is possible to develop various types of landscape prediction models, including wind power facility natural, and cultural landscapes. Machine learning techniques can be more useful and valuable in the field of landscape architecture by exploring and applying research methods appropriate to the topic, reducing the time of data classification through the study of a model that classifies images according to landscape types or analyzing the importance of landscape planning factors through the analysis of landscape prediction factors using machine learning.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.3
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• pp.175-196
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• 2017

The number of youth smartphone users has been increasing, and they use smartphone applications to satisfy their various types of information needs. Nevertheless, few researchers have addressed youth information behavior on applications. In this study, the author examined the application use behavior of youth in response to their work- and everyday life- information needs. The author collected 114 completed questionnaires from students enrolled in a middle school and a high school. The survey results show that participants' usage and perception of smartphone applications were high, and they were using information, entertainment, and communication applications to meet their information needs. In particular, their preference for application use differed by the type of information needs. Also, participants were considering cost, easiness, privacy policy, review, information quality, providers, interface design, and recommendation to choose applications. This study confirms the role of smartphone applications as an influential information source, and it also provides useful implications for educators and for application developers.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.533-540
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• 2018

This study is to find convergent effects of collaborative peer tutoring on communication ability and self-leadership of nursing students. According to the results of Mann-Whitney U and Kruskal-Wallis test using SPSS/WIN 19.0 for the survey of communication and self-leadership before and after experiments, there were significant differences of personality type, discussion preference and leadership in communication, and of motive of admission, leadership and school grades in self-leadership. There were positive correlations between communication and self-leadership before and after treatments. The results of Wilcoxon signed ranked test showed cooperative peer tutoring increased communication ability and self-leadership significantly each(p=.008, p<.001). These results could be used in developing intervention programs for enhancing communication and self-leadership of nursing students after further studies with wider range of subjects and setting control group.

• Journal of Engineering Education Research
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• v.13 no.6
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• pp.3-13
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• 2010

The purpose of this study was to investigate between learning styles and communication apprehension of Engineering students. Participants were 405 first-year Engineering cohort. Following were the results: First, 80 percent were classified as Reflective learners, 61 percent were classified as Sensing learners, 73.1 percent were classified as Visual learners, and 66.7 percent were classified as Global learners. Second, the result showed that there was a significant difference in learning style by gender. Most female learners were Reflective, while most male learners were Active. Lastly, the finding revealed that there were significant differences in communication apprehension on Perception and Processing dimension. Sensing students demonstrated higher level of communication apprehension than Intuitive students and Reflective students shown higher level of communication apprehension than Active students. For the program developing Engineering students' communication skills, implications for reducing students' communication apprehension based on the type of learning styles were discussed.

• Journal of Gifted/Talented Education
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• v.26 no.4
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• pp.635-652
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• 2016

This study investigated operation plan for the Cyber Bridge Program based on the survey from teachers of science high schools. Teachers were found to be thinking it positive that cyber programs can be operated free from the time and spatial restrictions. They thought that teacher interactions are hard to occur and teachers' role in learning is limited as well. Also, the geographical, physical, and socio cultural minorities might have benefits from cyber programs either as regular programs or the before entrance programs. Therefore, the detailed plans are needed. Most of all, since the educational contents are the key for the programs, we suggested some contents categories and developmental criteria. As a result, the developments of high quality contents and financial supports for the successful Cyber Bridge Program are essential.