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A Flipped Classroom Model For Algorithm In College

  • Lee, Su-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.1
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    • pp.153-159
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    • 2017
  • In recent years there has been a rise in the use and interest of the flipped learning as a teaching and learning paradigm. The flipped learning model includes any use of Internet technology to enrich the learning in a classroom, so that a professor can spend more time interacting with students instead of lecturing. In the flipped model, students viewed video lectures online outside of class time. Students then performed two kinds of assignments, a teamwork assignment and an individual work assignment, through the class time. In this paper, we propose a flipped educational model for a college class. This experimental research compares class of college algorithm using the flipped classroom methods and the traditional lecture-homework structure and its effect on student achievement. The result data of mid-term exam and final exam were analyzed and compared with previous year data. The findings of this research show that there was not a significant difference in the scores of student between two lecturing methods. The survey result and lecture evaluation by students show that students are in favor of the flipped learning.

Assessment of Academic Utilization of Online Information Resources by Undergraduate Students in University of Nigeria, Nsukka

  • Mole, Austin J.C.
    • International Journal of Knowledge Content Development & Technology
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    • v.7 no.3
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    • pp.29-48
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    • 2017
  • The aim of this paper was to determine the utilization of online information resources by undergraduate students in the University of Nigeria, Nsukka. It was undertaken specifically with the objectives of identifying the online information resources used; academic purposes for their use, extent, problems and strategies for improving the academic use of the resources by undergraduate students. Descriptive survey was used as the research design. The population of this study comprises of all 25,657 regular registered undergraduate students in University of Nigeria, Nsukka. The sample for this study comprises 2500 students which is 10% of the population. The results of the study shows that most of the online information resources are not used by the undergraduate students. Just a few of them are highly used. Some of the academic purposes for the use of the resources include to do course assignment and project works and to stay up-to-date on social events. The major problems responsible for the low utilisation of the resources include incessant power failure, limited available computers in the university library, and server's low bandwidth. Based on the findings, maintenance of uninterrupted power supply, provision of enough computers in the library; constant upgrade of server's bandwidth and many more were recommended as the strategies for improving the use of online information resources by undergraduate students in UNN. The implication of this study lies in the fact that solutions to the problems raised would be helpful to the university management, librarians and students in ensuring maximum and adequate provision and effective utilisation of online information a resources in the library.

Analysis of Effects of Learning Motivation on the Interaction in Online Cooperation Learning (온라인 협력학습에서 학습동기가 상호작용에 미치는 영향 분석)

  • Lee, Eun-Chul
    • The Journal of the Korea Contents Association
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    • v.17 no.7
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    • pp.416-424
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    • 2017
  • The purpose of this study is to analyze the effects of learning motivation on interaction in online collaborative learning. The study subjects are 79 university students who take courses in teaching. Learning motivations measured the intrinsic goal orientation, extrinsic goal orientation, tasks value, control of learning beliefs, test anxiety, self-efficacy, goal orientation by MSLQ. Next, the level of interaction was measured by online collaborative tasks. The group for online cooperation tasks consisted of four to five people and random assignment. The level of interaction was used frequency and score that quantitative Value assess. The collected data were analysed using multiple regression analysis(stepwise). As a result, self-efficacy and extrinsic goal orientation, tasks value, mastery goal orientation were positive effect on frequency and score. next, test anxiety and performance avoid goal orientation were negative effect on frequency and score.

Undergraduates' Satisfaction of Online Classes : Focused on differences between Colleges (대학생의 원격수업운영에 대한 만족도 분석 : 단과대학별 차이를 중심으로)

  • Kim, Seong Ju;So, Yeon Hee
    • Journal of the International Relations & Interdisciplinary Education
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    • v.1 no.1
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    • pp.46-60
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    • 2021
  • The main purpose of this study was to examine the satisfaction of online classes of undergraduates who have experienced sudden online classes in college because of COVID-19, and to analyze the differences of the satisfaction of online classes depending on colleges. The participants were 1,380 college students. Descriptive statistics, one-way ANOVA, and Post-hoc Scheffé were performed. Undergraduates were highly satisfied with online classes in cultural subjects and major subjects, whereas they showed low satisfaction with appropriateness of the assignment. There were statistically significant differences in online class satisfaction between colleges. Students at the College of Education were highly satisfied with online classes satisfaction, while engineering students were less satisfied with online classes satisfaction. There were statistically significant differences in students engagements between colleges. Regardless of colleges, students displayed low satisfaction in e-class server and teaching and learning infrastructure. These findings suggest that we need to provide autonomous support and make an effective online learning environment such as server expansion and e-class improvement to enhance undergraduates' self-directed learning. We also should come up with effective online classes guidelines.

Casual Hanbok Brand Online Communication -Congruency between Intended and Perceived Images- (캐주얼 한복 브랜드의 온라인 커뮤니케이션 -의도된 이미지와 지각된 이미지의 일치성-)

  • Seon, Joon-Ho;Lee, Kyu-Hye
    • Journal of the Korean Society of Clothing and Textiles
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    • v.46 no.5
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    • pp.772-788
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    • 2022
  • This study investigates whether the image of the casual Hanbok brand is being communicated to consumers successfully. We conducted a semantic network analysis to identify ways of revitalizing communication between casual Hanbok brands and consumers; in addition, we quantitatively evaluated the effectiveness of communication marketing through Quadratic Assignment Procedure (QAP) analysis. Unstructured data from 2014-2021 were collected through portal sites and then refined and networked. Our analysis showed that casual Hanbok brands generally target younger people and that different brands employ similar methods to promote and popularize the casual Hanbok style. Consumers tended to recognize and show interest in casual Hanbok, suggesting the potential to expand the market to Blue Ocean. However, some of our findings revealed the potential factors of style coordination risk and prejudice against existing Hanbok, which could potentially hinder casual Hanbok's uptake and adoption. We conclude that increasing the demand for casual Hanbok depends not only on delivering an accurate brand image to consumers but also on balancing fashion with traditional images when planning products and providing styling information.

A Method for Assigning Clients to Servers for the Minimization of Client-Server Distance Deviation (클라이언트-서버간 거리 편차의 최소화를 위한 클라이언트의 서버 배정 방법)

  • Lee, Sunghae;Kim, Sangchul
    • Journal of Korea Game Society
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    • v.16 no.3
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    • pp.97-108
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    • 2016
  • Multi-client online games usually employ multi-serve architectures. For group play, if the user response time deviation between the clients in a group is large, the fairness and attractions of the game will be degraded. In this paper, given new clients, we propose a method for assigning the clients to servers to minimize the deviation of client-server distance which plays a major role in the user response time. This method also supports client matching for group play and server load balancing. We formulate the client-server assignment problem as an IP one, and present a GA(Genetic Algorithm)-based algorithm to solve it. We experimented our method under various settings and analyzed its features. To our survey, little research has been previously performed on client-server assignment under consideration of client matching, distance deviation minimization and server load balancing.

A Case Study of a Blended Learning for English Listening and Reading Class (영어 듣기와 읽기 수업을 위한 블렌디드 러닝 사례 연구)

  • Choi, Mi Yang
    • Journal of Digital Convergence
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    • v.19 no.4
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    • pp.241-249
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    • 2021
  • This study is investigating the effectiveness of a blended learning for English listening and reading class by analyzing students' learning behavior. To this end, two surveys were conducted on a total of 75 students from the two different classes of Academic English Listening and Reading course. The research results showed that in the online class, the students built undesirable learning behavior such as solving listening quizzes by reading listening scripts or watching the instructor's lectures about the scripts and completing the assignment of summary of the scripts by referring to the Korean versions. In the offline class, the students' participation in group activities and attention to lectures was good. Therefore, it can be concluded that because of the students' poor online learning behavior, this blended learning was rather not effective. So the suggestions are discussed to enhance the effectiveness of the blended learning for English listening and reading.

Interaction Effects of the Host Country Image and Cultural Intelligence on Organizational Attractiveness in Emerging Economies

  • KIM, Eunmi;HONG, Gahye
    • East Asian Journal of Business Economics (EAJBE)
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    • v.8 no.1
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    • pp.71-80
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    • 2020
  • Purpose - The purpose of this paper is to advance the understanding of the relationship between host country image and cultural intelligence (CQ) on the attractiveness of expatriate destinations. Specifically, this study compares the different impacts of CQ on the relationship between host country image and subsidiary attractiveness by comparing a US-based subsidiary and a Vietnam-based one. Research design and methodology - A total of 445 Korean full-time workers responded through an online survey. The survey randomly showed the participants one of two conditions for a potential expatriate location. The participants were asked to answer a series of questions on the organizational attractiveness of the subsidiaries from the perspective of an expatriate candidate and respond to a series of questions on individual CQ. Results - Through a two-way ANOVA test, the results reveal that Korean expatriate candidates perceive that a Vietnam-based subsidiary is a less attractive destination for international assignment when compared to a US-based subsidiary. In addition, the positive moderating effect of cultural intelligence on the relationship between the host location and the subsidiary's attractiveness is stronger when Vietnam, rather than the US, is the assignment location. Conclusions - Drawing upon AUM theory, this study confirmed that unfavorable country image affects subsidiaries' attractiveness for expatriate candidates, due to anxiety. However, this study showed the role of employees' CQ to mitigate these challenges. This study suggests providing information on positive conditions of expatriate locations and building systematic process for enhancing individual CQ for organizations.

Rolling Horizon Implementation for Real-Time Operation of Dynamic Traffic Assignment Model (동적통행배정모형의 실시간 교통상황 반영)

  • SHIN, Seong Il;CHOI, Kee Choo;OH, Young Tae
    • Journal of Korean Society of Transportation
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    • v.20 no.4
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    • pp.135-150
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    • 2002
  • The basic assumption of analytical Dynamic Traffic Assignment models is that traffic demand and network conditions are known as a priori and unchanging during the whole planning horizon. This assumption may not be realistic in the practical traffic situation because traffic demand and network conditions nay vary from time to time. The rolling horizon implementation recognizes a fact : The Prediction of origin-destination(OD) matrices and network conditions is usually more accurate in a short period of time, while further into the whole horizon there exists a substantial uncertainty. In the rolling horizon implementation, therefore, rather than assuming time-dependent OD matrices and network conditions are known at the beginning of the horizon, it is assumed that the deterministic information of OD and traffic conditions for a short period are possessed, whereas information beyond this short period will not be available until the time rolls forward. This paper introduces rolling horizon implementation to enable a multi-class analytical DTA model to respond operationally to dynamic variations of both traffic demand and network conditions. In the paper, implementation procedure is discussed in detail, and practical solutions for some raised issues of 1) unfinished trips and 2) rerouting strategy of these trips, are proposed. Computational examples and results are presented and analyzed.

The Effect of Anonymity on Virtual Team Performance in Online Communities (온라인 커뮤니티 내 익명성이 가상 팀 성과에 미치는 영향)

  • Lee, Un-Kon;Lee, Aeri;Kim, Kyong Kyu
    • The Journal of Society for e-Business Studies
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    • v.20 no.1
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    • pp.217-241
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    • 2015
  • One of the challenges in online community management is what level of perceived anonymity can be granted to encourage active participation from members while discouraging unhealthy activities. Few studies developed a scheme of anonymity and investigated how different levels of anonymity influence community activities. This study develops a classification scheme of anonymity encompassing the following three different levels : (1) real name(no anonymity), (2) nickname (partial anonymity), and (3) random assignment of a temporal ID (complete anonymity). Then, it examines how different levels of anonymity influence trust and perceived risk, which in turn affect virtual team performance. A series of laboratory experiments were performed, manipulating the levels of anonymity, in the context of well-structured communities that allow prior interactions among community members. The data was collected from 364 laboratory participants and analyzed using ANOVA and PLS. The results indicate that the difference of anonymity between (2) and (3) had not be significant and the only (1) could not guarantee the anonymity. The impact of anonymity on trust and perceived risk could not be significant in this situation. These findings could contribute to make more beneficial member identification strategies in online community practice.