• Title/Summary/Keyword: 온라인 행동 정보

Search Result 305, Processing Time 0.028 seconds

Construction of Online Classroom Monitoring System (실시간 온라인 수업행동분석시스템 구축)

  • Kim, Se Hoon;Choi, Jeong Woo;Kim, Jeong Ah
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2010.11a
    • /
    • pp.421-424
    • /
    • 2010
  • 수업역량향상을 위해 최근 각 학교별 수업행동분석실을 갖추고 있는 추세이다. 하지만 수업행동분석실은 많은 비용, 시연자와 분석자에 대한 시공간적 제약, 비효율적인 피드백 방법, 사후 자가분석 어려움 등 많은 문제가 존재한다. 본 논문에서는 온라인 수업행동분석시스템 설계를 통해 물리적 공간 설치의 비용을 절감하고 전문가 참여를 위한 시간적 제약을 극복할 수 있는 방법을 제안하였다.

Deep Learning-Based Personalized Recommendation Using Customer Behavior and Purchase History in E-Commerce (전자상거래에서 고객 행동 정보와 구매 기록을 활용한 딥러닝 기반 개인화 추천 시스템)

  • Hong, Da Young;Kim, Ga Yeong;Kim, Hyon Hee
    • KIPS Transactions on Software and Data Engineering
    • /
    • v.11 no.6
    • /
    • pp.237-244
    • /
    • 2022
  • In this paper, we present VAE-based recommendation using online behavior log and purchase history to overcome data sparsity and cold start. To generate a variable for customers' purchase history, embedding and dimensionality reduction are applied to the customers' purchase history. Also, Variational Autoencoders are applied to online behavior and purchase history. A total number of 12 variables are used, and nDCG is chosen for performance evaluation. Our experimental results showed that the proposed VAE-based recommendation outperforms SVD-based recommendation. Also, the generated purchase history variable improves the recommendation performance.

Factors Influencing the Online Learning Behaviors of Middle School Students in South Korea (한국 중학생의 온라인 학습 행동에 영향을 미치는 요인)

  • Na, Kyoungsik;Jeong, Yongsun
    • Journal of Korean Library and Information Science Society
    • /
    • v.53 no.3
    • /
    • pp.263-285
    • /
    • 2022
  • This study presented the factor analysis on constructing the new factors affecting the middle school students' online learning behaviors from the questionnaires employed among middle school students. A total of 204 students participated and the data were collected in South Korea. The sample of middle school ninth-grade students was selected and used through purposive sampling. Findings from the factor analysis provided evidence for the eight-factor solution for the 35-items accounting for 66.15% of the shared variance. A wide range of factors has been considered to identify students' online learning behaviors. The appropriate experience and use of e-learning in the middle school period is also important as it will be a critical stepstone for future education. This research provides information that has been taken into account for advancing online learning to enhance the quality of e-learning systems for middle school students. The study results provided eight new factors affecting the middle school students' online learning behaviors; that is 1) communication using social media as a learning tool, 2) intention to share information using ICT, 3) addiction of technology, 4) adoption of technology, 5) seeking information using ICT, 6) use of social media learning, 7) information search using ICT, and 8) immersion of technology. This study confirmed that middle school students prefer communication using social media as a learning tool, and value intention to share information using ICT for the most part. The data obtained based on factor analysis can highlight the online learning behaviors towards a mixture of social media learning and ICT to ensure a new educational platform for the future of e-learning. This research expects to be useful for both middle schools of online learning to better understand students' online learning behaviors and design online learning environments and information professionals to better assist students who particularly need digital literacy.

Privacy Behavioral Intention in Online Environment: Based on Protection Motivation Theory (온라인 환경에서 프라이버시 행동의도에 미치는 영향 - 보호동기이론을 중심으로 -)

  • Kim, Jongki;Kim, Sanghee
    • Informatization Policy
    • /
    • v.20 no.3
    • /
    • pp.63-85
    • /
    • 2013
  • Drawing on Protection Motivation Theory(PMT), this study attempts to clarify antecedents that influence the intention to protect individuals' privacy on the Internet. Protection motivation forms through individuals' cognitive appeal involving threat and efficacy. Then protection motivation causes privacy behavioral change. Protection motivation factors are established privacy trust and privacy risk, which are related to privacy attitude and belief. This proposed model is empirically analyzed by utilizing structural equation analysis(SEM). According to the result of the empirical analysis, it is founded that almost paths have statistically significant explanatory power except path from efficacy to privacy risk and path from privacy trust to privacy behavioral intention. This study shows powerful evidence of antecedent factors based on protection motivation of individuals' privacy behavioral intention in online environment.

  • PDF

Analysis and Proposal of "Do Not Track" Regulations for Online Behavioral Advertising (온라인 행동기반 맞춤형 광고를 위한 온라인 추적 금지 제도 분석 및 제안)

  • Choi, Jinju;Lee, Chunghun;Kim, Beomsoo
    • The Journal of Society for e-Business Studies
    • /
    • v.17 no.4
    • /
    • pp.155-174
    • /
    • 2012
  • As Online Behavioral Advertising is dramatically growing with usefulness of information and user convenience in recent years, there are privacy issues caused by collecting user's behavioral information without their consent. To tackle the problem, the need of Do Not Track regulations is getting much higher. In Korea, however, it has never existed. So, this study is examining the case of the major countries have been enforcing the law and regulations of DNT. After that, it is classified with four domain (law/regulation, corporation, individual, society) to include all stakeholders of OBA. Furthermore, this study may have academic significance by suggesting DNT framework through analysis of them. Providing DNT mechanism consisted of three type (behavioral information, control, DNT system), it can be useful guidelines for companies to support decision making as introduced DNT. As analyzed between DNT and stakeholders based on the study of OBA market, it will be useful basic material of OBA study later.

Key Factors Influencing Online Relational Intimacy in the Context of Social Networking Services (SNS 환경에서 온라인 관계 친밀도에 영향을 미치는 선행 요인들)

  • Kim, Byoungsoo
    • Journal of Digital Convergence
    • /
    • v.18 no.7
    • /
    • pp.149-156
    • /
    • 2020
  • This study investigated the key factors affecting online relational intimacy in the context of SNS. Based on the use and gratification theory, self-presentation, relationship formation and information searching were identified as the main needs of SNS usage. These needs were expected to influence online relational intimacy through user satisfaction, subjective well-being, and disclosing information behaviors. The theoretical framework was validated by a longitudinal method. Hypotheses were tested by using the partial least squares to data from 199 Facebook users. Self-presentation and information searching had a significant impact on both user satisfaction and subjective well-being. However, relationship formation did not significantly affect both user satisfaction and subjective well-being. User satisfaction had a significant direct effect only on online relational intimacy. Subjective well-beings played a significant role in enhancing both disclosing information behaviors and online relational intimacy. Finally, it has been found that disclosing information behaviors are a key factor in enhancing online relational intimacy. The results of this study are expected to provide academic and practical implications for the key antecedents of online relational intimacy.

A Method for Detecting Learning Activities in Online Classes Based on LSTM (LSTM 기반의 온라인 수업 속 학습활동 검출 방법)

  • Park, Ji-Young;Park, Se-Hee;Park, Seung-Bo
    • Proceedings of the Korean Society of Computer Information Conference
    • /
    • 2021.07a
    • /
    • pp.97-98
    • /
    • 2021
  • 학습에 대한 적극적인 참여는 학업에서 중요한 행동이며 높은 학업 참여는 성공적인 학업성취와 밀접한 관계가 있다. 학업 참여는 학자들의 관점에 따라 행동적 참여, 정서적 참여, 인지적 참여로 구분된다. 행동적 참여는 학생들이 실제 학습활동과 과제 수행에 어떻게 참여하는가로 정의한다. 그러나 온라인 학습 환경에서는 학생들의 학습활동을 평가하는 데 어려움이 존재하여 관련된 연구의 필요성이 대두되고 있다. 본 논문에서는 영상 분석을 이용한 양방향 Convolutional LSTM 모델을 기반으로 온라인 수업 상에서 학습활동 중 하나인 손들기 행동을 인식하는 방법을 제안한다. 제안된 방법으로 학습활동 중 하나인 손들기 행동의 인식 정확도는 88%이다.

  • PDF

The Effects on Knowledge Contribution in Online Communities (온라인 커뮤니티 지식공헌에 미치는 영향요인)

  • Shin, Ho-Kyoung;Lee, Ki-Won;Kim, Kyeong-Jun
    • Journal of the Korea Society of Computer and Information
    • /
    • v.14 no.4
    • /
    • pp.153-160
    • /
    • 2009
  • This study investigated what factors influence the knowledge contribution in online communities. Based on the theoretical framework like self-presentation theory and organizational citizenship behavior theory, we developed the research model and proposed four hypotheses. In order to test our hypotheses with an empirical study, we have conducted a survey which resulted in 192 valid responses in the final sample. The PLS analysis results indicate that knowledge contribution is influenced by self-presentation, innovation, organizational citizenship behavior, and affection similarity of online community users. Practical implications of these findings and future research implications are also discussed.

An Exploratory Factor Analysis on the Collaborative Information Behaviors of an Online Community Responding to the MV Sewol Tragedy (세월호 비극에 대한 온라인 커뮤니티의 협력적 정보행동에 관한 탐색적 요인 분석 연구)

  • Jisue Lee
    • Journal of Korean Library and Information Science Society
    • /
    • v.54 no.1
    • /
    • pp.191-220
    • /
    • 2023
  • This research attempts to identify how members of an online community collaboratively engaged with particular social information behaviors and accomplished a defined collective action. While responding to the Sewol Ferry tragedy, MissyUSA members quickly communicated and mobilized a collective action, a full-page ad campaign in The New York Times. As a follow up study, this secondary analysis quantitatively analyzes the primary data from a previous study to explore potential relationships or underlying factors among the various identified information behaviors. In this study, nineteen of the previously identified information behaviors were analyzed using exploratory factor analysis, yielding a total of eight factors. The two major factors of shared representation/collective identification and mobilizing resources verified the findings of the previous study and are in line with the findings typical of political science. The three factors of collaborative decision-making, reaction to tension, and brainstorming were factors that maximized communication and mobilization online, without any face-to-face communication or physical organization. Three emergent factors of outburst of dissent, boycott, and planning explained how members used negative emotions of anger, referential information for boycott, and incubated next collective actions. Through exploratory factor analysis, this study verifies and expands on the findings of the previous study by identifying several emergent factors that relate to the collaborative information behaviors of an online community engaged in a collective action.

An Investigation of Users' Privacy Protection Behaviors: Factors Affecting Privacy Protection Technology Adoption (개인정보보호 기술 수용행동에 영향을 미치는 요인에 대한 연구)

  • Choi, Bomi;Park, Minjung;Chai, Sangmi
    • Information Systems Review
    • /
    • v.17 no.3
    • /
    • pp.77-94
    • /
    • 2015
  • As Internet has become a popular media for sharing information, users create and share tremendous volume of information including large amount of personal information in cyberspace. Sharing private information online can enhance strength of social relationship but it could also bring negative consequences like information privacy invasion. Although many companies and governments address the importance of information privacy online, there are countless cases of crimes and hackings relating personal information online world wide. Since there are some researches investigating the role of governments and organizations on online privacy domain but there is little research regarding users' privacy protection behaviors. This study investigates relationship between Internet users' information privacy protection behavior and environmental factors. Especially, this study focuses on users' behaviors regarding information privacy protection technology adoption. According to our research results, users' online privacy protective behaviors positively affected by governmental regulations expressed as an information privacy protection law. In addition, if user is allowed to use anonymity when he or she uses online services, they have more tendencies to adopt privacy protection technologies. The detailed research findings and contribution are discussed as well.