• Title/Summary/Keyword: Trust in learning

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Effects of Clinical Learning Environment and Professor Trust on Academic Engagement in Nursing Students (간호대학생의 임상실습교육환경과 교수신뢰가 학업참여에 미치는 영향)

  • Kim, Eun-Mi;Hong, Ji-Yeon;Lee, Eun-Kyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.5
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    • pp.357-365
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    • 2018
  • This descriptive study was conducted to investigate the relationship between clinical learning environment, professor trust, and academic engagement in nursing students. The findings of the study provide the basis for nursing education improvement related to academic engagement in nursing students. Data were collected from 120 nursing students at a university. Measurement parameters consisted of clinical learning environment (CLE, Clinical Learning Environment) 19 items, professor trust (PTS, Professor Trust Scale) 27 items, and academic engagement (UWES-S, Utrecht Work Engagement Scale-Students) 13 items. The general characteristics of respondents were as follows: average age 21.91 years, females 87.4%, third grade 50.5%, fourth grade 49.5%, and an academic score just before the semester of high 16.2%, middle high 35.1%, middle low 36.9%, or low 11.5%. Academic engagement showed a statistically significant correlation between clinical learning environment and professor trust. Regression analysis showed that clinical learning environment (CLE), professor trust (PTS), and academic score just before the semester affected academic engagement. Results of this study suggest that clinical learning environment should be improved, and professor's efforts to give students credibility should be followed for academic engagement of nursing students.

TPMP: A Privacy-Preserving Technique for DNN Prediction Using ARM TrustZone (TPMP : ARM TrustZone을 활용한 DNN 추론 과정의 기밀성 보장 기술)

  • Song, Suhyeon;Park, Seonghwan;Kwon, Donghyun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.32 no.3
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    • pp.487-499
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    • 2022
  • Machine learning such as deep learning have been widely used in recent years. Recently deep learning is performed in a trusted execution environment such as ARM TrustZone to improve security in edge devices and embedded devices with low computing resource. To mitigate this problem, we propose TPMP that efficiently uses the limited memory of TEE through DNN model partitioning. TPMP achieves high confidentiality of DNN by performing DNN models that could not be run with existing memory scheduling methods in TEE through optimized memory scheduling. TPMP required a similar amount of computational resources to previous methodologies.

Influencing Factors for Repurchase Intention in e-Learning Sites

  • Lee, Myung-Moo;Chung, In-Keun
    • Proceedings of the CALSEC Conference
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    • 2005.03a
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    • pp.96-100
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    • 2005
  • This study examines the effects of the characteristics of educational contents, brand recognition, educational management and technical support on the repurchase intention mediated by overall satisfaction, trust and commitment in e-Learning sites. A survey of experienced users was conducted to collect data. The reliability and validity of data were tested by explanatory factor analysis, Cornbach's alpha coefficient, confirmatory factor analysis and correlation analysis. Also, the structural equation mode (SEM) analysis was performed to test the usefulness of the model. The results of the study are as follows: Educational contents, educational management and technical support were found to have positive effects on overall satisfaction. And educational contents and brand recognition were found to have positive effects on trust and commitment. And trust and overall satisfaction were found to have mediating effects on repurchase intention.

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A Study on the Relationship among Communication Competency, Social Network Centralities, Discussion Performance, and Online Boarding Activity in the Team Based Learning (팀 기반 토의 수업에서 의사소통능력, 사회연결망 중심도, 토론성과 및 온라인 게시활동의 관계 연구)

  • Heo, Gyun
    • Journal of Fisheries and Marine Sciences Education
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    • v.27 no.1
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    • pp.108-114
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    • 2015
  • The purpose of this study is to find the relationships among communication competency, social network centrality(trust centrality and knowledge sharing centrality), discussion performance, and online boarding activity in the team based learning situation. For investigating this topic, 44 students are participated in the classes of educational technology. In order to find out the relationships among communication competency, social network centrality, discussion performance, and online boarding activity, compared t-test and path analysis are used. Followings are the results of the research: (a) Communication competency is improved significantly after team based learning. (b) Trust centrality effects significantly on the knowledge sharing centrality. (c) Knowledge sharing effects significantly on discussion performance. (d) Trust centrality effects on the online boarding activity in the team based learning.

The Effects of Shared Leadership on Team Performance and Team Commitment of Team-Based Learning in Nursing Students: Mediating Effects of Team Trust (간호학생의 팀기반학습에서 공유리더십이 팀성과 및 팀몰입에 미치는 영향: 팀신뢰의 매개효과)

  • Han, Ju-Rang
    • Journal of Digital Convergence
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    • v.14 no.12
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    • pp.303-311
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    • 2016
  • This study was to identify the effects of shared leadership on team performance and team commitment of Team-Based Learning(TBL) in nursing students and verify the mediating effects of team trust on the relationships between shared leadership and team performance and team commitment. Data were collected via survey from 99 nursing students to participate in TBL for 6weeks, in June 2016. The major findings were as follows: Shared leadership had a significant correlation with team performance and team commitment and team trust. Shared leadership had a positive effect on team performance and team commitment. Team trust had a partial mediating effect in the relationship between shared leadership and team commitment. The results of study show that shared leadership of TBL is very important for high team performance and team commitment and shared leadership make effect on team commitment under the mediation of team trust. Therefore, it is necessary to increase shared leadership and team trust for high team effectiveness in TBL.

Machine Learning Methods for Trust-based Selection of Web Services

  • Hasnain, Muhammad;Ghani, Imran;Pasha, Muhammad F.;Jeong, Seung R.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.1
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    • pp.38-59
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    • 2022
  • Web services instances can be classified into two categories, namely trusted and untrusted from users. A web service with high throughput (TP) and low response time (RT) instance values is a trusted web service. Web services are not trustworthy due to the mismatch in the guaranteed instance values and the actual values achieved by users. To perform web services selection from users' attained TP and RT values, we need to verify the correct prediction of trusted and untrusted instances from invoked web services. This accurate prediction of web services instances is used to perform the selection of web services. We propose to construct fuzzy rules to label web services instances correctly. This paper presents web services selection using a well-known machine learning algorithm, namely REPTree, for the correct prediction of trusted and untrusted instances. Performance comparison of REPTree with five machine learning models is conducted on web services datasets. We have performed experiments on web services datasets using a ten k-fold cross-validation method. To evaluate the performance of the REPTree classifier, we used accuracy metrics (Sensitivity and Specificity). Experimental results showed that web service (WS1) gained top selection score with the (47.0588%) trusted instances, and web service (WS2) was selected the least with (25.00%) trusted instances. Evaluation results of the proposed web services selection approach were found as (asymptotic sig. = 0.019), demonstrating the relationship between final selection and recommended trust score of web services.

The Structural Relationship among Individual Creativity, Team Trust, Team Efficacy and Collective Intelligence in Collaborative Learning at Universities (대학 협력학습에서 개인창의성, 팀신뢰, 팀효능감 및 집단지성의 구조적 관계)

  • Song, Yun-Hee
    • Journal of Convergence for Information Technology
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    • v.10 no.9
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    • pp.173-182
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    • 2020
  • In recent years, collaborative learning in university courses has been emphasized in order to improve collective intelligence. Based on literature reviews, individual creativity was used as a variable of personal characteristic, team trust and collective efficacy were used as variables of teams to see the relationship with collective intelligence as a variable of learning outcome. Data were collected from 770 students from A University in Gyeonggi-do, H University in the Daejeon, and K University in Chungcheong-do, and analyzed by using structural equations modeling. As results, individual creativity had significant influence on collective efficacy and collective intelligence. Team trust also had significant influence on collective efficacy and collective intelligence. In addition, collective efficacy had a positive effect on collective intelligence. This study will be able to utilize basic data for establishing instructional design and strategies of collaborative learning in the universities.

A Study on the effect of Learning organization activities on the Job burnout -Trustworthiness as a Moderating variable- (학습조직활동이 직무소진에 미치는 영향 -상사 신뢰성의 조절효과를 중심으로-)

  • Kim, Jin-Wook;Chang, Young-Chul
    • Management & Information Systems Review
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    • v.35 no.4
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    • pp.185-211
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    • 2016
  • This study examined the impact of learning organization activities on burnout and the moderating effect of supervisor trust in a learning organization. The results of the study shows that among the activities of a learning organization, independent variables in this study, promoting inquiry and dialogue as well as encouraging collaboration and team learning affect burnout. In other words, the dedication of an organization to creating a culture in which various learning approaches are experimented through questioning and giving feedback as well as collaborative learning that can reinforce the effective use of team resources have an impact on reducing emotional exhaustion, which is considered to be at the core of burnout. Plus, these factors reduce impersonalization, which is activated to prevent further emotional exhaustion by dealing with customers, colleagues and jobs in a cold, negative and perfunctory way. In this study, the dimensions of promoting inquiry and dialogue as well as encouraging collaboration and team learning were found to reduce the decline in personal sense of achievement of an employee with a negative assessment of himself or herself derived from a lack of achievement in his or her job. Supervisor trust (integrity, benevolence and ability) had a moderating effect on the relationship between strategic learning leadership and impersonalization/emotional exhaustion. This suggests that the trust of supervisor helps mediate and moderate the emotional exhaustion and impersonalization of organizational members by encouraging leaders to drive change and take the organization to a new direction. The study has provided implications that communication plays an important role in reducing burnout in the learning context such as positive, appreciative inquiry and feedback analysis to identify strength, and that supervisor trust is critical in order to ensure strategic learning leadership exerts greater influence on the organization.

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Detection of TrustZone Rootkits Using ARM PMU Events (ARM PMU 이벤트를 활용한 TrustZone 루트킷 탐지에 대한 연구)

  • Jimin Choi;Youngjoo Shin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.6
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    • pp.929-938
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    • 2023
  • ARM processors, utilized in mobile devices, have integrated the hardware isolation framework, TrustZone technology, to implement two execution environments: the trusted domain "Secure World" and the untrusted domain "Normal World". Rootkit is a type of malicious software that gains administrative access and hide its presence to create backdoors. Detecting the presence of a rootkit in a Secure World is difficult since processes running within the Secure World have no memory access restrictions and are isolated. This paper proposes a technique that leverages the hardware based PMU(Performance Monitoring Unit) to measure events of the Secure World rootkit and to detect the rootkit using deep learning.

Creating an e-Benchmarking Model for Authentic Learning: Reflections on the Challenges of an International Virtual Project

  • LEPPISAARI, Irja;HERRINGTON, Jan;IM, Yeonwook;VAINIO, Leena
    • Educational Technology International
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    • v.12 no.1
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    • pp.21-46
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    • 2011
  • International virtual teamwork offers new opportunities for the professional development of teachers. In this paper, we examine the initial experiences in an ongoing international virtual benchmarking project coordinated by the Finnish Online University of Applied Sciences. What challenges does an international context present for project construction and collaboration? Data from five countries, in the form of participant reflections and researchers' observations, were analysed according to four types of barriers: language, time, technical and mental barriers. Initial data indicates that trust is an essential starting point, as there is neither time nor possibilities to build mutual trust by traditional means. Organisational confidentiality issues, however, can complicate the situation. The project introduces 'collision' as a method of professional development, in which physical and organisational borders are crossed and the skills and competencies needed in global learning environments are acquired.