• Title/Summary/Keyword: acceptance of technology in education

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Influential processes for the acceptance of protectors toward emergency care for patient based on an elaboration likelihood model (보호자의 응급처치 수용의도에 관한 연구: 정교화 가능성 모델 중심)

  • Hwang, Ji-Young;Kim, Yun-Kwon;Kim, Ki-Young
    • The Korean Journal of Emergency Medical Services
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    • v.19 no.3
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    • pp.51-68
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    • 2015
  • Purpose: This study validated the influential relations between the effects of emergency care quality, credibility of 119 emergency medical technicians (119 EMTs), and perceived usefulness and attitude of emergency care, focusing on the moderating effect of protectors' characteristics (education, experience, age, and recognition of patient severity). Methods: This study was based on elaboration likelihood and technology acceptance models. In total, 172 protectors with experience in utilizing prehospital service were surveyed from April 1 to July 31, 2011. Results: The results showed that the emergency care quality and the credibility of 119 EMTs were the main determinants of the perceived usefulness and attitude of emergency care, irrespective of the protector's characteristics (p <.001). In addition, the findings showed that the protector's intention of emergency care had a moderating role. The impact of the quality of emergency care on its perceived usefulness was greater for high-level protectors (p <.001). By contrast, the impact of the credibility of 119 EMTs on the perceived usefulness of emergency care was greater for low-level protectors (p <.001). Conclusion: The protectors' characteristics have different influences on the relations between the effects of emergency care quality, the 119 EMT credibility, and the perceived usefulness and attitude of emergency care.

Analysis of Sensible Factors on Service Acceptance Intention of Smart City (스마트시티의 서비스 수용의도에 대한 체감요소 분석)

  • Yang, Jeon-Seong;You, Yen-Yoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.5
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    • pp.146-156
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    • 2021
  • A smart city refers to an intelligent city solving problems arising from the concentration its population using IT technology. Various services such as safety, transportation, environment, education, and medical care are provided in a smart city. Still, the degree of service experienced by the residents is lower compared to the technological maturity. Hence, the service acceptance intention factor needs to be improved. In this study, User Characteristic and Service Characteristic variables were identified separately to improve the awareness and experience of smart services among citizens of the smart city and analyze the intention of easy service acceptance. Based on the results, the present study is expected to improve citizen's quality of life and form a happy society. This improvement in citizens and society is achieved by drawing active participation from citizens and investments from the government and private enterprise through solving various problems in the city.

A Study on the Successful Elements of Cyber University Introduction (가상대학 도입의 성공 요인에 관한 연구)

  • 하태연
    • The Journal of Information Technology and Database
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    • v.7 no.1
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    • pp.99-111
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    • 2000
  • The aim of this study is to find the key elements for the successful introduction of a Cyber University (CU) in Korea. Since information technology (IT) has dramatically changed our lives it is inevitable for education to follow suit. The old education system was based on the following principle, of a teacher physically interacting with his or her pupils at a school. However, this is set to become infinitely more flexible with the freedom of choice given to the pupil who are now able to adopt, beyond barriers of time and space what, and how they study. All this will be made possible with the use of IT. The essentials for the CU would be a positive and flexible education paradigm, also able to satisfy students with a totally new system of education that replaces physical interaction with virtual interaction. Another point that needs to be taken into account is the number of potential students, their expectations and needs. And any national or international restrictions need to be addressed. One major hurdle for the acceptance of a CU in Korea is the vast difference between its conservative culture and directness of Western culture. Despite this, it will soon become imperative for Korea that she embraces the rapidly changing attitudes and requirements in order for the survival of the nation and an individual.

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A Study of Factors Influencing Intention to use Technology in Teaching Activities (교수활동에서 테크놀로지 수용의도 영향 변인에 관한 연구)

  • Joo, YoungJu;Chung, AeKyung;Choi, Miran;Yi, SangHoi
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.3
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    • pp.221-229
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    • 2015
  • The purpose of this study is to verify factors influencing attitude to use of technology in teaching activities. For this study, a hypothetical technology acceptance model(TAM) was composed of TPACK, technostress, innovation, perceived ease of use, perceived usefulness, and behavioral intention to use technology in teaching activities. The survey was administered to 254 pre-service teachers. The result of this study through structural equation modeling analysis is as follows: First, TPACK significantly affects technostress. second, perceived ease of use affects perceived usefulness. Third, TPACK, technostress, perceived usefulness affects behavioral intention to use, but innovation and perceived ease of use did not affect behavioral intention to use. These results imply that TPACK, technostress, perceived usefulness are important to enhance behavioral intention to use technology in teaching activities. This study propose the constructive foundation for providing strategies raising the behavioral intention to use of technology in teaching activities.

A study on UTAUT Model of m-Learning Adoption in Higher Education (고등교육에서 Mobile learning 대한 새로운 UTAUT 모델연구)

  • Kook, Joong-Kak
    • Proceedings of the Korea Contents Association Conference
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    • 2014.11a
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    • pp.465-466
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    • 2014
  • 모바일 기술이 고등교육에 도입될 때, 특히 학생 사용자에 관하여 어떠한 요소들이 모바일 채택에 영향을 주는 가에 관한 연구모델과 가설을 이 논문에서 언급하고 있다. 미래 고등교육에 모바일러닝을 더욱 발전시키고 수립하고져 학생들에게 영향을 주는 요인(factor)을 찾고자 한다. 특히, UTAUT(Unified Theory of Acceptance and Use of Technology) 연구모델을 기초로 두고, 최근에 주요한 요소를 추가 하였다.

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An Analysis of Road User Acceptance Factors for Fully Autonomous Vehicles : For Drivers and Pedestrians (완전 자율주행자동차에 대한 도로이용자 수용성 요인 분석 : 운전자 및 보행자를 대상으로)

  • Jeong, Mi-Kyeong;Choi, Mee-Sun
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.5
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    • pp.117-132
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    • 2022
  • The purpose of this study is to analyze factors that affect road users' acceptance of fully autonomous vehicles (level 4 or higher). A survey was done with drivers of general cars and pedestrians who share roads with fully autonomous vehicles. Five acceptability factors were selected: trust towards technology, compatibility, policy, perceived safety, and perceived usefulness. The effect on behavioral intention was analyzed using structural equation modeling (SEM). The perceived safety and trust towards technology were found to be very important in the acceptance of fully autonomous vehicles, regardless of the respondent, and policy was not influential. Compatibility and perceived usefulness were particularly influential factors for drivers. In order to improve the acceptance by road users, securing technical completeness of fully autonomous vehicles is important. Certification and evaluation of the safe driving ability of fully autonomous vehicles should be thoroughly performed, and based on the results, it is necessary to improve the perception by road users. It is necessary to positively recognize fully autonomous vehicles through education and publicity for road users and to support their smooth interaction.

An Exploratory Study on Determinants Affecting R Programming Acceptance (R 프로그래밍 수용 결정 요인에 대한 탐색 연구)

  • Rubianogroot, Jennifer;Namn, Su Hyeon
    • Management & Information Systems Review
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    • v.37 no.1
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    • pp.139-154
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    • 2018
  • R programming is free and open source system associated with a rich and ever-growing set of libraries of functions developed and submitted by independent end-users. It is recognized as a popular tool for handling big data sets and analyzing them. Reflecting these characteristics, R has been gaining popularity from data analysts. However, the antecedents of R technology acceptance has not been studied yet. In this study we identify and investigates cognitive factors contributing to build user acceptance toward R in education environment. We extend the existing technology acceptance model by incorporating social norms and software capability. It was found that the factors of subjective norm, perceived usefulness, ease of use affect positively on the intention of acceptance R programming. In addition, perceived usefulness is related to subjective norms, perceived ease of use, and software capability. The main difference of this research from the previous ones is that the target system is not a stand-alone. In addition, the system is not static in the sense that the system is not a final version. Instead, R system is evolving and open source system. We applied the Technology Acceptance Model (TAM) to the target system which is a platform where diverse applications such as statistical, big data analyses, and visual rendering can be performed. The model presented in this work can be useful for both colleges that plan to invest in new statistical software and for companies that need to pursue future installations of new technologies. In addition, we identified a modified version of the TAM model which is extended by the constructs such as subjective norm and software capability to the original TAM model. However one of the weak aspects that might inhibit the reliability and validity of the model is that small number of sample size.

Factors influencing farmed fish traders' intention to use improved fish post-harvest technologies in Kenya: application of technology acceptance model

  • Jimmy Brian Mboya;Kevin Odhiambo Obiero;Maureen Jepkorir Cheserek;Kevin Okoth Ouko;Erick Ochieng Ogello;Nicholas Otieno Outa;Elizabeth Akinyi Nyauchi;Domitila Ndinda Kyule;Jonathan Mbonge Munguti
    • Fisheries and Aquatic Sciences
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    • v.26 no.2
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    • pp.105-116
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    • 2023
  • Improved fish post-harvest technologies (IFPT) have been promoted as more efficient methods of fish processing, preservation, and value addition than the traditional methods prevalent in developing countries. The adoption rates, however, do not appear to be convincing. The purpose of this study was to determine the socio-demographic and psychological factors that influence intention of Kenyan farmed fish traders to use IFPT. The technology acceptance model (TAM) was used to properly explain the impact of TAM constructs such as perceived usefulness (PU), perceived ease of use (PEOU), and attitude (ATT), as well as socio-demographic factors such as gender, age, education level and fish trading experience on traders' intention to use the technologies. A cross-sectional survey was conducted to collect data using a semi-structured questionnaire from 146 traders in Busia, Siaya and Kakamega counties. At a significance level of p = 0.05, a linear regression model was used to examine the socio-demographic and psychological determinants of the traders' behavioral intention to use the improved technologies. The regression analysis revealed that PU (β = 0.443; p = 0.000), PEOU (β = 0.364; p = 0.000) and ATT (β = 0.615; p = 0.000) influence traders' intention to use IFPT, with ATT having the highest influence on intention. However, the traders' socio-demographic characteristics have no effect on their intention to use the technologies, as the coefficients for gender (β = 0.148; p = 0.096), age (β = 0.016; p = 0.882), level of education (β = -0.135; p = 0.141) and fish trading experience (β = 0.017; p = 0.869) are all insignificant. These findings show that the traders intend to use IFPT and will use them when it is in their best economic interests.

Analysis on Determinants of Acceptance Intention of New Agricultural Technology: Using Innovation Resistance Model (농업 신기술 도입의향에 대한 결정요인 분석: 혁신저항모델을 이용하여)

  • Kim, Woong;Kim, Hong-Ki;Yu, Young-Seok;Noh, Jaejong;Chae, Yong-Woo;Choi, Jong-San
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.2
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    • pp.190-199
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    • 2019
  • This study was conducted to expand the distribution of new technology efficiently by analyzing the structure relationship based on the innovation resistance model and partial least square structural equation model (PLS-SEM). This study selected innovative propensity, relative advantage, compatibility, complexity, trialability, risk, and extension service consisting of educational, technical, and funding services as factors affecting innovation resistance. This study constructed a questionnaire that measured 11 factors including acceptance intention of new technology using 33 indicators. Data was from April to October, 2017, targeting 180 farmers who did not join in projects to spread new technologies of the Rural Development Administration. Results showed the factors positively and significantly affecting innovation resistance include complexity and risk. Innovative propensity did not have any effect on innovation resistance. However, it positively affected acceptance intention of new technology. The service of the extension organizations had a negative effect on innovation resistance, but did not affect acceptance intention of new technology. This study suggests that extension services should promote activities such as education, consulting, publicity and pilot projects related with new technologies in order to minimize the antipathy toward new agricultural technologies.

EDUCATIONAL EFFECTS OF RADIATION WORK-STUDY ACTIVITIES FOR ELEMENTARY, MIDDLE, AND HIGH SCHOOL STUDENTS

  • Han, Eun Ok;Kim, Jae Rok;Choi, Yoon Seok
    • Nuclear Engineering and Technology
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    • v.46 no.3
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    • pp.447-460
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    • 2014
  • The results of this study, suggest public communication to promote the use of radiation as follows: first, suitable information for the recipient's perception patterns should be provided, as there is a difference in risk perception and acceptance between the experts and the public. Thus, information on the necessity of nuclear power should be provided to the public, while information based on technical risks is provided by the experts. Second, since the levels of perception, knowledge, and attitudes increased highly for sectors which use radiation after the class, classes should be provided continuously to increase students' perception, knowledge, and attitude, which are all preemptive variables which induce positive behavioral changes. Third, since the seven sectors which use radiation are highly correlated, arguments for the necessity of other sectors should be based on the necessity of the medical sector.