• 제목/요약/키워드: Learning intentions

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The Influence of Self-Directed Learning and Learning Commitment on Learning Persistence Intention in Online Learning: Mediating Effect of Learning Motivation

  • Park, Jung Hee;Lee, Hyunjung
    • International Journal of Advanced Culture Technology
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    • 제9권4호
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    • pp.9-17
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    • 2021
  • This is a descriptive investigative study which attempts to confirm the mediating effect of learning motivation in the relationship between self-directed learning, learning commitment, and learning persistence intention of university students in an online learning environment. The questionnaires were randomly distributed online and the agreed questionnaires were retrieved, with a total of 338 copies used for analysis. The following is the summary of the findings. First, there were significant differences in learning persistence intention according to general characteristics depending on age, major, part-time job, and academic level. Second, the results showed a positive correlation between self-directed learning, learning commitment, learning motivation, and learning persistence intentions of the subjects were statistically significant. Third, after checking the mediating effect of learning motivation in relation to self-directed learning, learning commitment and learning motivation, the learning motivation has a partial mediating effect on learning and 23% explanatory power, and the learning commitment was found to have a complete mediating effect on the impact of learning motivation on learning intentions with 21% explanatory power. Based on these results, it is necessary to provide a more diverse educational environment, such as operating a motivation semester program that can improve learning motivations along with learning commitment, and the use of a variety of contents that can focus the learner's interest or attention.

창업환경이 대학생의 농촌창업 의지에 미치는 영향에 관한 연구 (Research on the influence of entrepreneurial environment in college students' entrepreneurial intention in rural areas)

  • 왕이가;정기영
    • 산업진흥연구
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    • 제9권2호
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    • pp.185-195
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    • 2024
  • 본 연구는 대학의 창업환경에서 대학생의 농촌창업 의도에 영향을 미치는 요인으로써 정책 및 규제, 창업교육, 재정지원, 사회문화 등 4가지 주요 환경변수들을 분석하고, 창업학습의 매개효과를 검증하였다. 저장성의 대학생 530명을 대상으로 한 설문 조사에서 대학 창업 환경이 창업학습과 농촌창업 의도에 긍정적인 영향을 미치는 것으로 나타났다. 이러한 연구결과를 바탕으로 개인적 실천, 대학 리더십 및 정부 지원이 필요하고, 학생의 창업의도를 향상시킬 수 있는 실질적인 정책방안을 제시하였다. 대학은 학생들이 농촌창업 의도를 촉진 할 수 있는 창업학습을 준비하여 창업환경을 최적화하여야 한다.

The Effects of Business Startup Education of Restaurant Founder on Transfer Effect in Learning and Entrepreneurial Intentions

  • Hwang, Gyu-Sam;Jung, Hun-Jung;Kim, Hae-Ryong;Shin, Choung-Seob
    • 동아시아경상학회지
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    • 제5권4호
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    • pp.20-38
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    • 2017
  • Purpose - this study analyzes the impact of restaurant startup education on transfer effects in learning and entrepreneurial intentions based on previous research. Also, problems and ways to provide effective business startup education for a restaurant founder will be proposed based on the result. Research design, data, methodolog - this study collected surveys by conducting direct investigation. From July 20th of 2016 to September 20th of 2016 (approximately 60 days), the survey was collected. Out of 540 surveys, 520 were collected. And excepting 9 surveys which were untrustworthily conducted, total 511 surveys were used for the analysis. Results - First, as a result of the impact of which factor of a restaurant founder's startup education has a positive impact on transfer effect in learning (the satisfaction of startup education and learning transfer), law education, entrepreneurship education and business district analysis education and practical education have turned out be positively related variables. Secondly, as a result of the impact of a restaurant founder's startup education satisfaction on transfer in learning, it has been identified that startup education has a positive impact. Lastly, by conducting an analysis to find out which factor from a restaurant founder's transfer effect in learning has an impact on entrepreneurial intention, all variables, including startup education satisfaction and transfer effect in learning, are positively influencing factors. Conclusions - as startup education satisfaction of a restaurant founder is increasing, there is a higher level of transfer effect in learning. Moreover, as transfer effect of startup business is getting higher, it has an impact on entrepreneurial intention.

기업 모바일러닝에서 자기효능감, 지각된유용성, 상사 및 동료지원, 만족도, 전이동기 간의 구조적 관계 분석 (The Analysis of Structural Relationships Among Self-Efficacy, Perceived Usefulness, Supervisor and Peer Support, Satisfaction, and Transfer Intentions in Corporate Mobile-Learning)

  • 정애경;홍유나;강정진
    • 한국인터넷방송통신학회논문지
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    • 제16권4호
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    • pp.189-196
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    • 2016
  • 본 연구는 기업 모바일러닝에서 자기효능감, 지각된유용성, 상사 및 동료의 지원, 만족도, 전이동기 간의 인과관계를 규명하는 것을 목적으로 하였다. 이를 위해 국내기업 A사에서 실시한 모바일러닝 학습자 302명을 대상으로 온라인 설문조사를 실시하였다. 연구 결과 첫째, 자기효능감, 지각된유용성, 상사 및 동료의 지원이 만족도에 유의한 영향을 미쳤다. 둘째, 상사 및 동료의 지원, 만족도가 전이동기에 유의한 영향을 미쳤다. 셋째, 만족도가 자기효능감과 지각된 유용성 간의 관계를 완전매개 하였고, 상사 및 동료의 지원과 전이동기 간의 관계를 부분매개함을 확인하였다. 위와 같은 연구결과는 기업 모바일러닝에서 전이동기 수준을 높이기 위해 조직 내 상사 및 동료의 적극적인 지원이 가능한 조직환경을 조성할 필요가 있으며, 자기효능감을 높이고 모바일 정보수용기술에 대한 유용성을 높게 지각하도록 전략을 수립하여 학습에 대한 만족도를 향상시켜야 함을 시사한다.

유튜브 활용 학습에 대한 기대일치, 인지적 태도, 정서적 태도가 유튜브 재이용 의향에 미치는 영향 (The Effect of Expected Consistency, Cognitive Attitude, and Emotional Attitude on Reuse Intention to Use YouTube Learning)

  • 차승봉;박혜진
    • 디지털산업정보학회논문지
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    • 제16권2호
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    • pp.83-93
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    • 2020
  • The purpose of this study was to verify the effect on learning using YouTube. The relationship between expectations, cognitive attitudes, emotional attitudes, and reuse intentions was explored. The results are as follows. First, the factors affecting the intention to reuse YouTube were emotional attitude and expectation. cognitive attitude did not show any significant effect. Second, cognitive attitude and expectation agreement were significant variables in emotional attitude. cognitive attitude was identified as a major factor affecting emotional attitude. Third, expectation agreement was found to have a significant influence on cognitive attitude. Therefore, expectancy is an important factor in identifying cognitive attitudes. In particular, the satisfaction of expectations after experiencing a new technology or system, such as YouTube, affects the cognitive attitude. Finally, the main findings of this study were that cognitive attitude was not a variable affecting the intention to reuse YouTube. The reason for this is that YouTube is used as a medium of interest, and it is not used as a medium for searching the main data source for learning. Therefore, in order to activate YouTube learning, it is necessary to convert recognition into YouTube for learning rather than YouTube for play.

원격 로봇보조학습에 대한 초등교사의 기술수용도 분석 (Analysis on Acceptance and Use of Technology for Elementary School Teachers in Telepresence Robot-assisted Learning)

  • 이혜원;한정혜
    • 정보교육학회논문지
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    • 제23권6호
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    • pp.599-606
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    • 2019
  • 원격 로봇보조학습은 신체적·지적·문화적·환경적으로 취약한 학생들에게 교육의 기회를 제공할 수 있으며, 농산어촌 고교학점제의 어학관련 과목의 온라인교육과정을 대체하거나 세계시민교육을 위한 국제교류학습에 활용할 수 있으나, 현재까지 수용모델 연구는 예비교사를 대상으로만 이루어졌으며 사후사용의도 요인은 고려하지 않았다. 따라서 본 논문은 초등교사를 대상으로 원격 로봇보조학습에 대하여 사용의도와 사후 사용의도에 영향을 주는 기초 요인을 알아보았다. 연구 결과, 원격 로봇보조학습에 대하여 초등교사들은 성별에 의해 각 요인이 유의미한 차이가 없었으며, 경력이 많은초등교사들이 FC, PAD, PS, SP에서 더 긍정적으로 유의미한 결과가 나왔다. 또 수용의도에 영향을 주는 요인으로 PU, ATT, PENJ, SI, Ttrust 모두 매우 유의미 있게 나왔다. 이와 같은 원격 로봇보조학습에 대한 초등 교사들의 수용의도를 바탕으로 교육정보 정책 수립을 할 수 있을 것이다.

Subject Independent Classification of Implicit Intention Based on EEG Signals

  • Oh, Sang-Hoon
    • International Journal of Contents
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    • 제12권3호
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    • pp.12-16
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    • 2016
  • Brain computer interfaces (BCI) usually have focused on classifying the explicitly-expressed intentions of humans. In contrast, implicit intentions should be considered to develop more intelligent systems. However, classifying implicit intention is more difficult than explicit intentions, and the difficulty severely increases for subject independent classification. In this paper, we address the subject independent classification of implicit intention based on electroencephalography (EEG) signals. Among many machine learning models, we use the support vector machine (SVM) with radial basis kernel functions to classify the EEG signals. The Fisher scores are evaluated after extracting the gamma, beta, alpha and theta band powers of the EEG signals from thirty electrodes. Since a more discriminant feature has a larger Fisher score value, the band powers of the EEG signals are presented to SVM based on the Fisher score. By training the SVM with 1-out of-9 validation, the best classification accuracy is approximately 65% with gamma and theta components.

관광객 라이프스타일에 따른 농촌체험관광 영향관계 연구 (A Study on the Influential Relations of Rural Experience Tourism according to the Lifestyles of Tourists)

  • 송광인;김정준
    • 농촌계획
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    • 제15권2호
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    • pp.111-120
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    • 2009
  • The purpose of this study was to analyze the lifestyles of tourists visiting rural experience tourist destinations and the influential relations of the attributes to affect rural experience tourism. The research findings show that the lifestyles of tourists had significant impacts on their preference for rural experience programs(0.2502/3.0l2). Second, their lifestyles had also significant impacts on the need for rural experience tourist destinations(5.039/3.363). Third, their preference for rural experience programs had significant influences on their intentions for revisits(0.386/3.l60). Fourth, their preference for rural experience programs had significant influences on their intentions for word of mouth(1.448/8.073). Fifth, their need for rural experience tourist destinations had significant impacts on their intentions for revisits(1.940/5.594). And finally, their need for rural experience tourist destinations had no significant influences on their intentions for word of mouth(-1.0611-1.421). According to the analysis results of the regression coefficient of the measuring model, enjoying leisure(1.130/6.775) and pursuing health(1.110/9.001) were large influential factors in lifestyle; pursuing learning(1.47317.946) was the biggest influential factor in preference for rural experience programs; and a natural environment(1.220/8.990) was the biggest influential factor in the need for rural experience tourist destinations.

Measuring Acceptance Levels of Webcast-Based E-Learning to Improve Remote Learning Quality Using Technology Acceptance Model

  • Satmintareja;Wahyul Amien Syafei;Aton Yulianto
    • Journal of information and communication convergence engineering
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    • 제22권1호
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    • pp.23-32
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    • 2024
  • This study aims to improve the quality of distance learning by developing webcast-based e-learning media and integrating it into an e-learning platform for functional job training purposes at the National Research and Innovation Agency, Indonesia. This study uses a Technology Acceptance Model (TAM) to assess and predict user perceptions of information systems using webcast platforms as an alternative to conventional applications. The research method was an online survey using Google Forms. Data collected from 136 respondents involved in practical job training were analyzed using structural equation modeling to test the technology acceptance model. The results showed that the proposed model effectively explained the variables associated with the adoption of web-based e-learning during the COVID-19 pandemic in Indonesia for participants engaged in functional job training. These findings suggest that users' perceptions of ease of use, usefulness, benefits, attitudes, intentions, and webcast usage significantly contribute to the acceptance and use of a more effective and efficient webcast-based e-learning platform.

대학생 창업교육동기에 대한 사람중심접근법 : 잠재프로파일 유형에 따른 창업의도 및 창업유형 (A latent Profile Analysis of Students' Learning Motivation Profiles on Entrepreneurial Educational Motivation and Entrepreneurial Intentions and Type of Entrepreneurship)

  • 오현성;변지연;김준수
    • 한국콘텐츠학회논문지
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    • 제20권9호
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    • pp.365-379
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    • 2020
  • 본 연구는 Houle(1961)의 교육참여동기 세 가지 유형(학습지향성, 활동지향성, 목표지향성)을 중심으로 창업교육동기 잠재프로파일의 정량적, 질적 유형 및 특징을 분석하고 창업의도와 창업유형의 차이를 살펴보는데 목적이 있다. 이를 위해 대학생 614명을 중심으로 잠재프로파일 분석(Latent Profile Analysis: LPA)을 실시하였으며, 창업교육동기 프로파일 1(표류자), 프로파일 2(정체형), 프로파일 3(소심가), 프로파일 4(추종자), 프로파일 5(선도자)를 도출하였다. 프로파일에 따른 창업의도는 5개 프로파일 중 프로파일 5, 프로파일 4, 프로파일 3의 순으로 높게 나타났다. 또한 프로파일 5와 프로파일 4 그룹의 창업 선호도가 높으며, 프로파일의 창업유형은 개인창업과 공동창업이 유의한 것으로 나타났다. 잠재프로파일 분석방법을 통해 대학생 창업연구에 새로운 방법론적 패러다임을 제시하고, 도출된 5개 프로파일에 따른 창업의도 및 창업유형 분석을 통해 창업교육의 실무적인 시사점을 제시하고자 한다.