• 경영정보학연구
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• 제17권2호
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• pp.101-132
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• 2015

국가기술자격은 개인의 직업능력을 향상시키고, 기업과 국가의 경쟁력을 제고시키는 중요한 기능을 가지고 있다. 특히 '자격'은 '학력'과 함께 개인의 능력을 측정하여 객관적으로 보여주는 신호기능을 가지고 있고, "직무수행에 필요한 지식 기술 소양 등의 습득정도가 일정한 기준과 절차에 따라 평가 또는 인정되는 것"이다. 자격을 취득하기 위한 학습은 스마트러닝을 통하여 많이 이루어지고 있다. 최근 인터넷의 발전과 정보통신기술의 혁명으로 인해 정보와 지식을 중요시하는 지식사회로 진입하고 있다. 이러한 시대적 교육제도 변화에 발맞추어 최근 급성장을 거듭하고 있는 스마트러닝은 시간적, 공간적 제약 없이 교수-학습이 이루어지고 있다. 본 연구의 목적은 인간 본연의 심리욕구를 다룬 대표적인 이론인 기본심리욕구 요인과 인간의 동기를 결정지을 수 있는 ARCS 동기이론이 상호작용성과 학습몰입, 즐거움을 통해 스마트러닝의 지속적 사용의도에 영향을 미치는 인과관계를 실증 검증 하고자 한다. 구체적으로 ARCS 동기유발에서의 주의집중, 관련성, 자신감, 만족감을 통해 학습몰입에 어떠한 영향을 주는지 실증적으로 분석하고자 한다. 이를 통해 국가기술자격증 스마트러닝에서 수강생의 내재동기화를 지지함으로써 스마트러닝의 학습자들은 지속적 사용의도가 있다. 따라서 스마트러닝을 통한 국가기술자격증의 취득의 목적을 달성하여 기술의 습득은 물론 산업의 발전과 자격증의 활성화에 기여할 수 있다.

• 디지털산업정보학회논문지
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• 제17권3호
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• pp.63-83
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• 2021

The appearance of education is also rapidly changing in social changes represented by social networks. And the development of information and communication technology is also having a widespread effect on the education field. In the era of untact caused by Covid-19, education through smart learning is having a greater effect on students as well as adult learners more quickly and broadly. In addition, smart learning is not just limited to learning content, but is developing into personalized, convergence, and intelligent. The purpose of this study is to identify the factors of ARCS motivation theory that can determine the learning motivation of smart learning users, and to empirically study the casual relationship between these factors on education achievement through practical value and hedonic value. Specifically, I would like to examine how the independent variables ARCS motivation factors (attention, relevance, confidence, and satisfaction) affect learners' education achievement through the parameters of practical value and hedonic value. To this end, a research model was presented that applied the main variables of attention, relevance, confidence, and satisfaction, which are four elements of ARCS motivation theory, a specific and systematic motivational strategy to induce and maintain learners' motivation. In order to empirically verify the research model of this study, a survey was carried out on learners with experience using smart learning. As a result of the study, first attention was found to have a positive effect on the hedonic value. Second, relevance was found to have a positive effect on the hedonic value. Third, it was found that confidence did not have a positive effect on the practical value and the hedonic value. Forth, satisfaction was found to have a positive effect on the practical value and the hedonic value. Fifth, practical value was found to have a positive effect on the education achievement. Sixth, hedonic value was found to have a positive effect on the education achievement. Through this, it can be seen that the intrinsic motivation of learners using smart learning affects the education achievement of users through intrinsic and extrinsic value. A variety of smart learning that combines advanced IT technologies such as AI and big data can contribute to improving learners' education achievement more effectively and efficiently. Furthermore, it can contribute a lot to social development.