• Journal of Digital Convergence
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• v.10 no.5
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• pp.89-103
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• 2012

This paper analyzed the effect of learning motivation and conation(endurance, effort) on the consultant' entrepreneurship(innovativeness, proactiveness, risk- taking) and competencies(ability, knowledge, attitude), and the mediating effect of the entrepreneurship on the consultant's competencies. The result shows that the learning motivation and conation have a positive impact on the partial factors of the consultant's entrepreneurship(innovativeness, proactiveness) and competencies(ability, knowledge), but not impact on the risk- taking and the attitude. Innovativeness and proactiveness have an positive impact on the consultant's competencies, but not the risk-taking. Innovation and proactiveness fully mediated the effect of learning motivation on the ability, and partially mediated on the knowledge. The effect of learning conation on the ability and knowledge was partially mediated by the innovation, not by the proactiveness. This study shows that the management of the learning motivation and conation, the education of entrepreneurship(innovativeness, proactiveness) are very important for the cultivating the consultant' competencies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.258-260
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• 2022

In order to nurture talents who will lead the digital convergence era of the 4th industrial revolution that creates new knowledge and industries, research is being conducted on teaching methods that can improve the understanding of non-majors' SW concept, computational thinking ability, and convergence with majors is becoming Non-majors face difficulties in understanding and understanding the SW development environment, relevance to their major, and ability to converge. We used software education that is relatively easy to access for non-majors, and applied a demonstration-oriented model (DMM) that can be applied to beginners in SW education to understand the components and logical flow of ideas related to applications and majors used in real life. A convergence SW Learning method that combines repetitive implementation through instructor's demonstration and learner's modeling and learning motivational factors was proposed. In the experiment applying the teaching and learning method proposed in this paper, meaningful results were shown in terms of learning motivation and academic achievement in SW education.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.395-402
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• 2024

The purpose of this study is to verify the effect of the intensive support program for junior college students with low academic performance on students' learning motivation and self-learning efficacy, and to explore its meaning. This study was conducted with 46 students who participated in the JUMP-UP program supported by the D University Teaching and Learning Development Center in Busan for backers and students with low grades. The research question of this study is, first, does the JUMP-UP program affect the reinforcement of the learning motivation of junior college students? Second, does the JUMP-UP program affect the self-learning efficacy of junior college students? As a result of examining the effectiveness by conducting a survey before and after participating in the JUMP-UP program, the JUMP-UP program showed statistically significant changes in all items of participating learners' learning motivation and self-learning efficacy. Through this, it can be seen that an intensive support program such as the JUMP-UP program is valuable as a support program suitable for improving the learning motivation and self-learning efficacy of vocational college students suffering from low academic performance.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.291-300
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• 2023

The purpose of this study is to analyze the effect of teachers' motivation for choosing teaching on the relationship with career adaptability through self-directed learning in 271 pre-service early childhood teachers. As a result of the study, first, career adaptability, self-directed learning, and motivation for choosing teaching were high in order. Second, there was a positive correlation that the higher the motivation for choosing a teaching profession, the higher the self-directed learning and career adaptation, and the higher the self-directed learning, the higher the career adaptation. Third, it was found that self-directed learning of pre-service early childhood teachers partially mediated teachers' motivation for choosing teaching and career adaptability. This study is significant in that it sought various perspectives in practicing high-quality early childhood teacher education program and provided basic data on teacher education program.

• Journal of Digital Convergence
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• v.15 no.4
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• pp.351-363
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• 2017

It is organized to evaluate the effect of nursing students' learning attitude, learning motivation, problem solving ability, and class participation, after applying team-based learning to basic nursing classes. The subjects were 103 people in the second year of the G region. The data collection was from September 1 to December 5, 2016 by using t-test, one-way ANOVA, paired t-test and Pearson's correlation coefficient. Result is that the ability to solve problems increased, showing a statistically significant difference. Learning attitude and motivation of learning increased and the degree of participation didn't change, but there were no statistically significant differences. The learning attitude shows positive correlation with learning motivation, problem-solving skills and participation. After team based-learning, learning attitude showed a positive correlation with learning motivation, problem solving ability and class participation. Learning motivation shows positive correlation with class participation and so does problem solving ability with participation. Based on the results of this study, in order to improve the practical ability, it is necessary to activate the self-directed active learning method such as team base for nursing major study.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.38-46
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• 2022

This study examined the relationship of academic achievement, learning motivation and self-directed learning ability and cognitive presence of nursing students in online class. Data were collected through self reported structured questionnaire in 202 nursing students from October 19 to 30, 2020. Data were analyzed using SPSS/WIN 21.0. As a result this study, academic achievement was positively correlated with learning motivation(r=.45, p<.001), self-directed learning ability(r=.50, p<.001) and cognitive presence(r=.64, p<.001). As a result regression analysis, subjective academic grades, self-directed learning ability and cognitive presence explained 57.0% of the academic achievement in nursing students(F=91.00, p<.001). Therefore, it is necessary to develop various interventions to enhance the self-directed learning ability and to design the classes that increase the cognitive presence.

• Journal of Digital Convergence
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• v.6 no.1
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• pp.83-91
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• 2008

The objective of this research is to assess various factors affecting E-learning in Korean language education. In this research, we hypothesize that several factors such as absorption, motivation and tutors increase the educational effects of E-learning and ultimately affect learning attitude and satisfaction of students in E-learning. To discuss the hypothesis, we analyzed survey data of 300 students who were taking E-learning class of Korean language for three weeks in October 2007 based on Structural Equation Model. The result of our analysis shows that the factors such as absorption, motivation, tutors have positive effects on E-learning in Korean language education and positive influence on learning attitude and satisfaction on students as well.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.113-119
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• 2018

The problem of poor learning has been a subject that has been constantly raised in the educational field since the mid 20th century. Therefore, this study classified the components of self - regulated learning into cognitive - control, motive - control, and behavior - control strategies, and examined the effects of self - regulated learning on internal value, self - efficacy, curiosity, and self - confidence. The study was conducted on university students who participated in the program for the study of depression in A university in Changwon city. The results showed that self - regulated learning factors had a positive effect on learning motivation. Second, the learning adjustment factors have a positive effect on self - efficacy. Finally, learning control factors have a positive effect on curiosity and self - confidence. Through this study, we confirmed that a comprehensive guidance system considering interaction is needed because various factors act integrally in the learning process. As a concrete method, it is imperative to develop a learning counseling program that can enhance the motivation level by referring to cognitive, synchronous, and behavioral factors.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.609-611
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• 2018

Recently, in each university, the fourth industry era has begun, and a lot of programming lectures have been added to liberal arts classes in order to nurture the convergence talents needed in society. However, learners often encounter difficulties or negative responses to programming. In this study, we analyzed gender of learners in order to analyze learning motivation in programming learning. Through the pre - test, male and female students were separated and their learning motives were analyzed by each personality type. As a result of this study, we confirmed that female students can have a positive attitude toward programming learning. Also, the deviation was smaller. Future research is expected to contribute to learning motivation through lecture learning in post test.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.3
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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.