• Journal of Technologic Dentistry
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• v.44 no.3
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• pp.97-103
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• 2022

Purpose: This study sought to identify the factors influencing learning motivation and demotivation in online dental technology students. Methods: A survey was conducted from October 1 to 30, 2021, on 188 dental technology students. The collected data were processed using the IBM SPSS IBM SPSS Statistics ver. 22.0 statistical program (IBM), and frequency, factor, and one-way ANOVA analyses were performed, for which the significance was set at 0.05. Results: It was found that the main online learning motivation factors were the usefulness of the learning content, interest, and confidence in the activities, the relationships with the teachers and friends, the feedback, and learning satisfaction. The factors that reduced the students' online learning motivation were interaction difficulties, maladaptation to the self-directed learning environment, the inadequate number of learning activities, and activity difficulty. Conclusion: Based on the identified online class motivation and demotivation factors, better systematic management and increased research are needed to improve the quality of non-face-to-face classes.

• The Journal of Korean Academic Society of Nursing Education
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• v.30 no.2
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• pp.113-123
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• 2024

Purpose: This study aimed to examine the mediating effect of learning immersion in clinical simulations on the relationship between nursing student learning motivation and achievement in clinical simulation. Methods: This study was conducted using a cross-sectional survey with 184 nursing students from two universities who participated in clinical simulation between September and December 2022. The participants completed a self-administered questionnaire, and the collected data were analyzed using independent an independent t-test, Mann-Whitney U-test, one-way ANOVA, Pearson's correlation coefficient, and multiple regression analysis to identify the mediating effects of learning immersion on the relationship between nursing student learning motivation and achievement. Results: Among the subvariables of nursing student learning motivation, task value and self-efficacy for learning and performance had a significant effect on learning immersion (respectively, β=.36, p=.001; β=.31, p<.001) and learning achievement (respectively, β=.48, p<.001; β=.38, p<.001). With the input of learning motivation variables, the direct effect of learning immersion on learning achievement was significant (β=.20, p=.003), and the effects of learning motivation and task value and self-efficacy on learning achievement was reduced after controlling for learning immersion, which is a mediating variable (respectively, β=.41, p<.001; β=.32, p<.001). The bootstrapping test to confirm the mediating effect of learning immersion was also significant (task value 95% confidence interval [95% CI], 0.02~0.20; self-efficacy 95% CI, 0.01~0.12). Conclusion: The results of this study suggest that simulation educators should consider learners' motivation and immersion when organizing and operating clinical simulations.

• Journal of Fisheries and Marine Sciences Education
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• v.26 no.6
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• pp.1425-1434
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• 2014

The purpose of this study was tried to identify the effect of nursing students' learning motivation in microbiology through microbiology laboratory practice based on the Keller's ARCS model. In order to achieve this research, this study was designed a quasi-experimental pre-post tests control group. Experimental group received a microbiology theory and practice based on ARCS model and control group received microbiology theory only. To identify the microbiology learning motivation effect to nursing student, we measured learning motivation by Keller's ARCS model that consisted of attention, relevance, confidence, and satisfaction. The major results of the experimental group showed significantly higher level of total learning motivation and all four subcategories compared to control group. Based upon the above results, microbiology laboratory practice might be beneficial for the nursing students to motivate microbiology learning.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.435-443
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• 2022

The purpose of this study was to analyze the relationship between learning motivation, learning strategies and Korean proficiency. Therefore, this study conducted a learning motivation and learning strategies survey on 101 learners of Korean language from Korean and Chinese universities who obtained a middle and high-level on the Test of Proficiency in Korean. A frequency analysis and correlation analysis was conducted on these students using the SPSS 28.0 program. As a result of the study, it was found that the motivation for learning Korean in Chinese learners was high in the order of integrated motivation and instrumental motivation. The frequency of using metacognitive strategies was the highest. There was no difference in learning motivation corresponding to Korean language proficiency, but there was a correlation in the use of social strategies for learners in levels 3, 4 and 5. Based on these research results, I proposed a teaching and learning method for Chinese learners. Further research should be conducted by comparing the learning motives and learning strategies of learners in the beginner-level group and learners in the middle and high-level group.

• The Journal of Korean Association of Computer Education
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• v.13 no.5
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• pp.15-27
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• 2010

Project-based learning is an effective teaching method for improvement of academic achievement and problem-solving ability so that is often applied to programming education. However, a strategy of enhancing motivation is required by a course design considering a learning style of students for advantage of PBL to take effect. Yet, studies on considerations with learning style still lack, when designing project-based programming learning courses for improvement of learning motivation. This research aims to address issues for consideration in designing PBL programming course. Accordingly, we analyzed learning motivation's difference between learning style in PBL programming class. We designed PBL programming course focusing ARCS model, where students making simulation The Kolb Learning Style Inventory is used to determine learning preferences. To assess students' motivation, Keller's Course Interest Survey was used in a pre-post-test-design. The result indicates that pre-post students' motivation differed. Also, we found considerations through comparing difference of ARCS model's detailed elements between learning styles.

• Journal of Engineering Education Research
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• v.16 no.2
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• pp.11-23
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• 2013

The main purpose of this study was to examine the mediating effect of participation motivation of continuing professional development between the level of organizational learning transfer climate and learning transfer. In the analysis of the relationship among the level of the organizational learning transfer climate, learning transfer and participation motivation of CPD, organizational learning transfer climate had indirect influence on learning transfer through participation motivation of CPD. Based upon the findings of this study, several suggestions were made to improve professional engineers' participation and learning transfer in CPD and implement future research on professional engineer's CPD.

• Journal of Gifted/Talented Education
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• v.21 no.4
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• pp.961-977
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• 2011

The purpose of this study was to investigate the relationship between learning motivation and task commitment and find sub factors of learning motivation that affect task commitment. For this study 30 science gifted student (4th and 5th grade in elementary school) participated. The survey instruments used for this study were Academic Motivation Scale and Task Commitment Scale. The statistical methods employed for data analysis were the correlation analysis and multiple regression analysis. The result of this study were as follows: First, the learning motivation and task commitment of science gifted students showed similar levels. But there was differences of strength each sub factors of learning motivation and task commitment. Second, there was a significant positive correlation between learning motivation and task commitment. Also, learning motivation has the explanatory power of predictive variable for the task commitment approximately 49.3%. Expecially learning motivation has significant positive correlation with responsibility and self-control that sub factors of task commitment. Among the sub factor of learning motivation, confidence has most correlations with sub factors of task commitment and significant impact on task commitment. This result indicate that we need to develop learning motivation to improve task commitment and especially develop learning motivation program to grow up confidence of science-gifted.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1396-1403
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• 2014

This study aimed to investigate the effectiveness of Hope program, which were consisted in specific knowledge base, motivation, creativity to contribute development of creativity, problem-solving, learning motivation and learning behavior of college students. A total of 49 subjects were selected and took lessons of 14 hours from August 26 to September 13 over three weeks. Those were used for pre and post test to creativity test, problem-solving test, learning motivation test and learning behavior test(Lee, 2009). Because two groups didn't have homogeneity, ANCOVA test were used to verify the difference. The results of ANCOVA on the total scores of creativity, problem-solving, learning motivation and learning behaviors showed that there are statistically significant mean differences between the experiment group and the control group(p<.05).

• Korean Journal of Child Studies
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• v.32 no.4
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• pp.83-97
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• 2011

The purpose of this study was to examine the relationship between socioeconomic status, maternal involvement in learning, parenting behavior and children's self-determination motivation. The participants of this study consisted of 333 fifth- and sixth-grade elementary school children and their mothers living in Seoul. The results of this study indicated that mothers with a higher educational attainment reported greater autonomy support behavior and involvement in their offspring's learning. Conversely, mothers with low incomes were found to use psychological control and were also found to be involved in learning to a lesser degree. Hierarchical multiple regression analysis indicated that children whose mothers were less involved in learning showed higher levels of self-determination motivation. Additionally, maternal support for autonomy and psychological control had a number of moderating effects on the association between maternal involvement in learning and the child's self-determination motivation. Specifically, children tended to exhibit significantly lower levels of self-determination motivation when mothers were more involved in learning among those who received less support in terms of autonomy. Conversely, children had significantly higher levels of self-determination motivation when mothers were less involved in learning when it came to those children who were under less psychological control.

• Journal of Distribution Science
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• v.21 no.4
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• pp.57-67
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• 2023

Purpose: This study aims to measuring the employee performance distributions of company in using relationship analysis between motivation, organization learning, compensation, and Organizational commitment. Research design and methodology: The study was conducted on 102 employees as a sample. Data were analyzed using Path Analysis in Structural Equation Modeling (SEM) with PLS. Results: the research result has shown that motivation and compensation have a positive significant effect on organizational commitment. While organizational learning has negative and insignificant effect on organizational commitment. Furthermore, motivation, organizational learning and motivation have no significant effect on employee performance distribution and organizational commitment has a positive significant effect on employee performance distribution. Results for mediating effect has obtained where organizational commitment mediates the effect of motivation and compensation on employee performance distribution, but cannot mediate the effect of organizational learning on employee performance distribution. Conclusion: Organizational commitment in this study can make employees feel comfortable and attached to the company so that employees can perform well to achieve company goals. Motivation and compensation are driving factors in improving employee performance distribution and will achieved if employees have good organizational commitment. In this study, organizational learning is not an important factor in improving employee performance distribution.