• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.173-178
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• 2020

In the near future, as artificial intelligence and computing network technology develop, collaboration with artificial intelligence (AI) will become important. In an AI society, the ability to communicate and collaborate among people is an important element of talent. To do this, it is necessary to understand how artificial intelligence based on computer science works. An algorithmic education focused on problem solving and learning is efficient for computer science education. In this study, the results of an assessment of computational thinking at the beginning of the semester, a satisfaction survey at the end of the semester, and academic performance were compared and analyzed for 28 students who received algorithmic education focused on problem-solving learning. As a result of diagnosing students' computational thinking and problem-solving learning, teaching methods, lecture satisfaction, and other environmental factors, a correlation was found, and regression analysis confirmed that problem-solving learning had an effect on improving lecture satisfaction and computational thinking ability. For algorithmic education, if you pursue a problem-solving learning technique and a way to improve students' satisfaction, it will help students improve their problem-solving skills.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.3127-3137
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• 2018

The study has been focused on identifying the impact of professors' types of leadership on major satisfaction, learning immersion in college students. To achieve this goal, the results of a survey of 543 affiliated students from september 2017 to november were as follows. Data processing has been done using the IBM SPSS statistics 25 program, and t-test and multi-return analysis were performed to determine the characteristics of the survey subjects, to verify the validity and reliability of the survey tools, and to identify differences and influence between factors. First, there was a difference between gender and grade, but by major, there was no difference. Second, learning immersion varies by major, gender and grade. Third, the factors that significantly influence a type of leadership's satisfaction with a major were shown to have a significant impact on vision and sense of duty, individual consideration, situational reward but were not significant in exceptional control by exception. Fourth, the impact of the types of leadership on learning immersion showed that vision and sense of duty, and situational reward, but individual consideration and exceptional control by exception were not significant.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.34-41
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• 2021

The purpose of this study is to explore any effects of primary English language learners' affective factors and satisfaction through AI-based speaking activity. In order to answer these questions, a total number of 46 ELLs from a public elementary school participated in this research. Survey questionnaire on affective factors and learning satisfaction were distributed and the results were analyzed quantitatively. The findings are as follows. First, participants could expand their knowledge on AI-based activity towards its educational advantages and capability. Second, overall affective factors of the participants on AI-based activity changed positively, with the improvement of the mean score. The paired samples t-test showed that there was a significant difference among interest, value and attitude. Third, the satisfaction degree on AI-based learning escalated, particularly in the sense of efficacy, academic achievement and involvement. Lastly, it was revealed that the satisfaction degree was correlated with learners' self-confidence, interest and attitude.

• Journal of Korean society of Dental Hygiene
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• v.14 no.3
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• pp.407-415
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• 2014

Objectives : The purpose of this study is to investigate the influencing factors on attitude, satisfaction and stress in clinical practice in dental hygiene students. Methods : The subjects were 304 dental hygiene students living in Suwon. The data were collected from 2012 to 2013 by a self-reported questionnaire. The data were analyzed using SPSS. Results : Clinical practice showed good results in attitude, satisfaction and stress than that in the classroom. Satisfaction in the classroom practice was proportional to clinical practice. The contents, learning management system, and the assessment tool in the classroom influenced on the dental clinical practice. As the dental clinic practice became stressful, the students tended to have negative feelings for the practice. Conclusions : In order to provide the best clinical practice contents to the dental hygiene students, it is important to prepare the best combination of the contents, learning management system, and the assessment tool in the classroom.

• Korean Journal of Human Ecology
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• v.18 no.3
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• pp.689-703
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• 2009

The purpose of this study is to investigate the relationships among 'leisure constraints', 'leisure sufficiency' and 'life satisfaction' perceived by late middle-aged adults. The subjects of this research were 275 adults from 50 to 64. The results are as follows: 1) Among 5 categories of 'leisure constraints', the subjects perceive' financial constraints' as the most important, and in order of importance, 'social constraints', 'physical constraints', and 'familial constraints' followed. 2) Among five 'leisure activities', a factor perceived most sufficiently by middle-aged adults is 'simple relaxation' and followed by 'social activities', 'activities with family'. 'learning activities', and 'play-recreation activities'. 3) The factors influencing life satisfaction perceived by late-middle aged adults are 'religion', 'financial constraints', 'education', 'familial constraints', 'physical constraints', 'learning activities', and 'play-recreation activities'. These 7 factors explain 38.9% of total variation. Also, the 'leisure constraints' has a greater impact on their 'life satisfaction' than on their 'leisure sufficiency'.

• Journal of Fashion Business
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• v.24 no.6
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• pp.135-147
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• 2020

This study explored students' online fashion studio class experiences, and investigated the factors affecting their class satisfaction. An online survey of college students who were enrolled in online studio classes within apparel and fashion-related departments during the spring of 2020 was conducted in June 2020. Responses from a total of 213 participants were included in the final data. Respondents rated lecture clips as the most useful, followed by teacher demonstration and feedback, PowerPoint (PPT) supplements, and Q&As. Frequently mentioned areas of improvement were online platform stability and video quality. Many respondents also stated that more streamlined teacher-student communication channels, immediate and meticulous teacher feedback, the adoption of course contents developed specifically for an online environment, and provisions for equipment usage would be desirable. Student satisfaction of an online fashion design studio class was significantly affected by teaching presence, social presence, online learning system stability, perceived usefulness of teacher's demonstration, and affective response toward COVID-19. Students satisfaction of an online garment construction studio class was significantly affected by teaching and social presence, online learning system stability, and perceived usefulness of teacher's demonstration. Based on these findings, we recommend developing teaching contents and methods that allow students to feel included in class and establish an online system with various functions to enhance the sense of social connection that can enable two-way communication.

• Journal of the Korea Society of Computer and Information
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• v.29 no.9
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• pp.299-306
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• 2024

The purpose of this study is to identify factors influencing satisfaction with the use of generative AI among college students who have experience using generative AI to learn or perform tasks. For this purpose, multiple regression analysis was conducted using the response data from 168 college students. The results of the study were as follows. First, arts majors were less satisfied with using generative AI than engineering majors. Second, 'Improved Learning', 'Problem Solving', and 'Increase Creativity' were found to affect satisfaction with generative AI. However, 'Active Learning' and 'Performing Tasks' were found to have no effect on satisfaction with using generative AI. Based on these results, we discussed ways to effectively use generative AI.

• The Journal of the Korea Contents Association
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• v.15 no.9
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• pp.621-630
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• 2015

The purpose of study is to comprehend learning satisfaction and academic achievement about the mobile program of nursing English learning constructed as a solution of supporting smart education in J college. The study was conducted from March to December in 2014. The subjects of study are 342 freshmen (39 males, 303 females) of nursing department. Learning satisfaction was analyzed through questionnaires, and academic achievement was investigated through test produced by 3 professors who majored in nursing. Resources analysis was implemented by SPSS 21.0. The study leads to 3 results from the macroscopic perspective. First, there is a difference of satisfaction with whole program between all factors such as mainly used devices, available times, available days, average hours of use per day, available places. Also, items under program satisfaction (subject or content, availability, academic ability) has a difference. Lastly, change of achievement scores by each time was significant.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.342-353
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• 2022

This study aims to help revitalize the real-time online education platform market by analyzing the instructor characteristics, content characteristics, and platform characteristics of real-time online education platforms for local learners in China. A total of 670 questionnaires were collected through an online survey and an empirical analysis was conducted. As a result of the analysis, first, except for attractiveness, which is the characteristic of the instructor, professionalism and sincerity had a significant positive influence on both learning satisfaction. Second, the usefulness, abundance, and appropriateness of content characteristics had a significant positive influence on learning satisfaction. Third, except for interaction, which is a platform characteristic, technology and convenience confirmed a significant positive influence relationship on both learning satisfaction. Fourth, learning satisfaction had a significant positive effect on the intention to continue using. This study presented practical implications for real-time online education platform and future research directions.

• Journal of Digital Convergence
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• v.20 no.4
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• pp.83-92
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• 2022

With the digital transformation of the entire industry, software competency has become the core competency for the future talent. However, it is difficult to find researches related to the corporate education for improving employee's software capability. Therefore, this study tried to verify the relationship between factors affecting the learning performance of employees in online software education. For this purpose, a survey of 223 employees with online software education experience was analyzed using the SPSS PROCESS macro. As a result of analysis, perceived usefulness and self-regulated learning have been found to have a significant multiple mediating effect on learning performance by digital literacy and satisfaction. This suggests that not only learner factors but also the characteristics of education should be considered. The results of this study are expected to be helpful in designing effective online education programs.