• Journal of the Korea Convergence Society
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• v.8 no.7
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• pp.283-293
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• 2017

The objective of this study is to verify if the parent-child communication has a mediating effect in the relationship between the academic stress recognized by teenagers and the mental health. To achieve this, this study conducted a survey of teenagers who were attending high schools located in Daegu Metropolitan City and made a final analysis of 234 teenagers in total. To verify the mediating effect of parent-child communication in the relationship between the academic stress recognized by teenagers and the mental health, Baron & Kenny's mediating effect analysis method was conducted and the analytical findings are shown below. First, it appeared that career stress and test stress, among the subfactors of academic stress recognized by teenagers had an influence on mental health. Second, it appeared that parent-child communication played a mediating role in the influence of academic stress on mental health.

• Journal of the Korea Convergence Society
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• v.10 no.3
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• pp.249-256
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• 2019

The purpose of this study was to inquire into the structural relations between teachers' attitudes, academic engagement, task-solving behavior which are perceived in a physical education class. To this end, this study selected a total of 434 copies of questionnaires as final valid samples using the convenience sampling method targeting middle school students at 5 schools located at a metropolitan area. For data processing, this study confirmed the goodness of fit test of the whole model using SPSS 20.0 and AMOS 20.0, and then did hypothesis testing; the study results are as follows: first, teachers' attitudes was to have influence on academic engagement. Second, academic engagement had positive influence on help-seeking, while self-handicapping had significantly negative influence. Third, teachers' attitudes had positive influence on help-seeking, while self-handicapping had significantly negative influence. Lastly, in the relationship between teachers' attitudes and task-solving behavior, academic engagement was found to play an intermediary role.

• Journal of Digital Convergence
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• v.17 no.6
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• pp.27-33
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• 2019

The purpose of this study was to explore the moderating effect of learning strategy levels on the relationship between academic grit and career development competence perceived by high school students. The sample for this study comprised 573 high school students, and data analysis was conducted mainly using reliability analysis, correlation analysis, K-mean cluster analysis, hierarchical regression analysis. The results of the study showed that the learning strategy levels moderated the relationship between academic grit and career development competence. This study suggest it is necessary to provide grit enhancement programs coupled with learning strategy levels in order to facilitate career development competence. The future studies need to explore the literature review for logical relationship between academic grit and career development competence, the qualitative approach for drawing on the theoretical models among the related variables, and the relational research to explore mediating or moderating effect of the individual backgrounds and related variables on the relationship between academic grit and career development competence.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.353-361
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• 2018

The purpose of this study was to explore the lived experiences of university students who were placed under academic probation. A qualitative research design was used to understand the experiences of students. The data were collected using individual in-depth interviews with 4 students who had experiences of low academic achievements at least once during 5 semesters. Low self esteem was the main issue in this study and inner struggles were identified within 4 themes: Outstanding students controlled by helpers; A costume play as a outstanding student; Realize that I am a under academic achiever; Realize who I am and what I have to do. This study identified that low academic achievement brings to low self esteem seriously, however, human being has strong resilience in the traumatic circumstances. Thus, it is absolutely necessary devoting efforts to develop suitable student supporting programs in the way of inner and outer network systems.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.49-54
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• 2019

University education emphasizes the development of convergent as well as computational thinking, many universities provide software education to improve their problem-solving ability. In this study, we use Python programming based on problem-solving learning, and analyze the correlation between problem-solving learning satisfaction and academic achievement. A questionnaire survey was conducted among 143 students, we tried to analyze the relationship of problem-solving learning with actual academic performance using correlation and multiple regression analysis. The results indicate a relationship between satisfaction and academic achievement, and that it affects students' academic achievement. The ability to identify various problem situations and solve problems using computational thinking will become increasingly important, it is desirable that the universities provide software education based on problem-solving learning.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.170-175
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• 2019

This study aimed to analyse the effects of academic self-efficacy of beauty specialized high school students on learning flow and provide basic data needed for their learning instruction. For the purpose, this study surveyed 327 students of beauty specialized high schools located in B metropolitan city and N city. The responses were analysed with the use of the SPSS WIN 21.0. The results are presented as follows: Academic self-efficacy had a significant effect on learning flow and in particular, self-control efficacy and task difficulty preference were important factors. Based on the results above, it is suggested that teachers should present data that is properly converged by techniques and academic knowledge according to levels and steps so that students can have experiences of academic achievements and be encouraged to have higher self-efficiency.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.12
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• pp.278-290
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• 2020

This study evaluated college students' virtual academic experience due to COVID-19. Based on Colaizzi's analysis method, data from advanced interviews with 15 students were analyzed. The results were as follows. The participants showed a desire for eye-level learning, frustration on unsatisfactory academic factors, gratefulness for the factors that enhance academic satisfaction, lonely fight with the shortcomings of online lectures, and the factors predicted by COVID-19, and aim to seek balance through health care. Based on the results, the students should be prepared to learn at an appropriate academic level. Second, the change should be sought to increase delivery and concentration in class. Third, students are motivated by the professor's efforts to communicate in class and their sincerity and passion. Fourth, cooperation between professors and learners is needed to develop a sympathetic and supportive classroom atmosphere. Fifth, until the cessation of COVID-19, the principle of virtual education should persist unless there are exceptional circumstances. These results, which suggested specific ways to increase satisfaction with virtual learning lectures, can be used as basic data for establishing effective virtual teaching directions.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.23-30
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• 2022

The study was attempted to investigate the factors influencing the academic procrastination of nursing college students. The subjects who participated in this study were 215 nursing students at one college in the Ulsan were surveyed using a structured questionnairs. Independent t-test, one way ANOVA and Pearson's correlation coefficient, Stepwise regression were performed on the collected data using SPSS 25.0 program. Study finding revealed that fear of failure(β=0.65, p<.001), socially prescribed perfectionism(β=0.29, p<.001), about academic procrastination were significant predictive variables(F=26.68, p<.001). This variables accounted for 28.8% of the variance in core nursing competency. The results of this study can be used as basic data for developing a program to lower the academic procrastination level of nursing students.

• 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.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.175-192
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• 2022

Artificial intelligence-based natural language processing technology is playing an important role in helping users write English-language documents. For academic documents in particular, the English proofreading services should reflect the academic characteristics using formal style and technical terms. But the services usually does not because they are based on general English sentences. In addition, since existing studies are mainly for improving the grammatical completeness, there is a limit of fluency improvement. This study proposes an automatic academic English editing methodology to deliver the clear meaning of sentences based on the use of technical terms. The proposed methodology consists of two phases: misspell correction and fluency improvement. In the first phase, appropriate corrective words are provided according to the input typo and contexts. In the second phase, the fluency of the sentence is improved based on the automatic post-editing model of the bidirectional recurrent neural network that can learn from the pair of the original sentence and the edited sentence. Experiments were performed with actual English editing data, and the superiority of the proposed methodology was verified.