• Journal of Korean Academy of Fundamentals of Nursing
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• v.13 no.2
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• pp.182-189
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• 2006

Purpose: This research was done to identify how PBL education using a simulator affects nursing students' critical thinking, self-efficacy, and meta-cognition by applying and developing a PBL module using the Simman simulator. Method: With a one group pre-post test design, the research was conducted with a convenience sampling on 66 students in C College on Jeju Island for 8 weeks from August to October, 2005. The collected data on critical thinking, self-efficacy, and meta-cognition were analyzed using T-test. SPSS 10.0 was used to assist analysis. For study-related variables, means and standard deviations were used. Results: The finding of the research showed that most of the students were in favor of use of PBL-in the curriculum with more than 50% of the scores indicating satisfaction with content of the teaching, the teaching method, and self-confidence in nursing. The results also showed that there was an increase in interest among the students regarding campus practical education. Conclusion: As the application of the PBL module using the Simman simulator elicited more interest and satisfaction from the students, it is worth using this simulator as a the teaching method to improve the practical education in nursing.

• Educational Technology International
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• v.22 no.2
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• pp.139-167
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• 2021

After experiencing school closures and online learning caused by COVID-19, the important role of school education was reinforced. Elementary school is the foundation of life and allows students to develop both social and academic skills. The purpose of this study was to examine the mediational role of Self-Regulatory Skills (SRS) on the relationship between Maternal Parenting Attitude (MPA) and School Adjustment (SA) of elementary school students. A total of 99 students enrolled in an international school in Seoul, Korea from grades 3 to 6 participated in this study. Data were analyzed through Independent Sample T-Test, one way ANOVA, Multiple Regression Analysis, and Hierarchical Regression Analysis using the SPSS 23.0. The findings of the study were as follows. First, there is a difference between genders and among grades. Second, only acceptance was significantly related to school adjustment. Third, acceptance, strict control, and accepted control are significantly related to SRS. Fourth, Self-Regulatory Skills (Sustained Attention) fully mediate the relationship between Maternal Parenting Attitude (Acceptance) and School Adjustment (Academic Attitude/ Rule compliance). Educational implications for understanding the role of parenting attitude and future directions are discussed.

• The Korean Journal of Emergency Medical Services
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• v.27 no.3
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• pp.101-111
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• 2023

Purpose: This study attempted to identify how academic self-efficacy, grit, and learned helplessness influence Academic delay behavior in college students and provide a foundation for reducing Academic delay behavior in college students. Methods: Data was collected from October 12, 2023 to October 30, 2023 using a structured questionnaire from 170 college students at a university in City D. The data was collected using a structured questionnaire. Results: Academic delay behaviors were significantly negatively correlated with academic self-efficacy (r=-.371, p<.001) and grit (r=-.562, p=.012), and significantly positively correlated with learned helplessness (r=.341, p<.001). Conclusion: Finally, In order to reduce academic delay behaviors among college students, it is necessary to actively utilize educational environments that promote academic achievement and grit, academic-related counseling programs, and learning environments that do not suffer from academic helplessness.

• Journal of the Korean earth science society
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• v.31 no.4
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• pp.392-402
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• 2010

The purpose of this study is to analyze and evaluate the self-directed learning contents of Earth science area in the basic course of the 7th grade. For this purpose, we applied the 'Cyber Home Study Content Quality Control Tool' presented in 'Elementary Secondary Education e-Learning Quality Management Guidelines (Ver.2.0)' of Korea Education & Research Information Service (2008). The results of contents analysis are as follow: First, it was presented that the study guide introduced the contents which should be studied for one class, properly. And it was not analyzed that the diagnosis assesment was not completed in the initiative study; Second, it was possible to study choosing the contents fitting the learner's level of learning in the main study, it was comprised of about 15 minutes. Third, it was performed without feedback for incorrect answers in the learning assessment, just the number of wrong questions. And the learning arrangement present the important contents learned in that class, summarizing and arranging again. The results of content evaluation are as follows: First, a big difference was not showed against the needs analysis, instructional design, interaction in each class. And the evaluation of the ethics was not included a word or sentence not suitable. The evaluation of copyright, it was analyzed that Work within the content display in compliance with international copyright Second, the evaluation of instructional design presented mainly the description of a simple picture based, the visible resources like flash card were poor. And in the evaluation of Supporting System, it was presented that the contents were installed so that it was freely available for learners. But it was analyzed that there was no memo-function learners were able to jot down something during the studying contents. And in the evaluation for evaluation, the clear valuation basis about the described content was not presented. So there were slightly differences for each class. Third, in the evaluation and analysis for learning content, it was presented that there were some big differences for each class because it was not composed of the latest information, not corrected and complementary.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.367-372
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• 2024

It was intended to explore the relationship between motivation for participation in hair education, program satisfaction, and lifelong learning happiness index for adult learners at the Lifelong Education Center, and to provide basic data for revitalizing lifelong education programs. Today, universities have conditions as a comprehensive educational institution with practicality that can meet various and high-quality lifelong educational needs. The university-affiliated Lifelong Education Center plays a role in ensuring the right to learn for all citizens as well as fulfilling the social service function and greatly expanding educational opportunities, which is one of the essential functions of universities, by making good use of the excellent transfer material resources of universities. Adults should now seek professional self-identity through retraining, and respond flexibly to various social situations such as increasing roles, expanding responsibility, and uncertainty in the job and employment structure toward professional socialization in the professional world The subject of the study was to collect data by distributing 90 questionnaires to adult learner hair education subjects in G area, and 85 copies were finally used for SPSS 26.0 for Windows analysis, excluding questionnaires with insufficient responses. The survey period was from November 1 to December 27, 2023. First, it was found that adult learners' motivation to participate in hair education has an effect on the lifelong learning happiness index. Second, it was found that adult learners' satisfaction with the program of hair care workers has an effect on the lifelong learning happiness index. Through this study, it is judged that it is necessary to understand what can maximize the high lifelong learning happiness index, and to meet the learning needs of modern people living in the age of 100, increase their potential, help them design a second life, contribute to self-realization and society, and help them have steady, self-directed lifelong learning opportunities.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.81-91
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• 2020

The purpose of this study is to analyze the effect of group co-learning on English reading ability and motivation and the change in group co-learning perception after planning and applying a group co-study class program that can be applied in university liberal arts English class. In order to achieve this goal, the experiment team (34 students) conducted the class from September 2 to December 13, 2019 for 62 freshmen who participated in the compulsory liberal arts English class at the four-year university in North Chungcheong Province, and the control team (28 students) conducted the class as a typical lecture class based on the basis of cooperative learning. The English proficiency of the learners was approached by dividing the area of academic proficiency into English reading skills and the area of justice into English reading motivations. The pre-experimental learners' English reading skills were measured by excerpting the national level educational achievement assessment (high 2). The research results are as follows. First, it was shown that the English reading ability score of a group that applied group cooperative learning and the English reading ability score of a group that did not apply group cooperative learning were statistically significant differences. Second, there was a difference between the English reading motivation score of the group applying the convocation group cooperative learning and the English reading motivation score of the group not applied. Third, the change in the perception of groups applying the convocation group cooperative learning occurred before and after the experiment. This study found that the awareness of English reading, English reading motivation, and cooperative learning increased through cooperative learning among university students during liberal arts English classes, which has a positive effect on self-identity and so on.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.346-357
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• 2019

The purpose of this study was to examine the effects of flipped learning and explore the learners' experiences. Data were collected from 64 students who participated in flipped learning for 7 weeks at N university. The results were as follows. First, after applying flipped learning, learners feel more comfortable learning together and prefer collaborative learning. Second, flipped learning had no significant effects on learner's overall metacognition, but it had positive effects on the awareness and cognitive strategies. Third, flipped learning had no significant effects on academic self-efficacy, but it positively affected the task difficulty preference and confidence of learners who had a lower level of collaborative tendencies. Fourth, flipped learning had no significant effects on SDL ability, but it positively affected the learning plan of learners who had a higher level of collaborative tendencies. Fifth, learners' class satisfaction of flipped learning was generally very high. We suggested a policy, instructional design and strategies for effective implementation of flipped learning.

• Journal of Intelligence and Information Systems
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• v.29 no.2
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• pp.285-301
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• 2023

Due to the increasing demand and importance of non-face-to-face education, open online learning platforms are getting interests both domestically and internationally. These platforms exhibit different characteristics from online courses by universities and other educational institutions. In particular, students engaged in these platforms can receive more learner autonomy, and the development of tools to assist learning is required. From the past, researchers have attempted to utilize process mining to understand realistic study behaviors and derive learning patterns. However, it has a deficiency to employ it to the open online learning platforms. Moreover, existing research has primarily focused on the process model perspective, including process model discovery, but lacks a method for the process pattern and instance perspectives. In this study, we propose a method to identify learning patterns within an open online learning platform using process mining techniques. To achieve this, we suggest three different viewpoints, e.g., model-level, variant-level, and instance-level, to comprehend the learning patterns, and various techniques are employed, such as process discovery, conformance checking, autoencoder-based clustering, and predictive approaches. To validate this method, we collected a learning log of machine learning-related courses on a domestic open education platform. The results unveiled a spaghetti-like process model that can be differentiated into a standard learning pattern and three abnormal patterns. Furthermore, as a result of deriving a pattern classification model, our model achieved a high accuracy of 0.86 when predicting the pattern of instances based on the initial 30% of the entire flow. This study contributes to systematically analyze learners' patterns using process mining.

• The Mathematical Education
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• v.61 no.2
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• pp.257-271
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• 2022

As information and communication technologies are being developed so rapidly, education research is actively conducted to provide optimal learning for each student using big data and artificial intelligence technology. In this study, using the mathematics learning data of elementary school 5th to 6th graders conducting blended mathematics classes, we tried to find out what factors predict mathematics academic achievement and developed an artificial intelligence model that predicts mathematics academic performance using the results. Math learning propensity, LMS data, and evaluation results of 205 elementary school students had analyzed with a random forest model. Confidence, anxiety, interest, self-management, and confidence in math learning strategy were included as mathematics learning disposition. The progress rate, number of learning times, and learning time of the e-learning site were collected as LMS data. For evaluation data, results of diagnostic test and unit test were used. As a result of the analysis it was found that the mathematics learning strategy was the most important factor in predicting low-achieving students among mathematics learning propensities. The LMS training data had a negligible effect on the prediction. This study suggests that an AI model can predict low-achieving students with learning data generated in a blended math class. In addition, it is expected that the results of the analysis will provide specific information for teachers to evaluate and give feedback to students.

• Korean Journal of Childcare and Education
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• v.8 no.2
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• pp.101-120
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• 2012

The purpose of this study was to investigate relationships between teachers' sense of self-efficacy and their job satisfaction to improve the quality of child care centers. It is crucial for teachers to have self-efficacy to reveal their potential for change and have opportunities to work better. In addition to teachers' self-efficacy, teachers' job satisfaction should be added to offer better child care service for parents as well as children. In this study, teachers' personalities and self-efficacy were compared between public and private child care centers to have further discussion making a progress of their job satisfaction. The results of this study are as follows : (a)The location of child care centers have meaningful effects on teachers' job satisfaction both in public and private child care centers equally. (b)Teachers in public child care centers have stronger influences on self-efficacy in home-related education and positive learning environment than teachers in private child care centers. (c)Teachers' participation in decision making is a significant factor that has affects on teachers' job satisfaction both in public and private child care centers.