• Journal of Korean society of Dental Hygiene
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• v.10 no.5
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• pp.797-805
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• 2010

Objectives : This study was application problem-based learning(PBL) of performance oral health manage in dental hygiene education. and evaluate on learning effect - learning attitude, student assessment(good or bed). Methods : For this study, we sampled 31 dental hygiene students composed of PBL group, Dept of Dental Hygiene, A college. The period of this study was 1 semester(from september, 2008 to December, 2008). To identify the effect of PBL on learning attitudes, student assessment, we used a t-test and compared pre & post effects of PBL using a paired t-test and General Linear Model(GLM), McNemar test. Results : The results of this study that problem based learning(PBL) for dental hygiene students education was more effective in learning process and effect of PBL rather than direct instruction. students assessment results that problem based learning improves their medicine knowledge and communication. Conclusions : This study suggest that PBL contribute to enhancing learning attitudes, learning effect and solve the real problems through self-directed learning.

• Child Health Nursing Research
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• v.23 no.2
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• pp.199-206
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• 2017

Purpose: The purpose of this study was to explore perception of the clinical learning environment, resilience and perfectionism in relation to practice burnout and to identify factors influencing practice burnout in student nurses. Methods: A descriptive correlational study was conducted. The participants were 313 student nurses from three universities in B and U city. Data were analyzed using t-test, ANOVA, Pearson correlation coefficient, $Scheff{\acute{e}}s$ test and multiple regression analysis. Results: Mean score for practice burnout in student nurses was 2.92 out of 5 points. Practice burnout explained 44.7% of the variance in perfectionism (${\beta}=.245$, p<.001), satisfaction with college life (${\beta}=.232$, p<.001), resilience (${\beta}=-.228$, p<.001), clinical learning environment (${\beta}=-.193$, p<.001), satisfaction with major (${\beta}=.180$, p=.001), practical relationships with peers (${\beta}=.128$, p=.005), and satisfaction with clinical practice (${\beta}=.124$, p=.039). Conclusion: Research results suggest that the important variable for student nurses' practice burnout is perfectionism. Therefore education is needed to develop strategies to manage perfectionism and reduce practice burnout.

• Journal of The Korean Society of Integrative Medicine
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• v.12 no.2
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• pp.155-166
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• 2024

Purpose : This study aims to identify key factors for predicting dropout risk at the university level and to provide a foundation for policy development aimed at dropout prevention. This study explores the optimal machine learning algorithm by comparing the performance of various algorithms using data on college students' dropout risks. Methods : We collected data on factors influencing dropout risk and propensity were collected from N University. The collected data were applied to several machine learning algorithms, including random forest, decision tree, artificial neural network, logistic regression, support vector machine (SVM), k-nearest neighbor (k-NN) classification, and Naive Bayes. The performance of these models was compared and evaluated, with a focus on predictive validity and the identification of significant dropout factors through the information gain index of machine learning. Results : The binary logistic regression analysis showed that the year of the program, department, grades, and year of entry had a statistically significant effect on the dropout risk. The performance of each machine learning algorithm showed that random forest performed the best. The results showed that the relative importance of the predictor variables was highest for department, age, grade, and residence, in the order of whether or not they matched the school location. Conclusion : Machine learning-based prediction of dropout risk focuses on the early identification of students at risk. The types and causes of dropout crises vary significantly among students. It is important to identify the types and causes of dropout crises so that appropriate actions and support can be taken to remove risk factors and increase protective factors. The relative importance of the factors affecting dropout risk found in this study will help guide educational prescriptions for preventing college student dropout.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.1
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• pp.1-15
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• 2023

The aim of this study is to identify intelligent learning support functions in Learning Management System (LMS) to support university student learning activities during the transition from face-to-face classes to online learning. To accomplish this, we investigated the perceptions of students on the levels of importance and urgency toward learning support functions of LMS powered with Artificial Intelligent (AI) technology and analyzed the differences in perception according to student characteristics. As a result of this study, the function that students considered to be the most important and felt an urgent need to adopt was to give automated grading and feedback for their writing assignments. The functions with the next highest score in importance and urgency were related to receiving customized feedback and help on task performance processed as well as results in the learning progress. In addition, students view a function to receive customized feedback according to their own learning plan and progress and to receive suggestions for improvement by diagnosing their strengths and weaknesses to be both vitally important and urgently needed. On the other hand, the learning support function of LMS, which was ranked as low importance and urgency, was a function that analyzed the interaction between professors and students and between fellow students. It is expected that the results of this student needs analysis will be helpful in deriving the contents of learning support functions that should be developed as well as providing basic information for prioritizing when applying AI technology to implement learner-centered LMS in the future.

• International Journal of Computer Science & Network Security
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• v.21 no.2
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• pp.188-192
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• 2021

In this paper, we apply data mining techniques and machine learning algorithms using R software, which is used to predict, here we applied a regression model to test some factor on the dataset for which we assumed that it effects student performance. Model was built on an existing dataset which contains many factors and the final grades. The factors tested are the attention to higher education, absences, study time, parent's education level, parent's jobs, and the number of failures in the past. The result shows that only study time and absences can affect the students' performance. Prediction of student academic performance helps instructors develop a good understanding of how well or how poorly the students in their classes will perform, so instructors can take proactive measures to improve student learning. This paper also focuses on how the prediction algorithm can be used to identify the most important attributes in a student's data.

• Educational Technology International
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• v.25 no.1
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• pp.67-92
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• 2024

This study aims to verify the practical effectiveness of learning management system (LMS) by introducing a LMS enhancing digital assessment utilizing automatic item generation in order to strengthen college student's mathematics performance. Teaching assisted with digital assessment in the LMS was applied to college mathematics classes, and the research question is whether or not students in the classes utilizing the LMS perform better than the regular classes. In particular, a calculus course, which is the foundation of important artificial intelligence technology in the future, was utilized in this study. The participants of this study were 248 freshmen in science and engineering who were taking calculus courses at a small to mid-size university. A total of 156 freshmen were selected after applying a propensity score matching method (PSMM), 78 from classes utilizing the LMS and 78 from regular classes without the LMS assisted with the digital assessment. As a result, it was found that there was a statistically significant difference in the math academic growth of students who used the LMS and those who did not. In other words, when LMS was used in calculus, students' academic growth was greater. The results of this study are meaningful in that they observed students' academic growth and confirmed that LMS enables a positive role in students' academic growth. In addition, if digital assessment is strengthened and LMS that enables individualized learning analysis is introduced and implemented in educational institutions, it is expected to play a major role in strengthening students' academic performance.

• The Korean Nurse
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• v.31 no.5
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• pp.65-71
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• 1992

In nursing, a practice discipline, it has been argued whether the mastery of clinical competence depends on types of learning styles, learning experience, and the use of specialized skills. All these problems are not limited to nursing education. Later educators identified the importance of reflective learning which is a vital element in any form of learning and that teachers and students need to consider how they can incorporate some forms of reflection in the courses. The purpose of this study is to review educational articles for understanding better what reflection in learning is, to identify the theme which is of important relevance to professional practice, from the book, Educating the reflective practitioner, and to discuss the theme within nursing education. Reflection in learning was defined by Dewey(1933) as the process which is involved the perception of relationships and connections between the parts of an experience. This experience is passed on when two people becoming involved with each other in a conversation. schon(1987) emphasized that learning conversation, which is a part of the interaction of student and teacher, is an important factor of the process of reflection-om-actopm. In clinical nursing education, good relationships between teacher and student, faculty's role, interpersonal skills are critical in learning conversation. Then Practing nurses who accept the need to choose nursing actionss on the basis of reflection, who accepet the necessity for understanding and being able to communicate the reasons for action are a powerfful force for the development of nursing into an increasingly more effective profession for the benefit of patients.

• English Language & Literature Teaching
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• v.12 no.3
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• pp.79-98
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• 2006

As one way of changing a teacher-fronted, grammar-based reading class into a meaningful, fun-creating one, this paper compared teacher- fronted reading with student-centered reading framed upon cooperative learning. In a study in which each type of reading method was conducted for college students in an EFL reading course for a period of one semester, data were gathered via questionnaires. The results showed that though each type of reading instruction came with its own strengths and weaknesses, student-centered reading instruction was preferred for various reasons. Most important, through an active participation in cooperative work, subjects were motivated and interested in L2 reading much, were exposed to various reading strategies and skills, and practiced them in a friendly, low-anxiety learning climate.

• International Journal of Contents
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• v.8 no.1
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• pp.1-9
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• 2012

The present study explores how the stress of online learners is related to Korean cultural norms and social expectation and presents the criteria online education should aim at when designing instructional approaches. A sample of 176 students from a Korean online university participated in a study investigating the patterns in the academic and personal stressors they face. This study also examines stressor types in relation to sample characteristics, analyzed with a categorization method developed by extant researchers on the stress faced by U.S. college students. Unlike the findings of previous studies on college student stress, this study's results reveal that nontraditional Korean online students were faced with (1) taking on the multiple roles at work and home prescribed by cultural and social norms, and (2) challenges in regulating study habits and the learning environment as adult learners. The relevant implications for the design of online learning are discussed.

• Journal of the Korean earth science society
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• v.24 no.2
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• pp.108-116
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• 2003

Problem Based Learning (PBL) is one of methods which has been developed to promote student-centered learning and to pursue self-directed learning for life-long learning. The purpose of this study is exploring the possibility of Problem Based Learning (PBL) in college Earth science course. The participants of this study were fourteen students attending an Earth science class at Sookmyung Women's University in Seoul. PBL was implemented in the form of group project with utilizing Web-based course tool. We provided questionnaires and conducted interviews to figure out students' perception about PBL. The findings were as follows: Through a given experiences, (1) students participated more actively than LBL (Lecture Based Learning), (2) more students were engaged with self-directed learning, and (3) students made higher cognitive efforts. LBL seemed to be more efficient way to acquire factual knowledge. In the meanwhile, PBL did not seem to affect the improvement of communication skills. Students could not make use of Web-based course tool effectively in communicating with other team members. In this study, we found that college student participants preferred problems related to everyday life, environmental issues and interesting but unusual incidents. On the other hand, they felt difficult in open-ended problems, especially when they were asked to provide their own evaluation. On the basis of PBL experiment in this paper, we present one method of successful implementation of PBL and suggest topics which should be studied in the future.