• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.745-752
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• 2023

This study aims to improve the quality of classes by analyzing the role and learning achievement of instructors in programming subjects for non-major students. In order to improve the quality of university education, universities provide various programs to strengthen the teaching capacity of instructors. Ultimately, in order to improve the quality of classes, instructors increase student participation in classes, respond sincerely to students' inquiries, and provide feedback that can assist students in various situations that occur during class and learning, thereby improving class satisfaction and achievement. should try to improve. In this paper, based on the teaching method, learning achievement, and teacher role satisfaction survey conducted in the liberal arts programming course of K University, we study the influence of the teacher's role on the quality improvement of the class. Examine the relationship with satisfaction.

• Korean Journal of Social Welfare
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• v.66 no.1
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• pp.307-331
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• 2014

The purpose of the present study was to explore latent trajectory classes in the longitudinal change of depression measured using CES-D. The study data was extracted from the Korea Welfare Panel Study Data collected from 2006 to 2010. It consisted of 8,900 adults with aged over 19. Growth Mixture Modeling(GMM) was used to explore possible latent trajectory classes in the change of depression over time. The major findings of the present study were as follows. First, there were five latent trajectory classes in the longitudinal change of depression. Second, there were 4 latent trajectory classes of depression for people in a non-poverty group, while there were 3 latent trajectory classes of depression for people in a poverty group. These findings lead to three conclusions. First, 12.1% of the sample shows that their depression level increases over time. Second, the previous research findings of decreased depression over time might be caused by the combination of two latent trajectory classes(a low level depression sustain group and a depression decrease group). Lastly, the latent trajectory classes in the longitudinal change of depression, which are found in the present study, might be caused by interactions among depression, age, and poverty status.

• Journal of the International Relations & Interdisciplinary Education
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• v.1 no.1
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• pp.46-60
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• 2021

The main purpose of this study was to examine the satisfaction of online classes of undergraduates who have experienced sudden online classes in college because of COVID-19, and to analyze the differences of the satisfaction of online classes depending on colleges. The participants were 1,380 college students. Descriptive statistics, one-way ANOVA, and Post-hoc Scheffé were performed. Undergraduates were highly satisfied with online classes in cultural subjects and major subjects, whereas they showed low satisfaction with appropriateness of the assignment. There were statistically significant differences in online class satisfaction between colleges. Students at the College of Education were highly satisfied with online classes satisfaction, while engineering students were less satisfied with online classes satisfaction. There were statistically significant differences in students engagements between colleges. Regardless of colleges, students displayed low satisfaction in e-class server and teaching and learning infrastructure. These findings suggest that we need to provide autonomous support and make an effective online learning environment such as server expansion and e-class improvement to enhance undergraduates' self-directed learning. We also should come up with effective online classes guidelines.

• Journal of Christian Education in Korea
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• v.69
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• pp.139-162
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• 2022

This study verified the effect of learning motivation on immersion by non-face-to-face class method. For this purpose, 101 college students majoring in early childhood education were selected as research subjects. The average age of the study subjects was 22.6 years old, and 51 students took non-real-time non-face-to-face classes, and 50 students took real-time non-face-to-face classes. The study measured the level of immersion and the type of learning motivation after the non-face-to-face class was finished. The measured data were analyzed using descriptive statistical analysis and multiple regression analysis. As a result, in the results for all students, the performance approach goal had the most influence on immersion, and the mastery goal orientation had the next effect. Performance avoidance orientation had no effect. For students in non-face-to-face classes, performance approach goal orientation had an effect on immersion, and for students in real-time non-face-to-face classes, mastery goal orientation had an effect. The implications that can be obtained from the results of this study are as follows. First, non-real-time non-face-to-face classes should cover basic knowledge and skills so that there are no mistakes and failures. Second, non-real-time non-face-to-face classes should allow tasks with appropriate difficulty to be performed with a deadline. Third, real-time non-face-to-face classes should lower the fear of mistakes and failures.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.4106-4106
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• 2001

A method to discriminate human gallstones by nea. infrared(NIR) spectrometry using a soft independent modeling of class analogy (SIMCA) has been studied. The fifty NIR spectra of gallstones in the wavenumber range from 4500 to 10,000 cm$\^$-1/ were measured. The forty samples were classified to three classes, cholesterol stone, calcium bilirubinate stone and calcium carbonate stone according to the contents of major components in each gallstone. The training set which contained objects of the different known class was constructed using forty NIR spectra and the test set was made with ten different gallstone spectra. The number of important principal components(PCs) to describe the class was determined by cross validation in order to improve the decision criterion of the SIMCA for the training set. The score plots of the class training set whose objects belong to the other classes were inspected. The critical distance of each class was computed using both the Euclidean distance and the Mahalanobis distance at a proper level of significance(${\alpha}$). Two methods were compared with respect to classification and their robustness towards the number of PCs selected to describe different classes.

• Journal of Ecology and Environment
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• v.36 no.1
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• pp.49-56
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• 2013

The entire land of Southern Iran faces problems arising out of various types of land degradation of which vegetation degradation forms one of the major types. The present work introduces a model developed for assessing the current status of hazard of vegetation degradation using Geographic Information System (GIS). This kind of assessment differs from those assessments based on vulnerability or potential hazard assessments. The Sadra watershed which covers the upper reaches of Marharlu basin, Fars Province, has been chosen for a hazard assessment of this type of degradation. The different kinds of data for indicators of current status of vegetation degradation were gathered from collecting of field data and also records of the governmental offices of Iran. Taking into consideration three indicators of current status of vegetation degradation the model identifies areas with different hazard classes. By fixing the thresholds of severity classes of the three indicators including per cent of vegetation cover, biomass production and ratio of actual biomass to potential biomass production, a hazard map for each indicator was first prepared in GIS. The final hazard map of current status of vegetation degradation was prepared by intersecting three hazards in the GIS. Results show areas under severe hazard class have been found to be widespread (89 %) while areas under moderate and very severe hazard classes have been found less extensive in the Sadra watershed. The preparation of hazard maps based on the GIS analysis of these indicators will be helpful for prioritizing the areas to initiate remedial measures.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.05a
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• pp.309-320
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• 2007

The data imbalance problem which can be uncounted in data mining classification problems typically means that there are more or less instances in a class than those in other classes. It causes low prediction accuracy of the minority class because classifiers tend to assign instances to major classes and ignore the minor class to reduce overall misclassification rate. In order to solve the data imbalance problem, there has been proposed a number of techniques based on resampling with replacement, adjusting decision thresholds, and adjusting the cost of the different classes. In this paper, we study the feasibility of the combination usage of the techniques previously proposed to deal with the data imbalance problem, and suggest a combination method using genetic algorithm to find the optimal combination ratio of the techniques. To improve the prediction accuracy of a minority class, we determine the combination ratio based on the F-value of the minority class as the fitness function of genetic algorithm. To compare the performance with those of single techniques and the matrix-style combination of random percentage, we performed experiments using four public datasets which has been generally used to compare the performance of methods for the data imbalance problem. From the results of experiments, we can find the usefulness of the proposed method.

• English Language & Literature Teaching
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• no.5
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• pp.27-48
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• 1999

College students frequently feel their grammar knowledge from primary and middle school is not useful when they are asked to speak in college conversation classes. Because of their frustration at their lack of communicational ability as well as inappropriate teaching methods and class textbooks that have little to do with the student's major course of study, the student often has a low motivation to study. It is not uncommon for students to seek English education outside of their college classrooms by going to language institutes or studying abroad. College teachers need to find a way to use the student's background in grammar from primary and secondary schools. Despite the student's sentiment about his/her grammar education, grammar is an essential key to successful English conversation. Some ways that teachers can close the gap between primary and secondary school grammar education and college conversation classes are: to use a theme-based methodology, cue cards, and modeling. Activities such as Grammar Clinic, Grammar Police, and Show and Tell can be effective ways to bridge this gap. Teachers can use these activities and methods to correct such student errors as: incorrect word order, missing or unnecessary be verbs, confusion between be and do verbs, subject-verb agreement. and incorrect tense.

• International Journal of Human Ecology
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• v.12 no.1
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• pp.1-14
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• 2011

This study examined the features of maternal involvement in Korean children's early education and their relation to contextual variables and three forms of parental cognition. For this study 333 Korean mothers with 5 to 7 year-old children completed questionnaires that covered aspects such as demographical characteristics, three forms of involvement in their children's education, and three forms of parental cognition. Descriptive analysis indicated that mothers who were more involved in monitoring homework paid more monthly activity fees for supplementary classes and engaged more in cognitively stimulating activities at home. Financial investment in supplementary classes for children was not associated with engagement in cognitively stimulating activities at home. Stepwise regression analysis found that mothers who were more involved in monitoring their young childrens homework expressed higher aspirations for their childrens future occupation. Korean mothers who paid more for their child's supplementary classes had higher family incomes. Korean mothers who engaged more often in cognitively stimulating activities at home expressed higher parental self-efficacy, had a higher educational level, had a younger child, and had an earlier birth order or only child.

• Proceedings of the KSRS Conference
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• 2008.10a
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• pp.29-32
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• 2008

In this paper, we propose one unsupervised classification technique using the degree of polarization (DoP) and the co-polarized phase-difference (CPD) statistics, instead of the entropy and alpha. It is shown that the DoP is closely related to the entropy, and the CPD to the alpha. The DoP explains the feature how much the effect of multiple reflections is contained. Hence, the DoP could be used as an important factor for classifying classes. The CPD can also be computed from the measured Mueller matrix elements. For the smooth surface scattering, the CPD is about $0^{\circ}$, and for dihedral-type scattering, the CPD is about $180^{\circ}$. A DoP-CPD diagram with appropriate boundaries between six different classes is developed based on the SAR image. The classification results are compared with the existing Entropy-alpha diagram as well as the IPL-AirSAR polarimetric data. The technique may have capability to classify an SAR image into six major classes; a bare surface, a village, a crown-layer short vegetation canopy, a trunk-layer short vegetation canopy, a crown-layer forest, and a trunk-dominated forest. Based on the DoP and CPD analysis, a simple three-component decomposition technique was also proposed.