• The Mathematical Education
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• v.63 no.1
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• pp.19-33
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• 2024

This study investigates longitudinal patterns in middle school students' mathematics interest and achievement using panel data from the 4th to 6th year of the Gyeonggi Education Panel Study. Results from the multivariate growth mixture model confirmed the existence of heterogeneous characteristics in the longitudinal trajectory of students' mathematics interest and achievement. Students were classified into four latent classes: a low-level class with weak interest and achievement, a high-level class with strong interest and achievement, a middlelevel-increasing class where interest and achievement rise with grade, and a middle-level-decreasing class where interest and achievement decline with grade. Each class exhibited distinct patterns in the change of interest and achievement. Moreover, an examination of the correlation between intercepts and slopes in the multivariate growth mixture model reveals a positive association between interest and achievement with respect to their initial values and growth rates. We further explore predictive variables influencing latent class assignment. The results indicated that students' educational ambition and time spent on private education positively affect mathematics interest and achievement, and the influence of prior learning varies based on its intensity. The perceived instruction method significantly impacts latent class assignment: teacher-centered instruction increases the likelihood of belonging to higher-level classes, while learner-centered instruction increases the likelihood of belonging to lower-level classes. This study has significant implications as it presents a new method for analyzing the longitudinal patterns of students' characteristics in mathematics education through the application of the multivariate growth mixture model.

• Journal of Technologic Dentistry
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• v.40 no.3
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• pp.135-150
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• 2018

Purpose: In this study, we aim to provide primary source of data for developing a learning program that enhances the students' learning by critically analyzing and adopting the effective class participation factors of the students. Methods: A questionnaire survey has been conducted from the beginning of May to the end of October, 2017. Subjects of the survey was the dental technology students living in W-city et al by random sampling method along with written informed consent. Out of 630 distributed questionnaires, 584 results were used for our analysis. Results: Firstly, the average score of the class participation of all the subjects was 3.08 points out of 5.0, which was broken down into class activity (3.53 points), passion about class (3.51 points), communication factors (2.88 points), class preparation (2.77 points), class extension (2.76 points). Secondly, statistically significant correlations were found between class participation and class satisfaction as shown in (p<.01). Class participation factors that affect the class satisfaction were class preparation(p<.001), class activities(p<.001), passion about class(p<.001), which reveals positive and meaningful results. Explanatory power of the model turned out 50.3%. Conclusion : Considering that class preparation, class activities, and passion about class played a key role in class satisfaction of the student, teachers need to be open minded to reflect the learners' personalized demands and needs in preparing and managing their class. Additionally should be in tandem that provides the students with various routes of class participation.

• Journal of Ocean Engineering and Technology
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• v.35 no.2
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• pp.141-149
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• 2021

The A60 class deck penetration piece is a fire-resistance apparatus installed on the deck compartment to protect lives and to prevent flame diffusion in the case of a fire accident in a ship or offshore plant. In this study, the sensitivity of the fire-resistance performance and approximation characteristics for the A60 class penetration piece was evaluated by conducting a transient heat-transfer analysis and fire test. The transient heat-transfer analysis was conducted to evaluate the fire-resistance design of the A60 class deck penetration piece, and the analysis results were verified via the fire test. The penetration-piece length, diameter, material type, and insulation density were used as the design factors (DFs), and the output responses were the weight, temperature, cost, and productivity. The quantitative effects of each DF on the output responses were evaluated using the design-of-experiments method. Additionally, an optimum design case was identified to minimize the weight of the A60 class deck penetration piece while satisfying the allowable limits of the output responses. According to the design-of-experiments results, various approximate models, e.g., a Kriging model, the response surface method, and a radial basis function-based neural network (RBFN), were generated. The design-of-experiments results were verified by the approximation results. It was concluded that among the approximate models, the RBFN was able to explore the design space of the A60 class deck penetration piece with the highest accuracy.

• International Journal of Reliability and Applications
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• v.4 no.2
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• pp.71-77
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• 2003

We propose, in this paper, the discrete version of NBU$_{Mg}$and show that the NBU$_{Mg}$ class is preserved under both the non-homo geneous poisson shock model and the general shock model.

• Journal of Biomedical Engineering Research
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• v.14 no.4
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• pp.365-370
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• 1993

Of the assumptions commonly used in continuous infection model, the least likely to be even approximately true in large population, is that of homogeneous mixing. In this paper, We investigate a model for the spread of infection amongst a population which is divided into classes, such that the individuals of each class mix homogeneously amongst themselves, but mix to a lesser degree with individuals of other class. The stochastic model in this form is intractable and approximations are made, yielding results in reasonable agreement with simulation trials.

• Bulletin of the Korean Mathematical Society
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• v.60 no.4
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• pp.1101-1129
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• 2023

In this study we propose a model of optimal retirement, consumption and portfolio choice of an individual agent, which encompasses a large class of the models in the literature, and provide a methodology to solve the model. Different from the traditional approach, we consider the problems before and after retirement simultaneously and identify the difference in the dual value functions as the utility value of lifetime labor. The utility value has an option nature, namely, it is the maximized value of choosing the retirement time optimally and we discover it by solving a variational inequality. Then, we discover the dual value functions by using the utility value. We discover the value function and optimal policies by establishing a duality between the value function and the dual value function. The model and approach offer a significant advantage for computation of optimal policies for a large class of problems.

• Journal of Korean Elementary Science Education
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• v.29 no.2
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• pp.233-241
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• 2010

The purpose of this study was to apply the instruction consulting model for elementary science lesson with novice teacher. In this study the PIE(Preparation, Implementation and Evaluation stage) instruction consulting model was used. This model was introduced and offered during the electromagnet unit for sixth graders. The results of this study were as follows. First, in the assessment of the teacher's satisfaction with the instruction consulting the client teacher was found to be very satisfied. Second, the inquiry and scientific achievement for the students of the client's class were to increase in the experimental group, which demonstrated a statistically significant difference. Given the above results, the instruction consulting applied with the PIE model for novice teachers, who desire to raise the success rate of the experiment for students in the electromagnet unit of the elementary science class, helped the teachers to teach the students.

• Korean Journal of Agricultural and Forest Meteorology
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• v.20 no.2
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• pp.214-227
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• 2018

An object oriented crop model was developed to perform crop growth simulation taking into account complex interaction between biotic and abiotic factors in an agricultural ecosystem. A set of classes including Atmosphere class, Plant class, Soil class, and Grower class were designed to represent weather, crop, soil, and crop management, respectively. Objects, which are instance of class, were linked to construct an integrated system for crop growth simulation. In a case study, yield of corn and soybean, which was obtained at an experiment farm in Rural Development Administration from 1984 to 1986, were compared with yield simulated using the integrated system. The integrated system had relatively low error rate of corn yield, e.g., <4%, under sole and intercropping conditions. In contrast, the system had a relatively large underestimation error for above ground biomass except for grain compared with those observed for corn and soybean. For example, estimates of biomass of corn leaf and stem was 31% lower than those of observed values. Although the integrated system consisted of simple models, the system was capable of simulating crop yield under an intercropping condition. This result suggested that an existing process-based model would be used to have more realistic simulation of crop growth once it is reengineered to be compatible to the integration system, which merits further studies for crop model improvement and implementation in object oriented paradigm.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.269-277
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• 2021

The purpose of the study is to explore the effect of university's managing and system support in online classes on learning participation mediated by learning presence and to examine the structural relationship between the factors. In order to achieve the purpose of the study, 135 students who take online "College English 2" classes were analyzed for the fitness of the research model and the path and structural analysis through a confirmative factor of the structural equation model. As a result of the study, first, the university's managing support for online class showed a positive effect to learning presence. Second, the university's managing support for online classes completely mediated learning presence and had a positive effect on learning participation. This study can clarify the structural relationship between environmental factors which are online class support and learners' characteristics in university online class, learning presence, and learning participation and can broaden the understanding of learning participation in online classes. It gives the implications that should be considered in teaching and learning design.

• 대한공업교육학회지
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• v.31 no.2
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• pp.257-306
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• 2006

The purpose of this study is to establish the major areas that will have to be considered in designing the Blended Learning in university class, and to provide an actual aid to the instructors that intends to design and practice the 'Blended Learning' by developing a practical and the 'Prescribing Blended Learning Design Model' on the basis of real precedent cases. In order to accomplish above study problems, I established the following study problems, and I have results by study problems. a. The major domain for designing the 'prescribed blended learning' for university class application was set up. b. The 'prescribed blended learning design process' for university class application and its character classified by each stages was presented. c. The 'prescribed blended learning design model' synthesized the blended learning design process and its character was presented. To carry out above problems, I have accomplished a literature study, investigation study, and formative precedent study.