• Journal for History of Mathematics
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• v.17 no.4
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• pp.133-152
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• 2004

In this paper, we discuss students' conceptual development of eigen value and eigen vector in differential equation course based on reformed differential equation using the mathematical model of mass spring according to historico-generic principle. Moreover, in setting of small group interactive learning, we investigate the students' development of mathematical attitude.

• Journal of Engineering Education Research
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• v.20 no.5
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• pp.34-42
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• 2017

This study aimed to identify the causal relationships among self-regulated learning strategy, problem solving efficacy, task value and learning outcome, and mediation effect of self-regulated learning strategy in engineering capstone design course. The data were collected from 363 university students who enrolled in capstone design courses and analyzed using structural equation modeling method. The results were: first, problem-solving efficacy and task value exerted significant effects on self-regulated learning strategy. Second, self-regulated learning strategy exerted significant effects on learning outcome, but problem-solving efficacy and task value did not. Third, problem-solving efficacy and task value showed significant indirect effects on learning outcome, which confirmed that self-regulated learning strategy fully mediated between two exogenous variables and learning outcome.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.10
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• pp.77-85
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• 1993

In this paper, we present a method to solve a convexly combined fuzzy relational equation with generalized connectives. For this, we propose a neural network whose structure represents the fuzzy relational equation. Then we derive a learning algorithm by using the concept of back-propagation learning. Since the proposed method can be used for a general form of fuzzy relational equations, such fuzzy max-min or min-max relational equations can be treated as its special cases. Moreover, the relational structure adopted in the proposed neurocomputational approach can work in a highly parallel manner so that real-time applications of fuzzy sets are possibles as in fuzzy logic controllers, knowledge-based systems, and pattern recognition systems.

• Korean Journal of Cognitive Science
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• v.1 no.1
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• pp.103-127
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• 1989

Learning systems by using examples have been developed which include ALEX, LP, and LEX.Specially Silver's LP systems suggerts the method to use a seyuence of operators, which was applied to the worked example, to sove a symbolic equation.This paper presents the new learning system, called LRD, in which generalization and discrimination steps are suggerted to solv all the problems similar to the worked example.The system LRD is illustrated by the problem of finding the ranges of transcendentral functions and compared to LP and LEX by the problems discussed in them.

• International Journal of Contents
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• v.12 no.3
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• pp.47-53
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• 2016

The purpose of this study was to examine how Korean students accept and use mobile-assisted language learning (MALL) and investigate related factors that potentially affect MALL usage. The participants were 244 undergraduate students who were surveyed with a questionnaire. The research model, which included students' self-efficacy, content reliability, interactivity, perceived enjoyment, perceived usefulness, perceived ease of use, attitude, and behavioral intention to use MALL, was developed based on the technology acceptance model (TAM). The structural equation modeling (SEM) technique was employed in order to analyze the overall results of modified TAM and the research model. The results indicated that TAM was a good theoretical tool to understand students' acceptance of MALL. In addition, all constructs, with the exception of self-efficacy and interactivity, had significant effects on students' acceptance possibilities of MALL. Limitations and suggestions for the further study are also presented.

• Knowledge Management Research
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• v.15 no.2
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• pp.67-88
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• 2014

This study aims to investigate on measuring the success of e-Learning. For this purpose, we proposed a research model that consists of e-Learning contents quality, e-Learning system quality, e-Lecturing quality, sense of e-Learning community factors as independent factors and e-Learning and e-Learning satisfaction as mediators and tested it empirically based on the structural equation model. The empirical results showed that e-Learning contents quality, e-Learning system quality, sense of e-Learning community factors directly lead to e-Learning. The study also found that e-Learning contents quality, e-Lecturing quality, sense of e-Learning community factors bring about higher e-Learning satisfaction and that e-Learning satisfaction has a positive impact on e-Learning. Furthermore, the research discovered that both e-Learning and e-Learning satisfaction have a significant relationship with e-Learning net benefits. This research renders its theoretical contribution to analyzing a positive influence of sense of e-Learning community, a newly suggested variable added to the existing IS success model in this study, on e-Learning. From a practical view, the findings of this study can lead to improving the quality of e-Learning in today's era where the growth of e-Learning industry is quite noticeable.

• Journal of Information Technology Services
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• v.19 no.1
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• pp.159-172
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• 2020

The purpose of this study is to examine the structural relationship among factors affecting learning engagement, satisfaction, continuance intention in China-MOOC. For this study, data were collected from 334 students who were taking MOOC classes. and structural equation model ling analyses were employed to examine the causal relationships among variables. From the results of this study, First, self-regulated learning and interaction significantly affected learning engagement. Second, interaction had direct effects on satisfaction. Third, satisfaction significantly affect continuance intention. Furthermore, satisfaction mediated relationships between interaction and continuance intention. These results imply that self-regulated learning, interaction, learning engagement should be considered for designing and implementing China-MOOC learning. Further implication are discussed in the study.

• Informatization Policy
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• v.22 no.2
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• pp.75-92
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• 2015

The purpose of this study was to analysis about the relationship among Cyber Home Learning System(CHLS) circumstance, learner construct, learning satisfaction in elementary school students. Base on the selected data which was gathered from Chungbuk & Deajeon elementary schools, Structural Equation Modeling was used to examine the relationship between factors. The main results of the research were as follow : First, CHLS circumstance factor was more effective on the CHLS satisfaction than CHLS learner construct. In CHLS circumstance factor, 'service' factor was more influential variable. Second, there is high correlation between CHLS circumstance factor and CHLS learner construct. In CHLS satisfaction, 'contents and design' factor was more influential variable. Third, the model fit, = 624.945 (p<.001), RMR .020, GFI .929, AGFI .878, NFI .927, CFI .930, RMSEA .102 was relatively satisfied with the standard using structural equation model. As based on this results, CHLS in elementary education needs elaborate circumstance for the effective achievement.

• Journal of the Korean Chemical Society
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• v.59 no.6
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• pp.499-507
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• 2015

The purpose of this study is to investigate middle school students’ understanding of ionic equation. Two hundreds and nineteen middle school students were participated in the study. After six class hours of learning ‘electrolyte and ion’ unit, instrument was implemented to evaluate students’ understanding of ionic process and ability to write ionic equation. We analyzed the influence of characteristics of ionic compounds on correct answer rate. In addition, knowledge state of students required for writing ionic equation was analyzed. The results were as follows: First, ionic compounds tested were categorized into six groups. The correct answer rate was different depending on the characteristics of each group. Second, knowledge state required for writing ionic equation was structured. Based on results some suggestion were made to develope effective learning strategy for understanding ionic equation.

• Educational Technology International
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• v.22 no.2
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• pp.111-137
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• 2021

Embracing the important roles of presence, this study focused on exploring how to enhance online learners' learning engagement and learning achievement in distance higher education settings. More specifically, this study examined the structural relationships among university students' teaching presence, social presence, learning engagement, and perceived learning achievement in online learning environments using structural equation modeling. Data were collected from 206 university students enrolled in online courses in the second semester of 2020 at two large universities. According to the results of the data analysis, there was a significant relationship between teaching and social presence. Teaching presence and social presence predicted learning engagement that positively affected perceived learning achievement. Teaching presence was strongly associated with perceived learning achievement while social presence had a negative impact on that. Additionally, learning engagement had a mediating effect on the relationship between teaching presence and perceived learning achievement. This study found that students who perceived higher levels of teaching and social presences tend to more engage in learning, leading to perceiving better learning achievement. The findings suggest that the design, development, and implementation of effective online instruction should be needed to promote learning engagement, which can be linked to enhancing students' learning achievement. Implications and discussion are addressed in this article.