• Journal of The Korean Association For Science Education
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• v.25 no.7
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• pp.728-735
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• 2005

In this study, relationships between student the cognitive affective characteristics and conceptual understanding from individual computer-assisted instruction were investigated. Tests regarding field dependence-independence, learning strategy, self-regulated ability, visual learning preference, goal orientation, self-efficacy on ability, and computer attitude were administered. After having been taught by means of a CAl program, a conception test on molecular motion was administered. It was found that student conceptual understanding was significantly related to field independence, learning strategy, self-regulated ability among the cognitive characteristics and visual learning preference, goal orientation, self-efficacy on ability among the affective characteristics. Multiple regression analysis of the cognitive characteristics on conceptual understanding found that field dependence-independence was the most significant predictor. Self-regulated ability and a deep learning strategy were also found to have predictive power. Lastly, analysis of the affective characteristics, visual learning preference and self-efficacy on ability exposed them to be significant predictors of student conceptual understanding.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.9
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• pp.3959-3966
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• 2011

The purpose of this study was to investigate the effect of self-regulated learning ability on English learning achievement. A survey was conducted to the students majoring different fields of study in order to measure their self-regulated learning ability from March 10, 2010 to June 10, 2010. The result indicates a strong correlation between students' English achievement and self-regulated learning factors such as cognitive, affective, and behavior regulation. The results revealed that instructional, and training interventions should be needed to have significant goal-orientation, to maintain motivation, and to have self confidence from On-line and Off-line blended teaching for the successful English learning.

• Journal of Distribution Science
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• v.14 no.2
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• pp.135-144
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• 2016

Purpose - The purpose of this paper is to empirically investigate the moderating effects of social capital on antecedents factors path of export performance in the materials and components SMEs(Small and Medium-sized Enterprises) of Busan and Kyungnam region. In case of materials and components SMEs, they are always trying to achieve business performance including export sales and market share, but it is difficult for them to increase performance due to the limitation of inner & tangible resources. Therefore intangible asset such as technology capability and its antecedents factors which are technology innovation and learning orientation are getting more important to SMEs. In addition, it is supposed that social capital such as local network including distribution channel in overseas market plays an essential role to enhance export performance. Accordingly, the main goal of this study is to find out the relationship between export performance and antecedents factors and the validity of social capital as a moderating valuable. Research design, data, and methodology - Technology innovation, learning orientation and technology capability have been used as antecedents factors for export performance and social capital such as network diversity and intensity has been used for moderating effects analysis. In order to select these valuables mentioned above, this study examined the existing researches on a basis of Resources Based View, Organizational Learning Theory and Social Capital theory. To achieve the objective of this paper, 7 hypotheses including the moderating effects have been proposed with 6 potential variables measured by 24 questions. The survey was carried out from December 2014 to March 2015 and 137 samples out of total 175 were selected for the analysis. PLS(Partial Least Squares) has been used for the methodology of empirical analysis for both antecedents factors path and moderating effects. Results - Research findings are as follows. First, technology innovation has a significant impact on learning orientation, learning orientation has a positive effect on the technology capability and technology capability also has a significant impact on export performance. Therefore 3 valuables are proved as antecedents factors of export performance. Second, the social capital(both network diversity and intensity) plays a moderating role with learning orientation to technology capability. However, there is no moderating effects between both of social capital and technology capability regarding export performance. Conclusions - According to path analysis results, it is suggested that the materials and components SMEs should raise technology innovation and learning orientation in order to improve technology capability and export performance. Meantime, the moderating effect analysis shows that SMEs should consider local network diversity and intensity along with learning orientation to add up technology capability. But local network diversity and intensity does not work systematically with technology capability for export performance and it means that SMEs should find the appropriate local partners for the purpose of establishing concrete distribution channels based on marketing perspective, not for improving technology capability.

• Journal of Venture Innovation
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• v.6 no.2
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• pp.123-144
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• 2023

In the age of 100 years, it had become very important to prepare for unexpected dangers. This study was conducted to analyze the factors affecting the sales performance of financial planners. We analyzed the influence relationship of sales training, sales management, and customer orientation on sales performance, and furthermore, analyzed the impact of these influence relationships. To this end, sales training was subdivided into customer development, sales competency, and learning agility. Customer orientation was subdivided into the use of customer management system, SNS use, and customer service provision. Sales management was subdivided into goal orientation, manager leadership, and compensation system. The effect of these detailed variables on sales performance was empirically analyzed. To this end, a survey was conducted targeting currently active financial planners. The survey was conducted for a month in January 2023, and 250 valid samples were analyzed. The results of the empirical analysis were as follows. Customer development and learning agility had a significant positive (+) effect on sales performance. Sales competency were not tested for significance. Among customer orientations, SNS use and customer service provision had a significant positive (+) effect on sales performance. The use of the customer management system was not tested for significance. Among sales management, goal orientation and compensation system had a significant positive (+) effect on sales performance. Manager leadership was not tested for significance. The influence of variables that significantly affect sales performance was in the order of goal orientation, customer service provision, compensation system, slearning agility, customer development, and SNS use. Based on these research results, academic and practical implications were presented.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.316-330
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• 2019

This study examines the effect of goal orientation (GO) on employee' self-esteem and organizational citizenship behavior (OCB). Also, this paper investigates the mediating effect of employee' self-esteem and the moderating effect of leader's ethical leadership. The results of this study targeted 1,656 employees working at company and public institution were as follows: First, we found that learning goal orientation (LGO) and performance prove goal orientation (PPGO) had a positive impact on employee' self-esteem. But performance avoid goal orientation (PAGO) was not directly related to self-esteem. Second, LGO and PPGO had a positive effect on employee' OCB. But PAGO was not related to OCB. Third, the mediating role of self-esteem in the relationship between GO variables (LGO, PPGO) and OCB was statistically significant. Finally, the interaction term of employee' GO (LGO, PPGO) and leader's ethical leadership was not related to OCB, whereas the positive link between PAGO and OCB was stronger when leader's ethical leadership was high. In particular, this study presented with implications for future research, limitations of this study.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.13-24
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• 2021

This was a one-group pretest-protest pre-experimental study designed to find out the effects of writing programs on college students using flipped learning for training convergence talents with complex problem solving skills. Data were collected from 27 C university students in G-do, from September 1st to October 30th, 2020. Analysis was done using IBM SPSS 25.0 for frequency (percentage), average, standard deviation, and paired t-test. The study showed that self leadership was enhanced by an average of 0.45 points (p<.001), metacognition by 0.87 points (p<.001), goal orientation by 0,77 points (p<.001), and creativity by 0.51 points (p<.001), so was statistically significant. The study demonstrated that writing programs using filpped learning had the effect of improving complex problem solving skills. so the results are expected to be used as basic data for the development of educational programs for traning convergence talents with problem solving skills at university-level. Also, for current college students that can freely access the online environment, development of various e-learning classes that apply flipped learning is needed.

• Journal of Engineering Education Research
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• v.21 no.1
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• pp.3-13
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• 2018

The purpose of this study is to propose a teaching and learning model that can effectively manage convergence education, which is one of the concerns of university education, at the level of course. The pre-collaborative instructional design stage is to prepare the operation of the convergence project course. It shares the common goal and establishes a team of relevant professors to set up the actual convergence project topic and establishes cooperation relationships with industry or community as needed. In the convergence project activity, students will be able to understand the learning objectives, learning activities, evaluation methods, and explain the subject of the convergence project by proceeding with the whole orientation. Students organize teams of interest and conduct learning and design activities on convergence technologies and present their results. In the educational improvement activities, professors will share the lesson process and results and discuss improvements through the improvement seminar. As a result of analyzing the effectiveness of the proposed convergence project based teaching and learning model, the convergence project experience has improved the cooperative self - efficacy for the learners and the results were confirmed that students perceived to achieve the expected learning goal and satisfied with their experience.

• English Language & Literature Teaching
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• v.17 no.3
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• pp.213-235
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• 2011

The aim of this study is to present preliminary results from an ongoing large-scale study of English-language future goal orientations held by Japanese university students. The work here involves an investigation of learners in multiple disciplines, from five universities, both public and private, in the Kanto-region of Japan, and their perspective on their future use of English. The results summarize written essays on L2-goal orientations. Preliminary results indicate Japanese learners (n = 629) as a whole have disparate L2-learning goals; however, these can be summarized into four broad categories: career, personal life, study, and general; and early findings indicate that most learners (63.56%) are oriented to career or personal goal orientations, while others are oriented to study and general. These early results help us to gain a better understanding of the future goals of Japanese university learners and their views of English usage in the future.

• Journal of Distribution Science
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• v.20 no.4
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• pp.85-94
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• 2022

Purpose: Previous research has found that organizational performance pressures and barriers have an effect on the long-term viability of Micro, Small, and Medium Enterprises (MSMEs). Furthermore, MSMEs' intellectual capital and strategic orientation, according to recent research findings, have an impact on this. The goal of this study is to see how intellectual capital and strategic orientation affect MSMEs' performance. Research design, data and methodology: The performance of MSMEs is the dependent variable, with intellectual capital, market orientation, learning orientation, and technical orientation as independent factors. With a sample size of 113 respondents, this research focused on information technology-based MSMEs in Indonesia's Solo Raya area. Data was analyzed use Confirmatory Factor Analysis for the reliability test and path analysis SEM. Results: The interaction between intellectual capital and strategic orientation in respect to MSMEs' performance reveals that innovation capability serves as a partial mediator in the relationship between intellectual capital and technical orientation and organization performance. Conclusions: In general, intellectual capital and strategic orientation have a positive substantial influence on innovation, according to the findings. Furthermore, they have a considerable favorable influence on the performance of MSMEs. It's just that intellectual capital has no discernible impact on knowledge sharing.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.2948-2963
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• 2015

In the field of computer vision, visual surveillance systems have recently become an important research topic. Growth in this area is being driven by both the increase in the availability of inexpensive computing devices and image sensors as well as the general inefficiency of manual surveillance and monitoring. In particular, the ultimate goal for many visual surveillance systems is to provide automatic activity recognition for events at a given site. A higher level of understanding of these activities requires certain lower-level computer vision tasks to be performed. So in this paper, we propose an intelligent activity recognition model that uses a structure learning method and a classification method. The structure learning method is provided as a K2-learning algorithm that generates Bayesian networks of causal relationships between sensors for a given activity. The statistical characteristics of the sensor values and the topological characteristics of the generated graphs are learned for each activity, and then a neural network is designed to classify the current activity according to the features extracted from the multiple sensor values that have been collected. Finally, the proposed method is implemented and tested by using PETS2013 benchmark data.