• 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 Digital Convergence
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• v.7 no.3
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• pp.49-60
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• 2009

The aim of this study was to develop a model for teaching-teaming by applying Ubiquitous at a learning experience field, in which connect characteristics of both ubiquitous application learning and experience teaming, making use of them. A literature survey of concepts was conducted, with the main areas to find out relationships between ubiquitous application learning and experience learning. Experience learning by applying ubiquitous learning methods maximizes its efficiency of experience learning in considering ubiquitous learning methods's characteristics of dynamic, interaction, sharing. Also it makes communications through positive participation and active interaction, and leads to a process of internal examination. The research data suggests that critical factors of experiencing learning applying ubiquitous are acquiring information and memory, information integration and exquisiteness, emotional and social activity, producing activity, help activity.

• Educational Technology International
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• v.21 no.1
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• pp.97-123
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• 2020

The purpose of this study is to investigate the emotions of students toward using digital textbooks, and to examine the factors affecting the emotions. This study examined the relationship between individual characteristics and computer usage, students' emotions, and the perceived learning effects. For this study, 2,950 1st grade middle school students participated in a survey which measured individual characteristics, computer usage behavior, emotions toward using digital textbooks, and perceived learning effects of digital textbooks. The results showed that positive emotions toward using digital textbooks were higher than negative emotions. The students' positive emotions were most affected by intrinsic motivation, self-regulated learning, and student's use of computers for learning and entertainment. Similarly, perceived learning effects were positively correlated to intrinsic motivation and self-regulated learning, but the students' positive emotions towards using digital textbooks was the strongest predictor. Digital textbook efficacy was the most influential factor that affected the students' negative emotions, while computer addiction was associated with negative emotions.

• The Journal of the Korea Contents Association
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• v.19 no.10
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• pp.385-396
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• 2019

This study was conducted to explore the characteristics of learner who showed free riding behavior in online collaborative learning. For this, 290 students from three universities in the metropolitan area were studied. The collected data are as follows. Learner characteristics are learning strategy, learning motivation, academic retardation behavior, and learning disposition. Interaction distinguished between frequency and type of message. Interaction levels were collected with frequency. The subjects with less than 5 interaction frequencies were defined as free-riding students. 43 students were classified as free riders. Learner characteristics were analyzed by cluster analysis. As a result, the learner characteristics were divided into five groups. All the free riding students belonged to 4 groups. The learner characteristics of 4 groups are as follows. First, the level of the learning strategy is very low. Second, learning motivation has a high tendency toward performance - oriented approach and high tendency to avoid performance. This tends to deliberately avoid learning. Third, the level of delayed behavior is high. This is deliberately putting off student activities. Fourth, learning tendency is high in academic anxiety, task value, self efficacy and learning belief are very low. This is a lack of confidence in learning.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.3
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• pp.364-372
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• 2016

This study examined the multi-phrased effects and outcomes of adult female learners who participated in lifelong learning activities, as well as the proposed structural relationships among the five latent variables. Questions established to achieve the purpose of the study are as follow: What effects do the learner's characteristics, lifelong education institutions, learning flow, and learning satisfaction have on the learning come? The participants of the survey numbered 632, but 54 respondents who were unreliable or did not complete their survey were excluded. A total of 578 cases were analyzed for this research. The structural relationships among the five latent variables-learner's characteristics, lifelong education institutions, learning flow and learning satisfaction, and learning outcome of the adult female learners-AMOS 18.0 program were also used for structural analysis. The major findings of this research are as follows. First, the model fitness showed that the hypothetical model provided a reasonable fit to the data ${\chi}^2=224.267$ (df=69, p<.001), RMSEA=.062, TLI=.943, RFI=.920, CFI=.957, IFI=.957, NFI=.939. Second, the learner's characteristics ( =.218, p<.001) and lifelong education institutions ( =.301, p<.001) have a direct effect on the learning outcomes. The learning flow ( =-.149 p=.541) does not have a direct effect on the learning outcome. Learning satisfaction ( =.405 p<.001) have a direct effect on the learning outcome. To put findings above together, in respect to adult female learners' performances, the learning outcomes are influenced directly by the learner characteristics, conditions of the lifelong education institutions, and learning satisfaction, whereas satisfaction indirectly affects the learners' learning outcome.

• Korean Medical Education Review
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• v.26 no.1
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• pp.70-76
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• 2024

This study investigates whether personality characteristics and learning behaviors can predict medical students' academic achievement in Korea, specifically in terms of successfully completing medical school without delays or achieving a high grade point average (GPA) in their final year. In May 2018, 316 medical students took the Multi-Dimensional Learning Strategy Test, 2nd edition, which provided data on their personality and learning behavioral characteristics. Their final year's GPA and any delays in completing medical school were ascertained by reviewing all electronic academic records of each semester they had been enrolled. The combination of personality and learning behavioral characteristics was significantly associated with completing medical school without delays, even after adjusting for sex and admission path. A multiple logistic regression analysis showed that the adjusted odds ratios and 95% confidence intervals for completing medical school without delays were 1.52 (95% confidence interval [CI], 0.83-2.78) and 3.64 (95% CI, 1.70-7.82) for "others" and "both high" categories, respectively, when compared with the "both low" category. For 235 students who completed medical school without delays, their learning behavioral characteristics (scores) were significantly associated with their final year's GPA even after adjusting for sex, admission path, and personality characteristics (scores) as determined by the multiple linear regression analysis. This study suggests that individual personality and learning behavior characteristics are predictors of medical students' academic achievement. Therefore, interventions such as personalized counseling programs should be provided in consideration of such student characteristics.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.11
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• pp.7474-7484
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• 2015

This study was conducted by implementing a structural analysis regarding adult learners' learning outcomes and their affecting factors in the lifelong educational institutions in Daejeon area with 960 adult learners. Research result was as following. First, learner and educational characteristics were confirmed to have an indirect impact on learning outcomes, which were mediated by learning satisfaction and commitment. Second, adult learner's characteristics directly influenced to learning commitment and satisfaction as well as educational institutions did. Third, learning commitment also directly affected learning satisfaction and outcomes. Fourth, learning satisfaction had a strong influence on learning outcomes. By all accounts, learning outcomes was directly influenced by learner, educational characteristics, and learning satisfaction. In addition, learning outcomes was indirectly impacted by mediating with learning satisfaction and commitment. Therefore, lifelong educational institutions should reinforce any strategies in order to enhance learning outcomes such as developing and providing more variable programs, making better class atmosphere and facility, positioning highly qualified teachers, and one-stop administration services.

• Journal of the Semiconductor & Display Technology
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• v.22 no.4
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• pp.136-141
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• 2023

The continuous shrinking of transistors in integrated circuits leads to difficulties in improving performance, resulting in the emerging transistors such as nanosheet field-effect transistors. In this paper, we propose a TCAD-machine learning framework of nanosheet FETs to model the current-voltage characteristics. Sentaurus TCAD simulations of nanosheet FETs are performed to obtain a large amount of device data. A machine learning model of I-V characteristics is trained using the multi-layer perceptron from these TCAD data. The weights and biases obtained from multi-layer perceptron are implemented in a PSPICE netlist to verify the accuracy of I-V and the DC transfer characteristics of a CMOS inverter. It is found that the proposed machine learning model is applicable to the prediction of nanosheet field-effect transistors device and circuit performance.

• Journal of Korean Elementary Science Education
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• v.34 no.4
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• pp.394-405
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• 2015

The purpose of this study was to develop and apply a differentiated instruction-learning reflecting various characteristics and demands of the gifted underachievers, and thereby help to develop the study attitude and study achievement of the gifted underachievers. To achieve the purpose, a case study on five gifted underachievers who are in $6^{th}$ grade of elementary school was conducted. By collecting and analyzing a variety of data including standardized tests, interviews with teachers, students, and parents, and observation journals, this researcher examined the characteristics and demands of the gifted underachievers. For the development of the program, differentiated strategies were designed according to students' interest and concern, their multiple-intelligence, and their learning styles. As a result of the application of them, a program with a total of 20 sections was finally developed. The result of the application for the differentiated instruction-learning program revealed improvements in their academic achievements. In addition, it was found that their learning motives were improved. The program was also found to affect their self-concept and their attitude toward learning. The study showed that developing an education program for the gifted underachievers should begin from the analysis of each student's characteristics. Also, it was found that a differentiation strategy could become an alternative to apply various characteristics and demands of the gifted underachievers to the development of a program. The gifted underachievers' intellectual and definitive characteristics were changed even by the short-term mediation. Therefore, the new issue about educating the gifted is to provide a differentiated instruction-learning program fitting their characteristics and demands and help them exert their potential as best as they could.

• Industry Promotion Research
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• v.8 no.4
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• pp.163-176
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• 2023

Through a literature review, this study examined the concept of slow learners and the lifelong learning characteristics of slow learners, and sought ways to achieve successful lifelong learning by utilizing grit and growth mindset among non-cognitive characteristics. Slow learners were experiencing difficulties in cognitive, academic, linguistic, social and emotional, and behavioral characteristics. For successful lifelong learning of slow learners, it was necessary to set long-term goals rather than short-term goals and to maintain effort and consistency of interest to achieve the goals. In addition, it was confirmed that in order to achieve long-term goals, it is necessary to believe that change can be achieved through effort and learning. In other words, the need for learning using grit and growth mindset was confirmed. Based on these previous research results, it was presented as a lifelong learning strategy for slow learners that applied grit and growth mindset, which are non-cognitive characteristics, rather than cognitive characteristics such as intelligence.