• Journal of East Asia Management
• /
• v.4 no.2
• /
• pp.39-62
• /
• 2023

Online and offline mixed teaching mode has become an important way to promote the connotative development of higher education. Under the background that offline teaching has become mature, in order to further promote the development of online education, and promote the implementation of the mixed teaching mode, to mix and to provide basis for the construction of the mixed teaching mode, this study takes the online learning effect as the evaluation basis, adopts the online questionnaire survey to conduct statistical analysis of the online learning behavior of 2213 college students, and discusses the differentiation phenomenon of online learning groups from the micro, meso and macro perspectives. It is found that there are significant differences in the online learning effect of college students in terms of the type of learning platform, whether the school implements the online offline mixed teaching mode, education background, grade (bachelor's degree), and region. Colleges and universities should strengthen the promotion of online and offline mixed teaching mode; The online learning platform should improve the platform function and strengthen the functional differentiation design of learning resources for students. Education departments pay attention to the learning effect of online learners in different regions, and bridge the gap in regional education.

• Journal of Korean Elementary Science Education
• /
• v.33 no.4
• /
• pp.724-735
• /
• 2014

The purpose of this study was to confirm correlation between elementary school students' VARK Learning styles test and Scientific Communication Skills through VARK questionnaire (version 7.3) for Youngers and Scientific Communication Skills Test. The subjects were 99 in 6th grade students of an elementary school located in Gyeonggi-do, Korea. The results of this study were as follows: 64% of the students had multiple learning styles, but only 36% of the students preferred a single mode of information presentation. Among students had a single mode preference, the aural ("A") was the highest unimodal preference. Among "V(visual)" mode, "A" mode, "R(read/write)" mode, and "K(kinesthetic)" mode, "A" mode was the commonest learning mode which students had. In Scientific Communication Skills Test, students' overall average was 26.19p [scientific explanation type (11.85p), scientific insistence type (14.34p)]. Girls' scores were higher than boys in scientific explanation type, but not in scientific insistence type. The scores by communication forms were Text (5.67p), Number (6.87p), Table (6.15p), and Picture (7.49p). Girls' scores were higher than boys in Text and Picture forms but not in Number and Table forms. In result of correlation analysis (Spearman's rho) between VARK Learning Styles and the types & forms of Scientific Communication Skills, there were common correlation in "Read/write (R) learning style-Scientific insistence type", "Read/write (R) learning style-Grounds of Scientific insistence", "Read/write (R) learning style-Description of Scientific explanation", and "R learning style-Text form".

• Journal of Korean Academy of Nursing
• /
• v.43 no.2
• /
• pp.185-193
• /
• 2013

Purpose: Simulation-based learning has become a powerful method to improve the quality of care and help students meet the challenges of increasingly complex clinical practice settings. The purpose of this study was to identify the learning effects using high-fidelity SimMan and multi-mode simulation. Methods: Participants in this study were 38 students who were enrolled in an intensive course for a major in nursing at R college. Collected data were analyzed using Chi-square, t-test, and independent t-test with the SPSS 18.0 for Windows Program. Results: There were no statistically significant differences in learning effects between high-fidelity SimMan and multi-mode simulation group. However, skills in clinical performance in the high-fidelity SimMan group were higher than in the multi-mode group (p=.014), communication in clinical performance in multi-mode simulation group was higher than in the high-fidelity SimMan group (p<.001). Conclusion: Multi-mode simulation with a standardized patient is an effective learning method in many ways compared to a high-fidelity simulator. These results suggest that multi-mode simulation be offered to students in nursing colleges which cannot afford to purchase a high-fidelity simulator, or offered as an alternative.

• Educational Technology International
• /
• v.24 no.1
• /
• pp.29-51
• /
• 2023

This study examined the moderating effect of course satisfaction with class on the relationship between the mode of course delivery and learning presence and performance in university settings. Results showed that there was a moderating effect of the course satisfaction on the relationship between course delivery mode and learning presence. Specifically, higher satisfaction with instructor's teaching activities was associated with improved learning presence in face-to-face, blended, and online learning, in that order. However, there was no significant moderating effect on academic performance. These findings suggest that universities should consider not only the mode of course delivery and highlight the importance of systematic course design by instructors.

• Proceedings of the IEEK Conference
• /
• 2002.07c
• /
• pp.1483-1486
• /
• 2002

In this paper, a new scheme of iterative loaming control of a robot manipulator is presented. The proposed method uses a fuzzy sliding mode controller(FSMC), which is designed based on the similarity between the fuzzy logic control(FLC) and the sliding mode control(SMC), for the feedback. With this, the proposed method makes possible fDr fast iteration and has advantages that no linear approximation is used for the derivation of the learning law or in the stability proof Full proof of the convergence of the fuzzy sliding base learning scheme Is given.

• Journal of Electrical Engineering and Technology
• /
• v.13 no.4
• /
• pp.1705-1714
• /
• 2018

This paper develops a novel controller called iterative learning sliding mode (ILSM) to control linear and nonlinear fractional-order systems. This control applies a combination structures of continuous and discontinuous controller, conducts the system output to the desired output and achieve better control performance. This controller is designed in the way to be robust against the external disturbance. It also estimates unknown parameters of fractional-order systems. The proposed controller unlike the conventional iterative learning control for fractional systems does not need to apply direct control input to output of the system. It is shown that the controller perform well in partial and complete observable conditions. Simulation results demonstrate very good performance of the iterative learning sliding mode controller for achieving the desired control objective by increasing the number of iterations in the control loop.

• Korean Journal of Adult Nursing
• /
• v.26 no.1
• /
• pp.107-116
• /
• 2014

Purpose: The purpose of this study was to identify the effects of multi-mode simulation learning on critical thinking disposition, on the problem solving process and on clinical competence of nursing students. Methods: A non-equivalent control group with pre-posttest was designed. The participants in this study were 65 students who were enrolled in an emergency and critical nursing course at N university. The treatment group consisted of 33 juniors in 2010 and the control group 32 juniors in 2011. Collected data were analyzed using chi-square, independent t-test, and ANCOVA with the SPSS/WIN 18.0 for Window Program. Results: There were significant increases in problem solving process and clinical competence in the treatment group who participated in the multi-mode simulation learning compared to the control group who did not (t=-2.39, p=.020; F=12.76, p=.001). However, there were no significant differences in critical thinking disposition between the treatment and control group (t=0.40, p=.692). Conclusion: Multi-mode simulation is an effective teaching and learning method to enhance the problem solving process and clinical competence of nursing students. Further exploration is needed to develop and utilize multi-mode simulation for diverse scenarios, depending on emergency nursing educational goals and environments and to develop a universal method to measure outcomes.

• Asian Journal of Innovation and Policy
• /
• v.7 no.1
• /
• pp.55-78
• /
• 2018

This paper investigates the linkage between the mode of transformation of entrepreneurial learning into outcomes and the subsequent impact of these learning outcomes in enhancing the survival of high-tech startups in India. The study uses data from 45 high-tech startups headquartered across different locations in India for the purpose of analysis. Survival Analysis of the data is conducted to determine which mode of learning transformation and what type of en trepreneurial decision making preference have a significant influence on the survival of Indian high-tech startups and to what extent do they impact their survival. The results indicate that entrepreneur's prior startup experience, explorative mode of learning transformation, causal decision making of the entrepreneur and availability of funding for the startup as the key factors that reduce the time to survival of Indian high-tech startups. They also provide key insights on how these factors impact the startup survival in this region.

• Journal of Electrical Engineering and Technology
• /
• v.13 no.5
• /
• pp.1841-1851
• /
• 2018

For the safe and stable operation of the power system, accurate wind power prediction is of great significance. A wind power prediction method based on empirical mode decomposition and improved extreme learning machine is proposed in this paper. Firstly, wind power time series is decomposed into several components with different frequency by empirical mode decomposition, which can reduce the non-stationary of time series. The components after decomposing remove the long correlation and promote the different local characteristics of original wind power time series. Secondly, an improved extreme learning machine prediction model is introduced to overcome the sample data updating disadvantages of standard extreme learning machine. Different improved extreme learning machine prediction model of each component is established. Finally, the prediction value of each component is superimposed to obtain the final result. Compared with other prediction models, the simulation results demonstrate that the proposed prediction method has better prediction accuracy for wind power.

• English Language & Literature Teaching
• /
• v.13 no.1
• /
• pp.27-46
• /
• 2007

Teachers can maximize students' L2 learning by knowing preferred learning styles. This paper presents the results of a survey that asked 309 English learners to identify their perceptual learning style preferences. It further compared students' favored learning styles in terms of their gender and major field of study and explored a possible link between learning styles and English achievement. Collected data using Reid's (1995) questionnaire were analyzed by descriptive statistics, MANOVA, ANOVA, correlations, multiple regressions including squared partial correlations, and Cronbach's alpha. The results indicated that Korean students favored English learning in group regardless of gender, while their preferred mode of learning was significantly different in regard to their major field of study. Certain learning styles might be profitable for English achievement. Multiple regression analyses revealed that individual mode of learning was the best predictor of students' English achievement. It furthermore showed significant relationships between visual and individual styles of learning and English performance. The findings of the study reflected students' English learning context in which English native-speaking teachers frequently used communicative pair and small group activities for speaking practices that were consonant with students' learning styles.