• The Transactions of the Korean Institute of Electrical Engineers D
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• v.52 no.5
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• pp.277-282
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• 2003

In this paper we propose Using Higher Order Neuron on the Supervised Learning Machine of the Kohonen Feature Map. The architecture of proposed model adopts the higher order neuron in the input layer of Kohonen Feature Map as a Supervised Learning Machine. It is able to estimate boundary on input pattern space because or the higher order neuron. However, it suffers from a problem that the number of neuron weight increases because of the higher order neuron in the input layer. In this time, we solved this problem by placing the second order neuron among the higher order neuron. The feature of the higher order neuron can be mapped similar inputs on the Kohonen Feature Map. It also is the network with topological mapping. We have simulated the proposed model in respect of the recognition rate by XOR problem, discrimination of 20 alphabet patterns, Mirror Symmetry problem, and numerical letters Pattern Problem.

• East Asian Journal of Business Economics (EAJBE)
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• v.10 no.3
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• pp.1-15
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• 2022

Purpose - This study explored factors of online education that affect student dissatisfaction and learning effectiveness in higher education during the COVID-19 pandemic. Research design, data, and methodology - This study combined qualitative and quantitative designs. The qualitative part of this study involved in-depth interviews using a criteria-based purposive sampling technique. The quantitative part of this study consisted of an online survey. Results - The qualitative results revealed that students faced significant problems related to online learning, including a lack of learning environment, interaction, and support from the school. The quantitative results indicated that the effects of transitioned-online courses on student dissatisfaction were higher with student support, the interaction between students and instructors, online learning environment, and course organization and evaluation based on the order, while the effects on learning effectiveness were higher with the online learning environment, interaction between students and instructors, course organization and evaluation, and student support based on the order. Conclusion - The results implied that online learning in the era of the COVID 19 pandemic negatively affects student satisfaction and learning effectiveness. Policymakers and school leaders should improve students' satisfaction and learning effectiveness when confronted with the pandemic. Better policies should be adopted to improve better way of teaching in the era of COVID19.

• The Journal of Korean Academic Society of Nursing Education
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• v.1 no.1
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• pp.46-61
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• 1995

The purpose of this study was to identify the degree of learning desire in the health education of military drill curriculum and to furnish basic data for the effective health education at high school. A total of 594 high school students were participated in the questionnaires and the 12 domains & the 55 questions were utilized for this study. The survey was conducted from March 15 to March 27, 1993 and the collected date were analized by T-test and F-test. The results of this study are as followings : 1. In the 12 domains, respondents indicated high degree of learning desire in 'human & sex', 'nutrition' and 'disease of adult' in that order. However 'accident & disaster', 'transport & management' and 'nursing' were not highly ranked. 2. In the 55 questions, respondents showed high degree of learning desire in 'artificial respiration' & 'cardiopulmonary resuscitation', 'precautionary of adult disease' and 'sex & sex moral' in that order, but low degree of learning desire in 'the management of many wounded persons' and the 'synopsis of nursing'. 3. Comparing the degree of learning desire by grade, the 1st, the 3rd and the End grade were ranked in that order. The 1st and 3rd graders showed higher degree of learning desire in 'human & sex', and the 2nd graders in 'nutrition'. 4. Also, female students showed higher degree of learning desire than male students in general. Female students indicated it in 'nutrition', 'human & sex' and 'adult disease' in that order while male students in 'human & sex', 'adult disease' and 'nutrition' in that order. 5. The academic high school students showed higher degree of learning desire than the vocational high school students. 'Human & sex' was highest ranked at both academic and vocational high school students.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.4
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• pp.55-65
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• 2022

The purpose of this study is to develop online educational contents and verify its effectiveness in order to strengthen the learning capabilities of college students. The theme of mind map online education contents is a mind map series for effective learning arrangement, and has been developed into a total of six contents. Each contents consisted of 20-30 minutes, and the details consisted of the concept, principle, learning case, how to write a mind map, and how to use a digital mind map. The results of the study are as follows. First, it was confirmed that the higher thinking ability of college students who took the mind map online education contents was improved. Second, it was confirmed that the self-directed learning attitude of college students improved after taking the mind map online education contents. Third, the reason why students' higher thinking ability and self-directed learning attitudes improved in this study is that they were developed in consideration of the composition of contents and appropriate video time. Therefore, in order to increase the effectiveness of online educational contents, it is necessary to examine specific cases using concepts from conceptual approaches to specific topics, and to faithfully reflect the procedure in which each learner can actually use the concept.

• Journal of Distribution Science
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• v.21 no.7
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• pp.33-40
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• 2023

Purpose: Higher Order Thinking Skills is one of the important aspects in education that must be mastered by the students in order to be qualified in competing at international level. Success in mastering HOTS among the students is always linked to preparation of a good and conducive learning environment. However, does this connection impacts the students' HOTS achievement? Therefore, this research is carried out in order to evaluate the relationship between HOTS and learning environment with the main focus on Accounting Principle Elective Subject (MPEI PP). Research design, data and methodology: Research in the form of correlation is implied in this study and it involves 59 Form 5 students that has learned all syllabus in Form 4's MPEI PP. Results: Evaluation of HOTS level is based on Taxonomy Bloom that covers applying skill, analysing skill, evaluating skill, and creating skill. Result from data analysis found that there is a very weak correlation (r = 0.02) between the two variables with regression equation of average grade point = 75.023 + (-.273) Learning Environment. Conclusion: Thus, a non-significant relationship between HOTS and learning environment is successfully proven through correlation and regression statistical analysis.

• Journal of Sensor Science and Technology
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• v.8 no.1
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• pp.45-52
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• 1999

In this raper, an enhanced learning method is proposed for improving the learning speed of the error back propagation learning algorithm. In order to cope with the premature saturation phenomenon at the initial learning stage, a variation scheme of active functions is introduced by using higher order functions, which does not need much increase of computation load. It naturally changes the learning rate of inter-connection weights to a large value as the derivative of sigmoid function abnormally decrease to a small value during the learning epoch. Also, we suggest the hybrid learning method incorporated the proposed method with the momentum training algorithm. Computer simulation results show that the proposed learning algorithm outperforms the conventional methods such as momentum and delta-bar-delta algorithms.

• Journal of The Korean Association For Science Education
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• v.18 no.2
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• pp.201-208
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• 1998

Although cooperative learning strategies in many subject areas have been found to be effective, the effect of cooperative learning on academic achievement in science laboratory setting is not clear. Reported results on the effects of the strategies for higher achieving students are not also consistent. In this study, the cooperative learning strategies emphasizing student-centered learning which included higher order thinking activities were used in a elementary school science course. The cooperative and traditional learning groups were selected from fifth-grade classes, and taught about dissolution and solution for 16 class periods. The effects of the cooperative learning strategies upon students' academic achievement, science process skill, the attitude toward science instruction, and the perceptions of classroom environment were investigated. Two-way ANCOVA results revealed that the test scores of academic achievement and science process skill for the cooperative learning group were significantly higher than those of the traditional learning group. No interaction between the instruction and the level of previous achievement was found. The perceptions of confliction were higher in cooperative learning group. In the attitude toward science instruction and the perceptions of participation, however, no significant difference between the two groups was found. Educational implications are discussed.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.30 no.4
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• pp.169-183
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• 2022

This study aimed to analyze the class effect of subjects to which Problem-Based Learning is applied to college students majoring in aviation service at university in Chungcheong. And we derive implications for continuously operating Problem-Based Learning classes. For the study, <Service Manners and Practice>, <Theory of Air Reservation Operation & Practice>, and <Introduction to In-flight Food & Beverage> were selected among the courses opened in the first semester of 2022. This study analyzes changes in communication competence, interpersonal skills, self-directed learning skills, higher-order thinking skills, information technology application skills, and problem-solving skills reflecting the core competencies of the universities to which the study students belonged. First, we analyzed the changes in communication competence, interpersonal skills, self-directed learning skills, higher-order thinking skills, information technology application skills, and problem-solving skills before and after classes by reflecting on the core competencies of the universities to which the study students belonged. As a result, all item except for interpersonal skills were improved. In addition, a qualitative analysis was conducted on the degree of learning improvement based on the contents of the reflection journal written during learning precess. As a result of the analysis, it was confirmed that it is effective for learning abilities such as communication, interpersonal relationships, self-directed learning skills, utilization of information, and problem-solving.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.8
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• pp.1454-1463
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• 2008

Blind source separation by independent component analysis (ICA) has applied in signal processing, telecommunication, and image processing to recover unknown original source signals from mutually independent observation signals. Neural networks are learned to estimate the original signals by unsupervised learning algorithm. Because the outputs of the neural networks which yield original source signals are mutually independent, then mutual information is zero. This is equivalent to minimizing the Kullback-Leibler convergence between probability density function and the corresponding factorial distribution of the output in neural networks. In this paper, we present a learning algorithm using information theory and higher order statistics to solve problem of blind source separation. For computer simulation two deterministic signals and a Gaussian noise are used as original source signals. We also test the proposed algorithm by applying it to several discrete images.

• Educational Technology International
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• v.17 no.2
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• pp.253-271
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• 2016

This study investigated the effect of generative concept maps according to learning achievements and cognitive load. A total of 78 students in the first grade of middle school participated in this study. Before the experimental treatment was implemented, students had to fill out a questionnaire assessing prior knowledge. The study was designed where all the students were presented the same learning contents regarding photosynthesis; however, the two experimental groups were provided with different concept map methods: a learner-generative concept map (GCM) and an instructor-provided concept map (PCM). GCM students were asked to make a concept map by themselves in small groups while they are reading material. PCM students were instructed to study in small groups in order to read the material; however, they were provided a concept map developed by their teacher. The control group (CG) had the teacher present the learning contents in traditional lecture format with no accompanying concept map. The results show that there were significant differences in the achievements among the groups. CG showed higher achievement than both the experimental groups. There was also a significant difference in cognitive load. Although the GCM group did not obtain higher achievement than the other groups, the GCM group showed higher mental effort and lower physical fatigue than the other groups. The GCM group might have invested more effort to find and connect ideas when drawing their concept map with peers which is unlike the conditions for the PCM group and CG. In conclusion, we should consider applying GCM in teaching and learning design in order to increase learning achievement and decrease extraneous cognitive load.