• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.5
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• pp.135-142
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• 2016

This study aimed to identify the correlation between internal/external motive, academic failure (emotion, behavior, task preference), depression (depressive emotion, behavioral disorder, loss of interest, self-degradation and physiological symptom), and academic efficacy of elementary school students with underachievement basic learning, and discover the influential variables on internal/external motive, targeting 56 elementary school students with underachievement in third and fifth grade of 10 elementary schools in G metropolitan city. The research conducted T-test to figure out the difference between the children with underachievement by year and carried out theregression analysis to identify the predictors of self-determination motives. First, there was a difference between the third and fifth graders in terms of the external motives. Second, the influential variables for external motives of children with underachievement included depressive emotion, loss of interest and physiological symptom. Therefore, as more third graders with underachievement study under the external motives compared to the fifth graders, it is concluded necessary to adopt a program to reduce the variables for depression that influence the external motives.

• Journal of Information Technology Applications and Management
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• v.28 no.5
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• pp.1-16
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• 2021

This paper attempts to explore the need and importance of values integration in educational activities to mitigate learning crisis and promote sustainable learning achievement. The traditional approach, commercial motive, focus on instrumental knowledge coupled with many other contemporary issues have collectively smothered the fundamental humanistic principles of education. To avert the situation and execute the core objectives, we need to shift our focus: a shift from instrumental knowledge to humanistic-transformational knowledge; a shift from the traditional approach of supplying and storing information to learning to deal with the real-world problems; a shift from head to heart. Values integration is an attempt to initiate and promote this shift. Rather than teaching values and moral principles under a particular subject heading, values need to be a part of everyday in-school and out-school activities. To concretize this concept, a model is proposed in this study as a holistic model of values integration via whole school ambiances and community support.

• Journal of Engineering Education Research
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• v.15 no.6
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• pp.98-102
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• 2012

This paper diagnose subjects and measures the learning ability of students based on the goal of developing an assessment tool for education productivity based on multi-aspect evaluation conducted by ICEE at Honam University. Furthermore, develop an assessment tool for education productivity that provides a motive to bring detailed improvements in teaching methods through the diagnosis. In addition, a method for compensating the issues and improving the quality of subject is suggested to develop learning ability of students through applying the assessment tool. An integrated operated system of CQI is desired to be built along with quality improvement of education through measuring academic quality by studying the methods for enhancing academic and learning ability achievement from analysis of the curriculum provided in the "ABEEK program". Through this study the current state of education productivity is presented through analyzing the difference between students who participated in the "ABEEK program" and who did not participate, and operating a comparison between the student's comprehension on their majors and liberal arts by the multi-aspect evaluation that has been conducted for 2 years.

• Journal of Fashion Business
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• v.16 no.5
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• pp.178-191
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• 2012

This paper is purposed to study on the relationship of learning style, professor image, academic achievement in cosmetology majoring college students, and to find the effective education methods of them. The research methods are survey with 400 persons & statistics analysis such as frequency, factor, regression analysis, using SPSS V.14. The results are as belows; 1. Learning styles are divided by (1) shirker, (2) participate, (3) stand-alone, (4) dependent, (5) cooperative, (6) competitive, and professor images are divided by (1) professor ability, (2) professor relationship. 2. There is a relationship in learning styles and professor images. Especially cooperative, participate, dependent valued professor ability, shirker devalued it and cooperative, stand-alone, dependent, competitive valued professor relationship, shirker devalued it. 3. There is a relationship on learning styles and the academic achievement. participate, stand-alone, dependent achieve in high glades and shirker, cooperative low ones. 4. There is a no valid relationship with professor images and the students' academic achievement. 5. The conclusion are; there are the relationship of learning style, professor image, academic achievement in cosmetology majoring college students. So shirker need endless motive giving program, participate personal record management system, dependent creative motivating program, participate class attractive factors, stand-alone learner centered program.

• Journal of Fisheries and Marine Sciences Education
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• v.25 no.4
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• pp.915-927
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• 2013

This study aimed to discover the affective ability of students by applying a thematic project model concerning the marine field unit of science for third grade middle school students from among diverse methods of realizing STEAM education. Also, based on this, STEAM education is a new type of learning including the process of exploring by oneself, presenting, discussing and mutually evaluating by becoming an independent person in learning As the results of the study are as follows: First, the STEAM class applied with a thematic project model was discovered to promote a learning attitude toward science by learners. Second, the STEAM class applied with a thematic project model was shown to be effective in improving the self-directed learning characteristics of learners. Third, STEAM education applied with a thematic project model was found to promote learners' motivation for learning science. This may be an effective method for learners who have felt difficulty in the science curriculum or have not been interested in the curriculum by triggering voluntary motivation.

• Journal of Korean Dental Hygiene Science
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• v.4 no.2
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• pp.31-41
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• 2021

Background: To investigate the mediating effect of learning flow in the relationship between blended learning achievement and learning satisfaction in dental hygiene students, and to identify whether face-to-face studies should be substituted with non-face-to-face studies. Methods: Total 134 dental hygiene students, who underwent blended learning in the dental hygiene class during the first semester of 2021, were recruited. The research tools were blended learning achievement, learning flow, and learning satisfaction, comprising 15 questions in total. Mediation regression analysis was used to analyze the mediating effect of learning flow in the relationship between learning achievement and learning satisfaction, and that between each variable. Results: Learning flow and learning satisfaction (r=0.490, p<0.001) were positively interrelated, and the interrelation between variables was statistically significant. Class environment had the biggest effect as a subfactor of class achievement, and it appeared to have an effect on class attitude and learning motive. The effect of learning flow on learning satisfaction was statistically significant. Learning flow was partially mediated by both blended learning achievement and learning satisfaction. Learning flow was directly related to blended learning satisfaction and learning achievement. Conclusion: The results showed the possible use of blended learning in dental hygiene theory and practical subjects.

• Korean Journal of Health Education and Promotion
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• v.21 no.1
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• pp.259-283
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• 2004

This is an quasi experimental study using nonequivalent pre-test post-test control design for the development of the CAI program and an analysis of its effects, for nursing college students to learn emergency patient triage. This program was developed from November, 2000 to middle of September, 2001 with the aid of curriculum design experts. The subjects of this study were 86 randomly sampled freshmen students of C nursing college in Ulsan. They were divided into 45 for the test group and 41 for the control group. The CAI program for the learning of the emergency patient triage has been developed on the basis of Merrill's Component display theory and Keller's ARCS theory and through the curriculum design process of Hannafin ＆ Peck. It has also been done with the use of Tool book 8.0, the multimedia righting tool. The experiment to verify the effect of the CAI program has been carried on from September, 20 to October, 8 2001. There were six hypotheses to accomplish the purpose of the study, and the analysis of the data was done with the use of SPSS/win program. As a result of this study, the author concluded that this CAI program is an effective mediation method to promote the learning accomplishment and learning motive for nursing college students. Therefore in the field of emergency nursing education, it would be possible to use this program as means for widening the possibility of self-learning and to promote individual learning of nursing college students.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.6
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• pp.1236-1243
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• 2003

In this paper, we designed and implemented a practice-oriented simulation-type web courseware to learn the ‘Digital Circuits’ subject effectively. The implemented web courseware utilized multimedia elements such as graphics, animations, and voices etc. for improving understanding and interaction of learning. Also, the web courseware could be easily updated a learning information by using database built in a web server system. In result, the implemented web courseware could encourage a learner with a motive of learning and improve effects of learning. Also, a learner can widely learn because we can add various contents to database according to need. Furthermore, the web courseware could improve understanding for learning by offering feedback on the result.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.833-852
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• 2019

In real time applications, due to their effective cost and small size, wireless networks play an important role in receiving particular data and transmitting it to a base station for analysis, a process that can be easily deployed. Due to various internal and external factors, networks can change dynamically, which impacts the localisation of nodes, delays, routing mechanisms, geographical coverage, cross-layer design, the quality of links, fault detection, and quality of service, among others. Conventional methods were programmed, for static networks which made it difficult for networks to respond dynamically. Here, machine learning strategies can be applied for dynamic networks effecting self-learning and developing tools to react quickly and efficiently, with less human intervention and reprogramming. In this paper, we present a wireless networks survey based on different machine learning algorithms and network lifetime parameters, and include the advantages and drawbacks of such a system. Furthermore, we present learning algorithms and techniques for congestion, synchronisation, energy harvesting, and for scheduling mobile sinks. Finally, we present a statistical evaluation of the survey, the motive for choosing specific techniques to deal with wireless network problems, and a brief discussion on the challenges inherent in this area of research.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.4
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• pp.959-979
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• 2024

Rice pest identification is essential in modern agriculture for the health of rice crops. As global rice consumption rises, yields and quality must be maintained. Various methodologies were employed to identify pests, encompassing sensor-based technologies, deep learning, and remote sensing models. Visual inspection by professionals and farmers remains essential, but integrating technology such as satellites, IoT-based sensors, and drones enhances efficiency and accuracy. A computer vision system processes images to detect pests automatically. It gives real-time data for proactive and targeted pest management. With this motive in mind, this research provides a novel farmland fertility algorithm with a deep learning-based automated rice pest detection and classification (FFADL-ARPDC) technique. The FFADL-ARPDC approach classifies rice pests from rice plant images. Before processing, FFADL-ARPDC removes noise and enhances contrast using bilateral filtering (BF). Additionally, rice crop images are processed using the NASNetLarge deep learning architecture to extract image features. The FFA is used for hyperparameter tweaking to optimise the model performance of the NASNetLarge, which aids in enhancing classification performance. Using an Elman recurrent neural network (ERNN), the model accurately categorises 14 types of pests. The FFADL-ARPDC approach is thoroughly evaluated using a benchmark dataset available in the public repository. With an accuracy of 97.58, the FFADL-ARPDC model exceeds existing pest detection methods.