• Journal of Fisheries and Marine Sciences Education
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• v.24 no.6
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• pp.763-780
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• 2012

The purpose of this study was to develop the teaching & learning model to increase the key competencies in the university. For this, the researcher suggested the draft of teaching & learning model in the university based on literature analysis and survey for key competencies education to professors and students. After that, the draft of the model was revised through the formative test by experts. And then, the revised model was verified through delphi survey and a final model was fixed. As the result of this study, features of the final model are as follows. First, this study identified that a core values of teaching and learning model for the key competencies education in the university is reinforcement of learner's thinking skills and enhancement of field oriented on learning contents and reinforcement of professor's role as a mentor, a facilitator, a motivator, and an informant. Second, The core learning activity's process of the teaching and learning model for the key competencies education in the university consists of the following in order: team-building, exploring problem, gathering and analysing informations, arranging of leaning outcomes, comprehensive arrangement and self-examination.

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.37-46
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• 2019

The purpose of this study is to develop a flipped-learning based education model for vocational education and training. Based on previous studies, we have developed a training model that includes definitions of flipped-learning, major learning activities, and operational strategies in each occupation. In addition, delphi surveys were carried out to confirm the validity of the educational model for HRD and vocational education and training specialists. Finally, the flipped-learning model for vocational education and training consists of three stages: Pre-learning, Main-learning, and Post-learning. Pre-learning stage include Online lectures, Simple tasks, Main-learning stage include Active learning and Coaching-Debriefing lecture, Post-learning stage includes Individual reflection-Additional task performance activities. The educational model developed through this study was developed with the focus on improving the linkage and the performance of the goal of vocational education and training.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.247-251
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• 2014

As smart education increases the demand for new teaching-learning methods, teacher training colleges need to systematize smart education teaching-learning methods for pre-service teachers. This study designed a smart education teaching-learning model, which is applicable to pre-service teachers, by analyzing the smart education teaching-learning types for primary and secondary schools at national and international levels and by analyzing the Creation Teaching Learning Assessment (CTLA) model. The goal of smart education is to reinforce capability of learners. The smart education teaching-learning model designed to help pre-service teachers reinforce their smart literacy is suitable for reinforcing capability of future learners to receive smart education. The smart education teaching-learning model in this study was designed as a 15-week teaching plan applicable to pre-service teachers at teacher training colleges. In the teaching-learning model, problem-based learning (PBL), a situated learning model, and cooperative learning model were applied to weekly instructions. Further research should be conducted to prove its effectiveness in allowing pre-service teachers to reinforce their smart literacy by making gradual improvement in this model and to develop and test smart education teaching-learning models constantly.

• Asian Journal of Business Environment
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• v.7 no.4
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• pp.17-25
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• 2017

Purpose - The purpose of this study is to present a framework for determining the most appropriate business model for e-learning. Research design, data, and methodology - The Electronics Branch of Azad University has been elected as a case study in this research. This study conducted using a descriptive method. The information was obtained using interviews with experts including managers, faculty and students at the Electronics Branch of Azad University. Results - Three service-product system (product oriented system, use an oriented and result oriented system) approaches determined a framework for the formation of a portfolio. This portfolio is including three types of e-learning business models. Examining the relevant characteristics, correspondence of behaviorism learning theory with a product-oriented approach, correspondence of cognitivism theory with a user-oriented approach and in finally match correspondence of constructivist learning theory with a results-oriented approach which is evident. Conclusions - After reviewing the literature on the fields of e-learning, business model and product - service systems, we have achieved three types of e-learning business models. Then the variables in any of the business models were defined by using business model canvas tool and thus a portfolio consisting of three types of e-learning business model canvas was obtained.

• Proceedings of the IEEK Conference
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• 2005.11a
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• pp.179-184
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• 2005

Computer Education form is rapidly growing and has been developed in a variety of forms such as off-line. on-line, multimedia, ICT education . These forms are changed to E-Learning, Blended-Learning and Ubiquitous-Learning. Ubiquitous-Learning model schools have already been running on a national scale according to the policy of the Ministry of Education. In this study, to understand the necessity for the Ubiquitous-Learning and Ubiquitous-Environment, the awareness of the Ubiquitous environment and U-learning in model schools and general schools is analyzed and compared. Through this study, a desirable model about Ubiquitous-Learning and Environment will be explored.

• International journal of advanced smart convergence
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• v.7 no.1
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• pp.24-32
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• 2018

An outlier detection method using mixed prediction model has been described in this paper. The mixed prediction model consists of time-series model and regression model. The parameter estimation of the prediction model was performed using supervised learning and a genetic algorithm is adopted for a learning method. The experiments were performed in artificial and real data set. The prediction performance is compared with the existing prediction methods using artificial data. Outlier detection is conducted using the real sensor measurements in a dam. The validity of the proposed method was shown in the experiments.

• Journal of the Korea Society of Computer and Information
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• v.22 no.8
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• pp.101-106
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• 2017

In this paper, we propose a new teaching-learning model with two-step feedback on programming language learning, which is a basic preliminary learning for programming. Programming learning is aimed at improving problem solving skills and thinking by experiencing problem solving through programming. For programming, the learner must know how to work with the computer and what to do with it. To do this, concrete thinking should be established and described in an accurate programming language. In recent, most studies have focused on the effects of programming learning and have not studied the effects of education on language itself. Therefore, in this study, the teaching-learning model for programming language education is presented and applied to the field, and the results are compared with the existing instructional-teaching model.

• Education of Primary School Mathematics
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• v.5 no.2
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• pp.71-94
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• 2001

The purposes of this study were to design small group collaborative learning models for developing the creativity and to analyze the effects on applying the models in mathematics teaching and loaming. The meaning of open education in mathematics learning, the relation of creativity and inquiry learning, the relation of small group collaborative learning and creativity, and the relation of assessment and creativity were reviewed. And to investigate the relation small group collaborative learning and creativity, we developed three types of small group collaborative learning model- inquiry model, situation model, tradition model, and then conducted in elementary school and middle school. As a conclusion, this study suggested; (1) Small group collaborative learning can be conducted when the teacher understands the small group collaborative learning practice in the mathematics classroom and have desirable belief about mathematics instruction. (2) Students' mathematical anxiety can be reduced and students' involvement in mathematics learning can be facilitated, when mathematical tasks are provided through inquiry model and situation model. (3) Students' mathematical creativity can be enhanced when the teacher make classroom culture that students' thinking is valued and teacher's authority is reduced. (4) To develop students' mathematical creativity, the interaction between students in small group should be encouraged, and assessment of creativity development should be conduced systematically and continuously.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.111-117
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• 2022

Many studies have been conducted on software fault prediction models for decades, and the models using machine learning techniques showed the best performance. Deep learning techniques have become the most popular in the field of machine learning, but few studies have used them as classifiers for fault prediction models. Some studies have used deep learning to obtain semantic information from the model input source code or syntactic data. In this paper, we produced several models by changing the model structure and hyperparameters using MLP with three or more hidden layers. As a result of the model evaluation experiment, the MLP-based deep learning models showed similar performance to the existing models in terms of Accuracy, but significantly better in AUC. It also outperformed another deep learning model, the CNN model.

• Journal of Practical Engineering Education
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• v.15 no.1
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• pp.31-38
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• 2023

In this paper, a basic machine learning model learning and utilization education curriculum for non-majors is proposed, and an education method using Orange machine learning model learning and analysis tools is proposed. Orange is an open-source machine learning and data visualization tool that can create machine learning models by learning data using visual widgets without complex programming. Orange is a platform that is widely used by non-major undergraduates to expert groups. In this paper, a basic machine learning model learning and utilization education curriculum and weekly practice contents for one semester are proposed. In addition, in order to demonstrate the reality of practice contents for machine learning model learning and utilization, we used the Orange tool to learn machine learning models from categorical data samples and numerical data samples, and utilized the models. Thus, use cases for predicting the outcome of the population were proposed. Finally, the educational satisfaction of this curriculum is surveyed and analyzed for non-majors.