• Electronics and Telecommunications Trends
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• v.33 no.4
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• pp.1-13
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• 2018

Deep learning (DL) models have been widely applied to AI applications such image recognition and language translation with big data. Recently, DL models have becomes larger and more complicated, and have merged together. For the accelerated training of a large-scale deep learning model, model parallelism that partitions the model parameters for non-shared parallel access and updates across multiple machines was provided by a few distributed deep learning frameworks. Model parallelism as a training acceleration method, however, is not as commonly used as data parallelism owing to the difficulty of efficient model parallelism. This paper provides a comprehensive survey of the state of the art in model parallelism by comparing the implementation technologies in several deep learning frameworks that support model parallelism, and suggests a future research directions for improving model parallelism technology.

• Journal of Information Technology Applications and Management
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• v.13 no.4
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• pp.197-214
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• 2006

This study explores factors to facilitate web-based collaborative learning and the effect of learning, based on the PBL(Problem Based Learning) from the constructivist approach in e-learning. A research model, using the key variables such as situations, interactions, and systems, was developed. In order to test this proposed model, experimental design and post-survey was conducted to the learners who took on-line and off-line course with team project. In the research model, situation category was divided into instructor's support, unstructured problem, and self-directed learning. Interaction category was divided into three factors; 'interaction between learners', 'interaction between learner and instructor', and 'interaction between learner and technology'. System category was divided into.monitoring and incentives. As a result, it was found that collaborative learning can be improved by situations, interactions, and systems, and the effectiveness of learning can be improved by situations and interactions in PBL.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.1
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• pp.95-100
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• 2021

This paper introduces model-based meta reinforcement learning as a control for the manipulator of an underwater construction robot. Model-based meta reinforcement learning updates the model fast using recent experience in a real application and transfers the model to model predictive control which computes control inputs of the manipulator to reach the target position. The simulation environment for model-based meta reinforcement learning is established using MuJoCo and Gazebo. The real environment of manipulator control for underwater construction robot is set to deal with model uncertainties.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.338-344
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• 2009

Organizational learning of construction team has been long addressed in the literatures, but the mechanism of learning and the influence of leader in the team still remain vague. This paper presents a computational model (OLT) depicting the mechanism and the influence of leader in a systemic way. The OLT model is a multi-agent system based on some eloquent propositions proposed in previous researches. The proposed model is preliminarily validated by some toy-problem simulations. In the OLT model, the leader is assigned as a project manager. The results show that a proper leader can effectively improve the learning process and the result-in performance, in which the team learning is mainly affected by both the leader and the majority in a team. Based on our findings, two propositions are concluded accordingly: (1) Learning of a team would be enhanced if a proper leader is assigned; (2) The effectiveness of learning would increase in a team, in which the members retain explorative attitudes.

• The Journal of Information Systems
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• v.21 no.1
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• pp.117-152
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• 2012

The purpose of this study was to identify the negative factors affecting personnel u-Learning acceptance and to analyze the interrelation among the factors in this research model. The two independent variables avoidable convenience and reliant convenience, based on pilot test results, and learning performance and perceived interactivity, based on the relevant literature, are used to examine the research model. The research problem was tested with data collected from 577 respondents in 23 universities. This study developed and empirically analyzed a model representing the relationship by using the Structural Equation Model. The major findings of this study are, firstly, that the higher reliant convenience is negatively affecting the degree of system use and learner’s satisfaction, whereas avoidable convenience is only affecting the learner’s satisfaction. Secondly, the higher learning performance and stronger perceived interactivity affects the degree of system use as well as learner’s satisfaction. Finally, the degree of system use affects the learner’s satisfaction.

• Journal of Technology Innovation
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• v.5 no.2
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• pp.22-47
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• 1997

This paper suggests a model of Living & Learning Nation as a new ploicy framework. It is a combination of Living Nation and Learning Nation. Living Nation model takes the nation as a living entity composed of spirit, resource, and communication : it grows but healthy and balanced growth is needed, its organs are closely connected, it has a circulation system, the 'spirit' factor plays the central role, etc.. Learning Nation model is a national level version of learning organization concept. The model defines new perspectives on the objectives, span of means, and the role of government in S&T policy. Therefore, the model can be used to give new insights to policymakers of developing countries facing the knowledge-based economy.

• Journal of Convergence for Information Technology
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• v.9 no.3
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• pp.36-43
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• 2019

The purpose of this study is the preliminary inequality experiment study of control group to confirm the effects of convergence education by jigsaw model and flipped learning in nursing students. The subjects of this study were 81 students who participated in Integrated Practice II of the 3rd grade of Nursing Science in J area and data were collected using the questionnaire before and after the convergence education. As a result of the study, it was found that convergence education by jigsaw model and flipped learning was significant in learning satisfaction(t=-3.783, p=.001). Therefore, convergence education by jigsaw model and flipped learning as a teaching and learning method is expected to improve the learning satisfaction and maximize the learning outcome, so this study is meaningful as the basic data itself. Based on these results, it is necessary to develop and apply the teaching - learning program that combines jigsaw model with flipped learning.

• Journal of Advanced Information Technology and Convergence
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• v.10 no.2
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• pp.103-110
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• 2020

The course evaluations was used to collect the students' opinion and verify the learning performance for a long time. However, many evaluations' methods are not consider each characteristics of the course, and many courses were presented to students with the same question for the course evaluations. This research aims to make a learning success model considering the questionnaire of course evaluations and relationship between the factors of learning and learning satisfaction/benefit. In order to make a model, we identify the items of the questionnaire and distinguish the factors considering the items. The factors are Information Quality, Knowledge Quality, System Quality and Service Quality. Consequently, the research shows the connection and relationship between them and learning satisfaction/benefit.

• Journal for History of Mathematics
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• v.20 no.4
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• pp.123-152
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• 2007

This study researched on Cooperative learning. The contents of this study as follows; Especially, first, this studies researched theoretical background for cooperative learning, factor for effects of cooperative learning, features and effects on a model of cooperative learning. second, this studies researched the need of cooperative learning on mathematics, several conditions to succeed cooperative learning on mathematics, the models mainly using cooperative learning on mathematics, and this model was investigated an effects of mathematics learning.

• (The) Korean Journal of Educational Psychology
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• v.32 no.1
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• pp.1-27
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• 2018

The proposes of this study were to develop the learning consulting model based on creative problem solving and to verify the effects of its implementation. The model was developed based on ADDIE program developing model. In the analysis stage, literature review and needs survey were conducted for data collection on learning consulting at universities including the literature in related fields. Specific areas needed in the learning consulting model were selected from the results of this collected data. During the design and development stage, the learning consulting processes were established. These constituted the learning consulting model developed and it had been based on the Creative Problem Solving. To verify the validity of the learning consulting model based on the creative problem solving, a pilot study was implemented. The model was completed content a validity verification process performed by experts through focus group interviews. The aim this final model is to improve the self-directed learning ability and creative problem solving capacity of the university students. The study results showed that mean scores on self-directed learning ability of the experimental group increased significantly compared to the control group. Based on these findings, the learning consulting model seemed very effective in improving the university students' self-directed learning ability, as well as their creative problem solving capacity. Based on the results of this study, implications and limitations of the final model and its implementation were discussed.