• Journal of The Korean Association For Science Education
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• v.12 no.2
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• pp.81-95
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• 1992

The purpose of the study is to specify the evaluative objectives of science process skills and to serve as an evaluative criterion for the development of university competency test. The followings are the results of this study. (l) Five steps as a teaching and learning model of science are suggested for the improvement of science inquiry skills. (2) Three dimensional taxomony was presented to evaluate the science process skills of university competency test. (3) Sixteen behavioral elements were selected from the science process model and defined operationally. (4) 146 evaluative objectives were specified according to each behavioral element based on the results presented above, the science inquiry model and the evaluative objectives wilt be contributed to teaching and learning strategies for the improvement of science process skills including basic concepts and contents, and problematic situation in science.

• Asia Marketing Journal
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• v.15 no.3
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• pp.79-95
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• 2013

New product innovation is a process of embodying new knowledge in a product and technology licensing is getting popular as a means to innovations and introduction of new product to the market in today's competitive global market environment. Incumbents often rely on technology licensing to access new product opportunities created by other firms. Prior research has examined various aspects of technology licensing agreements such as specific contract terms of licensing agreements, e.g., distribution of control rights, exclusivity of licensing agreements, cross-licensing, and the scope of licensing agreements. This study aims to provide answers to an important, but under-researched question: why do some incumbents initiate more licensing agreement for exploratory learning while others do it for exploitative learning along the innovation process? We attempt to extend our knowledge of licensing agreements from an organizational learning perspective. Technology licensing as a specific form of interfirm linkages can be initiated with different learning objectives along the process of new product innovation. The exploratory stages of the innovation process such as discovery or research stages involve extensive searches to create new knowledge or capabilities, whereas the exploitative stages of the innovation process such as application or test stages near the commercialization are more focused on developing specific applications or improving their efficiency or reliability. Thus, different stages of the innovation process generate different types of learning and the resulting technological resources. We examine when incumbents as licensees initiate more licensing agreements for exploratory learning objectives and when more for exploitative learning objectives, focusing on two factors that may influence a firm's formation of exploratory and exploitative licensing agreements: 1) its past radical and incremental innovation experience and 2) its internal investments in R&D and marketing. We develop and test our hypotheses regarding the relationship between a firm's radical and incremental new product experience, R&D investment intensity and marketing investment intensity, and the likelihood of engaging in exploratory and exploitive licensing agreements. Using data collected from various secondary sources (Recap database, Compustat database, and FDA website), we analyzed technology licensing agreements initiated in the biotechnology and pharmaceutical industries from 1988 to 2011. The results of this study show that incumbents initiate exploratory rather than exploitative licensing agreements when they have more radical innovation experience and when they invest in R&D activities more intensively; in contrast, they initiate exploitative rather than exploratory licensing agreements when they have more incremental innovation experience and when they invest in marketing activities more intensively. The findings of this study contribute to the licensing and interfirm cooperation studies. First, this study lays a foundation to understand the organizational learning aspect of technology licensing agreements. Second, this study sheds lights on how a firm's internal investments in R&D and marketing are linked to its tendency to initiate licensing agreements along the innovation process. Finally, the findings of this study provide important insight to managers regarding which technologies to gain via licensing agreements. This study suggests that firms need to consider their internal investments in R&D and marketing as well as their past innovation experiences when they initiate licensing agreements along the process of new product innovation.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.354-359
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• 2006

The analysis of large-scale water resources systems is often complicated by the presence of multiple reservoirs and diversions, the uncertainty of unregulated inflows and demands, and conflicting objectives. Reinforcement learning is presented herein as a new approach to solving the challenging problem of stochastic optimization of multi-reservoir systems. The Q-Learning method, one of the reinforcement learning algorithms, is used for generating integrated monthly operation rules for the Keum River basin in Korea. The Q-Learning model is evaluated by comparing with implicit stochastic dynamic programming and sampling stochastic dynamic programming approaches. Evaluation of the stochastic basin-wide operational models considered several options relating to the choice of hydrologic state and discount factors as well as various stochastic dynamic programming models. The performance of Q-Learning model outperforms the other models in handling of uncertainty of inflows.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.187-195
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• 2024

This is an extended paper explaining the role of E-learning and quality development in the current situation. Amid Covid:19, E-Learning has achieved a new miles stone in imparting education and all levels of institutions have transformed their learning platform from face to face to virtual learning. In this scenario E-Learning is facing two major challenges, first to ensure the ability of computer systems or software to exchange and make use of information on virtual platform (interoperability) and secondly, developing quality learning through e-Learning. To impart learning and teaching (L&T) through E-learning, Middle East University (MEU) has adopted Learning Management Services (LMS) through Blackboard. The university has three types of L&T methods; full online, Blended and Supportive. This research studies the concept, scope and dimensions of interoperability (InT) of E-Learning in MEU then the connection and interdependence between with quality development. In this paper we have described the support and the importance of finest standards and specifications for the objectives of InT of E-Learning and quality development in MEU. The research is based principally on secondary data observed from MEU E-Learning deanship. Also sample of 20 E-Learning experts at MEU were given closed ended as well as semi closed questionnaires for evaluating the assurance of InT of E-Learning and quality development. These experts are mainly certified online facilitators and admin staff. Results provide the verification of application and presence of InT of E-Learning and assured the quality development process in MEU.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.11 no.1
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• pp.6-12
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• 2004

Purpose: The purpose of this study was to evaluate self-study learning achievement in undergraduate nursing students who used a web-based wound care e-book. Method: The web-based wound care e-book was applied to 80 nursing students at Y university. The students studied the wound care e-book for four weeks and practiced wound dressing by themselves in open laboratory. Learning achievement was evaluated according to achievement of unit objectives and performance of an actual wound dressing. Result: 1. The total mean score for achievement of unit objectives was 3.06 (${\pm}0.41$) and the total mean score on the performance of the wound dressing was 89.40 (${\pm}5.47$). 2. There was no difference between the scores in the performance test (F=1.012, p=.366) for students who used self-study and those who were given a lecture. 3. A positive correlation was found between achievement of unit objectives and performance of the wound dressing (r=0.306, p<0.05). Conclusion: The web-based wound care e-book was effective in facilitating self-study for nursing students, and there is a need to continuously develop and up-date web-based nursing education e-books to facilitate self-study.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.1300-1304
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• 2003

The following paper deals with a control problem of a mobile robot in home network environment. The home network causes the mobile robot to communicate with sensors to get the sensor measurements and to be adapted to the environment changes. To get the improved performance of control of a mobile robot in spite of the change in home network environment, we use the fuzzy inference system with multiple reward reinforcement learning. The multiple reward reinforcement learning enables the mobile robot to consider the multiple control objectives and adapt itself to the change in home network environment. Multiple reward fuzzy Q-learning method is proposed for the multiple reward reinforcement learning. Multiple Q-values are considered and max-min optimization is applied to get the improved fuzzy rule. To show the effectiveness of the proposed method, some simulation results are given, which are performed in home network environment, i.e., LAN, wireless LAN, etc.

• Journal of Engineering Education Research
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• v.21 no.1
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• pp.37-43
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• 2018

The purpose of this study is to investigate the effects of peer tutoring and feedback on academic learning in university mathematics. We compared subject satisfaction and academic achievement between the test group and the control group. We classified the test group(82 participants) and the control group(134 non-participants) and then applied peer tutoring and feedback to the test group. The rest of the environment was the same except for participation in the program. According to results, it was confirmed that the subject satisfaction were significantly higher(significance level .05) in the test group, where the subject satisfaction were learning objectives and expectation, learning satisfaction, and learning effect. Furthermore, in the change of academic achievement, the rate of decrease was lower and the rate of increase was higher in the test group than the control group. The satisfaction of participants was 4.33(Likert scale 5), and this trend tended to be same regardless of gender, high school course, or admission process.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.227-232
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• 2011

Individualized instruction only in the off-line classroom is not enough because elementary school students have various levels and tendencies. In recent years there are a lot of efforts to use online learning, and they are valuable. But the current online learning management systems are not utilized effectively in the elementary school. So this study suggests utilization plan of online learning management system through Moodle which can present and perform both learning objectives and learning contents for individualized instruction in elementary schools.

• Journal of Multimedia Information System
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• v.7 no.1
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• pp.33-40
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• 2020

Machine learning consists of supervised and unsupervised learning among which supervised learning is used for the speech recognition objectives. Supervised learning is the Data mining task of inferring a function from labeled training data. Speech recognition is the current trend that has gained focus over the decades. Most automation technologies use speech and speech recognition for various perspectives. This paper demonstrates an overview of major technological standpoint and gratitude of the elementary development of speech recognition and provides impression method has been developed in every stage of speech recognition using supervised learning. The project will use DNN to recognize speeches using magnitudes with large datasets.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.2
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• pp.127-135
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• 2024

Recent studies have shown that inverse design using deep learning has the potential to rapidly generate the optimal design that satisfies the target performance without the need for iterative optimization processes. Unlike traditional methods, deep learning allows the network to rapidly generate a large number of solution candidates for the same objective after a single training, and enables the generation of diverse designs tailored to the objectives of inverse design. These inverse design techniques are expected to significantly enhance the efficiency and innovation of design processes in various fields such as aerospace, biology, medical, and engineering. We analyzes inverse design models that are mainly utilized in the nano and chemical fields, and proposes inverse design models based on supervised and unsupervised learning that can be applied to the engineering system. It is expected to present the possibility of effectively applying inverse design methodologies to the design optimization problem in the field of engineering according to each specific objective.