• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.4
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• pp.2062-2073
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• 2014

Relationship learning is very important to grow and develop interorganization. Greatly to ours regret, relationship learning study have left unexplored with regard to interfirm's relationship. The purpose of this study is to analyze the effects of relationship benefits on relationship learning and cooperation of buyer-seller in food material industries. We collected statistically usable data from 228 questionnaire respondents who deal with food firms and analyzed them with SPSS 20.0 and Amos to achieve research's goals. Analysis results revealed that, first, relational benefits of economical benefits and psychological benefit had impacts on relationship learning between buyer and seller in food material channel market. Second, the survey found that relationship learning has impact on collaboration. Third, on the other hand, relationship benefits of social benefits had no effect relationship learning. Summary and strategy implication will be mention in conclusion.

• Journal of the Korean earth science society
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• v.30 no.7
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• pp.909-927
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• 2009

Inquiry became an essential methodology in science education. Recently, argumentation becomes more important in inquiry, but inquiry-based teaching in school science would not provide enough opportunities for students to have voluntary and active interactions during inquiry activities. Informal science learning can be an alternative for authentic inquiry. Accordingly, this study aims to find interaction patterns in dialogic inquiry of junior high school students in small groups in the natural history gallery. Inquiry elements and interaction patterns are analyzed with 42 dialogues of 13 small groups. As a result, seven interaction patterns are identified. First, five major interaction patterns were drawn as follows; Sharing questions, asking questions and simple response, asking questions and simple explanation, asking questions-simple explanation-(collecting data)-data based explanation, and asking questions-collecting data-data based explanation. Second, pattern 2, 'asking questions and simple response', is subdivided into three categories; passive and/or evasive response, inaccurate response, and repeated patterns of asking questions-simple response. The results of the study provide different patterns of dialogic interactions in a small group inquiry in informal contexts from formal contexts, and provide foundations to understand middle school students' interactive dialogues of inquiry occurred in the natural history gallery.

• Journal of Science Education
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• v.36 no.2
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• pp.167-185
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• 2012

This study aimed at finding points of improvement in teaching expertise by analyzing the question patterns that appeared during teaching demonstrations which applied science teaching models prepared by a pre-service biology teacher. The question analysis frame for analyzing question types were categorized largely into the question types of Category 1 (questions in cognitive domain, questions with research function, questions in affective domain), Category 2 (repeated questions, questions for narrowing the range, practice questions), and Category 3 (questions on student activity progress, memory questions, and thinking questions). The results of analyzing question patterns from five different science teaching models revealed a high frequency of questions in the fields of cognition and memory. For the circular learning model, questions from the cognitive field appeared the most often, while, student activity progressive questions in particular were used mostly in the 'preliminary concept introduction stage' of the circular learning model and the 'secondary exploratory stage', in which experiments were conducted, and displayed the characteristics of these stages. The discovery learning model combined the courses of observation, measurement, classification and generalization, but, during teaching demonstrations, memory questions turned up the most, while the portion of inquisitive function questions was low. There were many questions from the inquisitive learning model, and, compared to other learning models, many exploratory function questions turned up during the 'experiment planning stage' and 'experiment stage'. Definitional questions and thought questions for the STS learning model turned up more than other learning models. During the change of concept learning model, the five concepts of students were stimulated and the modification of scientific concepts was very much aided by using many memory questions.

• Journal of The Korean Association For Science Education
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• v.38 no.2
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• pp.147-160
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• 2018

The purpose of this study is to construct a Teachers' Learning Community (TLC) with three teachers from the same school and to develop a joint teaching plan for students through the TLC. The conclusions from this study are as follows: The TLC with the same grade helps teachers to implement STEAM classes, where teachers overcame difficulties of STEAM lessons and successfully implemented them. Teachers in this study expressed difficulties of STEAM lessons including lack of time, difficulties of STEAM lesson implementation, and difficulties of developing a good STEAM lesson. Teachers worked together to develop a common teaching plan, to overcome the burden of teaching, and to plan better lessons through discussions and cross-checking. In addition, teachers newly discovered difficulties of lesson implementation as they watch each other teaching using a joint lesson plan. Teachers will conduct a better lesson as they improve these difficulties, where a better lesson means having students reach learning goals and learn from the lesson. Teachers in TLC felt that their lesson improved and they themselves growing through a series of courses of watching and learning each other's lessons.

• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.627-653
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• 2010

The present study proposes and examines a new type of multiple-choice math test. In this format, the options are the intermediate derivatives of the math problem solution process rather than the final answers. This idea originates from the studies on the effect of worked-out examples. In these studies, it has been shown that students learn better when they were presented with worked-out examples than when presented with final answers by themselves. In line with these findings, we introduced the intermediate derivatives of the solution process as the options of multiple-choice items so that the test-taker will have a chance to examine the solution process. The test was implemented as a computerized test in which students can solve problems in a short answer format, and then pick a multiple-choice option which appears when requested. The experimental group had multiple-choice options which were intermediate derivatives of the solution process, and the control group had the final answers as the options as in most multiple-choice tests. The participants were 6th graders in elementary school. The posttest results revealed that the average score of the experimental group was higher than that of the control group. The results suggest that tests that use intermediate derivatives of the problem solution process as options can be used as learning tools in the classrooms. Finally, directions for further studies were discussed.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.149-162
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• 2020

The purpose of this study was to suggest implications for improving training performance by studying how the capacity of IPP workers and the characteristics of training programs affect the training performance through social support of employees. The study was conducted by distributing the online questionnaire to 270 IPP learning worker(of 9 university). As a result, it was found that the characteristics of the learning worker and the characteristics of training programs were positively related to the social support of the employees, and their social support was positively related to the training performance. The results of this study can contribute to the training performance when used as reference materials for selection of trainees and participating companies and development and operation of training courses. However, the limitation of this study is that the objectivity of the result is rather low by deriving the response centered on the recognition of the learning workers. In future studies, it is necessary to increase the objectivity of the results through three-dimensional cross-checks with training participants.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1273-1284
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• 2016

In this paper, we analyzed the patents on machine learning using keyword network analysis and clique analysis. To construct a keyword network, important keywords were extracted based on the TF-IDF weight and their association, and network structure analysis and clique analysis was performed. Density and clustering coefficient of the patent keyword network are low, which shows that patent keywords on machine learning are weakly connected with each other. It is because the important patents on machine learning are mainly registered in the application system of machine learning rather thant machine learning techniques. Also, our results of clique analysis showed that the keywords found by cliques in 2005 patents are the subjects such as newsmaker verification, product forecasting, virus detection, biomarkers, and workflow management, while those in 2015 patents contain the subjects such as digital imaging, payment card, calling system, mammogram system, price prediction, etc. The clique analysis can be used not only for identifying specialized subjects, but also for search keywords in patent search systems.

• Management & Information Systems Review
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• v.35 no.2
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• pp.45-66
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• 2016

Firms can make scale of economy and scope of economy by internalizing and using new advanced technology and knowledge from technology cooperation network, decrease risk and cost with partner firm of technology cooperation network, and increase market advantage of product & strengthen firms' position in the market. Due to the advantages of technology cooperation network, the related studies have focused on the positive effect of technology cooperation network. However, the related studies investigating the relationship between technology cooperation network and firm performance have only examined the role of technology cooperation network. Safeguarding mechanism, relationship learning, and relationship performance are categorized into the process of technology cooperation network, and this categorization is applied as resources, capability, and performance by resource based view. The empirical results are reported as belows. First, relationship specific investment and relationship capital positively affect on relationship learning as capability. Second, information sharing, common information understanding, and relationship specific memory development positively affect on long-term orientation, but information sharing has no impact on efficiency and effectiveness. Third, relationship specific investment positively affects on relationship capital and efficiency and effectiveness have positive effects on long-term orientation. Applying technology cooperation network in asymmetric technology dependency with resource based theory, this study suggested the importance of both safeguarding and relationship learning by investigating the relationship among safeguarding, relationship learning, and relationship performance. And it is worthy that this study investigated how firms' behavior change affects relationship performance in the relationship of technology cooperation partner.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.1
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• pp.96-102
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• 2019

This study proposes basic information to make effective environments for social welfare education, revealing the reasons why students choose the social welfare major at Konyang Cyber University. We conducted qualitative research with 41 students in the social welfare department at Konyang Cyber University. The result of this research is as follows. First, most students chose their major to get a certificate that can benefit them in the near future. Second, they chose their major as a way to achieve renown, and to enhance the quality of their lives. Third, they desired to contribute to society through their social work. Finally, individual experiences and family background were also motives. Based on the research, to improve learning outcomes in social welfare education, the necessary learning strategies are as follows. First, goal-oriented learning is necessary for students who want to get the certificate. A practical curriculum needs to contain both practical skills and professional knowledge applicable to the social work field. Second, education for students who choose the major to gain fame, and to develop their lives, requires generation-integrated education to help them review their lives and find their own meaning in life. Third, education for students who choose the major for a practical social contribution has to contain volunteer training that can lead them to be professional volunteers in society. Fourth, education for students who choose the major based on their personal experiences and their family background needs to deal with case management, which discovers the recipients who need help in society and the students who can achieve visible outcomes after all.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.733-740
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• 2021

The purpose of this study is to present the direction of elementary school AI education by analyzing cases of classes related to AI education in actual school settings. For this purpose, 19 classes were collected as elementary school class cases based on AI education. According to the result of analyzing the class case, it was confirmed that the class was designed in a hybrid aspect of learning content and method using AI. As a result of analyzing the achievement standards and learning goals, action verbs related to memory, understanding, and application were found in 8 classes using AI from a tool perspective. When class was divided into introduction, development, and rearrangement stages, the AI education element appeared the most in the development stage. On the other hand, when looking at the ratio of learning content and learning method of AI education elements in the development stage, the learning time for approaching AI education as a learning method was overwhelmingly high. Based on this, the following implications were derived. First, when designing the curriculum for schools and grades, it should be designed to comprehensively deal with AI as a learning content and method. Second, to supplement the understanding of AI, in the short term, it is necessary to secure the number of hours in practical subjects or creative experience activities, and in the long term, it is necessary to secure information subjects.