• Journal of Gifted/Talented Education
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• v.13 no.2
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• pp.113-130
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• 2003

In this study, learning materials that can be applied for web-based distant learning model were developed based on the characteristics of elementary school science in which investigation skills and thinking ability are considered to be important. And the effect of students' activity in a reports on student's investigating and thinking ability was investigated. While designing diverse experimental procedures, the students had. an opportunity to improve their observation attitude and way of scientific thinking. Such improvement was possible, only because the present web-based distant learning model consists of requiring an interaction between the students and a report and evaluation system which can put together such effort. Still, it was acknowledged that, as being in lack of teacher's direct support and supervision, the present web-based distant learning model might be somewhat ineffective in guiding the students in accordance with their own characteristics. For example, the students had a tendency to maintain their basic idea and style even when their reports are individually examined and corrected in terms of the format of the report.

• Journal of Digital Contents Society
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• v.19 no.8
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• pp.1575-1584
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• 2018

In this paper, we implemented a user - oriented adaptive English typing program using class and function structure provided by Python to get English learning effect while effectively typing English on PC. The user of the implemented English typing program creates a text file of required English example sentences and links them to use it for direct English typing exercise. In addition, based on the English sentence used in the English typing exercise, it is possible to obtain the English learning effect by providing the ability to perform the memorization test. The interface of the program is structured in the form of a game so that it can be accessed interestingly, and the ranking among the users is disclosed to provide a positive function. We expect that the implemented program will improve the user's English typing speed and improve the English learning effect.

• Journal of the Korea Computer Industry Society
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• v.2 no.9
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• pp.1139-1146
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• 2001

The value of Web in information societyis increasing in the field of education. Web Based Instruction (WBI) has an unlimited possibility of access the information. It also overcome the constraint of time and space more than the previous class learning method. The previous WBI system informed the results of study to learners after a professor's lecture and test was given. The uniform test didn't make the professor recognize the learner's evaluation according to the level of the learner and it couldn't be a reason to change a teaching method. In this paper, we discuss the Learning Evaluation(LE) component which can support a teaching method to teachers. We suggest LE component for supporting teachers as suggesting visually the test result of pre-test by step and post-test with several ways after analyzing, designing and realizing the evaluation of the test based on CDP(Component Development Process).

• The Journal of the Korea Contents Association
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• v.16 no.3
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• pp.488-497
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• 2016

Given the potential of mobile applications to create new learning opportunities beyond the prevalent use of digital textbooks and Internet lectures, this study aims to derive types and themes of mobile application content that can be effectively integrated with the school curricula. Twenty primary school teachers participated in this study that examines teachers' perceptions about the advantages and disadvantages of printed and digital textbooks' modality, the advantages and disadvantages of mobile learning, and the themes relevant to develop mobile applications. Findings indicate that it is necessary to develop activity-centered applications for vertical use rather than theme-centered applications for horizontal use. In addition, while most ideas derived from teachers center on multimedia access, there was lack of ideas that leverage the affordances of mobile devices for collaborative interaction and location-awareness. Lastly, to promote the diffusion of mobile learning in school environments, this study suggests the need to overcome teachers' epistemology that perceives mobilization against inquiry activities.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.7
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• pp.1004-1012
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• 2022

This paper contains the implementation of a game as a feature of a package tour management application with the Digital Game-based Learning approach that helps tourists learn about tourism spots. The game is written in Java language for an Android smartphone that is designed to be integrated with Content Management System (CMS) to manage the game's contents and assets. The game contains one tourism spots introductory level and five quiz game levels with each having a reward (points) and punishment (time penalty) system, then summed the results to obtain the total score from all levels. The total score will determine a tourist's performance and be listed on an online leaderboard to increase competitiveness among tourists. The conducted performance evaluation of the game shows satisfactory results of 0.9 seconds of response time from the database to the game. Implementing the game presented in this paper will potentially reduce the burden of the tour guide and increase the efficiency of managing the tour group.

• 대한공업교육학회지
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• v.38 no.2
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• pp.1-26
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• 2013

This study inquired following research questions by a narrative research method : What was the job of an engineer in mechanical design field? How did he fulfill his job-related learning in his workplace? What were the context and the characteristic of the job-related learning in the workplace? And some implications of the job-related learning on engineering education were discussed. We identified that the research participant's career as a mechanical engineer has developed through three stages. At first, he engaged on conceptual design of a semi-conductor test machine through self-initiated learning from basic to whole system of the machine. At second stage, he leaded a design group for the concrete design of a ball type semi-conductor test machine. In this stage he learned the meaning of cooperation and cooperative learning. At third stage, he initiated to found an entrepreneur company that was specified to design a semi-conductor test machine. He became CEO of the company. He learned the R & D policy making through contacts with global company, visiting exhibition in abroad. Eventually his main task as a mechanical engineer was the problem solving in the process of machine design. He had experienced and learned through his works : project management, independent fulfilling of tasks, functional analysis and reverse engineering, conceptualizing and test, cohesive cooperation, dialogue and discussion, mediation of conflict, human relationship, leadership. The implication of the narrative analysis on engineering education is, proposed, to give the students more chances to experience and to learn such activities.

• Journal of Korea Game Society
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• v.15 no.3
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• pp.151-160
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• 2015

This paper presents English vocabulary memorization system using forgetting curve to automatically adjust the vocabulary difficulty to match learner's level. Our system will decide the appropriate repetition cycle, depending on the number of memorizing words through the forgetting curve, then requires an iterative learning. No matter what learners know or do not know, words are reviewed. To save time by reviewing some words which have the highest probability that learners forget. And it provides vocabulary based on learner level, which makes learner maintain their interest and achievement. A general system provides vocabularies which difficulty matches with evaluated ones, or randomly provides some vocabularies without consideration of users' level. But we apply the "Glicko" system which is being used in the online chess game ranking system to adjust the vocabulary's difficulty. We utilize the system used in the one-by-one player system to our vocabulary-human system. As a result, learners's level and the vocabularies's difficulty is measured in the review process. Moreover it maximizes the performance of English vocabulary memorization by applying feedbacks from practice testing and distributed learning.

• Journal of The Korean Association of Information Education
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• v.25 no.3
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• pp.449-457
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• 2021

Ministry of education recently announced to implement AI curriculum in elementary, middle school and highschool from 2025 which will include programing, basic AI principal and AI Ethics, and the media is releasing articles that have reservations on it. This study is focused on analyzing the perspective of elementary teachers - who are going to be in charge of AI education - on the implementation of AI education in elementary schools and the teachers are divided into two groups of 'software-experienced' and 'software-inexperienced' in relation to software training background. The results showed that 100% of the 'software-experienced' teachers agreed on implementing AI education and 80% of 'software-inexperienced' teachers also showed positive perspective on it. Among the reasons that 20% of 'software-inexperienced' teachers had negative perspective on AI education, it was highly rated that existing home economics subject covers fulfilling amount of software education. Both 'software-experienced' and 'software-inexperienced' teachers chose grade 5 and 6 as the most appropriate age for software education and considered one class per a week as the most appropriate amount of AI class. In terms of the subject format, 75% of the 'software-experienced' teachers chose the idea that software education has to be an independent school subject which will include AI education. Also, 54% of the 'software-inexperienced' teachers chose the ideas either AI education should be an independent subject or software education should be an independent subject which will include AI education. The preference of the content of AI education appeared in order of basic AI programing, principles of AI and AI Ethics.

• Knowledge Management Research
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• v.25 no.2
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• pp.95-114
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• 2024

Because it is difficult to respond to a constantly changing environment with individual ability and creativity alone, many organizations are forming teams and seeking ways to make the teams more active. Team learning behavior allows team members to and create better performance based on such accumulated knowledge and experience within a team. In particular, the process of team learning not only explicit and formalized knowledge but also implicit and informal experiences is important from the perspective of knowledge management. However, there were limitations in utilizing research results on team learning behavior because the concepts were fragmented and the measurements were different for each researcher. In this study, an integrated model was presented by examining concepts related to team learning behaviors. Moreover, the measurement model of team learning behaviors was validated for the Korean context. The measurement model consisted of five factors: sharing and elaboration, constructive conflict, team reflection, team activity, and storage and utilization. This tool was confirmed through exploratory factor analysis and confirmatory factor analysis. The results of this study are expected to have implications for team researchers and practitioners who diagnose and improve the level of team learning behavior within an organization.

• Journal of KIISE
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• v.44 no.5
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• pp.503-509
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• 2017

In this paper, the copy mechanism and input feeding are applied to recurrent neural network(RNN)-search model in a Korean-document summarization in an end-to-end manner. In addition, the performances of the document summarizations are compared according to the model and the tokenization format; accordingly, the syllable-unit, morpheme-unit, and hybrid-unit tokenization formats are compared. For the experiments, Internet newspaper articles were collected to construct a Korean-document summary data set (train set: 30291 documents; development set: 3786 documents; test set: 3705 documents). When the format was tokenized as the morpheme-unit, the models with the input feeding and the copy mechanism showed the highest performances of ROUGE-1 35.92, ROUGE-2 15.37, and ROUGE-L 29.45.