• Communications of Mathematical Education
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• v.34 no.4
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• pp.545-561
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• 2020

The purpose of this study is to investigate the applications and possibilities of major programs that provide services using artificial intelligence in mathematics education. For this study, related papers, reports, and materials were collected and analyzed, focusing on materials mostly published within the last five years. The researcher searched the keywords of "artificial intelligence", "artificial intelligence", "AI" and "mathematics education" independently or in combination. As a result of the study, artificial intelligence for mathematics education was mostly supporting learners' personalized mathematics learning, defining it as an auxiliary role to support human mathematics teachers, and upgrading the technology of not only cognitive aspects but also affective aspects. As suggestions, the researcher argued that followings are necessary: Research for the establishment of an elaborate artificial intelligence mathematical system, discovery of artificial intelligence technology for appropriate use to support mathematics education, development of high quality of mathematics contents for artificial intelligence, and the establishment and operation of a cloud-based comprehensive system for mathematics education. The researcher proposed that continuous research to effectively help students study mathematics using artificial intelligence including students' emotional or empathetic abilities, and collaborative learning, which is only possible in offline environments. Also, the researcher suggested that more sophisticated materials should be developed for designing mathematics teaching and learning by using artificial intelligence.

• 대한공업교육학회지
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• v.40 no.2
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• pp.175-195
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• 2015

This study is aimed at exploring the educational meaning of cooperative hands-on activity in the technology subject from the perspective of a student who is an education consumer. For this purpose, this study selected 12 first year student of a middle school located at G City of Gyeonggi-do Province as research participants through purposeful sampling, and conducted an in-depth interview and group discussion based on stimulated recall questionary techniques. This study utilized area analysis, classification analysis and component analysis as a data analysis method, and secured the verity of the research through the examination between research participants and triangulation. As a result of this research work, it was found that the cooperative hands-on class in the technology subject had the meaning of 'Space between a burden and excitement about the technical making', 'Clue and ignition point of technological problem solving', and 'Self-discovery through Technical capability'. To be more concrete, 'Space between a burden and excitement about the technical making' means that students, whose usual school record is excellent, felt great psychological burdens of performance assessment, but their pre-experience and interest in 'Making' induced them to feel exhilaration of hands-on activity. 'Clue and ignition point of technological problem solving' means that students get to make much of the understanding & formation of the relationship with teammates in the process of resolving an unfamiliar hands-on activity task and to have the continuous problem-solving ability. 'Self-discovery through Technical capability' means that students get to realize the importance of learning experience of one's own making through hands-on activity learning, which could be the opportunity to meet the operant demands of the inner side. This study hopes that such results could be utilized as the basic data needed for designing the hands-on activity education in the technology subject more meaningfully and systematically for the time to come.

• Korean Journal of Comparative Education
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• v.27 no.1
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• pp.199-222
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• 2017

This study explores and compares how three guidebooks on intercultural education in Europe (Education Pack, Intercultural Learning, and Intercultural Education in Primary School) define their objectives, contents, methods, and evaluation in order to promote intercultural education to young people and adults. All these three guidebooks start with the underlying fact that difference is the reality of our societies and propose similar objectives. These guidebooks include furthering an understanding of the reality of an interdependent world, going beyond negative prejudice and stereotypes, and generating positive attitudes and habits of behaviors towards people from other societies and cultures. They also suggest similar contents for intercultural education, which all relate to the discovery of mutual relationships and the dismantling of barriers between people from other cultural backgrounds. However, with regard to methods, they show significant contrast: Education Pack and Intercultural Learning propose several stages that consist of imagining ourself from the outside, understanding the world we live in, being acquainted with other realities, seeing difference positively, and favouring positive attitudes, values and behavior, while Intercultural Education in the Primary School insists on positive learning, discussion and group work. Evaluation remains the least developed area in intercultural education; fortunately, the last guidebook treats this problem more seriously than the first two by dedicating a whole chapter to it. What is required of us now is determining how to adapt the principles and approaches of European intercultural education to Korean societies and schools.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.1
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• pp.9-18
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• 2015

Educational learning methods that take advantage of a robot provide opportunities for students to develop high dimensional thinking, a creative expression and discovery learning opportunity. It is also perceived as a suitable tool for STEAM systems which can be used in a variety of school curriculums. Therefore we designed and developed STEAM educational contents using robots in this study. This study analyze elementary text books and design the convergence contents from various subjects such as math, science, engineering and art through a robot. This study has developed educational materials by making a robot based on the designed contents. They have been applied to after school materials and then evaluated for comprehension, interest and participation. The results of this study have shown very encouraging evaluations from participating students. Accordingly, this study has shown that STEAM contents that take advantage of a robot have improved student participation, interests, and comprehension in the curriculums. Additionally, integrating STEAM educational content has proved more effective in contrast to being separated.

• The Journal of the Korea Contents Association
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• v.20 no.1
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• pp.573-580
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• 2020

The purpose of this study was to explore and to suggest the effective teaching methods for university students to improve their speaking abilities through peer assessment-feedback and self assessment-feedback based presentation and debate class. The objects and content of the study were the students who took a class "Reading and Communication" of H university, and here examine closely the speaking activities and their effects during the integrated activities of 'reading, speaking and writing'. In speaking education peer and self assessment feedback is to form an emotional consensus among the students and encourage active participation, and enable self-discovery and communication learning to students. As a result of the study, it was found that the variety speaking practice had a very positive effect on the attitude of speaking and the psychological aspect, and it was confirmed that the evaluation and feedback activities had a meaningful learning effect on the students. Effective speech education and guidance measures should be continuously studied and developed.

• Design Convergence Study
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• v.18 no.4
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• pp.1-15
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• 2019

As the game industry is steadily becoming the spotlight industry, the importance of user experience design in game industry is increasing. This study tried to approach game from the viewpoint of user experience design and aimed to analyze the onboarding process focusing on user accessibility and retention in an online game. First, through literature review, onboarding process was devided into three stages. Then each stages were analyzed into experience design, game design elements to derive the key UX factors. Second, based on the UX elements, the game experience and cognitive element analysis frame was presented. With this frame, five domestic online games were qualitatively analyzed and cognitive elements of each game's onboarding process were derived. Key cognitive factors in each stages were, selective attention in the discovery stage, working memory and active learning in the learning stage, and participation and motivation in the immersion stage. Finally, improvement direction were presented, focusing on the key cognitive factors. These studies highlight the importance of the user entry process in online games and suggests improvements to lower entry barriers.

• Journal of Korean Elementary Science Education
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• v.27 no.1
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• pp.42-48
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• 2008

The purpose of this study was to develop an instrument for assessing teachers' awareness of science teaching through analogy (ASTA) and to establish its validity and reliability. Based on the literatures on science teaching with analogies, we constructed 23 survey items. Face validity of the items was established using three science education experts. Through exploratory factor analysis with responses of 35 pre- and 26 inservice elementary school teachers, the instruments were constructed on four subcategories: awareness of analogies in science, use of analogy in teaching and learning, self-efficacy in science knowledge, and knowledge of analogy. The data collected from pre- and in-service elementary teachers demonstrated that overall the teachers' awareness of analogy in science was neutral, which indicated they did not have clear standpoints of science teaching through analogy. Further examination demonstrated that there was no significant difference between pre- and in-service teachers and between two genders. Moreover, there was no significant difference among teachers who preferred either didactic or discovery teaching approaches. We conclude that ASTA test would contribute assessment of teachers' awareness of analogy in science teaching while further examination of the instrument will warrant for its broader use.

• Asian review of World Histories
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• v.4 no.1
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• pp.83-123
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• 2016

We describe a vision of historical analysis at the world scale, through the digital assembly of historical sources into a cloud-based database, where machine-learning techniques can be used to summarize the database into a time-integrated actor-to-actor complex network. Using this time-integrated network as a template, we then apply the method of automatic narratives to discover key actors ('who'), key events ('what'), key periods ('when'), key locations ('where'), key motives ('why'), and key actions ('how') that can be presented as hypotheses to world historians. We show two test cases on how this method works. To accelerate the pace of knowledge discovery and verification, we describe how historians would interact with these automatic narratives through an online, map-based knowledge aggregator that learns how scholars filter information, and eventually takes over this function to free historians from the more important tasks of verification, and stitching together coherent storylines. Ultimately, multiple coherent storylines that are not necessary compatible with each other can be discovered through human-computer interactions by the map-based knowledge aggregator.

• Korean Management Science Review
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• v.18 no.1
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• pp.135-145
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• 2001

In recent environment of dynamic management, there is growing recognition that information and knowledge management systems are essential for efficient/effective decision making by CEO. To cope with this situation, we suggest the Data-Miming scheme as a key component of integrated information and knowledge management system. The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder’s point of view and EVA (Economic Value-Added), which represents shareholder’s point of view. To mine the new information & Knowledge discovery, we applied the improved genetic algorithms that consider predictability, understandability (lucidity) and reasonability factors simultaneously, we use a linear combination model for GAs learning structure. Although this model’s predictability will be more decreased than non-linear model, this model can increase the knowledge’s understandability that is meaning of induced values. Moreover, we introduce a random variable scheme based on normal distribution for initial chromosomes in GAs, so we can expect to increase the knowledge’s reasonability that is degree of expert’s acceptability. the random variable scheme based on normal distribution uses statistical correlation/determination coefficient that is calculated with training data. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS (Korea Investors Services Financial Analysis System).

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.2
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• pp.139-149
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• 2013

As the importance of technology forecasting while countries and companies manage the R&D project is growing bigger, the methodology of technology forecasting has been diversified. One of the forecasting method is patent analysis. This research proposes quick forecasting process of emerging technology based on keyword approach using text mining. The forecasting process is following: First, the term-document matrix is extracted from patent documents by using text mining. Second, emerging technology keyword are extracted by analyzing the importance of word from utilizing mean values and standard deviation values of the term and the emerging trend of word discovered from time series information of the term. Next, association between terms is measured by using cosine similarity. finally, the keyword of emerging technology is selected in consequence of the synthesized result and we forecast the emerging technology according to the results. The technology forecasting process described in this paper can be applied to developing computerized technology forecasting system integrated with various results of other patent analysis for decision maker of company and country.