• Educational Technology International
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• v.25 no.1
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• pp.67-92
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• 2024

This study aims to verify the practical effectiveness of learning management system (LMS) by introducing a LMS enhancing digital assessment utilizing automatic item generation in order to strengthen college student's mathematics performance. Teaching assisted with digital assessment in the LMS was applied to college mathematics classes, and the research question is whether or not students in the classes utilizing the LMS perform better than the regular classes. In particular, a calculus course, which is the foundation of important artificial intelligence technology in the future, was utilized in this study. The participants of this study were 248 freshmen in science and engineering who were taking calculus courses at a small to mid-size university. A total of 156 freshmen were selected after applying a propensity score matching method (PSMM), 78 from classes utilizing the LMS and 78 from regular classes without the LMS assisted with the digital assessment. As a result, it was found that there was a statistically significant difference in the math academic growth of students who used the LMS and those who did not. In other words, when LMS was used in calculus, students' academic growth was greater. The results of this study are meaningful in that they observed students' academic growth and confirmed that LMS enables a positive role in students' academic growth. In addition, if digital assessment is strengthened and LMS that enables individualized learning analysis is introduced and implemented in educational institutions, it is expected to play a major role in strengthening students' academic performance.

• Knowledge Management Research
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• v.12 no.1
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• pp.17-37
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• 2011

This paper is aimed at investigating the influence of the learning organization's structural characteristics, learner's characteristics, and perceived organizational support (POS) on organizational knowledge creation. also the POS is tested as a moderator on the relationship between learner's characteristics including learning goal orientation and learning self-efficacy and organizational knowledge creation. the results are as follows. for main effect hypotheses, both connecting the organization to its environment and establishing systems to capture and share learning system representing learning organization's structural characteristics have significant positive impact on organizational knowledge creation. the POS also has a significant impact on organizational knowledge creation. However, learning goal orientation and learning self-efficacy have not significant impact on organizational knowledge creation. for moderating effect hypothesis, POS moderates the relationship between learning goal orientation and organizational knowledge creation, which means if the POS is high then learning goal orientation has more significant positive impact on it. Based on our findings, we conclude that structural characteristics of learning organization provide organizations with an opportunity of knowledge creation. in particular, interconnectedness of organization with environment and organizational knowledge sharing systems determine the ways of behaving that are related to learning within organizations. however, learner's characteristics did not have a significant effect on organizational knowledge creation, which could be interpreted due to the fact that employees are not motivated to create new knowledge if they are rarely required to involve challenging works, generate new knowledge, or share preexisted knowledge with others.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.581-584
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• 2013

E-Learning, a technology-based learning process is the obtaining of knowledge from the basis of IT technology. The development of e-Learning requires corporate educational staff as well as HR staff, who manage e-learning, to drastically change their roles. The main reason for this is that the properly adapted and highly experienced education and training abilities of HR staff could accelerate the adoption and usage of e-Learning but they need to clearly select and define an appropriate curriculum from among the extensive mass-customized content with an e-learning basis. Here the research has analyzed the influence of the introduction and usage of e-Learning in hotels on HR staff and their roles from the viewpoint of hermeneutic phenomenology.

• 한국어정보학회:학술대회논문집
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• 2016.10a
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• pp.111-116
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• 2016

의미역은 자연어 문장의 서술어와 관련된 논항의 역할을 설명하는 것으로, 주어진 서술어에 대한 논항인식(Argument Identification) 및 분류(Argument Labeling)의 과정을 거쳐 의미역 결정(Semantic Role Labeling)이 이루어진다. 이를 위해서는 격틀 사전을 이용한 방법이나 말뭉치를 이용한 지도 학습(Supervised Learning) 방법이 주를 이루고 있다. 이때, 격틀 사전 또는 의미역 주석 정보가 부착된 말뭉치를 구축하는 것은 필수적이지만, 이러한 노력을 최소화하기 위해 본 논문에서는 비모수적 베이지안 모델(Nonparametric Bayesian Model)을 기반으로 서술어에 가능한 의미역을 추론하는 비지도 학습(Unsupervised Learning)을 수행한다.

• Journal of The Korean Association For Science Education
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• v.32 no.3
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• pp.502-523
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• 2012

The purpose of this study is to explore the relationship between selected components of conceptual ecology that are reflected in high school science students' statements, when answering questions. This study follows from a position that there is reason to believe that, in the process of answering questions, many aspects of conceptual ecology are likely to play a role. Data were gathered through six audio-taped interviews, the science teacher's profiles of each student, the students' personal journals, their assignments, and their examinations and participation in class. Kay and KY were selected as the focus of this study because theirs were both dramatic as well as representative cases. As the findings suggest, learning styles differ according to distinctions within individuals' conceptual ecologies. Thus the way in which a person learns science varies according to the construction of her/his conceptual ecology. This suggests that different forms of pedagogy may be effective with different types of learners. This also suggests that science educators may have a role in assisting students to develop into constructed, rather than received, learners.

• Annual Conference on Human and Language Technology
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• 2016.10a
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• pp.111-116
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• 2016

의미역은 자연어 문장의 서술어와 관련된 논항의 역할을 설명하는 것으로, 주어진 서술어에 대한 논항 인식(Argument Identification) 및 분류(Argument Labeling)의 과정을 거쳐 의미역 결정(Semantic Role Labeling)이 이루어진다. 이를 위해서는 격틀 사전을 이용한 방법이나 말뭉치를 이용한 지도 학습(Supervised Learning) 방법이 주를 이루고 있다. 이때, 격틀 사전 또는 의미역 주석 정보가 부착된 말뭉치를 구축하는 것은 필수적이지만, 이러한 노력을 최소화하기 위해 본 논문에서는 비모수적 베이지안 모델(Nonparametric Bayesian Model)을 기반으로 서술어에 가능한 의미역을 추론하는 비지도 학습(Unsupervised Learning)을 수행한다.

• Korean Medical Education Review
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• v.18 no.2
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• pp.47-50
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• 2016

Development of artificial intelligence is expected to revolutionize today's medicine. In fact, medicine was one of the areas to which advances in artificial intelligence technology were first applied. Recently, state-of-the-art artificial intelligence, especially deep learning technology, has been actively utilized to treat cancer patients and analyze medical image data. Application of artificial intelligence has the potential to fundamentally change various aspects of medicine, including the role of human doctors, the clinical decision-making process, and even overall healthcare systems. Facing such fundamental changes is unavoidable, and we need to prepare to effectively integrate artificial intelligence into our medical system. We should re-define the role of human doctors, and accordingly, medical education should also be altered. In this article, we will discuss the current status of artificial intelligence in medicine and how we can prepare for such changes.

• International journal of advanced smart convergence
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• v.11 no.4
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• pp.47-56
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• 2022

Recently bank card number recognition plays an important role in improving payment efficiency. In this paper we propose a new bank-card number identification algorithm. The proposed algorithm consists of three modules which include edge detection, candidate region generation, and recognition. The module of 'edge detection' is used to obtain the possible digital region. The module of 'candidate region generation' has the role to expand the length of the digital region to obtain the candidate card number regions, i.e. to obtain the final bank card number location. And the module of 'recognition' has Convolutional deep learning Neural Network (CNN) to identify the final bank card numbers. Experimental results show that the identification rate of the proposed algorithm is 95% for the card numbers, which shows 20% better than that of conventional algorithm or method.

• Journal of Educational Research in Mathematics
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• v.25 no.2
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• pp.139-155
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• 2015

This study aimed to investigate teacher learning in the context of a community. For the purpose of this study, two research questions about the kinds of teacher noticing in a community and the role of partnership were addressed. To build a learning community, a professional development project, PRIME, established partnerships with 11 high schools and one of the cluster meetings were investigated in this study. Three mentor teachers, three preservice teachers, and one university supervisor participated in the cluster meeting. For this study, the multiple data such as audio tapes of cluster meetings, observation notes, and interviews were analyzed using the analysis of narratives. The results showed that the participants engaged in different kinds of noticing of their own beliefs about teaching and learning, teacher practices, and teacher identities including noticing of students' understanding in classroom situations. The partnership played the crucial role of reinforcing relationships among teachers, assigning tasks, and creating various communities.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.1
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• pp.217-239
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• 2006

21st century is a knowledge and information society. Keeping pace with this global environment change. people demand various roles from a library First, they demand to play a role of an 'Information Connector' rather than a traditional role of a 'Book Container'. Second, they demand to be the place of the social integration for a solution to the information and learning gap and the place for a life-long learning for HRD(Human Resources Development) by the community unit. In addition, not only introducing a system of 'Deputy Prime Minister and Minister of Education & HRD' for national HRD and 'Five-Day Week' but the advent of 'an Aging Society' demand a change of a library. This study researches roles of a library inseparably related to such new paradigms in the life-long learning society as the knowledge. information, five-day week. aging and HRD, and shows the right direction of a library to pursue in the future.