• Journal of the Korean Society for Library and Information Science
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• v.44 no.4
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• pp.131-153
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• 2010

The fusion of learning, information, and technology presents dynamic challenges for all librarians, educators and students in 21st century libraries and schools. At the heart of this fusion is the growth of a pervasive, integrated information environment characterized by vast quantities of digital content, open choice, collaborative and participatory digital spaces, and the transition of the web environments from consumption of information to creation of information. This environment heralds important opportunities for librarians and teachers to rethink, re-imagine and recreate a dynamic approaches to information literacy instruction. Drawing on an extensive body of research undertaken through the Center for International Scholarship in School Libraries (CISSL), and published research on both information literacy and constructivist learning, this paper provides a critical examination of the current status of information literacy: its multiple conceptualizations, competing models, viewpoints, and its operationalizations in educational and library environments. The paper will challenge information literacy practices which center on simplistic, reductionist approaches to information literacy development, and the separation of information process and knowledge content. In particular it will address apparent contradictions in espoused conceptions of information literacy which revolve around "knowledge": knowledge construction, critical thinking, problem solving and the development of knowledgeable people; and information literacy practices which revolve around "information": a predominant focus on skills of access and evaluation of resources and with less attention given to engaging with found information to develop deep knowledge and understanding. The paper will present a series of challenges for moving forward with information literacy agendas in libraries and schools.

• Proceedings of the Technology Innovation Conference
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• 1998.06a
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• pp.226-249
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• 1998

Technology diffusion policy can be defined as the role of government in linking knowledge production with usage. It has an importance due to the fact that linking knowledge between the producing agent and using agent does not automatically occur. If knowledge produced by an R&D agent is not used by somebody else, the knowledge may deteriorate to a social loss since knowledge production consumes a considerable degree of social resources. Explicit technology diffusion policies are not found in Korea. There we, however, a number of implicit policies to promote technology diffusion, mainly by promoting cooperation among universities, industries and research institutes. Government R&D programs have provided incentives for cooperative research projects, and many government sponsored institutes have been assigned the role of technology assistance for small and medium sized firms. Nevertheless, diffusion policies remain weak in comparison to other innovation and technology policies. This is reflected in the relatively small scale of government support for technology diffusion programs. In addition, there is no systematic approach between the different ministries for enhancing diffusion across technologies, institutions, sectors and regions. A comprehensive evaluation of government diffusion programs, which is necessary for improving policy and program design, is lacking. Enhancing the diffusion of technology in Korea will require the strengthening of policies at different levels, including; 1) increasing the orientation of science and technology policies towards diffusion; 2) increasing the scale of existing diffusion programs; 3) developing new diffusion programs, in particular sector-specific or manpower training programs; 4) developing policies to encourage a culture of cooperation that can facilitate technology diffusion; and 5) carrying out substantial policy research to develop diffusion policies.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.4
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• pp.117-125
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• 2018

As various types of information technology systems are becoming more pervasive than ever, many studies have evaluated the systems from the user perspective. Some of them have used surveys to measure consumers' cognitive responses to the target technology. However, this method may cause problems if the survey participants do not have a useful frame of reference for evaluating an unfamiliar system. To examine this issue, the current study empirically tested the effect of personal product knowledge on the predictability of a behavioral model, such as Technology Acceptance Model. A series of measurement invariance tests as well as multi-group comparison tests were conducted for rigorous examination of the data. Our analysis showed that the variance of attitude that is explained by the two believes (perceived usefulness and ease of use) was relatively small when the survey respondents had lower amount of product knowledge. Moreover, the group had weaker causal relationship between attitude and intention to use the technology, hindering the predictability of the research model. The results indicated that respondents should have a certain amount of knowledge of the target system in order to form accurate beliefs and behavioral decisions. The findings of this study provide important implications on sampling strategies for researchers with new technology.

• ETRI Journal
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• v.33 no.4
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• pp.600-610
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• 2011

This paper presents a novel approach to face detection by localizing faces as the goal-specific saliencies in a scene, using the framework of selective visual attention of a human with a particular goal in mind. The proposed approach aims at achieving human-like robustness as well as efficiency in face detection under large scene variations. The key is to establish how the specific knowledge relevant to the goal interacts with the bottom-up process of external visual stimuli for saliency detection. We propose a direct incorporation of the goal-related knowledge into the specification and/or modification of the internal process of a general bottom-up saliency detection framework. More specifically, prior knowledge of the human face, such as its size, skin color, and shape, is directly set to the window size and color signature for computing the center of difference, as well as to modify the importance weight, as a means of transforming into a goal-specific saliency detection. The experimental evaluation shows that the proposed method reaches a detection rate of 93.4% with a false positive rate of 7.1%, indicating the robustness against a wide variation of scale and rotation.

• Journal of The Korean Association For Science Education
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• v.20 no.1
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• pp.101-111
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• 2000

The present study was carried out to investigate the actual condition of the evaluation of science learning in the secondary school, and to develop the basic data for the improvement of the science learning assessment. Various questions for three evaluative domains were asked to 51 science teachers with the questionnaire during the in-service training course for certificate on summer in 1998. The cognition of the table of specification appeared high as 98% responses to the questionnaire, but the teachers' ability to distinguish behavioral elements was low as 47% responses. The evaluative rate of three domains for knowledge, skill and attitude appeared as 45%, 35% and 20% evaluation in both diagnostic and formative evaluation and 40%, 40% and 20% evaluation in summative evaluation. The evaluation of process skill appeared a tendency depending on laboratory reports as 61%, and was higher rather than in the formative evaluation or summative evaluation. In the evaluation of attitude domain, about a half of teachers answered that they evaluated the domain with laboratory reports as 43%, and some teachers evaluated the domain with teacher's observation as 33%. Also there were a few teachers who did not evaluate the attitude domain as 8%. The rate for the elements of the process skill appeared 86% responses in the interpretation of data, 31% in the observative ability, 18% in the predictive ability, 14% in the classified ability, 12% in the measuring and data-investigating ability, 4% in the discussion ability, and 2% in the investigating ability. We could find out that many teachers had given higher rate in the evaluation of process skill and attitude rather than before the present study, therefore there was more improvement in the evaluation for process skill and attitude domain after the 6th curriculum.

• Journal of Science Education
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• v.46 no.1
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• pp.17-29
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• 2022

The purpose of this study is to look qualitatively into how efficiently and reasonably a computer can learn themes related to the Nature of Science (NOS). In this regard, a corpus has been constructed focusing on literature (920 abstracts) related to NOS, and factors of the optimized Word2Vec (CBOW, Skip-gram) were confirmed. According to the four dimensions (Inquiry, Thinking, Knowledge and STS) of NOS, the comparative evaluation on the word-level word embedding was conducted. As a result of the study, according to the previous studies and the pre-evaluation on performance, the CBOW model was determined to be 200 for the dimension, five for the number of threads, ten for the minimum frequency, 100 for the number of repetition and one for the context range. And the Skip-gram model was determined to be 200 for the number of dimension, five for the number of threads, ten for the minimum frequency, 200 for the number of repetition and three for the context range. The Skip-gram had better performance in the dimension of Inquiry in terms of types of words with high similarity by model, which was checked by applying it to the four dimensions of NOS. In the dimensions of Thinking and Knowledge, there was no difference in the embedding performance of both models, but in case of words with high similarity for each model, they are sharing the name of a reciprocal domain so it seems that it is required to apply other models additionally in order to learn properly. It was evaluated that the dimension of STS also had the embedding performance that was not sufficient to look into comprehensive STS elements, while listing words related to solution of problems excessively. It is expected that overall implications on models available for science education and utilization of artificial intelligence could be given by making a computer learn themes related to NOS through this study.

• Journal of the Korean School Mathematics Society
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• v.8 no.1
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• pp.1-17
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• 2005

The purpose of this paper was to investigate the mathematical knowledge and perspective of elementary school teachers in the development and evaluation of students' mathematical tests, analyse test questions, and suggest several principles for the several issues of making and evaluating test-questions. The researcher surveyed 268 elementary school teachers who attended a teachers training program at the A university during January, 2005. The data were analysed by the patterns. The patterns were ambiguity or uncorrectly-described test questionnaires, wrong interpretation of students' responses by the teachers, teacher's deficiency of student' levels and perspectives of mathematics, problematic questionnaires against test-making method, and so forth. Teachers are encourages to cross check to avoid the above problems, to have a strong mathematical knowledge, and to see students' mathematical answers in a flexible manners.

• Korean Journal of Community Nutrition
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• v.17 no.5
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• pp.517-529
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• 2012

The purpose of the study was to implement and evaluate a nutrition education program for preschool children. Applying the PRECEDE-PROCEED model, the nutrition education program was developed and focused on changing beliefs, increasing nutrition knowledge and consumption of vegetables & fruits (V/F) and dairy foods. Subjects were children attending a childcare center in Seoulwho were grouped into education (n = 33) and control group (n = 32). Education group received four sessions of nutrition education during 2011 fall. Both groups completed the questionnaire at pretest and posttest, measuring nutrition knowledge, beliefs, and preferences of V/F and eating behaviors. Compared to control group, education group made significant gains in total score of nutrition knowledge after the education (p < 0.05). In addition, the pretest-posttest changes in total score of beliefs regarding V/F consumption and eating behaviors were higher in the education group than in the control group (p < 0.05). Two groups were significantly different in the pretest-posttest changes in specific beliefs regarding the benefits of V/F consumption and some eating behavior. However, there were no changes in the preferences of vegetables or fruits between the two groups after the education. The consumption of V/F and dairy foods was not significantly different after the education. This study revealed that nutrition education for preschoolers was effective in improving nutrition knowledge and perceived benefits regarding V/F consumption and specific eating behavior. This study suggested that more intensive education is needed to induce changes in eating behaviors. This program can be used in nutrition education of children at the childcare centers or kindergartens.

• School Mathematics
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• v.17 no.1
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• pp.119-134
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• 2015

The purpose of this study was to specify knowledge and skills that are expected to be learned by students worldwide at the elementary level of Mathematics. This was achieved by extracting knowledge and skills commonly expected to know and perform in elementary school level by analyzing elementary math curriculum of twelve countries that vary geographically and economically. Based on the data gathered and analyzed, the common domains extracted from this study in elementary level Mathematics include Number and Operations, Geometry, Measurement and Data. And knowledge and skills that children are expected to achieve in each domain by the end of primary school were listed. This research showed that for elementary level Mathematics, the majority of the curricula had the commonalities in Number and Operations, Geometry, Measurement and Data. Though this study had the limitations of analyzing curriculum documents open to public, this study will offer the ground for discussion on the elementary mathematics education in a global context.

• Journal of Intelligence and Information Systems
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• v.12 no.1
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• pp.57-73
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• 2006

This paper describes a methodology for automating the material handling equipment (MHE) evaluation and selection processes by combining knowledge-based rules and fuzzy multi-criteria decision making approach. The methodology is proposed to solve the MHE selection problems under fuzzy environment. At the primary stage, the most appropriate MHE type among the alternatives for each material flow link is searched. Knowledge-based rules are employed to retrieve the alternatives for each material flow link. To consider and compare the alternatives, multiple design factors are considered. These factors include both quantitative and qualitative measures. The qualitative measures are converted to numerical measures using fuzzy logic. The concept of fuzzy logic is applied to evaluation matrices used for the selection of the most suitable MHE through a fuzzy linguistic approach. Thus, this paper demonstrates the potential applicability of fuzzy theory in the MHE applications and provides a systemic guidance in the decision-making process.