• Advances in Energy Research
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• v.5 no.1
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• pp.1-12
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• 2017

The world today has reached a certain level where it is impossible to get the quality education at the tertiary level without the use of Information and Communication Technology (ICT). ICT has made life better, communication easier and faster, teaching and learning more practical through computers and other technology based learning tools. However, despite these benefits ICT has equally contributed immensely to environmental problems. Therefore there is the need to use ICT resources efficiently in universities for environmental sustainability so as to save both the university environment and the world at large from the effects of global warming. This paper evaluates the carbon footprints from the use of ICT devices and comes up with a proposed green ICT framework to reduce the carbon footprints in universities. The framework contains techniques and approaches to achieve greenness in the data center, personal computers (PCs) and monitors, and printing in order to make ICT more environmentally friendly, cheaper, safer and ultimately more efficient. Concerned experts in their respective departments at Asia Pacific University of Technology and Innovation (APU) Malaysia evaluated the proposed framework. It was found to be effective for achieving efficiency, reducing energy consumption and carbon emissions.

• Journal of Agricultural Extension & Community Development
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• v.22 no.3
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• pp.245-260
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• 2015

Since the Discussion on responsible tourism sector began in the 1980s, the interest in responsible tourism has increased. Responsible tourism aims to preserve the local culture and environment, and make the benefits return benefits to local stakeholders. This study aims to obtain an empirical understanding of the responsible tourism market by using a segmentation approach to provide better information for responsible tourism marketers in Korea. A self-administered survey was obtained from 471 tourists in seven responsible tourism sites. As for the motivations of responsible tourism, seven factors ('faimly togetherness', 'escape relaxation', 'personal growth', 'social interaction', 'various experience', 'learning' and 'natural experience') were extracted. Six distinct segments were identified based on the motivation: escape from daily life relaxation seekers (19.15%), overall low motivation (7.8%), family togetherness seekers (21.18%). various experience seekers (12.77%), noverlty learning seekers (22.46%) and want-it-all (16.55%). Socio-demographic characteristics and tourism behaviors of each segmentation were also analyzed. The findings should be of interest to practitioners of responsible tourism marketing and operation.

• Journal of The Korean Association For Science Education
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• v.23 no.4
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• pp.386-400
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• 2003

This paper presents an analysis of the Developmental Approaches in Science, Health and Technology (DASH) program, a K-6 curriculum developed by the Curriculum Research & Development Group (CRDG) at the University of Hawaii employing the curriculum analysis framework created by Posner. Using this framework the analyst found that the DASH design is based on the research on learning, teaching, and assessment now driving efforts to reform science education at the elementary level. DASH embraces the constructivist idea that learning is a personal and social process and the recapitulation model that new concepts are built out of theories previously learned. DASH provides an understandable, exciting, and memorable experience in the operations of science, health, and technology, and develops their capacity to use the skills and knowledge of science, health, and technology both in and outside school. A number of studies of DASH have examined its functionality, effectiveness of pedagogy and what students learn. The innovative nature of DASH necessitated a multidimensional assessment that included both quantitative and qualitative research techniques. Ongoing development of the DASH program in the research setting of a university laboratory school permits ever deeper connections with emerging curriculum theory and curriculum practice, and allows new linkages as ideas are tested in research classrooms.

• Korean Medical Education Review
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• v.17 no.2
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• pp.57-59
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• 2015

Student research has been proposed as an educational strategy to fulfill the current requirements in basic medical education (BME) and to compatible with the self-directed development of professionalism. It is commonly accepted that the goals of student research are to develop the competencies of critical, reflective, and self-directed thinking; problem-solving; and creativity; as well as to acquire the skills necessary to search for information and analyze the literature; to cultivate the talent of mastering a specialized field through deeply intensified learning; and to establish close relationships between students and supervisors. To successfully implement student research, authorities on BME should to plan the procedure for the student research projects and allocate personal and material resources adequately in order to provide the opportunity for self-evaluation and reflection through the completion of daily records, to develop the habit of consistently evaluating one's own study, and to maintain a collegial relationship between students and supervisors by offering the proper feedbacks in a timely and consistent manner. In conclusion, despite several obstacles and difficulties in the establishment of successful student research projects, student research could provide students the motivation to develop themselves into expert academic researchers, and play a role in educating students to help solve patients' problems based on scientific evidence in the future.

• Journal of Korean Society for Quality Management
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• v.45 no.4
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• pp.903-916
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• 2017

Purpose: The paper analyzes empirically the causal relationship between customer-oriented Quality circle activities and Business Performance for Korean service firms. We compare the operational characteristic behavior of the service firms and business performance. Methods: In this study, we used 3 variables, QC activities, Employee commitment and business performance. Especially, Service SME's QC Circle activities were analyzed in related with growth of company on the basis activities such as Leadership(team), improvement activity, Organizational learning, customer-focus activity and employee suggestion. Results: The result of analysis showed that employee commitment affected significantly on financial performance and non-financial performance and in turn, improvement activities, Organizational learning and customer-focus activity affected significantly on business performance (financial and non-financial). Conclusion: In the summary of the characteristics of this study based on the research results, first, segmenting the QCC activities in the service business into 5 elements can be considered to be differentiated from the existing researches in the aspect of utilizing the organization's objective-oriented variables differently from the researches utilized the variables related personal characteristics. Second, this study suggested the recent research results that suggested the problems of the QCC clearly, through which what new QC story approach was suggested has working level value in the aspect of activating the service QCC.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.15-24
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• 2023

One of the objectives and aspirations of scientists and engineers ever since the development of computers has been to interact naturally with machines. Hence features of artificial intelligence (AI) like natural language processing and natural language generation were developed. The field of AI that is thought to be expanding the fastest is interactive conversational systems. Numerous businesses have created various Virtual Personal Assistants (VPAs) using these technologies, including Apple's Siri, Amazon's Alexa, and Google Assistant, among others. Even though many chatbots have been introduced through the years to diagnose or treat psychological disorders, we are yet to have a user-friendly chatbot available. A smart generative cognitive behavioral therapy with spoken dialogue systems support was then developed using a model Persona Perception (P2) bot with Generative Pre-trained Transformer-2 (GPT-2). The model was then implemented using modern technologies in VPAs like voice recognition, Natural Language Understanding (NLU), and text-to-speech. This system is a magnificent device to help with voice-based systems because it can have therapeutic discussions with the users utilizing text and vocal interactive user experience.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.71-81
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• 2016

The purpose of this study was to investigate the effect of ethical leadership on employees' behaviors (deviant behavior and personal initiative) and to explore the moderating roles of self-efficacy and trust in leader in the relationship between ethical leadership and employees' behaviors. This study developed four hypotheses and tested them using regression and hierarchical regression analyses. The results showed that the negative relationship between ethical leadership and deviant behavior and the positive relationship between ethical leadership and personal initiative were statistically supported. And this study found that self-efficacy and trust in leader played moderating roles in the relationship between ethical leadership and employees' behaviors. Based on the findings of the study, this study presented managerial implications and suggestions for future studies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.206-208
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• 2022

As the big data industry has recently developed significantly, interest in privacy violations caused by personal information leakage has increased. There have been attempts to automate this through named entity recognition in natural language processing. In this paper, named entity recognition data is constructed semi-automatically by identifying sentences with de-identification information from de-identification information in Korean Wikipedia. This can reduce the cost of learning about information that is not subject to de-identification compared to using general named entity recognition data. In addition, it has the advantage of minimizing additional systems based on rules and statistics to classify de-identification information in the output. The named entity recognition data proposed in this paper is classified into twelve categories. There are included de-identification information, such as medical records and family relationships. In the experiment using the generated dataset, KoELECTRA showed performance of 0.87796 and RoBERTa of 0.88.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.361-374
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• 2016

The study aims to gain information for developing educational content to support LPSMBs (low-performing students with multicultural backgrounds) in elementary and middle schools. The procedure involved surveying students about their personal characteristics, attitudes related to learning, and learning environment. I analyzed responses from 1,147 students from 200 elementary schools and 3,760 students from 320 middle schools who were LPSMBs and NPSMBs (normally performing students with multicultural backgrounds). LPSMBs in both elementary and middle school showed statistically significant lower scores on most questionnaires related to learning and learning environment than NPSMBs. LPSMBs in elementary schools showed higher scores on teachers' learning support, LPSMBs in middle school showed higher scores on classmates' learning support. LPSMBs born in foreign countries need to be given opportunities to learn Korean as well as their father's and mother's culture. I give suggestions for how to support LPSMBs' learning and learning environment based on the survey results.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.429-440
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• 2001

To achieve a computer tutor framework with high learning effects as well as practicality, the goal of this research has been set to developing an intelligent tutor for problem-solving in mathematics domain. The maine feature of the CyberTutor, a computer tutor developed in this research, is the facilitation of a learning environment interacting in accordance with the learners differing inferential capabilities and needs. The pedagogical information, the driving force of such an interactive learning, comprises of tutoring strategies used commonly in various domains such as phvsics and mathematics, in which the main contents of learning is the comprehension and the application of principles. These tutoring strategies are those of testing learners hypotheses test, providing hints, and generating explanations. We illustrate the feasibility and the behavior of our propose framework with a sample problem-solving learning in geometry. The proposed tutorial framework is an advancement from previous works in several aspects. Firstly, it is more practical since it supports handing of a wide range of problem types, including not only proof types but also finding-unkown tpes. Secondly, it is aimed at facilitating a personal tutor environment by adapting to learners of varying capabilities. Finally, learning effects are maximized by its tutorial dialogues which are derived from real-time problem-solving inference instead of from built-in procedures.