• 제목/요약/키워드: innovative learning technologies

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2009-2022 Thailand public perception analysis of nuclear energy on social media using deep transfer learning technique

  • Wasin Vechgama;Watcha Sasawattakul;Kampanart Silva
    • Nuclear Engineering and Technology
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    • 제55권6호
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    • pp.2026-2033
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    • 2023
  • Due to Thailand's nuclear energy public acceptance problem, the understanding of nuclear energy public perception was the key factor affecting to re-consideration of the nuclear energy program. Thailand Institute of Nuclear Technology and its alliances together developed the classification model for the nuclear energy public perception from the big data comments on social media using Facebook using deep transfer learning. The objective was to insight into the Thailand nuclear energy public perception on Facebook social media platform using sentiment analysis. The supervised learning was used to generate up-to-date classification model with more than 80% accuracy to classify the public perception on nuclear power plant news on Facebook from 2009 to 2022. The majority of neutral sentiments (80%) represented the opportunity for Thailand to convince people to receive a better nuclear perception. Negative sentiments (14%) showed support for other alternative energies due to nuclear accident concerns while positive sentiments (6%) expressed support for innovative nuclear technologies.

과정중심평가를 위한 국가별 학교 평가혁신 사례분석 (Analysis of Process-focused, Innovative Assessment Cases in Australia, Singapore, the U.S.A. and Korea)

  • 강지혜;이지연
    • 한국IT서비스학회지
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    • 제18권3호
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    • pp.143-154
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    • 2019
  • The purpose of this study is to explore innovative adaptation of IT systems worldwide to support process-focus assessment. To this end, the study presents four cases from Australia, Singapore, the U.S.A., and Korea to inform educational policy and technology researchers and practitioners. Based on comparing the four chosen cases as benchmarks, the study concluded that IT systems and technologies can expedite and improve school interventions to enhance student learning in terms of time and quality. Also, educational big data and learning analytics can be used to systematically monitor and communicate individual student's progress among school stakeholders (i.e., teachers, students, parents, and administrators). Lastly, the study made some suggestions to support process-focused assessment in schools as following : 1) A more evidence-based, systems approach is needed to integrate the curriculum, instruction, and assessment to bridge the gap between educational policy and school practice; 2) It is critical to create ICT-friendly school environments so that meaningful data could be collected, analyzed, and stored from individual students and school units; 3) Teacher professional development is another area that needs special considerations and support to successfully implement process-focused assessment in schools.

The Smart Platform for Understanding the Extraordinary of the Our'an

  • Almarhabi, Khalid Ali
    • International Journal of Computer Science & Network Security
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    • 제21권12호
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    • pp.29-34
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    • 2021
  • The Qur'an is regarded as the holy book by Islam followers; they assert that God wants humankind to understand its meanings and implement best practices. Numerous individuals have attempted to understand the meaning of its verses and explore its Extraordinary Vocabulary; however, few people successfully studied and researched the different meanings of that holy text. Only a limited segment of the society comprising scholars, students, and intellectuals have grasped the teachings of the Qur'an. A majority of the general population, specifically youngsters, spend ample time using mobile phones. In this context, many innovative educational platforms have recently been launched to attract the general public to learn and use knowledge. Research has provided the positive impact of such smart platforms. This concept is about an innovative smartphone platform to help users understand and reason the Qur'an by helping with the book vocabulary explained by expert scholars. This work proposes creating an engaging digital format using innovative technologies. This idea is inspired by youngsters who demonstrate an immense interest in online learning. Qur'an vocabulary is the prerequisite to building a better understanding that allows users to get precise meaning.

Pedagogical Innovations: Problems, Tendencies of Development of Modern Education

  • Dziubenko, Iryna;Semenog, Olena;Lokshyna, Olena;Dzhurylo, Alina;Hlushko, Oksana;Starokozhko, OIga
    • International Journal of Computer Science & Network Security
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    • 제21권9호
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    • pp.173-178
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    • 2021
  • The article reveals the essence of the concept of "pedagogical innovation" and identifies trends in the development of a modern educational institution. A qualitative analysis of the scientific literature in the field of innovation science has been carried out. The essence of the concept of "pedagogical innovation" is revealed. The modern classification of pedagogical innovations is given. The factors of the success of the introduction of pedagogical innovations are determined. The main trends in the development of modern educational institutions are outlined.

로봇수술의 현재와 미래 (The Present and Future of Robotic Surgery)

  • 나군호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2008년도 학술대회 논문집 정보 및 제어부문
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    • pp.68-70
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    • 2008
  • Since the beginning of the 21st century, the emergence of innovative technologies made further advances in minimal access surgery possible. Robotic surgery and telepresence surgery effectively addressed the limitations of laparoscopic procedures, thus revolutionizing minimal access surgery. Surgical robots provide surgeons with to technologically advanced vision and hand skills. As a result, such systems are expected to revolutionize the field of surgery. In that time, much progress has been made in integrating robotic technologies with surgical instrumentation. However, robotic surgery will not only require special training, but it will also change the existing surgical training pattern and reshape the learning curve by offering new solutions, such as robotic surgical simulators and robotic telementoring. This article provides an introduction to medical robotic technologies, develops a possible classification, reviews the evolution of a surgical robot, and discusses future prospects for innovation. In the future, surgical robots should be smaller, less expensive, easier to operate, and should seamlessly integrate emerging technologies from a number of different fields. We believe that, in the near future as robotic technology continues to develop, almost all kinds of endoscopic surgery will be performed by this technology.

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온라인(on-line) 교육훈련의 효과성에 관한 연구 (A Study of On-line Education on Training Effectiveness)

  • 남기찬;임효창;황국재
    • 한국경영과학회지
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    • 제27권1호
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    • pp.75-94
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    • 2002
  • The development of Information technologies huts contributed on-line training as one of important education methods. On-line training In firms, which is similar to e-learning or virtual education, provides trainees with more education opportunities in diverse ways. It has developed a range of innovative services with an one-stop solution of education within the electronic sector. Also under the on-line training environment, trainees can undertake customized training packages at anytime and any places. Moreover, information technology allows both the trainers and other trainees to be decoupled in any of the elements of time, place, and space. Two research questions are investigated : what are the determinants affecting the on-line training effectiveness and how those variables effect the two aspects of training effectiveness: learning performance and transfer performance. Based on the previous literature conducted on the traditional training environment, the determinants of training effectiveness are derived. light hypotheses are developed based on literature reviews and tested by questionnaires survey data. The collected data have been analyzed by LISREL. It is found that the relationship between individual, organizational and on-line sloe design variables and training effectiveness (learning and transfer) are significant. The contribution and limitations of this research are also discussed tilth future studies.

Enhancing cloud computing security: A hybrid machine learning approach for detecting malicious nano-structures behavior

  • Xu Guo;T.T. Murmy
    • Advances in nano research
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    • 제15권6호
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    • pp.513-520
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    • 2023
  • The exponential proliferation of cutting-edge computing technologies has spurred organizations to outsource their data and computational needs. In the realm of cloud-based computing environments, ensuring robust security, encompassing principles such as confidentiality, availability, and integrity, stands as an overarching imperative. Elevating security measures beyond conventional strategies hinges on a profound comprehension of malware's multifaceted behavioral landscape. This paper presents an innovative paradigm aimed at empowering cloud service providers to adeptly model user behaviors. Our approach harnesses the power of a Particle Swarm Optimization-based Probabilistic Neural Network (PSO-PNN) for detection and recognition processes. Within the initial recognition module, user behaviors are translated into a comprehensible format, and the identification of malicious nano-structures behaviors is orchestrated through a multi-layer neural network. Leveraging the UNSW-NB15 dataset, we meticulously validate our approach, effectively characterizing diverse manifestations of malicious nano-structures behaviors exhibited by users. The experimental results unequivocally underscore the promise of our method in fortifying security monitoring and the discernment of malicious nano-structures behaviors.

Building a Business Knowledge Base by a Supervised Learning and Rule-Based Method

  • Shin, Sungho;Jung, Hanmin;Yi, Mun Yong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권1호
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    • pp.407-420
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    • 2015
  • Natural Language Question Answering (NLQA) and Prescriptive Analytics (PA) have been identified as innovative, emerging technologies in 2015 by the Gartner group. These technologies require knowledge bases that consist of data that has been extracted from unstructured texts. Every business requires a knowledge base for business analytics as it can enhance companies' competitiveness in their industry. Most intelligent or analytic services depend a lot upon on knowledge bases. However, building a qualified knowledge base is very time consuming and requires a considerable amount of effort, especially if it is to be manually created. Another problem that occurs when creating a knowledge base is that it will be outdated by the time it is completed and will require constant updating even when it is ready in use. For these reason, it is more advisable to create a computerized knowledge base. This research focuses on building a computerized knowledge base for business using a supervised learning and rule-based method. The method proposed in this paper is based on information extraction, but it has been specialized and modified to extract information related only to a business. The business knowledge base created by our system can also be used for advanced functions such as presenting the hierarchy of technologies and products, and the relations between technologies and products. Using our method, these relations can be expanded and customized according to business requirements.

A Web-Based Domain Ontology Construction Modelling and Application in the Wetland Domain

  • Xing, Jun;Han, Min
    • 한국멀티미디어학회논문지
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    • 제10권6호
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    • pp.754-759
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    • 2007
  • Methodology of ontology building based on Web resources will not only reduce significantly the ontology construction period, but also enhance the quality of the ontology. Remarkable progress has been achieved in this regard, but they encounter similar difficulties, such as the Web data extraction and knowledge acquisition. This paper researches on the characteristics of ontology construction data, including dynamics, largeness, variation and openness and other features, and the fundamental issue of ontology construction - formalized representation method. Then, the key technologies used in and the difficulties with ontology construction are summarized. A software Model-OntoMaker (Ontology Maker) is designed. The model is innovative in two regards: (1) the improvement of generality: the meta learning machine will dynamically pick appropriate ontology learning methodologies for data of different domains, thus optimizing the results; (2) the merged processing of (semi-) structural and non-structural data. In addition, as known to all wetland researchers, information sharing is vital to wetland exploitation and protection, while wetland ontology construction is the basic task for information sharing. OntoMaker constructs the wetland ontologies, and the model in this work can also be referred to other environmental domains.

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스마트 환경에서의 교사와 학생의 스마트 소양 척도 개발 연구 (A Study on Development of Smart Literacy Standards of Teachers and Students in Smart Learning Environments)

  • 전우천;홍석기
    • 인터넷정보학회논문지
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    • 제14권6호
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    • pp.59-70
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    • 2013
  • 최근 정보통신기술의 발달과 더불어 다양한 혁신적인 기술이 개발되고 있다. 이러한 기술은 우리의 모든 삶의 방식을 변화시키고 있다. 특히 스마트기술은 우리의 삶을 극적으로 바꾸어 놓고 있다. 스마트폰과 테브릿 PC등 스마트 기기들은 교육분야에 활용되어 소위 "스마트 러닝"이라는 개념이 탄생되어 교육분야에 적용되고 있다. 현재 스마트러닝은 교육분야에 스마트기기의 확산과 더불어 활발하게 진행되고 있다. 이러한 스마트 환경에서 개인의 소양능력을 구분하기 위해서 스마트 소양 척도가 필요하다. 하지만 현재까지 스마트 소양 척도에 대한 연구는 미미한 실정이다. 본 연구의 목적은 스마트 러닝 환경에서 교사와 학생의 스마트 소양 척도를 개발하는 것이다. 본 연구의 스마트 소양척도는 기존의 ICT 소양척도를 기반으로 개발되었다. 본 연구의 스마트 소양 척도는 4개의 분야로 구성되어 있다. 즉 스마트 교육, 스마트 소양, 스마트 활용 및 스마트 윤리이다. 스마트 소양 척도를 개발하기 위해서 교수, 교사 및 연구원 등 다양한 전문가집단을 대상으로 설문조사를 실시하였다. 설문결과는 광범위한 통계처리를 통해 최종적인 스마트 소양 척도가 개발되었다.