• Title/Summary/Keyword: Assessment Framework

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Quality Indicators of ICT-Related Support for Blended-Learning in Traditional Universities

  • CHOI, Kyoung Ae;KIM, Dongil;PARK, Chunsung
    • Educational Technology International
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    • v.6 no.1
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    • pp.81-101
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    • 2005
  • Campus-based universities have provided face-to-face instruction traditionally. But recently, it is becoming a trend that they provide blended learning which combines e-learning and f2f instruction. Therefore, traditional university has been installing the ICT related convenience for the faculty and students to use easily to their classes. The purpose of this study is to develop quality indicators of ICT-related support for proper blended learning in traditional campus-based universities. This indicators are used for measuring the quality of ICT-related services at university level for quality education. To this end, first, we reviewed literature about quality indicators of university evaluation and e-learning. Second,we did case study. We selected and analyzed one university for a case, And we identified what elements are perceived important to faculty for more efficient use of technology to their class. Third, we summarized all this data and established the quality indicators framework of ICT-related components for blended learning in campus-based universities. Then, these indicators were revised after the expert evaluation. And then 10 experts and practitioners scored importance rating. Finally, we sum them up to 17 indicators and 48 sub-indicators in three phases (input, process, output). Among them, e-learning related organization or body, usability of Learning Management System, and quality assessment system got the highest scores. These indicators are supposed to contribute to measure the quality of ICT-related environment for blended learning and to provide informations about what is required for efficient blended learning in the campus-based universities.

Non-pharmacological Interventions for Chronic Pain in Older Adults in Long-term Care Facilities: A Scoping Review (장기요양시설 노인의 만성통증 관리를 위한 비약물적 중재: 주제범위 문헌고찰)

  • Kyung-Hye Hwang;Hyekyung Kim;Cho, Ok-Hee
    • Journal of Home Health Care Nursing
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    • v.30 no.3
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    • pp.298-310
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    • 2023
  • Purpose: This study synthesized the literature on non-pharmacological interventions for chronic pain in older adults in long-term care facilities. Methods: Scoping review and thematic analysis methods were combined. On June 1, 2023, searches of primary electronic databases, including PubMed, Embase, PsycINFO, CINAHL DBpia, KMbase, NDSL, and RISS, were performed, restricting the publication date from January 1, 2010 to December 31, 2022. Guidelines from the Joanna Briggs Institute were used as a framework to set and conduct the scoping review. Results: The review identified 1,095 abstracts, from which 14 studies were included in the review. Consequent to the study, there were 10 randomized controlled experimental study designs, and 6 out of 14 studies were conducted in China. The numeric rating scale was widely used for pain assessment. Exercise intervention was provided in 7 studies and physiotherapy was provided in three studies. The outcome variables measured were pain self-efficacy, physical functions, and depression. Conclusion: This comprehensive overview guided nursing staff in long-term care facilities for planning and intervention of effective non-pharmacological interventions for chronic pain in the elderly.

Test and Evaluation Procedures of Defense AI System linked to the ROK Defense Acquisition System (국방획득체계와 연계한 국방 인공지능(AI) 체계 시험평가 방안)

  • Yong-Bok Lee;Min-Woo Choi;Min-ho Lee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.4
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    • pp.229-237
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    • 2023
  • In this research, a new Test and Evaluation (T&E) procedure for defense AI systems is proposed to fill the existing gap in established methodologies. This proposed concept incorporates a data-based performance evaluation, allowing for independent assessment of AI model efficacy. It then follows with an on-site T&E using the actual AI system. The performance evaluation approach adopts the project promotion framework from the defense acquisition system, outlining 10 steps for R&D projects and 9 steps for procurement projects. This procedure was crafted after examining AI system testing standards and guidelines from both domestic and international civilian sectors. The validity of each step in the procedure was confirmed using real-world data. This study's findings aim to offer insightful guidance in defense T&E, particularly in developing robust T&E procedures for defense AI systems.

Stochastic identification of masonry parameters in 2D finite elements continuum models

  • Giada Bartolini;Anna De Falco;Filippo Landi
    • Coupled systems mechanics
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    • v.12 no.5
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    • pp.429-444
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    • 2023
  • The comprehension and structural modeling of masonry constructions is fundamental to safeguard the integrity of built cultural assets and intervene through adequate actions, especially in earthquake-prone regions. Despite the availability of several modeling strategies and modern computing power, modeling masonry remains a great challenge because of still demanding computational efforts, constraints in performing destructive or semi-destructive in-situ tests, and material uncertainties. This paper investigates the shear behavior of masonry walls by applying a plane-stress FE continuum model with the Modified Masonry-like Material (MMLM). Epistemic uncertainty affecting input parameters of the MMLM is considered in a probabilistic framework. After appointing a suitable probability density function to input quantities according to prior engineering knowledge, uncertainties are propagated to outputs relying on gPCE-based surrogate models to considerably speed up the forward problem-solving. The sensitivity of the response to input parameters is evaluated through the computation of Sobol' indices pointing out the parameters more worthy to be further investigated, when dealing with the seismic assessment of masonry buildings. Finally, masonry mechanical properties are calibrated in a probabilistic setting with the Bayesian approach to the inverse problem based on the available measurements obtained from the experimental load-displacement curves provided by shear compression in-situ tests.

CRITIAL SUCCESS FACTORS FOR PROJECT MANAGEMENT INFORMATION SYSTEM IN CONSTRUCTION

  • Jung Ho Yu;Seul Ki Lee
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.498-503
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    • 2011
  • With a focus on different aspects of PMIS in construction projects, various sets of critical success factors (CSFs) have been suggested in the literature such as IS Success Model by various researchers. It is crucial to explore the relative importance and groupings of these factors. This paper aims to identify CSFs associated with Project Management Information System (PMIS) in construction projects, and explore their ranking and underlying relationship. CSFs for PMIS identified through a literature review, and consolidated by interviews and pilot studies with professionals in construction industry. A questionnaire instrument was sent out to experienced users (Construction Manager and Constructor) in Korea, and 253 completed questionnaires were retrieved. To increase the generalizability of the results, the respondents were spread across construction site. Using factor analysis and considering the high importance of the factor, CSFs were grouped into three dimensions. All these three groupings and their relationship were included in a framework for successful PMIS in construction projects. These findings help to clarify what the high prioritized factors are, and could also be used as an assessment tool to evaluate the performance of PMIS and thus help to identify areas for improvement.

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Distribution of Product Value Chain: Do Farmers Receive the Lowest Benefits? The Case of Snubnose Pompano Fishery

  • Duy Ngoc NGUYEN;Nga Thi NGUYEN;Ngoc Van NGUYEN;Chau Minh HO
    • Journal of Distribution Science
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    • v.22 no.6
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    • pp.45-56
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    • 2024
  • Purpose: This study utilizes value chain analysis to investigate the distribution of benefits in the snubnose pompano product value chain, aiming to ascertain how these benefits are obtained by the farmers. Research design, data and methodology: The study approaches the assessment components from the economic analysis framework of the value chain. It investigates the various actors involved in the value chain of snubnose pompano fishery products in the South-Central Coast region of Vietnam from 2020 to 2022. Data collection is conducted through direct interviews with the actors utilizing survey questionnaires. Results: The results indicate that farmers, traders, and processors are key actors in the chain. The distribution of benefits between farmers and other actors has improved and tended towards greater harmony over the years. However, farmers receive benefits that are not commensurate with their value-added contribution. Farmers contribute the greatest value-added, but their profit margin share is not commensurate with the ratio of their value-added contribution to the chain. Farmers suffer the highest degrees of losses caused by price fluctuation and production risks, while other actors face smaller risks. Conclusions: The study offers some recommendations to adjust the distribution of benefits and risks among participants in this value chain.

Multihazard capacity optimization of an NPP using a multi-objective genetic algorithm and sampling-based PSA

  • Eujeong Choi;Shinyoung Kwag;Daegi Hahm
    • Nuclear Engineering and Technology
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    • v.56 no.2
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    • pp.644-654
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    • 2024
  • After the Tohoku earthquake and tsunami (Japan, 2011), regulatory efforts to mitigate external hazards have increased both the safety requirements and the total capital cost of nuclear power plants (NPPs). In these circumstances, identifying not only disaster robustness but also cost-effective capacity setting of NPPs has become one of the most important tasks for the nuclear power industry. A few studies have been performed to relocate the seismic capacity of NPPs, yet the effects of multiple hazards have not been accounted for in NPP capacity optimization. The major challenges in extending this problem to the multihazard dimension are (1) the high computational costs for both multihazard risk quantification and system-level optimization and (2) the lack of capital cost databases of NPPs. To resolve these issues, this paper proposes an effective method that identifies the optimal multihazard capacity of NPPs using a multi-objective genetic algorithm and the two-stage direct quantification of fault trees using Monte Carlo simulation method, called the two-stage DQFM. Also, a capacity-based indirect capital cost measure is proposed. Such a proposed method enables NPP to achieve safety and cost-effectiveness against multi-hazard simultaneously within the computationally efficient platform. The proposed multihazard capacity optimization framework is demonstrated and tested with an earthquake-tsunami example.

Qualitative Literature Analysis: The Meaningful Association between ESG Management and Economic Development

  • Anthony NJUGUNA;Phouthakannha NANTHARATH;Eungoo KANG
    • The Journal of Industrial Distribution & Business
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    • v.15 no.5
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    • pp.29-37
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    • 2024
  • Purpose: Numerous prior researchers have identified only that sustainable management of ESG factors promotes business value creation and shapes enhanced innovation performance. This study aims to determine the positive relationships between ESG management and economic development, focusing on the mutual benefits and risks and the various stakeholders involved in managing change. Research design, data and methodology: This study selected the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement as a key methodology. Literature search used the following databases: Web of Science, Scopus, and Google Scholar. The quality assessment criteria for selected prior studies ranged from issues like design, sample size and the representativeness of the subjects, validity of measurements, and analytical strength. Results: The findings of this study indicates that there are four critical solutions for economic development triggers using ESG strategy, such as (1) ESG and Innovation-Driven Growth, (2) ESG and Human Capital Development, (3) ESG and Operational Efficiency, (4) ESG and Market Opportunities. This study insists that public-private partnerships are critical for enhancing sustainable economic development and meeting the needs of society. Conclusions: It is, therefore, important for governments and policymakers to play a critical role in setting the proper framework that allows for the uptake of ESG and an enabling environment for sustainable economic development.

Management and control of coccidiosis in poultry - A review

  • Rafiq Ahmad;Yu-Hsiang Yu;Kuo-Feng Hua;Wei-Jung Chen;Daniel Zaborski;Andrzej Dybus;Felix Shih-Hsiang Hsiao;Yeong-Hsiang Cheng
    • Animal Bioscience
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    • v.37 no.1
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    • pp.1-15
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    • 2024
  • Poultry coccidiosis is an intestinal infection caused by an intracellular parasitic protozoan of the genus Eimeria. Coccidia-induced gastrointestinal inflammation results in large economic losses, hence finding methods to decrease its prevalence is critical for industry participants and academic researchers. It has been demonstrated that coccidiosis can be effectively controlled and managed by employing anticoccidial chemical compounds. However, as a result of their extensive use, anticoccidial drug resistance in Eimeria species has raised concerns. Phytochemical/herbal medicines (Artemisia annua, Bidens pilosa, and garlic) seem to be a promising strategy for preventing coccidiosis, in accordance with the "anticoccidial chemical-free" standards. The impact of herbal supplements on poultry coccidiosis is based on the reduction of oocyst output by preventing the proliferation and growth of Eimeria species in chicken gastrointestinal tissues and lowering intestinal permeability via increased epithelial turnover. This review provides a thorough up-to-date assessment of the state of the art and technologies in the prevention and treatment of coccidiosis in chickens, including the most used phytochemical medications, their mode of action, and the applicable legal framework in the European Union.

Current Status of Etiology, Epidemiology, Clinical Manifestations and Imagings for COVID-19

  • Meng Di Jiang;Zi Yue Zu;U. Joseph Schoepf;Rock H. Savage;Xiao Lei Zhang;Guang Ming Lu;Long Jiang Zhang
    • Korean Journal of Radiology
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    • v.21 no.10
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    • pp.1138-1149
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    • 2020
  • Coronavirus disease 2019 (COVID-19) is a transmissible respiratory disease that was initially reported in Wuhan, China in December 2019. With the alarming levels of COVID-19 spread worldwide, the World Health Organization characterized COVID-19 as a pandemic. Over the past several months, chest CT has played a vital role in early identification, disease severity assessment, and dynamic disease course monitoring of COVID-19. The published data has enriched our knowledge on the etiology, epidemiology, clinical manifestations, and pathologic findings of COVID-19. Additionally, as the imaging spectrum of the disease continues to be defined, extrapulmonary infections or other complications will require further attention. This review aims to provide an updated framework and essential knowledge with which radiologists can better understand COVID-19.