A Learning Design Strategy Framework for Content Transformation Using Fuzzy Delphi Method

Ayub, Enna; Mohamad, Syamsul Nor Azlan; Wei, Goh Wei; Luaran, Johan@Eddy

doi:10.18178/ijiet.2020.10.12.1474

Cited by 10 publications

(10 citation statements)

References 20 publications

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“…Table 2 is a representation of linguistic variables and respective TFN membership functions for the alternates for evaluation against the criteria (Ab Kadir et al, 2019). The fuzzy ratings given in this table are defined in accordance with (Ismail et al, 2019;Ayub et al, 2020;Yaakob et al, 2020;Gupta et al, 2021). The consent level of fuzzy scale is odd number (3, 5, 7, or 9) (Ismail et al, 2019;Ayub et al, 2020).…”

Section: Figure 1 Triangular Fuzzy Numbermentioning

confidence: 99%

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Application of fuzzy TOPSIS for prioritization of patients on elective surgeries waiting list - A novel multi-criteria decision-making approach

Hassan¹,

Umer²,

Hassan³

et al. 2023

Decis. Mak. Appl. Manag. Eng.

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Prioritizing patients is a growing concern in healthcare. Once resources are limited, prioritization is considered an effective and viable solution in provision of healthcare treatment to awaiting patients. Prioritization is a preferred approach that helps clinicians to apportion scarce resources fairly and transparently. In this study, a novel methodology of prioritizing the patient is formulated using fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The objective is based on actual hospital conditions in Pakistan. The proposed methodology has two contributions: objective scoring mechanism that translates the patient’s condition given in human linguistic terms; and second methodology to prioritize patients according to corresponding scores. To validate the proposed methodology, simulation was carried out on actual data collected in real-time by surgeons, while providing consultations to their patients. The proposed methodology outperforms the traditional methodology by reducing average waiting time by 34% (from 4.246 to 2.810 days), minimize wait time and delays by 46.7% (from 15 to 8 days), and number of surgery days by 18%. The majority of the previously presented researched methodologies prioritize the patients subjectively. This study presents an objective methodology to prioritize the patients and decrease wait-times while ensuring transparency and equity.

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Section: Figure 1 Triangular Fuzzy Numbermentioning

confidence: 99%

“…The fuzzy ratings given in this table are defined in accordance with (Ismail et al, 2019;Ayub et al, 2020;Yaakob et al, 2020;Gupta et al, 2021). The consent level of fuzzy scale is odd number (3, 5, 7, or 9) (Ismail et al, 2019;Ayub et al, 2020).…”

Section: Figure 1 Triangular Fuzzy Numbermentioning

confidence: 99%

Application of fuzzy TOPSIS for prioritization of patients on elective surgeries waiting list - A novel multi-criteria decision-making approach

Hassan¹,

Umer²,

Hassan³

et al. 2023

Decis. Mak. Appl. Manag. Eng.

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“…Lastly, a Saudi manufacturing fuzzy performance importance index (SMFPI) was calculated, which helped to find the barriers hindering the improvement of manufacturing sustainability. A step-bystep illustration of the adopted approach [38][39][40][41][42][43] is listed below, and its application for a case of a Saudi manufacturing organization is presented as a case study in the subsequent section.…”

Section: Fuzzy Sustainability Evaluation Approachmentioning

confidence: 99%

“…To assign the performance ratings and importance weights of sustainability indicators, subject matter experts must use linguistic terms, which can be found in Table 3 [40]. It is unrealistic for evaluators to determine the score of an ambiguous criterion [39]; consequently, in this research, linguistic terms were used to judge the performance ratings and importance weights of sustainability sub-criteria.…”

Section: Case Study: An Illustrative Examplementioning

confidence: 99%

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Sustainability Indexing Model for Saudi Manufacturing Organizations

2023

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Saudi Arabia has a 2030 Vision in which sustainability is a central pillar. Sustainability in manufacturing organizations has become a topic of discussion as a potential solution to help them survive and prosper in a competitive market. Here, the objective is to establish a sustainability indexing model for Saudi manufacturing organizations that will help organizations to prepare their sustainability reports in line with international sustainability standards. This study will also help Saudi manufacturing organizations evaluate their level of sustainability and identify barriers to improving their sustainability. The model presented has three sustainability dimensions, 12 criteria, and 29 sub-criteria. The model was implemented in a Saudi manufacturing organization as a case study. To improve the organization’s sustainability level, sustainability barriers were identified and analyzed. The model indicates that eight sub-criteria scored below the threshold value, which was found to be 0.19. These sub-criteria were further considered as sustainability barriers in the case organization.

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Computational Thinking Assessment: Contributions to the Development of Complex Thinking in Higher Education

López-Caudana,

Suárez-Brito,

Alfaro-Ponce

et al. 2024

Lecture Notes in Educational Technology

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A Learning Design Strategy Framework for Content Transformation Using Fuzzy Delphi Method

Abstract: This study engaged experts in confirming the elements and items of a Learning Design Strategy Framework (Framework) for content transformation of learning at scale (L@S) to a virtual classroom

Cited by 10 publications

References 20 publications

Application of fuzzy TOPSIS for prioritization of patients on elective surgeries waiting list - A novel multi-criteria decision-making approach

Application of fuzzy TOPSIS for prioritization of patients on elective surgeries waiting list - A novel multi-criteria decision-making approach

Sustainability Indexing Model for Saudi Manufacturing Organizations

Computational Thinking Assessment: Contributions to the Development of Complex Thinking in Higher Education

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