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基于模糊多准则决策视角为智障儿童确定教育技术的优先级

Prioritizing educational technologies for children with intellectual disabilities under fuzzy MCDM perspective.

作者信息

Castro Bjanca Nicole, Daquipil Geneva Lyn, Macainag Rina Arian, Tan Maxine Alexandra, Bongo Miriam

机构信息

Department of Industrial & Systems Engineering, Gokongwei College of Engineering, De La Salle University, Manila City, Philippines.

出版信息

Disabil Rehabil Assist Technol. 2025 May;20(4):980-991. doi: 10.1080/17483107.2024.2424880. Epub 2024 Nov 23.

DOI:10.1080/17483107.2024.2424880
PMID:39578747
Abstract

Children with intellectual disabilities struggled to perform basic tasks in the educational platform due to their deferred learning pace and individual challenges. To assist such needs, the child's individual education program (IEP) team, spearheaded by the school administrators, continues to offer supplementary educational technologies. However, selecting an appropriate technology does not follow an objective system, making the decision process tedious and unreliable. Therefore, this paper provides a new perspective on analyzing the educational technologies for children with intellectual disabilities with respect to design factors that also constitute the technical specifications and ergonomic principles of technology design. To analyze the educational technologies, fuzzy best-worst method (BWM) and fuzzy technique for order of preference by similarity to ideal solution (TOPSIS) method are employed in a case study in the Philippines. Results reveal that user perception is the most important design factor to be considered when selecting educational technology for children with disabilities. Furthermore, the adaptive educational platform has been found to best fit the needs of children with autism.

摘要

由于学习进度延迟和个人挑战,智障儿童在教育平台上难以完成基本任务。为满足此类需求,由学校管理人员牵头的儿童个别教育计划(IEP)团队继续提供补充教育技术。然而,选择合适的技术并非遵循客观系统,这使得决策过程繁琐且不可靠。因此,本文从设计因素的角度为分析智障儿童教育技术提供了一个新视角,这些设计因素也构成了技术设计的技术规格和人体工程学原理。为了分析教育技术,在菲律宾的一个案例研究中采用了模糊最佳-最差方法(BWM)和与理想解决方案相似性的偏好排序模糊技术(TOPSIS)方法。结果表明,在为残疾儿童选择教育技术时,用户感知是最重要的设计因素。此外,已发现自适应教育平台最适合自闭症儿童的需求。

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引用本文的文献

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Prioritizing disability support systems by using Tamir's complex fuzzy Dombi aggregation operators.通过使用塔米尔的复杂模糊多比聚合算子对残疾支持系统进行优先级排序。
Sci Rep. 2025 May 20;15(1):17411. doi: 10.1038/s41598-025-00614-1.