Constructing an Interpretive Structural Model to Unravel the Interconnected Drivers of Teaching Quality in Higher Education

IF 0.6 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE

International Journal of Knowledge and Systems Science Pub Date : 2024-02-26 DOI:10.4018/ijkss.339564

Porferio Almerino Jr., Marilou Martinez, Rogelio Sala Jr., Kent N. Maningo, Lourdes Garciano, Christine Catyong, Marvin Guinocor, Gerly A. Alcantara, John de Vera, Veronica Calasang, Randy Mangubat, Larry Peconcillo Jr., Emerson Peteros, Charldy Wenceslao, Rica Villarosa, L. Ocampo

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Abstract

Identifying the primary factors of teaching quality remains a pivotal agenda for informed decision making, strategic planning, and resource allocation. This study builds upon ten key factors derived from previous research and recognizes the inherent complexity within their relationships. Emphasizing the necessity for a structured model, this work employs an interpretive structural modelling (ISM) approach and Matrice d'impacts croisés multiplication appliquée á un classment (MICMAC) analysis for constructing a hierarchical model that delineates the interrelationships among the factors influencing teaching quality. The findings indicate the substantial impact of intrinsic factors, particularly teachers' individual and psychological characteristics, on other factors. Additionally, our analysis highlights the critical role of student composition in enhancing overall teaching quality. These insights significantly contribute to the literature by offering valuable guidance to decision makers for maintaining teaching quality within higher education institutions.

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构建解释性结构模型，揭示高等教育教学质量相互关联的驱动因素

确定教学质量的主要因素仍然是知情决策、战略规划和资源分配的关键议程。本研究以先前研究得出的十个关键因素为基础，并认识到这些因素之间关系的内在复杂性。本研究强调结构化模型的必要性，采用了解释性结构建模（ISM）方法和 Matrice d'impacts croisés multiplication appliquée á un classment（MICMAC）分析法，构建了一个层次模型，勾勒出影响教学质量的各因素之间的相互关系。研究结果表明，内在因素，特别是教师的个人和心理特征，对其他因素产生了重大影响。此外，我们的分析还强调了学生构成对提高整体教学质量的关键作用。这些见解为高等教育机构的决策者提供了保持教学质量的宝贵指导，从而对相关文献做出了重要贡献。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Knowledge and Systems Science OPERATIONS RESEARCH & MANAGEMENT SCIENCE-

CiteScore

3.00

自引率

10.00%

发文量

期刊介绍： The mission of the International Journal of Knowledge and Systems Science (IJKSS) is to promote the development of knowledge science and systems science as well as the collaboration between the two sciences among academics and professionals from various disciplines around the world. IJKSS establishes knowledge and systems science as a vigorous academic discipline in universities. Targeting academicians, professors, students, practitioners, and field specialists, this journal covers the development of new paradigms in the understanding and modeling of human knowledge process from mathematical, technical, social, psychological, and philosophical frameworks. The International Journal of Knowledge and Systems Science was originally launched by the International Society of Knowledge and Systems Science, which was initiated in 2000 in Japan and founded by Prof. Y. Nakamori, Professor Z. T. Wang and Professor J. Gu in 2003 in Guangzhou. Professor Z. T. Wang was its Founding Editor.