Evaluation of Shock in Students Perception of Lecturing Skills through Stochastic Modeling
In recent times, higher education institutions (HEIs) are seeking more attention in conducting surveys to improve the quality of teaching and achieve academic accreditation. In this regard, Imam Abdulrahman Bin Faisal University (IAU) also conducting various surveys to meet the requirements of the N...
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Published in | IAENG international journal of applied mathematics Vol. 50; no. 1; pp. 1 - 6 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hong Kong
International Association of Engineers
01.03.2020
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Subjects | |
Online Access | Get full text |
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Summary: | In recent times, higher education institutions (HEIs) are seeking more attention in conducting surveys to improve the quality of teaching and achieve academic accreditation. In this regard, Imam Abdulrahman Bin Faisal University (IAU) also conducting various surveys to meet the requirements of the National Center for Academic Accreditation and evAluation (NCAAA), Saudi Arabia for attaining academic accreditation. Among those surveys, a survey named "Students Survey on Lecturing Skills (SSLS)" is conducted to reveal the students' perception of lecturing skills of instructors. In SSLS, the policymakers should reach the fixed new target benchmark for overall students' satisfaction during every academic year. Therefore, this study aimed to use stochastic modeling to predict the exact parameters which are to be focused by the instructors to improve their quality of teaching and enhance the overall students' satisfaction towards instructors' lecturing skills. The results showed that the instructors should focus on "Interest and motivation" (ĮJL) to enhance the overall students' satisfaction towards the lecturing skills by 99% in the presence of a 5% increase in target benchmark as per NCAAA standards during the upcoming academic year. This study indicates that the policymakers can make use of stochastic modeling in higher education to predict the exact parameters to be focused so that the cost and time spent would be reduced and make the process easier to achieve academic accreditation. |
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ISSN: | 1992-9978 1992-9986 |