An Educational Web-Based Expert System for Novice Highway Technology in Flexible Pavement Maintenance
Author(s) -
Abdalrhman Milad,
Nur Izzi Md. Yusoff,
Sayf A. Majeed,
Zainab Hasan Ali,
Mohmed Solla,
Nadhir AlAnsari,
Riza Atiq Abdullah O.K. Rahmat,
Zaher Mundher Yaseen
Publication year - 2021
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1155/2021/6669010
Subject(s) - construct (python library) , curriculum , computer science , attendance , knowledge base , expert system , web application , engineering management , world wide web , engineering , artificial intelligence , psychology , pedagogy , economics , programming language , economic growth
Nowadays, higher education worldwide is affected by the COVID-19 pandemic It has affected students' attendance in the universities and causes universities to close down in more than 190 countries On the other hand, novice engineers studied only a few lectures related to highway engineering Their lectures have included very little knowledge about asphalt pavement construction as highway engineering consists of many areas that are not studied in detail during their studying years subject to their traditional education Due to all mentioned, a new drive to promote online learning paves the way to evaluate our future approach to curriculum development and delivery of educational materials for engineering courses However, experts can offer solutions to these problems using their past experience Hence, a system that allows experts to share their experience with other engineers after completing a project is needed Nevertheless, the web-based expert system for maintaining flexible pavement problems in tropical regions (ESTAMPSYS) designed in this study is a novel concept Prior to developing this system, the need for such a system was determined through literature review and validated through a questionnaire survey Experts were interviewed, and a questionnaire survey was conducted to construct the knowledge base of the system Knowledge was presented as rules and coded in software through PHP programming Web pages that support the user interface were designed using a framework that consists of CSS, HTML, and J-Query Furthermore, the system was tested by an array of users engaged in highway engineering, namely, experts, teaching experts, novice engineers, and students The mean values of the overall system evaluation performed by 20 users using a five-point Likert scale were 4, 4 5, 3 75, 4 25, 5, 4, and 3 5 Expert and user satisfaction prove the effectiveness of the proposed system © 2021 Abdalrhman Milad et al
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