Multi-criteria decision making for determining best teaching method using fuzzy analytical hierarchy process

Abstract

During the outbreak of COVID-19, information technology played a critical role in promoting education all around the world. Online teaching boosts students' learning processes and has a good impact on their learning during the epidemic. Big data technology transforms traditional teaching approaches and learning processes by providing a rich learning resource for diverse teaching elements and improving teachers' teaching techniques. Due to the COVID-19 epidemic, online education spread quickly, and traditional instruction was abruptly switched to online mode, posing a number of issues for students and management. Choosing a decent teaching technique is not an easy option, and it is even more difficult when it comes to selecting the approach. We used the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) method to evaluate four instructional methods based on seven criteria to solve this challenge. Fuzzy AHP is a powerful, simple, and direct way for determining which approach is the most efficient and effective. To simplify the selection process and address the issue of uncertainty, the Fuzzy AHP technique employs the geometric mean method. The Fuzzy AHP approach was found to be efficient and successful in the decision-making process in this study.

An Extensive Analysis of the Hurdles in Embracing Ai Among People With Special Needs Using Ahp

“…The fundamental goal of going through the existing research works on AHP is to understand the genuine consequences of AHP in decision-making. Xu et al (2023) analyzed the impact of the COVID-19 pandemic on education, stating that online learning helps students learn more successfully. Big data technology transformed traditional teaching methods, yet the fast switch to online education presented challenges.…”

MCDM Using Multi-Attribute Utility Theory and PIPRECIA in Customer Loan Eligibility Recommendations

“…The next step is to normalize the decision matrix that has been made so that it will produce a normalization matrix, for the criteria of Income, Customer's Financial Condition, and large Loans calculated using equation (7), for the criteria of Credit History, Guarantee, and Period calculated using equation (6). The calculation results for income criteria are as follows.…”

“…Decision Support Systems (DSS) and Multi-Criteria Decision Making (MCDM) have a close relationship because DSS is often used as a tool or technology to support the implementation of MCDM methods. MCDM is an approach or framework for addressing complex decisions that involve multiple criteria or factors that need to be considered simultaneously [7]. DSS, on the other hand, is an information system that provides technology support and data analysis to aid decision making.…”

“…The equation above has 2 types of equations for the type of benefit criteria calculated using equation ( 6), and the type of cost criteria calculated using equation (7). The next stage in the MAUT method is to calculate the utility value with the following equation.…”

Student Ranking Based on Learning Assessment Using the Simplified PIPRECIA Method and CoCoSo Method

“…The system can assign weight to each criterion based on priority, so that students who achieve the highest score in these assessments can be identified as the best students. DSS helps minimize subjectivity in student selection and ensures that decisions are based on strong data and pre-set criteria [4]. In addition, decision support systems also allow flexibility in entering different types of data, including feedback from teachers, recommendations, and non-academic achievements, such as leadership and social engagement.…”