Abstract
An instructor’s persona and efficiency contribute significantly to predicting the performance outcome of the students during examinations. The primary objective of this paper is to realize in what way fuzzy logic can be applied to predict the outcome of student’s performance with three parameters (i.e.) trust, perception, and usefulness of the instructor while seeking help in academics. Fuzzy logic makes decisions based on the rules and ambiguous data given to the model. It is used to handle partial truth where the range varies from absolutely true and absolutely false. Here, the predictions were made using a Mamdani-type fuzzy logic method with three inputs and one output. The study used a descriptive survey research model. Questionnaires were used as a research instrument in the study and a predictive model using the Fuzzy Logic approach was designed. Data collected from 1250 students belonging to various colleges were used in the study. Analysis was done using the python language and the Fuzzy inference system was designed using MATLAB. It was found that the study variables ‘trust in instructor’ and ‘instructor usefulness’ were highly correlated. With the input variables trust, perception, and usefulness of instructors, the output variable ‘end semester performance’ was predicted using the model.
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Kavitha, R.K., Jayakanthan, N., Harishma, S. (2022). Predicting Students’ Outcomes with Respect to Trust, Perception, and Usefulness of Their Instructors in Academic Help Seeking Using Fuzzy Logic Approach. In: Rajagopal, S., Faruki, P., Popat, K. (eds) Advancements in Smart Computing and Information Security. ASCIS 2022. Communications in Computer and Information Science, vol 1759. Springer, Cham. https://doi.org/10.1007/978-3-031-23092-9_19
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