Authors:
Andino Maseleno, Siti Patimah, Syafrimen Syafril, Miftachul Huda 

Addresses:
1Department of Information Systems, Bakti Nusantara Institute, Lampung, Indonesia. 2,3Department of Education, Raden Intan State Islamic University, Lampung, Indonesia. 4Department of Human Sciences, Sultan Idris Education University, Malaysia. andino.maseleno@mail.ugm.ac.id1, sitipatimah@radenintan.ac.id2, syafrimen@radenintan.ac.id3, miftachul@fsk.upsi.edu.my4 

Abstract:

The purpose of this study is to determine the various degrees of learning preferences in order to define various learning styles that are applicable to different kinds of people. To determine an individual's preference levels, a measurement scale based on ordinal scale has been utilised. Very rarely, average level, and very regularly are the three primary subcategories that make up this scale's subdivisions. The development of a numerical hypothesis can be aided by employing the measuring scale on an ordinal scale. This numerical hypothesis can then be used to establish an individual's preferred method of learning by applying the mathematical theory of evidence. The research utilised twenty-four different question sets to support a particular individual's preferred method of learning, and it utilised the data that was offered to do so. It did so by filtering it using several degrees of probability of the evidence theory model, all of which helped in proving or supporting a certain hypothesis. The conclusion is that by applying the mathematical theory of evidence, we are able to easily diagnose the preferred method of learning for every given individual. 

Keywords: Mathematical Theory of Evidence; Question Sets; Learning Preferences; Collaborative Assignments; Deliberated Solutions; Dependent Learners; Standard Algorithm.

Received on: 21/12/2022, Revised on: 13/02/2023, Accepted on: 14/03/2023, Published on: 04/04/2023

FMDB Transactions on Sustainable Techno Learning, 2023 Vol. 1 No. 2, Pages: 60-77

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