Identifying Human Temperament and Character Type for E-Learning Needs Using a Fuzzy Logic Approach

Year 2023, Volume: 31, 127 - 134, 30.10.2023

Teimuraz Manjapharashvılı Nino Manjaparashvılı

https://doi.org/10.55549/epess.1381970

Abstract

Today, online training and counseling is becoming increasingly popular. This has been achieved through the use of various successful information and communication technologies and electronic tools - Electronic (ICTE). Therefore, significant changes are needed in the training process. People have different perceptions of information and different types of temperament. That is why the training process should be tailored to the needs of each. The training system should take into account that people have different styles of perceiving information according to the temperament and character type of the student-aplicant. This would reduce online training and increase its quality.Traditional psychometric tests are usually very long and difficult, based on a person’s opinion of themselves and thus, they give different results depending on the person’s mood. Also, depending on the mood and need, the person may be manipulated by possible answers. This is because the answers to such test questions are largely based on ongoing processes in consciousness. So from traditional tests there are other types of tests separately from questionnaires: drawing, colors, geometric figures, pictures, card games, numbers, scenarios, manuscript analysis, drawing and other tests. A special advantage of these types of tests is that they rely more on ongoing processes in the subconscious and are therefore more free to manipulate, while also requiring significantly less time and less dependent on mood.Autors task was to combine several other types of tests and create a free test-short program with the ability to present and process subjective information using modern fuzzy technology, which would allow us to determine the applicant's temperament and character type for e-learning and other needs.

Keywords

E-learning, Human temperament and charaqter type, Tests, Fuzzy logic, Individualization of e-learning.

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