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Title: APPLYING A PERSONALIZED MODEL IN PHD STUDENT LEARNING
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APPLYING A PERSONALIZED MODEL IN PHD STUDENT LEARNING
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1314-2704
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English
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20
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2.1
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With each passing day consumers, including students and PhD students, expect more
intelligent and personalized services. The key to providing such services is the concept of a personalized model. The purpose of the current research is to present adequate methods for creating a personalized model in student and PhD students learning. User profile modeling is a challenge because of the high degree of subjectivity and human behavior indetermination. Traditional methods used to create user models are usually not agile enough to capture the inherent uncertainty. Due to the variety and amount of information available to create custom models, machine learning techniques and Data Mining can be used to automatically identify user profiles and interests. However, traditional techniques are not able to capture the inherent uncertainty in modeling human behavior. In this context, soft computing methods play the role of an adequate tool for generating effective personalized models in the education of undergraduate and in particular PhD students. The soft computing methods - fuzzy logic, neural networks, genetic algorithms, fuzzy clustering and neuro-fuzzy systems ? standalone or in combination with other machine learning techniques, could be used for this purpose, due to their appropriate specificity. In this paper the author presents the research results on the suitability of general soft computing methods for creating a personalized model in students and PhD students learning. |
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conference
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20th International Multidisciplinary Scientific GeoConference SGEM 2020
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20th International Multidisciplinary Scientific GeoConference SGEM 2020, 18 - 24 August, 2020
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Proceedings Paper
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STEF92 Technology
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International Multidisciplinary Scientific GeoConference-SGEM
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SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts & Letters; Acad Fine Arts Zagreb Croatia; C
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41-50
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18 - 24 August, 2020
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website
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cdrom
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6967
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Personalized Model; Student profile model; PhD Student Learning; Soft
Computing |
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