RLO by Classification Algorithms

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Learning styles has gained widespread recognition in education theory and classroom management strategy. Individual learning styles depend on cognitive, emotional and environmental factors, as well as one's prior experience. This research work comprises defining method which uses questionnaires to determine the student's learning style and then adapt their behavior according to the learning styles. This research work uses primarily, personality trait test (PTT) is used to predict the learning behavior of the student. After that empirical relationship between the Kolb's learning style and learning computer programming skills through classification algorithms was analyzed. The performance of the research work has been evaluated through experimental results.

Autorentext
Dr. R.Mangai Begum is working as an Assistant Professor in Department of Information Technology, St. Joseph s College, Tiruchirappalli, India. She has 20 year experience in teaching field and 15 years experience in her research area. Ms. Baruni J S has around 3 years of teaching experience and she cleared UGC NET Exam in the year of 2021.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09786207843770
    • Anzahl Seiten 196
    • Genre IT Encyclopedias
    • Herausgeber LAP LAMBERT Academic Publishing
    • Gewicht 310g
    • Untertitel Prediction of Refining Learning Objects on Higher Education Using Classification Algorithms
    • Größe H220mm x B150mm x T13mm
    • Jahr 2024
    • EAN 9786207843770
    • Format Kartonierter Einband
    • ISBN 6207843770
    • Veröffentlichung 16.07.2024
    • Titel RLO by Classification Algorithms
    • Autor R. Mangai Begum , Ms. Baruni J S
    • Sprache Englisch

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