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Learning Preferences Analysis by Case-Based Reasoning

  • Swati ShekapureEmail author
  • Dipti D. Patil
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1025)

Abstract

Due to advancement in the technology, there is a need to do enhancement in learner’s knowledge. They are preferring to read material from web technology for learning and understanding specific concepts. So as per the students’ learning interest, we need to provide them elearning contents that capture their learning interest and shows the e-material as per their choices. We proposed an elearning system that will provide learning content to students’ as per there context. In this research work, an elearning personalization approach aiming to provide a learning object to learners. The proposed system uses personalization parameters such as learner’s knowledge and learning style. The framework for building e-learning platform is composed of generating learning style using classification. By considering personalization parameters, we provide a recommendation to the learner based on case-based reasoning approach. It is a dynamically incremental model. The retrieval process is carried out by the nearest neighbor method. The learner will view e-learning material based on the reference provided to them and select the path to view content.

Keywords

Elearning Case-based reasoning Adaptive recommendation Learning style 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Marathwada Mitra Madal’s College of EngineeringPuneIndia
  2. 2.IT DeptMKSSS’s Cummins CoE for WomenPuneIndia

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