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Intelligent Communication, Control and Devices pp 425–433Cite as

An Adaptive Framework of Learner Model Using Learner Characteristics for Intelligent Tutoring Systems

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 989))

Abstract

Learner Model is the base for providing the adaptivity in the Intelligent Tutoring Systems (ITS) as learner performance data and information are stored in the learner model. Recently, there has been a rapid progress in education delivery through web due to the advancement in internet technology. With the limitations such as lack of adaptive support and presentations reasoned that research has been expanded in the domain of ITS. The aim of the paper is to present an adaptive framework of the learner model using learner characteristics that helps to provide the adaptive presentation and feedback to the prospective learner. Adaptive learner model has three component such as Learner Characteristics Model, Learner Classification Model, and Learner Adaptation Model. Learner Characteristics Model includes the characteristics of learner such as learning style, knowledge levels, and cognitive and meta-cognitive skills. Learner Classification Model classifies the learner into groups based on his/her learning style, levels of knowledge, and performance data and implemented through artificial intelligence technique. The Learner Adaptation Model recommends the tutoring strategy which best suits the learner to provide the adaptation.

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Acknowledgements

This work is being carried out at University of Petroleum and Energy Studies (UPES) with the reference number SR/CSI/140/2013. The authors thankfully acknowledge the funding support received from Cognitive Science Research Initiative, Department of Science and Technology for the project. The Authors thank the management of UPES, for supporting the work and granting permission to publish it.

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Authors and Affiliations

  1. School of Computer Science and Engineering, University of Petroleum and Energy Studies, Dehradun, 248001, Uttarakhand, India

    Amit Kumar

  2. University of Petroleum and Energy Studies, Dehradun, 248001, Uttarakhand, India

    Neelu Jyoti Ahuja

Authors
  1. Amit Kumar
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  2. Neelu Jyoti Ahuja
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Corresponding author

Correspondence to Amit Kumar .

Editor information

Editors and Affiliations

  1. Department of Electronics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Sushabhan Choudhury

  2. Department of Electronics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Ranjan Mishra

  3. Department of Electronics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Raj Gaurav Mishra

  4. Department of Electronics, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India

    Adesh Kumar

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Kumar, A., Ahuja, N.J. (2020). An Adaptive Framework of Learner Model Using Learner Characteristics for Intelligent Tutoring Systems. In: Choudhury, S., Mishra, R., Mishra, R., Kumar, A. (eds) Intelligent Communication, Control and Devices. Advances in Intelligent Systems and Computing, vol 989. Springer, Singapore. https://doi.org/10.1007/978-981-13-8618-3_45

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