Contribution of Learner Characteristics in the Development of Adaptive Learner Model

  • Amit KumarEmail author
  • Vishal Bharti
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 989)


Learner models are built to enable adaptive and personalized instructions to prospective learners in Adaptive Intelligent Tutoring Systems (AITS). They are created parallel to the advancement of adaptive intelligent tutoring frameworks and consequently, connected to the system’s advancement. This paper presents the critical literature review from 2002 to 2017 in the research area of learner characteristics in the development of a learner model for the particular field of AITS. The primary aim of this literature review is to answer the two fundamental questions. First, what are the main characteristics of learners to be modeled second, what is the contributions of learner characteristics in the development of the learner model? The learner characteristics model along with a model application and their comparative study has been discussed in ITS. The goal of this paper is to give the gained information to educationalists, developers, researchers, and scholars for making decisions about what the learner’s characteristics are should be followed while developing an effective learner model.


Learner model Learner characteristics Adaptivity E-learning Intelligent tutoring system 


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© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.School of Computer Science and EngineeringUniversity of Petroleum and Energy StudiesDehradunIndia
  2. 2.Department of Computer Science and EngineeringDIT UniversityDehradunIndia

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