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Guideline for Organizing Content in Adaptive Learning System

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Recent Trends in Data Science and Soft Computing (IRICT 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 843))

Abstract

In the past few years, various adaptive learning systems were developed in response to a widespread desire for all encompassing educational environments. However, these learning systems were developed by educational researchers using various techniques thereby resulting in varying outcomes. This is so because there is no specified guideline that leads to the development of an efficient and effective online adaptive learning system. Therefore, the need to propose guidelines for organizing content in an online adaptive learning system that will cater for all learners regardless of their differences. Several databases and keywords were used to ascertain the lack of guidelines in organizing content in adaptive learning systems. In this study, we propose a content adaptation guidelines for different type of learners in online adaptive learning systems based on Martinez learning style model as employing the same instructional conditions to all students can be pedagogically inefficient. The guideline is developed on the adaptation mapping from information in the student model which is carried out in four stages Organizing content, Individualized content, Adaptive navigation and Control level. These guidelines will help developers as well as educators with basic steps in developing a seamless online adaptive learning system for different type of learners.

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Acknowledgement

This work is supported by the Ministry of Higher Education (MOHE) and Research Management Centre (RMC) at the Universiti Teknologi Malaysia (UTM) under the Research University Grant - Instructional Development Grant (GUP-DPP) VOT R.J130000.7728.4J244.

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Authors and Affiliations

  1. Universiti Teknologi Malaysia, 81310, Johor Bahru, Malaysia

    Halina Dahlan & Ab Razak Che Hussin

  2. Ahmadu Bello University, Zaria, Nigeria

    Yusuf Sahabi Ali

Authors
  1. Halina Dahlan
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  2. Ab Razak Che Hussin
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  3. Yusuf Sahabi Ali
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Corresponding author

Correspondence to Yusuf Sahabi Ali .

Editor information

Editors and Affiliations

  1. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

    Faisal Saeed

  2. Information Systems Department, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Nadhmi Gazem

  3. Information Technology Department, Faculty of Engineering and Information Technology, Taiz University, Taiz, Yemen

    Fathey Mohammed

  4. Information Systems Department, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Abdelsalam Busalim

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Dahlan, H., Hussin, A.R.C., Ali, Y.S. (2019). Guideline for Organizing Content in Adaptive Learning System. In: Saeed, F., Gazem, N., Mohammed, F., Busalim, A. (eds) Recent Trends in Data Science and Soft Computing. IRICT 2018. Advances in Intelligent Systems and Computing, vol 843. Springer, Cham. https://doi.org/10.1007/978-3-319-99007-1_98

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