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Evaluating the Effectiveness of Intelligent Tutoring System Offering Personalized Learning Scenario

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Book cover Intelligent Information and Database Systems (ACIIDS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7196))

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Abstract

In this paper the prototype of an e-learning system that incorporates learning style is described. This system with a personalized courseware was used to conduct an experiment. The e-learning system collected information about a student during the registration process. Next, a user was assigned to an experimental or a control group. Depending on the previous classification the student was offered a learning scenario suited to individual learner’s preferences or a universal learning scenario. The research was devoted to measure students’ learning results from both groups. Significantly higher results were obtained by learners whose user profiles were taken into consideration during the determination of the learning scenario.

This research was financially supported by Polish Ministry of Science and Higher Education under the grant N N519 407437.

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Author information

Authors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Poland

    Adrianna Kozierkiewicz-Hetmańska

Authors
  1. Adrianna Kozierkiewicz-Hetmańska
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Editor information

Editors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, No. 415, Chien-Kung Road, 80778, Kaohsiung, Taiwan

    Jeng-Shyang Pan

  2. Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, No. 140, Min-Shen Road, 40306, Taichung, Taiwan

    Shyi-Ming Chen

  3. Wrocław University of Technology, Wyb. Wyspiańskiego 27, 50-370, Wrocław, Poland

    Ngoc Thanh Nguyen

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Kozierkiewicz-Hetmańska, A. (2012). Evaluating the Effectiveness of Intelligent Tutoring System Offering Personalized Learning Scenario. In: Pan, JS., Chen, SM., Nguyen, N.T. (eds) Intelligent Information and Database Systems. ACIIDS 2012. Lecture Notes in Computer Science(), vol 7196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28487-8_32

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  • DOI: https://doi.org/10.1007/978-3-642-28487-8_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-28486-1

  • Online ISBN: 978-3-642-28487-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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