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Adaptive e-learning system based on accumulative digital activities in revised Bloom's taxonomy

Published: 22 June 2012 Publication History

Abstract

Adaptive e-learning systems enhance efficiency in education by providing personalized e-course content (e.g., learning materials and activities) that changes with respect to learners' needs and achievements. An adaptive approach is presented in this paper, which is based upon accumulative digital activities and which is ordered according to pre-established demarcations of cognitive skills with components of the dimension of knowledge within Revised Bloom's Taxonomy. Utilizing the adaptive approach allows for a dynamic selection of different assignments for these activities in accordance with learners' resultant scores that are established after working on previous assignments. This type of selection ensures that individualized curricular content is determined by the level of knowledge of each learner and educational objectives. In order to be implemented the adaptive approach creates workflow that describes logical and meaningful connections between assignments of the digital activities. The implementation of the approach is made within the Moodle e-learning system by means of Bonita software in order to provide workflow modelling.

References

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Anderson, L., & Krathwohl, D. R. (Eds.). A taxonomy for learning, teaching and assessing: A revision of Bloom's Taxonomy of educational objectives: Complete edition, New York Longman (2001).
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Bloom, B. Taxonomy of Educational Objectives. Published by Allyn and Bacon, Boston, MA Copyright (c) 1984 by Pearson Education (1956).
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Brusilovsky, P. Adaptive and Intelligent Technologies for Web-based Education. In C. Rollinger and C. Peylo (eds.) Kunstliche Intelligenz (4), Special Issue on Intelligent Systems and Teleteaching, 19--25, (1999).
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Brusilovsky, P., Nijhavan, H., A Framework for Adaptive E-learning Based on Distributed Re-usable Learning Activities, Driscoll, M. and Reeves, T. C. (eds.) Proc. of World Conference on E-Learning, E-Learn 2002, (Montreal, Canada, October 15--19, 2002), AACE, 154--161
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Churches, A. Bloom's Digital Taxonomy. http://edorigami.wikispaces.com.
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Kostadinova, H., G. Totkov, Adaptive e-learning systems design: an approach based on digital activities according to bloom's taxonomy "Application of Information and Communication Technologies in Economy and Education", 2-3. 12, 2011, UNWE, Sofia, 458--465
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Raykova, M, Hr. Kostadinova, G. Totkov, Adaptive Test System Based on Revised Bloom's Taxonomy, CompSysTech'11, 16--17 June 2011, Vienna, Austria.
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Cited By

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  • (2024)Bloom’s Taxonomy and Online Learning: The COVID-19 Scenario in Indian PerspectiveTowards a Hybrid, Flexible and Socially Engaged Higher Education10.1007/978-3-031-52667-1_10(86-94)Online publication date: 26-Jan-2024
  • (2022)Research Trends in Adaptive Online Learning: Systematic Literature Review (2011–2020)Technology, Knowledge and Learning10.1007/s10758-022-09615-928:2(431-448)Online publication date: 22-Jul-2022
  • (2018)Computerized Adaptive Assessment Using Accumulative Learning Activities Based on Revised Bloom’s TaxonomyKnowledge-Based Software Engineering: 201810.1007/978-3-319-97679-2_26(252-258)Online publication date: 4-Aug-2018
  • Show More Cited By

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cover image ACM Other conferences
CompSysTech '12: Proceedings of the 13th International Conference on Computer Systems and Technologies
June 2012
440 pages
ISBN:9781450311939
DOI:10.1145/2383276
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 June 2012

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Author Tags

  1. Bloom's taxonomy
  2. adaptive e-learning systems
  3. digital activities
  4. e-courses
  5. learning activities

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CompSysTech'12

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Overall Acceptance Rate 241 of 492 submissions, 49%

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Cited By

View all
  • (2024)Bloom’s Taxonomy and Online Learning: The COVID-19 Scenario in Indian PerspectiveTowards a Hybrid, Flexible and Socially Engaged Higher Education10.1007/978-3-031-52667-1_10(86-94)Online publication date: 26-Jan-2024
  • (2022)Research Trends in Adaptive Online Learning: Systematic Literature Review (2011–2020)Technology, Knowledge and Learning10.1007/s10758-022-09615-928:2(431-448)Online publication date: 22-Jul-2022
  • (2018)Computerized Adaptive Assessment Using Accumulative Learning Activities Based on Revised Bloom’s TaxonomyKnowledge-Based Software Engineering: 201810.1007/978-3-319-97679-2_26(252-258)Online publication date: 4-Aug-2018
  • (2016)Personalized Educational Paths through Self-Modifying Learning ObjectsProceedings of the 17th International Conference on Computer Systems and Technologies 201610.1145/2983468.2983516(437-444)Online publication date: 23-Jun-2016
  • (2013)Supporting adaptive e-LearningProceedings of the 14th International Conference on Computer Systems and Technologies10.1145/2516775.2516815(321-328)Online publication date: 28-Jun-2013

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