A meaningful learning based u-learning evaluation model

Po Sheng Chiu, Yen Hung Kuo, Yueh-Min Huang, Tzung Shi Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Citations (Scopus)

Abstract

In recent years, there has been a dramatic proliferation of research concerned with the ubiquitous learning (u-learning). The u-learning systems have to be continuously evaluated and improved for ensuring the system reliability. Therefore, this work based on meaningful learning aspect to propose a u-learning evaluation model. The model blends features of u-learning and meaningful learning to construct a hierarchy decision model. According to the hierarchy structure, domain experts can develop AHP-based questionnaire survey to collect learners' opinions. Following that, system developers can realize the relative strength and weakness of the u-learning system from a meaningful learning viewpoint by analyzing the surveyed data, and they can further to improve and refine current u-learning systems accordingly. Consequently, existing u-learning systems can be revalidated by our evaluation model, and then based on the produced suggestions to improve toward the meaningful learning.

Original languageEnglish
Title of host publicationProceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008
Pages77-81
Number of pages5
DOIs
Publication statusPublished - 2008
Event8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008 - Santander, Spain
Duration: 2008 Jul 12008 Jul 5

Other

Other8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008
CountrySpain
CitySantander
Period08-07-0108-07-05

Fingerprint

Learning systems
evaluation
learning
decision model
proliferation
expert
questionnaire

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Information Systems
  • Electrical and Electronic Engineering
  • Education

Cite this

Chiu, P. S., Kuo, Y. H., Huang, Y-M., & Chen, T. S. (2008). A meaningful learning based u-learning evaluation model. In Proceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008 (pp. 77-81). [4561631] https://doi.org/10.1109/ICALT.2008.100
Chiu, Po Sheng ; Kuo, Yen Hung ; Huang, Yueh-Min ; Chen, Tzung Shi. / A meaningful learning based u-learning evaluation model. Proceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008. 2008. pp. 77-81
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Chiu, PS, Kuo, YH, Huang, Y-M & Chen, TS 2008, A meaningful learning based u-learning evaluation model. in Proceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008., 4561631, pp. 77-81, 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008, Santander, Spain, 08-07-01. https://doi.org/10.1109/ICALT.2008.100

A meaningful learning based u-learning evaluation model. / Chiu, Po Sheng; Kuo, Yen Hung; Huang, Yueh-Min; Chen, Tzung Shi.

Proceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008. 2008. p. 77-81 4561631.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - In recent years, there has been a dramatic proliferation of research concerned with the ubiquitous learning (u-learning). The u-learning systems have to be continuously evaluated and improved for ensuring the system reliability. Therefore, this work based on meaningful learning aspect to propose a u-learning evaluation model. The model blends features of u-learning and meaningful learning to construct a hierarchy decision model. According to the hierarchy structure, domain experts can develop AHP-based questionnaire survey to collect learners' opinions. Following that, system developers can realize the relative strength and weakness of the u-learning system from a meaningful learning viewpoint by analyzing the surveyed data, and they can further to improve and refine current u-learning systems accordingly. Consequently, existing u-learning systems can be revalidated by our evaluation model, and then based on the produced suggestions to improve toward the meaningful learning.

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Chiu PS, Kuo YH, Huang Y-M, Chen TS. A meaningful learning based u-learning evaluation model. In Proceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008. 2008. p. 77-81. 4561631 https://doi.org/10.1109/ICALT.2008.100