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

26 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 Sep 22
Event8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008 - Santander, Spain
Duration: 2008 Jul 12008 Jul 5

Publication series

NameProceedings - The 8th IEEE International Conference on Advanced Learning Technologies, ICALT 2008

Other

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

All Science Journal Classification (ASJC) codes

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

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