Development and evaluation of a course model to prepare teachers in Mobile-AssisteD-teaching (MAD-teaching)

Chun Yen Chang*, Yu Ta Chien

*Corresponding author for this work

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

Abstract

This paper introduces the 4-phase cyclic MAGDAIRE model (Modelled Analysis, Guided Development, Articulated Implementation, and Reflected Evaluation) to prepare pre-service teachers for Mobile-AssisteD-teaching (MAD-teaching). In 2012, MAGDAIRE was deployed in a teacher preparation course. Thirty-five pre-service teachers participated in this course. The results suggested that MAGDAIRE efficiently and effectively assisted pre-service teachers’ in crafting MAD-teaching modules. A total of 13 MAD-teaching modules applicable to classrooms, including 13 teaching plans, 14 learning sheets, and 6 sets of assessment, were developed. The results of peer assessment indicated that the pre-service teachers’ MAD-teaching performances were acceptable, in terms of whether they could fluently use Apps in teaching and whether they could appropriately leverage Apps to support teaching methods and the subject matter to be taught; the mean scores of all the items on the peer assessment were beyond the median level (2.5; Min. = 1 and Max. = 4).

Original languageEnglish
Title of host publicationSmart Education and Smart e-Learning
EditorsRobert J. Howlett, Vladimir L. Uskov, Lakhmi C. Jain
PublisherSpringer Science and Business Media Deutschland GmbH
Pages163-169
Number of pages7
ISBN (Print)9783319198743
DOIs
Publication statusPublished - 2015
Event2nd International KES Conference on Smart Education and Smart e-Learning, SEEL 2015 - Sorrento, Italy
Duration: 2015 Jun 172015 Jun 19

Publication series

NameSmart Innovation, Systems and Technologies
Volume41
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026

Other

Other2nd International KES Conference on Smart Education and Smart e-Learning, SEEL 2015
Country/TerritoryItaly
CitySorrento
Period2015/06/172015/06/19

Keywords

  • Mobile learning
  • Mobile-assisted teaching
  • Science teaching
  • Teacher education

ASJC Scopus subject areas

  • General Decision Sciences
  • General Computer Science

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