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 language | English |
|---|---|
| Title of host publication | Smart Education and Smart e-Learning |
| Editors | Robert J. Howlett, Vladimir L. Uskov, Lakhmi C. Jain |
| Publisher | Springer Science and Business Media Deutschland GmbH |
| Pages | 163-169 |
| Number of pages | 7 |
| ISBN (Print) | 9783319198743 |
| DOIs | |
| Publication status | Published - 2015 Jan 1 |
| Event | 2nd International KES Conference on Smart Education and Smart e-Learning, SEEL 2015 - Sorrento, Italy Duration: 2015 Jun 17 → 2015 Jun 19 |
Publication series
| Name | Smart Innovation, Systems and Technologies |
|---|---|
| Volume | 41 |
| ISSN (Print) | 2190-3018 |
| ISSN (Electronic) | 2190-3026 |
Other
| Other | 2nd International KES Conference on Smart Education and Smart e-Learning, SEEL 2015 |
|---|---|
| Country | Italy |
| City | Sorrento |
| Period | 15/6/17 → 15/6/19 |
Fingerprint
Keywords
- Mobile learning
- Mobile-assisted teaching
- Science teaching
- Teacher education
ASJC Scopus subject areas
- Decision Sciences(all)
- Computer Science(all)
Cite this
Development and evaluation of a course model to prepare teachers in Mobile-AssisteD-teaching (MAD-teaching). / Chang, Chun Yen; Chien, Yu Ta.
Smart Education and Smart e-Learning. ed. / Robert J. Howlett; Vladimir L. Uskov; Lakhmi C. Jain. Springer Science and Business Media Deutschland GmbH, 2015. p. 163-169 (Smart Innovation, Systems and Technologies; Vol. 41).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Development and evaluation of a course model to prepare teachers in Mobile-AssisteD-teaching (MAD-teaching)
AU - Chang, Chun Yen
AU - Chien, Yu Ta
PY - 2015/1/1
Y1 - 2015/1/1
N2 - 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).
AB - 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).
KW - Mobile learning
KW - Mobile-assisted teaching
KW - Science teaching
KW - Teacher education
UR - http://www.scopus.com/inward/record.url?scp=84947929661&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84947929661&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-19875-0_15
DO - 10.1007/978-3-319-19875-0_15
M3 - Conference contribution
AN - SCOPUS:84947929661
SN - 9783319198743
T3 - Smart Innovation, Systems and Technologies
SP - 163
EP - 169
BT - Smart Education and Smart e-Learning
A2 - Howlett, Robert J.
A2 - Uskov, Vladimir L.
A2 - Jain, Lakhmi C.
PB - Springer Science and Business Media Deutschland GmbH
ER -