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Orchestrating the XO computer with digital and conventional resources to teach mathematics.
- Source :
- Journal of Computer Assisted Learning; Jun2015, Vol. 31 Issue 3, p202-219, 18p, 4 Black and White Photographs, 13 Charts
- Publication Year :
- 2015
-
Abstract
- Recent research has suggested that simply providing each child with a computer does not lead to an improvement in learning. Given that dozens of countries across the world are purchasing computers for their students, we ask which elements are necessary to improve learning when introducing digital resources into the classroom. Understood the orchestration as the coordination of conventional and digital resources, we examine whether effective resource orchestration improves student learning. To do so, an 8-month study was undertaken across 17 schools in Uruguay, involving 544 fourth grade students. A treatment group worked under an orchestrated strategy, while a control group followed the national strategy, which includes the One Laptop per Child Computer ( XO). Our study confirmed that the national strategy alone is capable of producing significant progress in student learning. However, we also found that the orchestration produces a statistically significant improvement in the results when compared to the control group. The main finding indicates that when teachers have an orchestrated strategy to integrate digital and non-digital resources, student learning is enhanced in relation to the curricular objectives. Finally, we discovered that learning is improved in the treatment group when there is systematic use of resources, and when the school's infrastructure facilitates the use of the technology. [ABSTRACT FROM AUTHOR]
- Subjects :
- ACADEMIC achievement
ANALYSIS of covariance
COMPUTER assisted instruction
STATISTICAL correlation
LEARNING strategies
MATHEMATICS
RESEARCH methodology
PROBABILITY theory
RESEARCH funding
STATISTICS
INFORMATION resources
DATA analysis
QUANTITATIVE research
TEACHING methods
EFFECT sizes (Statistics)
EDUCATIONAL outcomes
DESCRIPTIVE statistics
CHILDREN
Subjects
Details
- Language :
- English
- ISSN :
- 02664909
- Volume :
- 31
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Journal of Computer Assisted Learning
- Publication Type :
- Academic Journal
- Accession number :
- 102186311
- Full Text :
- https://doi.org/10.1111/jcal.12081