The substitution, augmentation, modification, and redefinition (SAMR) model is designed to help teachers integrate technology in the classroom. In a district with 1:1 mobile technology, teachers expressed frustration and inconsistency about the use the SAMR model for effective teaching and learning. In this project study, the SAMR model conceptually framed the exploration of teachers' integration of mobile learning and their perceptions about using technology in the classroom. Guiding research questions addressed teacher's integration of the SAMR model and elements that contributed to their instruction with mobile technology. A qualitative case study of a school district included purposeful sampling of 12 new or novice special education, mathematics, physical education and science teachers who had integrated technology in their instruction. Data sources included semistructured interviews, review of artifacts such as lesson plans or curriculum guides, and subsequent observations of their classroom instruction. Interviews were transcribed and coded to identify themes. Observations were documented by using a checklist and data were analyzed using the SAMR model to determine levels of technology integration. The content of artifacts was analyzed to explore congruence in the data. Teachers demonstrated low enhancement levels of the SAMR model for technology integration and described elements of productivity use or student engagement as contributions to their curricular modification. The findings were used to formulate a professional development plan for teachers to design effective technology-integrated curricula. This study may impact positive social change by providing a model to assist other districts with similar inconsistencies in the modification of instruction for mobile learning environments to enhance teaching and learning.
Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-5452 |
Date | 01 January 2017 |
Creators | Beisel, Carolyn Anne |
Publisher | ScholarWorks |
Source Sets | Walden University |
Language | English |
Detected Language | English |
Type | text |
Format | application/pdf |
Source | Walden Dissertations and Doctoral Studies |
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