Many elementary students struggle to meet expectations on mathematics assessments despite an increase in science, technology, engineering, and math instructional strategies. The purpose of this qualitative case study was to explore elementary math teachers' technology integration self-efficacy, their level of technology adoption, and their actual technology integration behavior. The conceptual framework used in this study included Bandura's social cognitive theory, which is often used in the investigation of self-efficacy. Additionally, the International Society for Technology Education Classroom Tool, which is in alignment with the National Educational Standards for Teachers, was used to gauge the level of technology integration in the classroom. Nine volunteer teachers in Grades 3-5 participated in surveys, observations, and follow-up interviews. Data were analyzed using open coding to identify themes and patterns. The findings from this study indicated that the teachers' perceptions were positive as they believed technology could have positive implications for the teaching and learning process. However, findings also indicated that not all the teachers in the study felt confident with using technology in their practice. These teachers indicated that there was a need for onsite support, peer mentoring and professional development geared towards effectively aligning content, pedagogy, and technology. The information from this study may add more to the body of knowledge on information and communications technologies adoption and integration. The social change potential in this study is that through confident teachers in mathematics, and technology integration, students may improve their skills to be competitive for employment and opportunities in a global marketplace.
| Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-6012 |
| Date | 01 January 2018 |
| Creators | Huzzie-Brown, Annette |
| 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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