As a result of the increased inclusion of engineering and computer science standards for K-6 schools nationwide, there is a need to better understand how teacher educators can help develop preservice teachers’ (PSTs’) teaching self-efficacy in these areas. Ed+gineering provides novel opportunities for PSTs to experience teaching and learning engineering and coding content by building COVID-companion robots. Growing evidence supports robotics as a powerful approach to STEM learning for PSTs. In this study, Ed+gineering examined three cases to explore this overarching question: In what ways did PSTs’ virtual robotics project experience develop their self-efficacy for teaching engineering and coding? Three PST cases were examined, within the context of their work with other team members (i.e., undergraduate engineering student(s), 5th graders). To understand each of three PSTs’ virtual robotics project experiences, multiple data sources were collected and analyzed which includes mid- and post-semester CATME, end of course short-answer reflections, follow up interviews (including a modified Big Five personality inventory), and Zoom session recordings. Elementary PSTs Brenda, Erica, and Sarah experienced various levels of commitment and engagement in their five Zoom sessions. These factors, along with other personal and external influences, contributed to Bandura’s four identified sources of self-efficacy. This study examines these contributing factors to create an initial working model of how PSTs develop teaching self-efficacy. In this conference session, science teacher educators will learn more about this model and pedagogical decisions that seemed to influence PST’s self-efficacy for teaching engineering and computer science.
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Teaching to whom and with whom: the role of context in developing preservice teachers’ self-efficacy for teaching engineering and coding via robotics
Abstract Due to mandates for the inclusion of engineering and computer science standards for K-6 schools nationwide, there is a need to understand how teacher educators can help develop preservice teachers’ (PSTs’) teaching self-efficacy in these areas. To provide experience teaching and learning engineering and coding, PSTs in an instructional technology course were partnered with undergraduate engineering students in an electromechanical systems course to teach robotics lessons to fifth graders (10–11 year olds) over Zoom. A multi-case study approach explored teaching self-efficacy development for three preservice teachers during their robotics project experiences using multiple data sources, including surveys, reflections, interviews, and Zoom recordings, which were examined to identify how the project's social and intrapersonal context influenced the development of each PST’s teaching self-efficacy for engineering and coding. The PSTs gained teaching self-efficacy through all four sources of teaching self-efficacy, although not all PSTs benefited from all four types, nor did they benefit equally. These sources also influenced the PSTs’ intention to integrate engineering and coding into their future classrooms. This study demonstrates the potential of providing PSTs with the opportunity to teach robotics to children during their teacher preparation programs to support the development of their teaching self-efficacy for engineering and coding. When conducted in the context of a college course, such opportunities can be thoughtfully structured to leverage positive interactions with peers and elementary students and to take advantage of low-stakes environments, like afterschool clubs, offering PSTs settings rich in sources of self-efficacy information.
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- PAR ID:
- 10656250
- Publisher / Repository:
- Springer Nature
- Date Published:
- Journal Name:
- International Journal of Technology and Design Education
- Volume:
- 35
- Issue:
- 4
- ISSN:
- 0957-7572
- Page Range / eLocation ID:
- 1515 to 1542
- Subject(s) / Keyword(s):
- Engineering education Preservice teacher preparation Teacher self-efficacy Engineering Robotics Coding
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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