Filtering by
- All Subjects: Self-efficacy
- Creators: Ganesh, Tirupalavanam
- Member of: Theses and Dissertations
This study followed thirty-seven teacher mentors through the first half of the Arizona K12 Center’s Professional Learning Series – Mentor Academy Year 1. Teacher mentors were given a pre-survey upon their first day in the training series, a mid-point survey halfway through the semester and a post-survey at the beginning of the following semester. Teacher mentor self-efficacy data was collected from the surveys and analyzed to determine the impact their participation in the training program had on their self-efficacy. Five random teacher mentors were also selected for interviews. This qualitative data were collected to compliment the quantitative survey data. The second part of the study consisted of interviewing six teacher mentors in a local secondary education school district to gauge the impact the peer mentor shadowing program had on their self-efficacy. Quantitative and qualitative data collected provided insights on the impact these supports had on teacher mentor self-efficacy.
The results of this study indicate the challenge and complexities of being a teacher mentor. The data showed that teacher mentors who lacked training prior to or upon initial entry into their new position of teacher mentor struggled to be effective which negatively affected their self-efficacy. The data also indicated that teacher mentors who participated in the Arizona K12 Center’s mentor training program had greater self-efficacy for their roles. Finally, teacher mentors participating in peer mentor shadowing opportunities found it to be of the greatest impact leading to stronger self-efficacy.
Self-efficacy in engineering, engineering identity, and coping in engineering have been shown in previous studies to be highly important in the advancement of one’s development in the field of engineering. Through the creation and deployment of a 17 question survey, undergraduate and first year masters students were asked to provide information on their engagement at their university, their demographic information, and to rank their level of agreement with 22 statements relating to the aforementioned ideas. Using the results from the collected data, exploratory factor analysis was completed to identify the factors that existed and any correlations. No statistically significant correlations between the identified three factors and demographic or engagement information were found. There needs to be a significant increase in the data sample size for statistically significant results to be found. Additionally, there is future work needed in the creation of an engagement measure that successfully reflects the level and impact of participation in engineering activities beyond traditional coursework.