Abstract More research related to effective ways to support and retain teachers in the teaching profession is necessary as the need for science and mathematics teachers continues to grow. Understanding how teachers perceive challenges and experience support early in their career can contribute to building environments which foster teacher retention. This mixed‐method study explored the influences on the self‐efficacy and career satisfaction of a group of 21 early‐career (2–6 years of classroom experience) secondary science and mathematics teachers who participated in a traditional university preparation program and scholarship program to prepare them for teaching in high‐need school districts. Using data from an efficacy survey and semistructured interviews, this study measured changes in teacher efficacy and described teacher leadership experiences, perceived teaching challenges, and valued supports. Results found no change in teachers' self‐efficacy scores although mean outcome expectancy scores decreased. Teachers' identification as a teacher leader was correlated with science or mathematics teaching self‐efficacy. Qualitative coding of the interviews revealed ways in which assessments, workload, school structures and polices, administration, students, and teacher community either contributed to teachers reported difficulties or supported them as early‐career teachers. The discussion offers suggestions for ways to increase secondary science and mathematics teachers' job satisfaction.
more »
« less
The Role of Teaching Self-Efficacy in Electrical and Computer Engineering Faculty Teaching Satisfaction
The Role of Teaching Self-Efficacy in Electrical and Computer Engineering Faculty Teaching Satisfaction We request this abstract as a Research Paper. Electrical and computer engineering (ECpE) faculty are under increasing pressure to teach more undergraduate students, generate more funding, produce scholarship, and mentor more graduate students. Moreover, reduced budgets for universities result in an inability to replace faculty, minimal annual raises, and fewer teaching assistants, all of which affect faculty well-being at work. Well-being for faculty in general has been shown to relate to retention and faculty job performance. The present study focuses on one element of faculty well-being, namely faculty’s satisfaction with their teaching roles. Our first purpose was to examine if, in line with previous research, environmental supports (e.g., support of the university, department, colleagues, chair) contribute to ECSE faculty’s teaching satisfaction. The second purpose of the study was to anchor the study using self-determination theory (SDT; Ryan & Deci, 2000). SDT posits that satisfaction of three basic psychological needs would add additional predictive power beyond work environment supports to impact faculty well-being. The need measured in this paper was perceived competence specific to teaching (i.e., the need to perceive oneself as efficacious in teaching). Hierarchical regression models were estimated to answer the two research questions, namely (1) does environmental support significantly predict teaching satisfaction and (2) does teaching self-efficacy make a significant contribution to predicting teaching satisfaction beyond the predictive power of each environmental support variable? Four analyses were conducted with each environmental support variable entered in step one (university, department, colleague, chair) and with teaching self-efficacy added in step two of the regression analyses. In step one of all four analyses, the environmental supports separately each significantly predicted teaching satisfaction: (a) university support accounted for 26% of the variance in teaching satisfaction, (b) departmental support accounted for 59% of the variance in teaching satisfaction, (c) colleague support accounted for 23% of the variance in teaching satisfaction, and (d) chair support accounted for 28% of the variance in teaching satisfaction. In step two of all four analyses, adding teaching self-efficacy to this model significantly predicted additional variance in teaching satisfaction beyond each environmental support. After university support, it contributed an additional 21% of variance in teaching satisfaction. After departmental support, it contributed an additional 6% of the variance in teaching satisfaction. After colleague support, it contributed an additional 20% of variation in teaching satisfaction. After chair support, it accounted for an additional 9% of variation in teaching satisfaction. These results lead to the conclusion that these four environmental supports and teaching self-efficacy collectively made a large contribution (together explaining 43% to 65% of the variance) to the prediction of faculty teaching satisfaction. These effects are large enough for administrators to target these factors as they seek to increase ECpE faculty satisfaction with teaching, potentially leading to better teaching performance and retention. Consistent with SDT, these findings suggest that leadership would do well to prioritize efforts to support teaching self-efficacy within their departments as a means to enhance faculty well-being.
more »
« less
- Award ID(s):
- 1623125
- PAR ID:
- 10337954
- Date Published:
- Journal Name:
- 2020 ASEE Virtual Annual Conference
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Changing Electrical and Computer Engineering Department Culture from the Bottom Up: Action Plans Generated from Faculty Interviews We prefer a Lessons Learned Paper. In a collaborative effort between a RED: Revolutionizing Engineering and Computer Science Departments (RED) National Science Foundation grant awarded to an electrical and computer engineering department (ECpE) and a broader, university-wide ADVANCE program, ECpE faculty were invited to participate in focus groups to evaluate the culture of their department, to further department goals, and to facilitate long-term planning. Forty-four ECpE faculty members from a large Midwestern university participated in these interviews, which were specifically focused on departmental support and challenges, distribution of resources, faculty workload, career/family balance, mentoring, faculty professional development, productivity, recruitment, and diversity. Faculty were interviewed in groups according to rank, and issues important to particular subcategories of faculty (e.g., rank, gender, etc.) were noted. Data were analyzed by a social scientist using the full transcript of each interview/focus group and the NVivo 12 Qualitative Research Software Program. She presented the written report to the entire faculty. Based on the results of the focus groups, the ECpE department developed an action plan with six main thrusts for improving departmental culture and encouraging departmental change and transformation. 1. Department Interactions – Encourage open dialogue and consider department retreats. Academic areas should be held accountable for the working environment and encouraged to discuss department-related issues. 2. Mentoring, Promotion, and Evaluation – Continue mentoring junior faculty. Improve the clarity of P&T operational documents and seek faculty input on the evaluation system. 3. Teaching Loads – Investigate teaching assistant (TA) allocation models and explore models for teaching loads. Develop a TA performance evaluation system and return TA support to levels seen in the 2010 timeframe. Improvements to teaching evaluations should consider differential workloads, clarifying expectations for senior advising, and hiring more faculty for undergraduate-heavy areas. 4. Diversity, Equity, and Inclusion – Enact an explicit focus on diversity in hiring. Review departmental policies on inclusive teaching and learning environments. 5. Building – Communicate with upper administration about the need for a new building. Explore possibilities for collaborations with Computer Science on a joint building. 6. Support Staff – Increase communication with the department regarding new service delivery models. Request additional support for Human Resources, communications, and finance. Recognize staff excellence at the annual department banquet and through college/university awards.more » « less
-
In this research-based paper, we explore the relationships among Rice University STEM students’ high school preparation, psychological characteristics, and career aspirations. Although greater high school preparation in STEM coursework predicts higher STEM retention and performance in college [1], objective academic preparation and college performance do not fully explain STEM retention decisions, and the students who leave STEM are often not the lowest performing students [2]. Certain psychosocial experiences may also influence students’ STEM decisions. We explored the predictive validity of 1) a STEM diagnostic exam as an objective measure of high school science and math preparation and 2) self-efficacy as a psychological measure on long-term (three years later) STEM career aspirations and STEM identity of underprepared Rice STEM students. University administrators use diagnostic exam scores (along with other evidence of high school underpreparation) to identify students who might benefit from additional support. Using linear regression to explore the link between diagnostic exam scores and self-efficacy, exam scores predicted self-efficacy a semester after students’ first semester in college; exam scores were also marginally correlated with self-efficacy three years later. Early STEM career aspirations predicted later career aspirations, accounting for 21.3% of the variance of career outcome expectations three years later (β=.462, p=.006). Scores on the math diagnostic exam accounted for an additional 10.1% of the variance in students’ three-year STEM career aspirations (p=.041). Self-efficacy after students’ first semester did not predict future STEM aspirations. Early STEM identity explained 28.8% of the variance in three-year STEM identity (p=.001). Math diagnostic exam scores accounted for only marginal incremental variance after STEM identity, and self-efficacy after students’ first semester did not predict three-year STEM aspirations. Overall, we found that the diagnostic exam provided incremental predictive validity in STEM career aspirations after students’ sixth semester of college, indicating that early STEM preparation has long-lasting ramifications for students’ STEM career intentions. Our next steps include examining whether students’ diagnostic exam scores predict STEM graduation rates and final GPAs for science and math versus engineering majors.more » « less
-
This work-in-progress paper seeks to examine faculty choice of teaching strategies to improve students’ engineering self-efficacy [1], [2] (belief in one’s abilities to successfully accomplish tasks in engineering) as well as their reflections on the effectiveness of the teaching strategy. Increases in self-efficacy have been related to improved academic and career outcomes [3], especially for women in non-traditional fields such as engineering. The goal of the study is to determine simple yet effective strategies that can be implemented in engineering classrooms to improve self-efficacy. Seven engineering faculty members participated in a faculty learning community (FLC), a semester long program to learn about teaching strategies in each of the four areas of self-efficacy; mastery experiences (e.g., active learning, scaffolding), vicarious learning (e.g., guest lectures, peer mentors, group work), social persuasion (e.g., constructive feedback, positive self-talk), and emotional arousal (e.g., test anxiety, building rapport). The faculty then chose and implemented strategies in each of the four areas in one of their engineering courses. Monthly meetings of the FLC during implementation allowed faculty to share their experiences and suggestions for refinements in their teaching strategy. The paper examines the faculty member choice (why they chose to use particular strategies in their course) as well as their reflections on how well the strategy worked (impact on student learning vs ease of implementation). In addition, the paper examines in-class observations and student survey responses to determine if they felt a particular strategy was useful. The research seeks to identify strategies that faculty members chose and are viewed as effective by both the faculty and students. The presentation will seek additional feedback from the wider community on the effectiveness of teaching strategies to improve self-efficacy and future work will include the analysis of additional surveys that were administered to measure student self-efficacy with the goal of determining simple and effective strategies that can be implemented in engineering classrooms.more » « less
-
With technologies changing faster than ever before, engineering faculty must continuously update the technologies they use and teach to students to meet accreditation requirements and keep up with industry standards. Many do not, however. Additionally, existing models of technology adoption do not account for all variability within intention to use a technology, nor its actual use. Informed by the Unified Theory of Acceptance and Use of Technology (UTAUT), this study examined which constructs from prior models apply to engineering faculty’s adoption of industry-specific technologies, as well as other factors influencing faculty adoption of these technologies for their teaching or research. We interviewed 21 engineering faculty at a Midwestern United States STEM-focused institution about their adoption of engineering technologies. Deductive and inductive coding were used to identify themes within the qualitative data. Constructs from existing models were confirmed to influence faculty engineering technology adoption. We also identified specific Facilitating Conditions (Other People, Digital Resources, Non-Digital Resources, Time, and Formal Training) that faculty leverage to adopt new engineering technologies, and uncovered two additional themes—Access and Personal Traits, including several component traits (Persistence, Humility, Self Efficacy, Growth Mindset, Ambiguity Acceptance, and Curiosity) that influence faculty engineering technology adoption. We propose a new Theory of Faculty Adoption of Engineering Technologies specific to faculty adoption of new engineering technologies. These findings have the potential to help universities determine how to effectively support faculty in providing their students with relevant technological skills for entry into the engineering workforce.more » « less
An official website of the United States government

