Maintaining a Marathon Mindset: Iowa Agricultural Education Teachers’ Implementation of the SAE for All Framework Following a Yearlong Professional Development Experience
DOI:
https://doi.org/10.5032/jae.v66i4.3247Keywords:
SAE, SAE for All, Experiential Learning, Professional Development, Work-Based LearningAbstract
A supervised agricultural experience (SAE) program provides the opportunity for agricultural education students to apply their classroom and leadership experiences to a real-world, contextualized setting. In 2015, the National Council for Agricultural Education developed the SAE for All initiative to encourage all students to develop and maintain a quality SAE program. Since SAE for All is a newer initiative, training on how to facilitate effective SAE for All is beginning to emerge for states and agricultural educators to take advantage of. The purpose of this study was to examine the successes, barriers, and impacts of SAE for All implementation among six Iowa educators who participated in a yearlong SAE for All professional development experience in a cohort model. Iowa is among one of the first states to implement SAE for All professional development experiences for agricultural educators on a state-level. This qualitative study utilized a case study approach, where artifact submission and Zoom interviews were conducted, collected, transcribed, and coded. Findings revealed grading, the use of class time, and student mentorship as key implementation strategies, while a lack of overall teacher knowledge or confidence, limited time to coordinate SAE for All efforts, and challenges with student buy-in were the most pressing barriers. However, teachers reported positive impacts of SAE for All implementation within themselves, and within their programs. As additional states begin SAE for All implementation, resource development should be prioritized to address barriers that emerge so all agricultural education can engage in real-world, contextualized experiential learning through a SAE.
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Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. DOI: https://doi.org/10.1016/0749-5978(91)90020-T
Bryant, J. (2025). Expert panel review and field testing of qualitative instruments. In Thorne, R. (Ed.) Qualitative research methods for dissertation research (pp. 221–250). IGI Global Scientific Publishing. https://doi.org/10.4018/979-8-3693-3069-2 DOI: https://doi.org/10.4018/979-8-3693-3069-2.ch008
Creswell, J. D., & Creswell, J. W. (2018). Research design: Qualitative, quantitative, and mixed methods approaches. SAGE Publications.
Creswell, J. W., & Guetterman, T. C. (2019). Educational research: Planning, conducting, and evaluating quantitative and qualitative research. Pearson.
Croom, D. B. (2008). The development of the integrated three-component model of agricultural education. Journal of Agricultural Education, 49(1), 110–120. https://doi.org/10.5032/jae.2008.01110 DOI: https://doi.org/10.5032/jae.2008.01110
DiBenedetto, C. A., Willis, V. C., & Barrick, R. K. (2018). Needs assessments for school-based agricultural education teachers: A review of literature. Journal of Agricultural Education, 59(4), 52–71. https://doi.org/10.5032/jae.2018.04052 DOI: https://doi.org/10.5032/jae.2018.04052
Doss, W., & Rayfield, J. (2019). Assessing school-based agricultural education teacher familiarity, knowledge, and perceptions of supervised agricultural experience categories. Journal of Agricultural Education, 60(3), 206–218. https://doi.org/10.5032/jae.2019.03206 DOI: https://doi.org/10.5032/jae.2019.03206
Eck, C., & Davis, R. (2024). Identifying the perceptions, barriers, and implementation of middle school supervised agricultural experiences. Journal of Agricultural Education, 65(1), 126–139. https://doi.org/10.5032/jae.v65i1.158 DOI: https://doi.org/10.5032/jae.v65i1.158
Glesne, C. (2014). Meeting qualitative inquiry. Becoming qualitative researchers: An introduction, 1–28. Pearson.
Haddad, B., & Marx, A. A. (2018). Student perceptions of soft skills & career decision self-efficacy through participation in SAE. Journal of Agricultural Education, 59(4), 159–176. https://doi.org/10.5032/jae.2018.04159 DOI: https://doi.org/10.5032/jae.2018.04159
Hainline, M., & Smalley, S. (2023). Determining the professional development needs of Iowa school-based agricultural education teachers related to program design, leadership, and SAE development. Journal of Agricultural Education, 64(1), 1–10. https://doi.org/10.5032/jae.v64i1.26 DOI: https://doi.org/10.5032/jae.v64i1.26
Hainline, M. S., Ulmer, J. D., Ritz, R. R., Burris, S., & Gibson, C. D. (2015). Career and family balance of Texas agricultural science teachers by gender. Journal of Agricultural Education, 56(4), 31–46. https://doi.org/10.5032/jae.2015.04031 DOI: https://doi.org/10.5032/jae.2015.04031
Hill, A. E., Ornelas, I., & Taylor, J. E. (2021). Agricultural labor supply. Annual Review of Resource Economics, 13(1), 39–64. https://doi.org/10.1146/annurev-resource-101620-080426 DOI: https://doi.org/10.1146/annurev-resource-101620-080426
Lewis, L. J., Rayfield, J., & Moore, L. L. (2012). An assessment of students’ perceptions toward factors influencing supervised agricultural experience participation. Journal of Agricultural Education, 53(4), 55–69. https://doi.org/10.5032/jae.2012.04055 DOI: https://doi.org/10.5032/jae.2012.04055
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage Publications. DOI: https://doi.org/10.1016/0147-1767(85)90062-8
Marzolino, T., & McKim, A. (2024). Teacher perceptions of student growth and successful supervised agricultural experiences. Journal of Agricultural Education, 65(2), 71–85. https://doi.org/10.5032/jae.v65i2.120 DOI: https://doi.org/10.5032/jae.v65i2.120
Maxwell, J. A. (2013). Qualitative research design: An interactive approach (3rd ed.). SAGE Publications.
Merriam, S. B., & Tisdell, E. J. (2016). Qualitative research: A guide to design and implementation (4th ed.). Wiley.
Mouser, D. M., Sheng, Z., & Thoron, A. C. (2019). Are agriculture students more career ready? A comparative analysis of Illinois juniors. Journal of Agricultural Education, 60(2), 15–27. https://doi.org/10.5032/jae.2019.02015 DOI: https://doi.org/10.5032/jae.2019.02015
Mwita, K. (2022). Factors influencing data saturation in qualitative studies. International Journal of Research in Business and Social Science (2147-4478), 11(4), 414–420. ttps://doi.org/10.20525/ijrbs.v11i4.1776 DOI: https://doi.org/10.20525/ijrbs.v11i4.1776
National Council for Agricultural Education. (2015). Philosophy and guiding principles for execution of the supervised agricultural experience component of the total school based agricultural education program. https://ffa.app.box.com/s/i8ntesw8zsajaxxdnj5cle6zaf0a6za3
Onwuegbuzie, A. J., & Leech, N.L. (2007). Validity and qualitative research: An oxymoron? Quality & Quantity, 41, 233–249. https://doi.org/10.1007/s11135-006-9000-3 DOI: https://doi.org/10.1007/s11135-006-9000-3
Rank, B. D., & Retallick, M. S. (2016). Synthesis of contemporary SAE research 1994–2014. Journal of Agricultural Education, 57(4), 131–145. https://doi.org/10.5032/jae.2016.04131 DOI: https://doi.org/10.5032/jae.2016.04131
Rank, B. D., & Retallick, M. S. (2017). Supervised agricultural experience instruction in agricultural teacher education programs: A national descriptive study. Journal of Agricultural Education, 58(2), 143–169. https://doi.org/10.5032/jae.2017.02143 DOI: https://doi.org/10.5032/jae.2017.02143
Retallick, M. S. (2010). Implementation of supervised agricultural experience programs: The agriculture teachers’ perspective. Journal of Agricultural Education, 51(4), 59–70. https://doi.org/10.5032/jae.2010.04059 DOI: https://doi.org/10.5032/jae.2010.04059
Rubenstein, E. D., & Thoron, A. C. (2015). Supervised agricultural experience programs: An examination of committed teachers and student-centered programs. Journal of Agricultural Education, 56(4), 75–89. https://doi.org/10.5032/jae.2015.04075 DOI: https://doi.org/10.5032/jae.2015.04075
Rubenstein, E. D., Thoron, A. C., Colclasure, B. C., & Gordon, J. A. (2016). Supervised agricultural experience programs: An examination of the development and implementation of urban programs. Journal of Agricultural Education, 57(4), 217–233. https://doi.org/10.5032/jae.2016.04217 DOI: https://doi.org/10.5032/jae.2016.04217
Sansom, R. (2021). Theory of planned behavior. https://ascnhighered.org/ASCN/change_theories/collection/planned_behavior.html
Smith, K. L., & Rayfield, J. (2016). An early historical examination of the educational intent of supervised agricultural experiences (SAEs) and project-based learning in agricultural education. Journal of Agricultural Education, 57(2), 146–160. https://doi.org/10.5032/jae.2016.02146 DOI: https://doi.org/10.5032/jae.2016.02146
Surrette, T., N. (2020). Influence of mentoring and professional communities on the professional development of a cohort of early career secondary mathematics and science teachers. School of Science and Mathematics, 120(3), 175–188. https://doi.org/10.1111/ssm.12392 DOI: https://doi.org/10.1111/ssm.12392
Thomas, D. R. (2006). A general inductive approach for analyzing qualitative evaluation data. American Journal of Evaluation, 27(2), 237–246. https://doi.org/10.1177/1098214005283748 DOI: https://doi.org/10.1177/1098214005283748
Toombs, J. M., Eck, C. J., & Robinson, J. S. (2022). The impact of a project-based learning experience on the SAE self-efficacy of preservice teachers. Journal of Agricultural Education, 63(1), 29–46. https://doi.org/10.5032/jae.2022.01029 DOI: https://doi.org/10.5032/jae.2022.01029
Wilson, E. B., & Moore, G. E. (2007). Exploring the paradox of supervised agricultural experience programs in agricultural education. Journal of Agricultural Education, 48(4), 82–92. https://doi.org/10.5032/jae.2007.04082 DOI: https://doi.org/10.5032/jae.2007.04082
Yin, R. K. (2018). Case study research and applications: Design and methods (6th ed.). SAGE Publications.