Publications
EDARXIV, 2023
Spatial inequities in advanced placement® stem success: investigating rural disparities in examination results
This study investigates the geographic landscape of student success on Advanced Placement® (AP®) examinations. Using a licensed, proprietary dataset containing the full population of AP® exams (N = 16,993,460) taken in the U.S. between 2016 and 2019, we conducted a series of multivariate regressions to estimate possible associations between a student’s school locale and AP® exam outcomes. These models include state by exam by year fixed effects and covariates to adjust for student and community demographics. We find that AP® examination success varies by geographic locale, with sizable gaps occurring between rural/non-rural students. These rural/non-rural differences widen in AP® STEM, with rural students generally scoring lower (-0.227 points ) and city students, higher (0.122 points ) than their suburban peers. These disparities widen in highly technical, high math-demand fields, as well as for the two more distant/remote locale classifications when rural is disaggregated into subtypes.
Recommended citation: Boles, K. L., & Domingue, B. W. (2023). Spatial inequities in Advanced Placement® STEM success: Investigating rural disparities in examination results. EdArXiv. 10.35542/osf.io/pzsgr
Published in AI in Learning: Designing the Future, 2023
Four surveillance technologies creating challenges for education
‘Ubiquitous AI’—embodied in cloud computing web services, coupled with sensors in phones and the physical world—is becoming infrastructural to cultural practices. It creates a surveillance society. We review the capabilities of four core surveillance technologies, all making headway into universities and preK-12 schools: (1) Location Tracking; (2) Facial Identification; (3) Automated Speech Recognition; and (4) Social Media Mining. We pose primary issues educational research should investigate on cultural practices with these technologies. We interweave three priority themes: (1) how these technologies are shaping human development and learning; (2) current algorithmic biases and access inequities; and (3) the need for learners’ critical consciousness concerning their data privacy. We close with calls to action—research, policy and law, practice.
Recommended citation: Pea, R., Biernacki, P., Bigman, M, Boles, K., Coelho, R., Docherty, V., Garcia, J., Lin, V., Nguyen, J., Pimentel, D., Pozos, R., Reynante, B., Roy, E., Southerton, E., Suzara, M., Vishwanath, A. (2023). Four surveillance technologies and challenges for education. In Niemi, H., Pea, R., & Lu, Y. (2023). (Eds.). AI in Learning: Designing the Future. Springer Nature. https://doi.org/10.1007/978-3-031-09687-7_19
Published in International Journal of Science and Mathematics Education, 2021
Learning to lead: An approach to mathematics teacher leader development
This paper describes a partnership between a university and an urban school district, formed with a goal of preparing mathematics teacher leaders to conduct professional development (PD) at their schools. The university and district partners worked together to achieve the district’s mission of providing every student with high-quality instruction and equitable learning opportunities in mathematics by building the district’s capacity to conduct school-based PD for mathematics teachers. Given the power of school-based subject-specific PD for improving instructional quality, we worked with Teacher Leaders from participating schools to prepare and support them to lead PD workshops at their schools. In this paper, we examine how Teacher Leaders learn and adapt key elements of a PD model over three school years through the lenses of Prediger et al.’s Three-Tetrahedron-Model (2019) and the university’s Learning to Lead model. Over 3 years, we see that Teacher Leaders use the key structures of the PD model; make adaptations in response to school goals, interests, and priorities; and gain confidence in their work with colleagues. By viewing the adaptations through the lens of pedagogies of practice as well as the relationships illustrated by the 3-T model, this work offers insights into the complexities of teacher leadership development.
Recommended citation: Borko, H., Carlson, J., Deutscher, R., Boles, K. L., Delaney, V., Fong, A., Jarry-Shore, M., Malamut, J., Million, S., Mozenter, S., & Villa, A. M., III (2021). Learning to lead: An approach to mathematics teacher leader development. International Journal of Science and Mathematics Education 19, 121-143. https://doi.org/10.1007/s10763-021-10157-2
Published in Mathematics Education Across Cultures: Proceedings of the 42nd Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education, Mexico, 2020
Self-directed learning for rural mathematics teachers
Teachers in rural, socio-economically disadvantaged Appalachia were invited to apply for grants in order to support their self-directed learning needs. This paper analyzes the reasons the teachers chose to apply, the people and resources they sought to learn from, and the lessons learned from their grant experiences. Findings highlight that teacher applications were motivated by two purposes: (1) preparing students for prospective future economic opportunities within the region and (2) the current learning needs of students. Teachers used grant funds to purchase materials resources and technology. When reflecting on lessons learned, some teachers reported unexpected learning around technology implementation and difficulty accessing professional expertise needed to implement their ideas.
Recommended citation: Anderson, R. K. & Boles, K. L. (2020). Self-directed learning for rural mathematics teachers. In A. I. Sacristán, J. C. Cortés-Zavala, & P. M. Ruiz-Arias (Eds.) Mathematics Education Across Cultures: Proceedings of the 42nd Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education, Mexico. (pp. 1947-1948). Cinvestav / AMIUTEM / PME-NA. https:/doi.org/10.51272/pmena.42.2020
Published in The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 4, 2020
Mathematical thinking and representational engagement of in-service secondary mathematics teachers in pattern-based algebraic growth tasks
Ten current or former secondary mathematics teachers completed a series of five pattern-based think-aloud tasks. Teachers who identified as having more experience with pattern-based tasks demonstrated more instances of relational thinking and generally less functional thinking. The converse was true of teachers who self-identified as having less experience with pattern-based tasks; these teachers who had less pattern-based experience also were more likely to rely on symbolic representation to make sense of the task, relative to their peers. Implications for teacher professional learning focused on mathematical representations are discussed.
Recommended citation: Boles, K.L. (2020). Mathematical thinking and representational engagement of in-service secondary mathematics teachers in pattern-based algebraic growth tasks. In M. Gresalfi & I. S. Horn (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 4 (pp. 2417-2418). Nashville, Tennessee: International Society of the Learning Sciences. https://repository.isls.org//handle/1/6589
Published in The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 4, 2020
Building capacity via facilitator agency: Tensions in implementing an adaptive model of professional development
Recommended citation: Boles, K.L., Jarry-Shore, M., Villa, A. M., III, Malamut, J., & Borko, H. (2020). Building capacity via facilitator agency: Tensions in implementing an adaptive model of professional development. In M. Gresalfi & I. S. Horn (Eds.), The Interdisciplinarity of the Learning Sciences, 14th International Conference of the Learning Sciences (ICLS) 2020, Volume 4 (pp. 2585-2588). Nashville, Tennessee: International Society of the Learning Sciences. https://repository.isls.org//handle/1/6625
Published in Proceedings of the Forty-First Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education, 2019
Teacher leader learning through participation in and facilitation of professional development addressing problems of practice
Recommended citation: Villa, A. M., III, Boles, K. L., Borko, H. (2019). Teacher leader learning through participation in and facilitation of professional development addressing problems of practice. In S. Otten, A. G. Candela, Z. de Araujo, C. Haines, & C. Munter (Eds.), Proceedings of the Forty-First Annual Meeting of the North American Chapter of the International Group for the Psychology of Mathematics Education (pp. 594-598). St Louis, MO: University of Missouri
Published in Proceedings of the 17th ACM Conference on Interaction Design and Children, 2018
Manipul8: An interactive experience to inspire pattern-based algebraic thinking and representational fluency
Recommended citation: Boles, K.L., Macedo, L., Proctor, C., & Blikstein, P. (2018). Manipul8: An interactive experience to inspire pattern-based algebraic thinking and representational fluency. In Proceedings of the 17th ACM Conference on Interaction Design and Children. (pp. 501-504). https://doi.org/10.1145/3202185.3210763