Undergraduate research is increasingly prevalent in many fields of study, but it is not yet widespread in mathematics education. We argue that expanding undergraduate research opportunities in mathematics education would be beneficial to the field. Such opportunities can be impactful as either extracurricular or course-embedded experiences. To help readers envision directions for undergraduate research experiences in mathematics education with prospective teachers, we describe a model built on a design-based research paradigm. The model engages pairs of prospective teachers in working with faculty mentors to design instructional sequences and test the extent to which they support children’s learning. Undergraduates learn about the nature of systematic mathematics education research and how careful analyses of classroom data can guide practice. Mentors gain opportunities to pursue their personal research interests while guiding undergraduate pairs. We explain how implementing the core cycle of the model, whether on a small or large scale, can help teachers make instructional decisions that are based on rich, qualitative classroom data.
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Supporting Computational Apprenticeship Through Educational and Software Infrastructure: A Case Study in a Mathematical Oncology Research Lab
There is growing awareness of the need for mathematics and computing to quantitatively understand the complex dynamics and feedbacks in the life sciences. Although several institutions and research groups are conducting pioneering multidisciplinary research, communication and education across fields remain a bottleneck. The opportunity is ripe for using education research-supported mechanisms of cross-disciplinary training at the intersection of mathematics, computation, and biology. This case study uses the computational apprenticeship theoretical framework to describe the efforts of a computational biology lab to rapidly prototype, test, and refine a mentorship infrastructure for undergraduate research experiences. We describe the challenges, benefits, and lessons learned, as well as the utility of the computational apprenticeship framework in supporting computational/math students learning and contributing to biology, and biologists in learning computational methods. We also explore implications for undergraduate classroom instruction and cross-disciplinary scientific communication.
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- Award ID(s):
- 1818187
- NSF-PAR ID:
- 10475681
- Publisher / Repository:
- Taylor & Francis Online
- Date Published:
- Journal Name:
- PRIMUS
- Volume:
- 32
- Issue:
- 3
- ISSN:
- 1051-1970
- Page Range / eLocation ID:
- 446 to 467
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Abstract The (STEM)2Network (Sustainable, Transformative Engagement across a Multi-Institution/Multidisciplinary STEM Network) is a National Science Foundation Research Coordination Network-Undergraduate Biology Education funded project intended to bridge disciplinary and institutional silos that function as barriers to systemic change in science, technology, engineering, and mathematics (STEM) in higher education. We utilized three foundational frameworks to develop an adaptable model that we posit is applicable across contexts. The model includes a core infrastructure that, combined with intentional self-reflection, results in an adaptable design that can be tailored to individual institutions, contexts, and goals. Herein, we describe the inception of the network, the foundational theoretical frameworks that guide network development and growth, and detail network structure and operations with the intention of supporting others in creating their own networks. We share the nuts and bolts of how we developed the (STEM)2Network, and include a supplemental network development planning guide to support others in utilizing the (STEM)2Network model to reach their own objectives.
- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1080/10511970.2021.1881849
