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With college advisory boards and potential employers consistently voicing their desire for engineers and scientists who can communicate well, work effectively in teams, and independently problem-solve, the Colleges of Engineering & Computer Science (ECS) and Natural Sciences and Mathematics (NSM) at Sacramento State University, a large, public, primarily undergraduate institution, have deployed two programs to explicitly address these skills for undergraduate science, technology, engineering, and mathematics (STEM) students. The goals of the NSF-funded Achieving STEM Persistence through Peer-Assisted Learning and Leadership Development (ASPIRE) project are to increase retention and decrease time to graduation for STEM students, as well as increase retention of women and underrepresented minorities (URM) in the STEM workforce by implementing evidence-based practices to promote student success during two critical transitions: 1) from lower-division to upper-division coursework in engineering; and 2) from upper-division coursework to an entry-level STEM career. ASPIRE aims to achieve these goals by: 1) adapting and implementing the NSM Peer Assisted Learning (PAL) program in gateway engineering courses; and 2) developing the Hornet Leadership Program which includes scaffolded opportunities for students to explore their leadership capacity and develop leadership skills. The main research questions for this study include: (1) Will the ECS PAL model and Hornet Leadership Program result in increased persistence and workforce readiness in STEM majors at a large, diverse university? (2) What attitude changes will this project have on students and faculty and the relationships between them? The first question is addressed through pre- and post-implementation student surveys and student course/GPA data. The second question is addressed through faculty surveys, faculty focus groups/interviews, and pre- and post-data from a faculty professional development workshop. In general, preliminary results from this study indicate the new ECS PAL program successfully attracts URM students and thus has the potential to support their persistence and STEM workforce readiness. Additionally, undergraduate students across both Colleges who participated in the inaugural Hornet Leadership Program gained non-technical skills and experiences directly linked to competitiveness and preparation for workforce entry and graduate programs. Finally, faculty surveys and the faculty professional development workshop indicate that faculty value student leadership development, but identify barriers to accomplishing this work.
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Developing a flexible learning activity on biodiversity and spatial scale concepts using open‐access vegetation datasets from the National Ecological Observatory Network
Biodiversity is a complex, yet essential, concept for undergraduate students in ecology and other natural sciences to grasp. As beginner scientists, students must learn to recognize, describe, and interpret patterns of biodiversity across various spatial scales and understand their relationships with ecological processes and human influences. It is also increasingly important for undergraduate programs in ecology and related disciplines to provide students with experiences working with large ecological datasets to develop students’ data science skills and their ability to consider how ecological processes that operate at broader spatial scales (macroscale) affect local ecosystems. To support the goals of improving student understanding of macroscale ecology and biodiversity at multiple spatial scales, we formed an interdisciplinary team that included grant personnel, scientists, and faculty from ecology and spatial sciences to design a flexible learning activity to teach macroscale biodiversity concepts using large datasets from the National Ecological Observatory Network (NEON). We piloted this learning activity in six courses enrolling a total of 109 students, ranging from midlevel ecology and GIS/remote sensing courses, to upper-level conservation biology. Using our classroom experiences and a pre/post assessment framework, we evaluated whether our learning activity resulted in increased student understanding of macroscale ecology and biodiversity concepts and increased familiarity with analysis techniques, software programs, and large spatio-ecological datasets. Overall, results suggest that our learning activity improved student understanding of biological diversity, biodiversity metrics, and patterns of biodiversity across several spatial scales. Participating faculty reflected on what went well and what would benefit from changes, and we offer suggestions for implementation of the learning activity based on this feedback. This learning activity introduced students to macroscale ecology and built student skills in working with big data (i.e., large datasets) and performing basic quantitative analyses, skills that are essential for the next generation of ecologists.
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- PAR ID:
- 10218712
- Date Published:
- Journal Name:
- Ecology and Evolution
- ISSN:
- 2045-7758
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
-
Accepted Manuscript
- Journal Article:
- https://doi.org/10.1002/ece3.7385
