-
Training In-Service Teachers to Think Deeply About Modeling in the Common Core Movement
11 Oct 2016 | Teaching & Reference Material | Contributor(s): Talitha Washington
This resource has been updated - find the current version here: https://qubeshub.org/publications/242Over the years, I have conducted in-service teacher training sessions and workshops organized by the Capstone Institute at Howard University. My role has been to enhance teacher content...
-
Training In-Service Teachers to Think Deeply About Modeling in the Common Core Movement
11 Oct 2016 | Teaching & Reference Material | Contributor(s): Talitha Washington
This resource has been updated - find the current version here: https://qubeshub.org/publications/242Over the years, I have conducted in-service teacher training sessions and workshops organized by the Capstone Institute at Howard University. My role has been to enhance teacher content...
-
Two themes, one talk: Distributing quantitative faculty expertise to classrooms that need it in real-time & measuring professional contributions to undergraduate education
25 Jul 2015 | Teaching & Reference Material | Contributor(s): Jeremy M Wojdak, Sam S Donovan, Tom Gower, Kristin Jenkins
This resource has been updated - find the current version here: https://qubeshub.org/publications/230Have you ever wanted to add a quantitative project to your course, but lacked the expertise with some aspect of the software, computation, modeling, or statistics? Have you ever wished...
-
Undergraduate Research Experiences in Computational Science at a Community College
13 Jun 2015 | Teaching & Reference Material | Contributor(s): Tony Sena
This resource has been updated - find the current version here: https://qubeshub.org/publications/320We will present our experiences doing undergraduate research in the area of parallel computing and distributed systems on a multidisciplinary environment with STEM students. We show that...
-
Understanding the Quantitative and Computational Skills of Incoming Biology Students
27 Oct 2015 | Teaching & Reference Material | Contributor(s): Charles Umbanhowar Jr, Jason M Belitsky, P. Brodfuehrer, Gregory Davis, T. Haque, L. Lee, C. McFadden, Paul Overvoorde, M. Preest, Liz Stanhope, M. Vinces, Andrew Zieffler, Laura Ziegler
This resource has been updated - find the current version here: https://qubeshub.org/publications/244Insufficient mathematical preparation has been linked to the failure of incoming students to persist in STEM-related majors. In addition, recent advances in computation allow biologists...
-
Understanding the Quantitative and Computational Skills of Incoming Biology Students
27 Oct 2015 | Teaching & Reference Material | Contributor(s): Charles Umbanhowar Jr, Jason M Belitsky, P. Brodfuehrer, Gregory Davis, T. Haque, L. Lee, C. McFadden, Paul Overvoorde, M. Preest, Liz Stanhope, M. Vinces, Andrew Zieffler, Laura Ziegler
This resource has been updated - find the current version here: https://qubeshub.org/publications/244Insufficient mathematical preparation has been linked to the failure of incoming students to persist in STEM-related majors. In addition, recent advances in computation allow biologists...
-
Using Evolutionary Data in Developing Phylogenetic Trees: A Scaffolded Approach with Authentic Data
01 Oct 2015 | Teaching & Reference Material | Contributor(s): Kd Davenport, Kirsten Jane Milks, Rebecca Van Tassell
Analyzing evolutionary relationships requires that students have a thorough understanding of evidence and of how scientists use evidence to develop these relationships. In this lesson sequence, students work in groups to process many different lines of evidence of evolutionary relationships...
-
Using gross parasites to sneak even grosser equations into the introductory biology classroom
19 Jul 2015 | Teaching & Reference Material | Contributor(s): Jeremy M Wojdak
This resource has been updated - find the current version here: https://qubeshub.org/publications/234This was an oral presentation at the 2015 Annual Meeting of the American Society of Parasitologists in Omaha, NE. "College faculty that teach introductory courses often struggle to...
-
Using Online Materials/Videos to Enrich Linear Algebra for Scientists
08 Jul 2015 | Teaching & Reference Material | Contributor(s): Sarah Hews
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/785Linear algebra is an important course for biology majors but it is usually designed for math majors (emphasizing proofs) or engineers (focusing more on matrix algebra and...
-
Using Online Materials/Videos to Enrich Linear Algebra for Scientists
21 Oct 2015 | Teaching & Reference Material | Contributor(s): Sarah Hews
This resource has been updated - find the current version here: https://qubeshub.org/publications/250Linear algebra is an important course for biology majors but it is usually designed for math majors (emphasizing proofs) or engineers (focusing more on matrix algebra and algorithms)....
-
Using Online Materials/Videos to Enrich Linear Algebra for Scientists
21 Oct 2015 | Teaching & Reference Material | Contributor(s): Sarah Hews
This resource has been updated - find the current version here: https://qubeshub.org/publications/250Linear algebra is an important course for biology majors but it is usually designed for math majors (emphasizing proofs) or engineers (focusing more on matrix algebra and algorithms)....
-
Vision and Change in Undergraduate Biology Education: A Call to Action
25 May 2015 | Teaching & Reference Material
This is the final report of a national conference organized by the American Association for the Advancement of Science with support from the National Science Foundation in an effort to show how the undergraduate biology education system needs to be improved: "Given the radical changes in the...
-
Visualization: Quantitative reasoning via image analysis, networks, topology, generative models, and 3D rendering
10 Jun 2015 | Teaching & Reference Material | Contributor(s): Sam S Donovan, John R Jungck
This resource has been updated - find the current version here: https://qubeshub.org/publications/321Additional resources for:"Visualization: Quantitative reasoning via image analysis, networks, topology, generative models, and 3D rendering" by John R. JungckDate and Time:...
-
Wellesley College Study Packet for the Quantitative Reasoning Assessment
27 Mar 2015 | Teaching & Reference Material
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/782This packet contains a set of 24 practice questions and 2 full-length practice assessments for the Quantitative Reasoning Assessment for Wellesley College.
-
Wellesley College Study Packet for the Quantitative Reasoning Assessment
27 Mar 2015 | Teaching & Reference Material
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/782This packet contains a set of 24 practice questions and 2 full-length practice assessments for the Quantitative Reasoning Assessment for Wellesley College.
-
Workshop Statistics: Discovery with Data, A Bayesian Approach
25 Feb 2015 | Teaching & Reference Material | Contributor(s): Jim Albert, Allan Rossman
From the project website " Workshop Statistics: Discovery with Data, A Bayesian Approach, Key College Press; ISBN: 1930190123 (coauthored with Allan J. Rossman of Dickinson College) is a collection of classroom and homework activities designed to introduce the student to...
-
Yeast Cell Growth
19 Nov 2015 | Teaching & Reference Material | Contributor(s): Claudia Neuhauser
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/755Excel Workbook on lab data for yeast growth experiments provides a series of stepwise tasks for data analysis.
-
Yeast Cell Growth
19 Nov 2015 | Teaching & Reference Material | Contributor(s): Claudia Neuhauser
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/755Excel Workbook on lab data for yeast growth experiments provides a series of stepwise tasks for data analysis.