-
Science Learning Spaces in undergraduate courses ( virtual and face to face) : Impact of Technology, Resources and Active Learning Activities
11 Aug 2024 | Teaching Materials | Contributor(s):
By Dr Pankaj Mehrotra
University of the People, California, United States of America
Science Learning Spaces are evolving in both face to face and virtual learning environments. Effective utilization and identification of appropriate learning spaces helps in formation of engaging...
https://qubeshub.org/publications/4924/?v=1
-
Evaluation of DEIJ in Lectures of Junior Year Science Undergraduate Course
03 Jun 2024 | Teaching Materials | Contributor(s):
By Naziea Fruits1, Dr Pankaj Mehrotra2
1. Bates College, Lewiston, Maine 2. University of the People, California, United States of America
Diversity, equity, inclusion, and social justice, DEIJ, is important for both students and faculty as they improve learning outcomes and elicit professional competency respectively. DEIJ...
https://qubeshub.org/publications/4831/?v=1
-
Learning Journal Assignment on Biofilms
20 Feb 2024 | Teaching Materials | Contributor(s):
By Dr Pankaj Mehrotra1, Dr David Bergmann2
1. University of the People, California, United States of America 2. Black Hills State University, Spearfish, South Dakota
This is a learning journal assignment with constructive response questions on Biofilms which undergraduate students can complete with aid of reading a research article and listening to a podcast.
https://qubeshub.org/publications/4645/?v=1
-
6-015-CombatingEbolaEpidemic-ModelingScenario
17 May 2022 | Teaching Materials | Contributor(s):
By Jonathan Paynter1, Patrick Mugg1, LAmar Adams1
United States Military Academy, West Point NY USA
This project offers students a chance to make a policy recommendation based on analysis of a nonlinear system of differential equations (disease model). The scenario is taken from the fall of 2014...
https://qubeshub.org/publications/3099/?v=1
-
Randall LaRue Moser Jr
https://qubeshub.org/community/members/19521
-
Software suggestion for sequence data: MEGA
Check out this intro-level, user-friendly GUI application MEGA: Molecular Evolutionary Genetics Analysis.
https://www.megasoftware.net/
https://qubeshub.org/community/projects/ecosystemdiversit/notes/Softwaresuggestionforsequencedata:MEGA
-
Kwame Atta Gyamfi
https://qubeshub.org/community/members/8344