Laboratory Medicine Commons^™

Generative Ai In Medical Laboratory Science, Shannon Jongeward

AI Assignment Library

This assignment is part of MLS 339 Introduction to Evidence-Based Practice. Students are introduced to Generative AI concepts, including ChatGPT, and then complete a related assignment. To complete the assignment, students generate a simple essay using ChatGPT and analyze the passage generated.

Transformed Writing: Ai Applications, Brooke Solberg

AI Assignment Library

In this assignment, students assess a ChatGPT output as compared to a scholarly outline they have generated on the topic. The assessment includes analysis of accuracy, relevance, and missing or excessive information. Students then utilize their assessment, along with their scholarly outline, to formulate a new scholarly output that is in their own words and properly sourced.

Simtutor Module: Antibodies, Heather Gilbert

Teaching, Learning, and Scholarship (TLAS) Academy Projects

Antibody simulation module developed for use in MLS 226: Introduction to Clinical Immunology and Molecular Diagnostics. The module was designed to reinforce lecture material and was developed utilizing SimTutor software.

Learning outcomes:

1. Define antibody.
2. Differentiate between innate and adaptive immunity.
3. Differentiate between cellular and humoral immunity.
4. Describe the four pathways of antibody acquisition.
5. Identify the three functions of an antibody.
6. Identify and describe the structure of an antibody including the following components and regions: light chain, heavy chain, constant region, variable region, Fc Fragment, Fab Fragment, and hinge region.
7. List the antibody classes and their key features.
8. Differentiate between the …