Academic Technology

Permanent URI for this collection


Recent Submissions

Now showing 1 - 2 of 2
  • Item
    Factors Contributing to Bd (Batrachochytrium dendrobatidis) Susceptibility in Columbia Spotted Frogs (Rana luteiventris)
    (2023-04-28) Cortner, Matthew; Flynn, Alex; Sheafor, Brandon
    The fungal pathogen Batrachochytrium dendrobatidis (Bd) (Figure 1.) is the known causal agent of chytridiomycosis, a disease responsible for catastrophic amphibian declines across the world (Crawford et al. 2010). Bd is a saprotrophic fungus and is one of two known species within its Order understood to parasitize vertebrates (Rosenblum et al. 2010). In amphibians, Bd is able to penetrate and reproduce within the epidermis, leading to fungal infection throughout the skin (Berger et al. 2005). Susceptibility to Bd infection varies significantly between amphibian species and individuals and is influenced by many factors that may play a role in disease resistance, including the effect of antimicrobial peptides (AMPs), cutaneous bacterial communities, and various environmental parameters. The goal of this preliminary research project is to illuminate the cumulative, multifaceted impact of these factors on frog survival (Figure 2.). For this project, Columbia spotted frogs (Rana luteiventris) were used as the model organism due to their relative resistance to lethal Bd infection.
  • Item
    Generative A.I. in Fall 2023 - Faculty Resource Guide
    (2023-10-16) Martin, Rachel; Honchell, Amy
    ChatGPT was released on November 30, 2022, and gained over 100 million users within its first two months. Even though this technology has existed for less than a year, it is not hyperbole to say that it is completely transforming many aspects of life, including education. At Carroll College you have the autonomy to choose how students may use AI in your classes. Approaches from Carroll Faculty have ranged from “no” to “sometimes” to “yes.” We anticipate a shift toward greater use of AI in light of the fact that, “it is becoming increasingly clear that there isn’t going to be a way to design take-home assessments that are AI-proof.