Versions Compared

Old Version 23

changes.mady.by.user Adam Minnie

Saved on

compared with

New Version 24

changes.mady.by.user Adam Minnie

Saved on

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

This page provides resources about AI and its impact on higher ed with a focus on highlighting others' indexing efforts.

Table of Contents

Introduction

Ui expand
expandedtrue
titleClick to expand/collapse

The development and capability of advanced automated tools (such as ChatGPT and similar) is novel, swiftly changing, and highly dynamic. Therefore expect rapid changes and updates to this space as information and research becomes available and experience grows. Also expect a growing need for all faculty members to watch current news and research pertaining to their particular disciplines. We welcome input, suggestions, and questions: Contact Dr. Joel Johnson (Academic Technology) or Dr. Cheryl Norman (Center for Teaching and Learning).

These tools are usually free to use, easy to find, and designed for ease of use by non-technical users. Therefore, the

...

prevalence and methods of use by students, faculty members, and staff

...

is likely to expand rapidly.

...

This page points toward resources about AI and its impact on higher ed with a focus on highlighting others' indexing efforts.

...

Definitions

Ui expand
expandedtrue
titleClick to expand/collapse
  • Advanced Automated Tools (AATs) is a general term encompassing artificial intelligence and machine learning tools and technologies such as ChatGPT or Dall-E 2 — sometimes described as “generative” or “autogenerative” tools — which use sophisticated training on very large data sets in order to produce writing, images, or other products that appear human-made, in response to natural language queries and prompts.
  • Large Language Models (LMMs) are generative technologies that train on abundant human-written text to produce models predicting reasonable arrangements of words. LMM apps such as ChatGPT often "remember" and incorporate the content of a given conversation session into shaping its output later in that session.
  • Generative: These tools are sometimes called Generative because they produce novel content on demand based on training data sets and predictive models. Output is not curated from elsewhere, but transformed and generated in response to prompts.

...