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AI Tools for Education

This guide highlights AI tools for teaching, presentations, accessibility, and learning.

Introduction to AI Tools for Education Guide

This guide was created by Mazid UI Hasan, eLearning Graduate Assistant in the CECH School of Education, University of Cincinnati. Additional content provided by Dr. Janet Zydney, CECH School of Education, and Katie Foran-Mulcahy, UC Libraries.

The following guide contains AI tools for educational use, including tools for teaching, presentations, accessibility, and general assistance for learners. See the left navigation menu for quick access to each AI tool category.

Artificial Intelligence (AI) has caused significant discussions in different fields, including education, since late 2022. Many educators have been grappling with the disruptive potential of generative AI, like ChatGPT, particularly regarding academic integrity. On the other hand, many others pointed out that technological advancements often disrupted existing practices historically, but when efficiently adopted, these technologies improved the current practices. Similarly, if we look beyond the disruptive nature of AI in education, AI can offer significant positive impacts on teaching and learning.  

AI claims to revolutionize personalized learning by analyzing individual student needs, tailoring content and feedback, and creating customized learning pathways. AI tutors can offer conversational guidance and support, while tools like Diffit can adjust learning materials to individual reading levels. AI-powered text-to-speech, speech-to-text, and image description tools further enhance accessibility for diverse learners. AI tools can empower educators by providing lesson plans and quizzes, recommending resources, and assisting with grading and insights.  

This guide highlights numerous benefits of using AI in education, describing several AI tools and their functionalities to improve educational practices. However, despite their great potential, there are concerns regarding the inaccuracies and biases in these tools’ responses. Sometimes, the tools may provide incorrect information and references and reproduce existing biases from the materials on which they were trained. Therefore, it is strongly recommended that with all AI, teachers check the output for accuracy and biases. Given this need to verify the accuracy of the output from Generative AI, teachers need to be careful about having students directly use AI tools without teacher intervention. Using AI tools for grading and feedback can introduce biases and unfairly grade students from certain demographics. There also can be issues regarding data privacy and security of the information provided to these tools.

AI tools highlighted in this guide are provided for informational purposes only. Highlighted tools have not necessarily been approved or endorsed by the University of Cincinnati or Digital Technology Solutions (DTS).

For information on AI tools and academic integrity concerns, consult the UC Student Code of Conduct, which  lists "unauthorized use of artificial intelligence" as a form of academic misconduct under "Cheating" (p.9-10). Further information on generative AI and academic integrity can be found on the Preventing Student Plagiarism LibGuide from UC Libraries, linked below.

Updated May 2024.

Guide Contents

Click the links below or use the left navigation menu for links to AI tools and full resource descriptions.

How to Cite AI

Other Relevant LibGuides

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