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Detection Tools: Limitations and Alternatives

The increase in availability of generative AI has brought forth a number of AI detection tools that claim to distinguish between AI and human-generated text. Turnitin, GPTZero, and Copyleaks are a few examples. Relying on predictable word patterns and sentence structure, these tools provide a percentage indicating how much of the text was allegedly produced […]

Case Studies

Activities to Experiment With ChatGPT (Peabody Conservatory)  Anicia Timberlake, assistant professor of Musicology, created activities for her undergraduate and graduate students to experiment with ChatGPT during her Spring 2023 classes. She provides undergraduate and graduate policies about using AI in the classroom. TextGenEd: Teaching With Text Generation Technologies—an Open-Access Textbook (Krieger School of Arts and […]

Syllabus Statements

Syllabus statement should reflect the unique uses or concerns for a course along with the AI tools that might be available to students or assigned by the instructor. The following section provides examples of statements instructors included in their syllabus to explain appropriate and inappropriate use of AI. Additional examples are provided online by Lance […]


On this page: Instructors should consider FERPA guidelines before submitting student work to generative AI tools like chatbots (e.g., generating draft feedback on student work) or using tools like Zoom’s AI Companion. Proper de-identification under FERPA requires removal of all personally identifiable information, as well as a reasonable determination made by the institution that a […]


On this page: Below are examples of prompting Generative AI tools to generate course objectives, class activities, and test questions. PROMPT: Write two versions of SMART-based learning objectives to reflect lower and higher cognitive levels: linear regression. Lower cognitive level (comprehension): By the end of the lesson, students will be able to do the following: […]

Assessment Strategies

On this page: Although generative AI tools have the potential to revolutionize education, they present several challenges to higher education and assessments. Cheating is one of the most pressing concerns. AI-powered tools can be used to provide students with answers or even complete the assessment for them, which is a growing problem as AI technology […]

Teaching Strategies

Although generative AI tools raise concerns regarding academic integrity, they can offer significant benefits to educators and students, particularly when designing engaging activities. Click the section headers below for more detail:

Generative AI Tool Guidance

This page was developed collectively by the Johns Hopkins centers for teaching and learning to provide guidance on teaching strategies as they relate to or are impacted by generative artificial intelligence (AI). Generative AI tools are powerful technological advancements that have the ability to generate creative content, such as text, images, and even music and […]

Excellence in Online Teaching Symposium

Johns Hopkins is pleased to host the first Excellence in Online Teaching Symposium through the generous funding of the Provost’s DELTA Teaching-with-Technology Grants.  The Excellence in Online Teaching Symposium brings faculty and instructional staff together to share best practices in designing and facilitating online courses and programs. This is an open, online event in which […]