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Faculty perception of using AI to cheat

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Many people across many units working on AI initiatives

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Not enough coordination/communication of the many people/units working on AI Initiatives at PSU

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Staying on the forefront of education and application

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Ai can get students excited about their learning/increase engagement in learning

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What will accreditation bureaus say upon reviewing departments

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Replacing humans with machines for writing, voice recording

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AI platforms may not be accessible themselves

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Using AI to speed up workflows, research, etc

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"Hallucinations" - when AI creates fake sources, information, etc.

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Drain on energy/natural resources to power.

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Disparate access to latest AI tools. I.E. some faculty pay for AI subscriptions out of pocket, others cannot afford to do that.

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Need strong training on confirming information

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Many faculty are not trained in pedagogy... especially those with research backgrounds. Effective AI use will come back to the "why" and crafting learning objectives. Bloom's/learning objective training will need to happen before adopting AI, or deciding if it is even appropriate (in some cases, the AI tools might not be)

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Many faculty are not trained in pedagogy... especially those with research backgrounds. Effective AI use will come back to the "why" and crafting learning objectives. Bloom's/learning objective training will need to happen before adopting AI, or deciding if it is even appropriate (in some cases, the AI tools might not be)

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offering training to users

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Drop in critical thinking/problem solving skills, retention of information among our students if assignments become too heavily reliant on AI. Objectives have to be crafted carefully. 

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Drop in critical thinking/problem solving skills, retention of information among our students if assignments become too heavily reliant on AI. Objectives have to be crafted carefully. 

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Learning how to develop meaningful prompts to achieve the information or outcome you want

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Things change so quickly it's hard to keep up

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Allows the user to stay current with prompting and how it continues to evolve: simple vs complex prompting.

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Faculty are starting to recognize that student skills with AI tools are needed in the workforce. We might be at a tipping point.

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Faculty are starting to recognize that student skills with AI tools are needed in the workforce. We might be at a tipping point.

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Free AI tools are still highly erroneous in terms of providing accurate, reputable sources of information. Some are a little better, but it takes quite a bit of experience to engineer prompts to get to the context you need. Most people don't know how deeply you need to prompt the AI with context. Otherwise, the outputs are likely incomplete or flat out wrong. 

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Free AI tools are still highly erroneous in terms of providing accurate, reputable sources of information. Some are a little better, but it takes quite a bit of experience to engineer prompts to get to the context you need. Most people don't know how deeply you need to prompt the AI with context. Otherwise, the outputs are likely incomplete or flat out wrong. 

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I'm wondering if well designed custom GPTs built around learning objectives (and integrating open source resources like OpenStax) could replace textbooks... $20 per month per semester is much cheaper than 5 textbooks.

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AI can help with tasks like learning plans and rubrics to free up instructors for more interaction with students

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Receiving support from various departments (e.g., IT, instructional designers, individual departments, etc.) to implement AI initiatives.

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Use AI to guide a Metacognitive understanding of how and why IA is changing their approach to learning and growth - thinking about how they are thinking

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concerns with cheating

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The existence of AI tools is an opportunity for reviewing and improving how we assess student learning.

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AI can be an effective study partner, which can enhance student learning.

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Faculty and students vary in their abilities to use AI.

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Is our data protected? Is our data sold to other companies?

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Units need to clearly define outcomes and objectives for using AI

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AI can be fantastic for helping to refine writing, but if it is not framed properly/providing feedback on your writing, it becomes reliance on a tool instead of learning what your weaknesses are and the proper way to address them (fixing vs. facilitating)

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Close communication gaps between speakers of different languages.

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could help students study, reframe course information in an format that helps them learn best

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Provide training for students and faculty explaining how AI works. That is critical to understanding its strengths and limitations

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cost of subscriptions for in-depth use

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Providing training and structure to improve AI skills and abilities to minimize the divide in abilities in using AI.

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Time for more training and practice.

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The Comparison of AI outputs to human outputs provides a better understanding of our course learning objectives. How to develop human skills, knowledge, and attitudes.

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Tutoring for students that need some extra help

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How to provide equitable access to GenAI tools: both at a reasonable cost, and with demos and documentation and training.

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Time and commitment to revamp assessments

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Users misuse AI without validating the information, leading to less productive and poor decision-making.

AI hallucination, AI possible misuse of information.

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Keeping up with the every evolving AI landscape

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There are a constantly growing number of GenAI tools available, and it's hard to keep up

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Teachers may be tempted to accept AI-generated content without proper review, potentially compromising educational quality

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Community that is open to learning about AI

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Community that is open to learning about AI

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We have communication channels that keep different colleges and campuses connected.

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running AI as a local protected data resource vs a cloud based service.

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AI can increase efficiency in every domain, but the methods have not yet been refined. It's also an opportunity to co-learn alongside students and give students agency in their future.

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Having to explain AI Use Permissions everywhere takes effort.

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Having to explain AI Use Permissions everywhere takes effort.

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Having to add AI Use permissions in the instruction of every learning activity slows down the pace of class.

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More AIs coming to the market every day. It will be hard to keep up with the functions of each AI.

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a large amount of courses would need to be redesigned to incorporate AI

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Compared to Word and other tools, ChatGPT doesn't highlight the corrections/revisions it makes, which could support more sustainable training for students.

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having a variety of AI resources with specific specialties. When to use a medical AI, vs a legal AI, vs an educational AI.... and what gets lost when you are in a paid AI silo and don't have the cross discipline access.