# data[].attributes.body
Allows us to create new assignments and content quickly.

Prepares students for the evolving workforce

Knowing we are building the plane in the air with AI, it allows us to model making mistakes and being vulnerable to students.

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~Allows instructors to streamline and organize content

~Assists with building creative assignments

~Assists with teaching content that is "rudimentary" or "boring" for students to learn due to engaging ideas

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~Students may feel they have mastered the material, though they have mastered the use of a tool / resource

~No more new data currently

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Many students have many other challenges in life and AI is seen as a time saver for students who are working full-time, single parents, dealing with medical issues...

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~Team Teaching material from departments you would not traditionally work with.

~Reworking how we traditionally think about education / "testing" students

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~Privacy

~Security

~Academic Integrity

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Frees up faculty and staff time for more strategic and student-focused work.

Improve student engagement and accelerate learning.

real-time student responses

generate questions

adjust instruction

lesson plans

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New ways of thinking about learning and what role academia has to play in that now that remembering and regurgitated on an exam is not relevant in the traditional sense.

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Over-reliance on AI

lose critical thinking skills

implementation issues

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Enhances productivity for faculty and students

Speeds up content creation and administrative tasks

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One of the key weaknesses of generative AI in higher education is that its outputs can sometimes be inaccurate or misleading, which may confuse students or spread misinformation. Additionally, there is a potential for bias in responses, as AI models often reflect the data they were trained on, which may not always be balanced or inclusive. Another concern is the lack of transparency in how AI systems generate their results, making it difficult for users to fully understand or trust the reasoning behind the responses.

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Due to the speed of technological advance and some resistance from within, we are behind in understanding the tech. Our faculty (and others) need training.

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Teaching strategies tailored to work for students who have specific needs or ways that they wish to learn can be done with AI (with humans, there is not enough time to modify every lecture/experiment to suit every student)

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-Institutional Culture of Innovation and openness to new tools.

-Faculty creativity in designing AI enhanced learning experiences

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Creativity and Innovation in higher ed learning

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privacy

potential lack of access in poorer or rural areas

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Gen AI improves efficiency by automating tasks like grading, content creation, and administrative paperwork, freeing up time for deeper teaching and strategic planning.

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Generative AI opens up exciting opportunities in higher education, including integrating it into curriculum design and instruction to enhance engagement and creativity. It can also be a valuable tool for academic support and tutoring, offering students personalized help outside of class time. Most importantly, using AI in these ways gives us a chance to promote digital literacy and encourage critical thinking about technology—skills our students will need now and in the future.

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We are modeling in our profession the use of tools that our student will need to use in theirs

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We are modeling in our profession the use of tools that our student will need to use in theirs

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It expands the topics/options we can expose our students to.

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By speeding up the course design process, it can give us more time to connect with students and focus on meaningful feedback/interaction.

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AI can generate inaccurate or biased content, which risks spreading misinformation or eroding trust if not carefully reviewed.

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AI can help students with learning through more tailored individualized instruction. It helps students to be better prepared for the workforce.

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Lack of Faculty Training

Inconsistent Policies

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There has to be money out there to support training in, and implementation of, AI in education (both Higher Ed and k-12)

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It opens the door to personalized learning experiences and innovative teaching models, helping institutions stay relevant and student-centered in a changing educational landscape.

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Without clear policies, AI can be misused for academic dishonesty or lead to dependency, undermining assessment integrity and critical thinking skills.

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Makes the whole process more efficient.

Gives novel ideas on pedagogy and helps align course objectives with those ideas.

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Risk of diluting fundamental corpus of principles etc.

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Risk of diluting fundamental corpus of principles etc.

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Distraction or loss of time with tech glitches

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It is very easy to get caught up in trying to know everything about every AI tool, which will take back any time we could’ve saved using AI.

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A strategic opportunity for Education

Another avenue for educators and students to bring on new ways to think

Predictive analytics can identify at-risk students early.

AI can help generate quizzes, summaries, flashcards, and even adaptive textbooks.

AI-generated careers

Start teaching these skills in elementary school, so they have the necessary skills in higher ed.

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In addition to making web resources more focused and available to our needs, it models for students that we take on change and the world as it is rather than looking for a lost, prior state.

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AI may be able to replace humans in certain careers (similar to automated/robotic plants that make cars or other products)

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Should make students more efficient and marketable.

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-Increased efficiency and accessibility

-equipping student with relevant skills for the workforce

Innovative research approaches

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New material production quickly

Student learning help

create animations

Personalize approach for students

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While generative AI has great potential, it also brings some important risks. There's a concern about academic dishonesty or misuse, such as students relying on AI to complete assignments without truly learning the material. Over-reliance on AI can also limit deeper thinking and skill development. Additionally, data privacy and security remain ongoing concerns, especially when students use third-party tools that may collect personal information.

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Increased efficiency

It can generate different perspectives and identify gaps in knowledge or logic

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Some students will use this rather than challenge themselves to grow, develop, etc. So they might settle for the appearance of launching.

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Use of new tools and techs can reinvigorate class-weary faculty 

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Use of new tools and techs can reinvigorate class-weary faculty 

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Faculty join the students' tech world is a new chance to create connections

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Advancements in AI accessibility Features

Industry Demand for AI Skills

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Advancements in AI Globally people and planet

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plagiarism

bias

discrimination

misinformation

inequity

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AI creates a new way of thinking about thinking. 

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AI creates a new way of thinking about thinking. 

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AI can present a challenge for students, faculty members, and administrators in terms of a steep learning curve.

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Creative assignments

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Over reliance and or blind faith in it can have serious ( sometimes fatal ) consequences

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We can teach students how to use AI to promote higher order thinking instead of having them memorize a bunch of facts.

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There is so much to learn at a very fast pace.

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There is so much to learn at a very fast pace.

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In some instances faculty are de-incentivized by T & P structures, lack of recognition for innovative pedagogy as having specific workload issues

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Provides 24/7 customized tutoring for students.

Assists with course preparation through syllabi changes/development, scheduling, assignment creation, test bank creation.

Accessibility assistance

Improves research

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Can lead students to avoid difficult tasks where learning occurs.

May stifle creativity due to reliance on AI

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Privacy

Integrity

Security

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Dirty information in, dirty information out.

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Dirty information in, dirty information out.

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Can contain biased information

Performance and the quality of information depends on the user's prompt, which can be ill defined or contain false assumptions

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AI tools can assist educators in creating highly personalized learning experiences by adapting materials to student skill levels, learning styles, and areas of interest. This responsiveness can help promote student engagement and academic growth.

Integrating AI into instruction also helps increase faculty relatability with students. Today’s students are growing up in an AI-integrated world; when educators use the same tools students are curious about or already experimenting with, it fosters mutual understanding and opens up opportunities to have meaningful conversations about ethical use, critical thinking, and digital literacy.

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Gives a false sense of mastery of content

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The alignment problem is, possibly, a good problem: what will it look like when the increasing capacity of AI is baked into our work processes (assuming--and it's a large and fallible assumption)? How much better can we be? Will we make fewer mistakes than before? Will we get farther, faster--however defined?

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New career paths

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If we don’t properly teach students how to effectively use AI, we are creating students who will not be prepared to be in the workforce/we will be reinforcing digital illiteracy.

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Another possibility to create a culture of haves and have nots. If resources are needed to train and implement, who leads and who falls behind?

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Overdependence on AI at the Expense of Critical Thinking
One of the most immediate concerns is the risk that students—and even faculty—may begin to rely too heavily on AI for content creation, analysis, or decision-making. When used without clear pedagogical guardrails, AI can inadvertently discourage original thought, problem-solving, and the development of foundational academic skills. This undermines the very goals of higher education by shifting the focus from intellectual engagement to convenience.

Lack of Contextual Awareness and Nuance
While generative AI is fast and often impressive in its output, it lacks true contextual understanding. This can lead to the generation of plausible but incorrect or misleading content, especially in fields that require deep domain expertise, cultural sensitivity, or interpretive nuance. Faculty and staff may find themselves needing to double-check AI outputs—adding a layer of complexity and risk when accuracy is paramount.

Equity and Access Gaps
Not all students or faculty have equal access to AI tools, nor the digital literacy to use them effectively. This creates the potential for deepening existing educational inequities. Institutions that move forward with AI integration without accompanying training and equitable access measures may unintentionally marginalize certain student populations, reinforcing the digital divide rather than narrowing it.

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Senior faculty fear the loss of their sense oF authority as they become colearners.

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Senior faculty fear the loss of their sense oF authority as they become colearners.

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MLK suggested education is the infusing of wisdom, suggesting that an associated threat is the transition from wisdom to technique. BOTH are important and BOTH are incomplete without the other.

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Competition from Peer Institutions

Rapidly evolving legal environment

Public Concerns on Data Privacy

Potential Backlash from Faculty

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misuse, especially with old teaching and testing methods

Faculty resistance

bias, copyright, and legal

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Foreign adversaries master the tools before us and innovate to create advantages

Some people are left behind and difficult to employ.

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-Accuracy and quality

-lack of teacher training

-potential technical limitations

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Curriculum Innovation and Future-Ready Skill Development
Generative AI opens the door for reimagining curriculum in ways that align more closely with the future of work. By integrating AI into coursework across disciplines—not just in computer science—universities can prepare students for a world where AI fluency is a core competency. This includes teaching students how to critically evaluate AI-generated content, ethically use AI tools in their fields, and understand their limitations. It’s an opportunity to reshape education from content memorization toward creativity, discernment, and applied digital literacy.

Enhanced Student Support and Engagement
AI-powered systems can provide scalable, real-time academic support to students, such as personalized tutoring, writing assistance, or 24/7 chat-based advising. These tools not only help students succeed academically but also improve their sense of connection to the institution. By using AI to meet students where they are—on their devices and within their digital habits—institutions can foster greater engagement, retention, and satisfaction, particularly among non-traditional or remote learners.

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Leveraging Research capacity

Creates space to imagine beyond the subject matter

Promotes interdisciplinary collaboration

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Without regulation, the alignment problem is, in fact, a problem.

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Academic Integrity and Policy Challenges
The widespread availability of generative AI raises serious concerns about plagiarism, authorship, and the authenticity of student work. Traditional academic integrity policies are often ill-equipped to address the nuances of AI-generated content, creating legal and ethical gray areas. Without clear guidelines and enforcement mechanisms, institutions risk erosion of academic standards and credibility, particularly if students use AI to complete assignments without meaningful engagement or disclosure.

Data Privacy and Ethical Liability
Many generative AI tools collect and process user input, often storing it on external servers beyond the control of the institution. This presents significant risks related to student privacy, FERPA compliance, and institutional data governance. Inappropriate or unregulated use of AI platforms could lead to unauthorized data exposure, legal liability, or reputational harm—especially if faculty or staff unknowingly input sensitive or identifiable information into third-party systems.

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Redesign and improvement opportunities

Customized GPTs for each course, discipline, or university

Support for enrollment and other administrative tasks

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Sometimes Seduces students to shortcut thinking in important areas

Gives a false sense of mastery when their competency could be quite less

Could undermine the acquisition of important basic skills or knowledge

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The possibility that AI one day will replace humans in the domain of work. Then humans will need to find other ways to find meaning in life.

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Great opportunity to expand our ways of teaching and learning. Multi-modal learning is powerful.

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Innovation of Ai in teaching and learning

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Can open possibilities to work with corporations outside of one’s discipline, department, or institution

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Privacy and security concerns. Whether bad actors or rogue generative AI that takes on life and motive of its own. Generative AI is the emergence of a new species. Naive to think it won’t pursue autonomy at some point.

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AI presents a new and exciting learning opportunity. By embracing it, we can harness its power to better equip the next generation of life-long learners to live more fulfilling lives.

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Platforms/Apps are being added so quickly, it is hard to keep up and know what to use, or what is worth paying for and what is not.

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Tinkering with AI takes time - does it increase learning??

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tinkering with AI technology in teaching