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AI in Academia: How AI Is Impacting Colleges and Universities

Academic augmentation, disruption, or both? Learn about AI in academia and how it’s impacting colleges and universities.

Academic augmentation, disruption, or both? 

The impact of AI on colleges and universities brings numerous opportunities and challenges, from personalized learning experiences to increased concerns around AI use and plagiarism. 

One thing almost everyone agrees on is that it has effectively transformed academic and higher education as a whole. 

Higher education has evolved significantly, embracing numerous technological advancements, from calculators and Scantron forms to personal computers and virtual classrooms with online college education

With every new technology that impacts society and education, colleges and universities must adapt to understand the new technology’s applications and ensure campuses have the necessary equipment and instruction to incorporate it to its full potential, while protecting students and the college learning experience against its risks. 

AI in academia is no different; however, the emergence of generative AI and AI-powered tools has been so widespread and rapid that many institutions of higher learning are still struggling to keep pace with their students.

A 2024 study found that 46.9% of students are already using AI or LLMs in their college studies and coursework.

Yet, just under about 20% of college presidents have published plans regarding AI policy.

The second thing most educators, administrators, and students can agree on is that AI is here to stay — and it’s time to live with it, learn with it, and teach with it. 

In this article, we’ll cover the ways AI is impacting colleges and universities, and how some universities are addressing both the benefits and drawbacks.

Benefits of AI in Academia

As in any industry, artificial intelligence has the potential to maximize time and boost productivity and personalization in academia. 

When transparent and comprehensive AI policies are in place and well communicated, AI tools can bring several advantages to both faculty and students: 

  • Analysis of student data to personalize learning: Tailoring learning pathways to an individual’s needs and strengths is a complex and time-consuming process that AI can assist with.
  • Grading and feedback assistance: AI can provide assistance with grading and responding to student work.
  • Curriculum development: AI can analyze large datasets to help faculty and administrators identify curriculum gaps and develop new content to achieve learning outcomes.
  • Expanded accessibility: AI tools are available 24/7, offering uninterrupted support, and can improve accessibility for students.
  • Plagiarism and AI detection: AI detection tools help foster transparency in the classroom regarding AI writing and plagiarism, especially when plagiarism and AI detection plugins integrate with LMS systems like Moodle.
  • Content creation: AI tools can assist faculty in generating assessment questions, creating personalized assignments, and monitoring online forums.
  • Administrative tasks: From drafting correspondence to generating syllabus outlines, and from creating study guides to tracking learning gaps across multiple classes, AI can assist in ways that enable instructors to maximize classroom time.
  • Study and learning support: Students can use AI to research, work through practice problems, and receive support and feedback on their homework by using tools like ChatGPT Study Mode
  • Writing assistance: Students can brainstorm ideas, outline papers, get draft feedback, check grammar and scan their work for plagiarism.

Challenges of AI in Academia

When used ethically and transparently as a tool, AI brings a multifaceted positive impact on education in colleges and universities. 

But as with any powerful tool, artificial intelligence brings its potential drawbacks, especially when misused:

  • Concerns about academic integrity: When used to generate work rather than advance the learning process, the values of honesty, trust, fairness, responsibility and other facets of academic integrity are difficult to uphold.
  • Over-reliance: Students may stop attempting to work through complex problems and become dependent upon AI.
  • Decline in critical thinking: In addition to integrity, the misuse of AI can hinder a student’s academic growth.
  • Unequal access to AI tools: Not all students may have access to premium AI tools.
  • Privacy and data concerns: AI tools may collect information for training data without students or universities having transparency or understanding regarding how this data is used. At Originality.ai, we believe it is absolutely critical to protect customer content, learn more about how Originality.ai treats your content.
  • Copyright infringement: There are several OpenAI and ChatGPT lawsuits around copyright infringement. 
  • Uncertainty over policy: Until an institution has a clear policy in place and circulated, faculty, staff, and students face uncertainty over how and when AI use is acceptable.

For colleges and universities, these challenges are different from those brought by previous technological advancements because it’s less a matter of “Do our students have the tools they need?” and more a matter of “Students and faculty are using these tools already—how do we provide guardrails and guidance?” 

AI in Academia, Colleges, and Universities: Final Thoughts

Students and faculty at colleges and universities worldwide are already actively using AI. The conversation in academia isn’t about how to stop the advancement, but instead how to guide the transformation, even if it means first catching up.

Every time major advancements change society, education must follow suit. 

The impact of AI in academia is already here and advancing more each day. 

The goal of colleges and universities is to find balance in how AI can potentially enhance learning, strengthen critical thinking, and promote skill development, while upholding academic integrity. 

As institutions work on incorporating the positive applications of AI and designing comprehensive policies for responsible AI use, having the right tools can support transparency and accountability. 

Tools like the Originality.ai Moodle Plugin and Originality.ai Academic model for educators can help quickly and accurately detect AI-generated content, fostering honest conversations about its appropriate use as policies continue to evolve. 

Learn more about the AI in education:

Melissa Fanella

Melissa Fanella is a writer, editor, and marketing professional with over 15 years of experience in content and messaging for businesses and nonprofits. Her expertise is in crafting authentic, people-first content that is compelling and engaging for audiences and positioned for business goals.

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