Skip to content
MarketScale
‹ Back to Industries

Education Technology

Can Professors Use ChatGPT for Academic Research?

We have yet to reach the limit of what generative AI can consistently create. In fact, hobbyists and professionals are just getting started with leveraging ChatGPT for a variety of long-form text use cases. In just a few seconds, the tool can spit out five-paragraph essays on the metaphors of Romeo and Juliet. What about…

This story was produced through MarketScale. See how Education Technology teams put it to work with Executive Thought Leadership.

Share

We have yet to reach the limit of what generative AI can consistently create. In fact, hobbyists and professionals are just getting started with leveraging ChatGPT for a variety of long-form text use cases. In just a few seconds, the tool can spit out five-paragraph essays on the metaphors of Romeo and Juliet. What about a scientific essay? What about supporting the presentation of scientific theories? Could professors use ChatGPT for academic research?

Generative AI and ChatGPT automation allow for near-instant searches of massive datasets and the ability to spot inconsistencies that us users might have missed. While this can be a massive boon for scientists and researchers, issues arise with generative AI’s propensity for confidently presenting false information. For example, when asked to write that five-paragraph essay on Romeo and Juliet, if asked to show its sources, ChatGPT will simply make them up.

Despite these issues, René Morkos, the founder and CEO at generative AI company ALICE Technologies and Adjunct Professor of Construction Management at Stanford is confident that Generative AI and ChatGPT automation’s effects will ripple up and down the science vertical and larger academic field. He and other Stanford academics have already been deep in discussion around how to use ChatGPT for academic research. Here’s his take on how ChatGPT could support his own research.

René’s Thoughts:

“ChatGPT is going to change your life, but not the way you think. My name is René Morkos, and I’m an adjunct professor of construction management at Stanford University. I’m also the founder and CEO of ALICE Technologies, a generative AI company for construction that can generate millions of different ways to build a given construction project, reducing construction durations by 17%, and labor costs by 13%.

So, what does ChatGPT and other generative AI mean for the science vertical? We’ve been having that discussion amongst Stanford researchers for some time, and whether or not ChatGPT will fundamentally change how research is done. For example, not only are we asking if it can create papers but can it grade them?

When I’m doing research, I split my time into three categories: creating, arranging, and polishing. Which I work on is usually dictated by how much sleep I’ve gotten. Creating is making the actual pieces that compose the original body of intellectual work. This is a theoretical contribution, the hard part that you need to be fully present and creative for. Arranging is moving those pieces around to create a narrative. And polishing is ironing out the grammar, the formatting, or even writing a short introduction using other sources, stuff that’s relatively easy. ChatGPT is really good at receiving a query and outputting words in the order which it thinks is correct, but it uses large existing data sets to do so, and therefore is limited by what those data sets contain.

It can easily create inaccurate content. It does not have the ability to create new original contributions. It’ll be used for arranging and polishing in the research fields, even creating standard introductions, but it cannot create an original theory yet.”

New to MarketScale?

MarketScale is the platform Education Technology companies use to turn their own experts into content like this. Want the short overview?

Free workspace

You just read one expert. Imagine publishing your whole team.

This article was produced through MarketScale. Create a free workspace and turn your own team's expertise into articles, video, and social posts. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Education Technology Insights

How Raptor's StudentSafe tackles behavioral threat assessment and student well-being

How Raptor's StudentSafe tackles behavioral threat assessment and student well-being

Raptor Technologies has transitioned from visitor management to enhancing student well-being with its StudentSafe platform. This move addresses school district needs for improved behavioral threat assessment. StudentSafe is designed to bolster educational security and student safety.

  • 01Raptor Technologies is expanding into student well-being.
  • 02The StudentSafe platform focuses on behavioral threat assessment.
  • 03StudentSafe responds to demands from school district customers.

Jun 26, 2026

NYC schools require every AI tool to pass a bias and equity review before deployment

NYC schools require every AI tool to pass a bias and equity review before deployment

New York City schools have mandated that every AI tool undergo a bias and equity review before being deployed within their systems. This move comes amid broader concerns and debates about the role of AI in education, particularly concerning its impact on cognitive development. The education sector is actively assessing the potential benefits and risks associated with AI technologies in classrooms.

  • 01NYC schools require AI tools to pass a bias and equity review.
  • 02Concerns about AI in education include impacts on cognitive development.
  • 03Policymakers are reconsidering the place of AI in classrooms.

Jun 17, 2026

NYC schools require every AI tool to pass a bias and equity review before deployment

NYC schools require every AI tool to pass a bias and equity review before deployment

Twenty-nine New York City council members are demanding a two-year halt to AI use in the nation's largest school system, citing student data privacy gaps. Simultaneously, California and other states are tightening AI bias-audit requirements for employers, while educators debate a deeper question: whether AI adopted without guardrails erodes the original human thinking it is meant to support.

  • 01Twenty-nine NYC council members sent a letter on June 9, 2026, calling for a two-year AI moratorium in city schools, citing inadequate student data privacy protections in the Department of Education's drafted guidance.
  • 02California's Civil Rights Council AI regulations, effective Oct. 1, 2025, require employers using automated decision systems to retain related data for four years and face heightened litigation risk if they skip bias audits.
  • 03Educators and practitioners are wrestling with a fundamental design question: whether AI functions as a 'calculator'—executing tasks users already understand—or a 'crane' that extends human capacity into genuinely new territory.

Jun 17, 2026

Explore More Education Technology Insights

Read more expert perspectives from across Education Technology.

Browse Education Technology Hub