Exploring AI tools in the classroom

“We ought to be trying to help our students invent and evaluate possibilities,” said Kyle Jensen, director of writing programs in The College’s Department of English and who taught the Methods of Inquiry course. “Students can do that in isolation with the technology, but it becomes exponentially more powerful when they do it as a group, as a class.” 

In addition to offering real-time feedback, Caputo and her classmates employ AI tools as catalysts for generating writing ideas, which they can then explore in depth in group conversations.

“In those types of collaborative, brainstorming-style discussions, you're sometimes limited to certain sources or your ideas on the subject,” Caputo said. “Having AI tools helped us add more research-based content in real time without disrupting the flow of our conversation.”

Students in the class reported improved writing abilities after incorporating AI tools into their process. By using multiple AI-powered tools for tasks such as generating ideas, organizing content and refining sentence structure, they were able to focus more on developing their analytical and communication skills.

Instructors go back and forth on how to best integrate AI tools in education, primarily when used for writing assignments because of its capacity for cheating or plagiarism. But it is clear that AI tools will alter workflow for many students. 

“These technologies are not altogether that threatening if we are genuinely committed to working closely with our students, learning their voice, reading multiple drafts and cultivating a trusting, collaborative relationship,” Jensen said.

Incorporating a network of AI tools in classrooms sets the stage for an intriguing yet intricate new approach to education. As educators and students alike wrestle with the ethical implications of AI tools on academic integrity and overhaul teaching methods, another pivotal issue emerges — digital literacy. 

Equipping students for the digital age

Digital literacy, at its core, refers to the ability to navigate, comprehend and use digital tools and platforms effectively. In today’s increasingly connected world, it encompasses skills such as searching for information, discerning reliable sources and engaging in online communication with clarity and respect. It’s the passport to the digital world, empowering individuals to participate fully in the evolving digital society, whether it's for education, communication or work.

“As we navigate the boundless possibilities of AI tools, it’s our responsibility to empower students with the knowledge to wield these technologies wisely,” said Kyle Bowen, executive director of learning experience at ASU’s Enterprise Technology. “By fostering digital literacy and promoting responsible use of AI tools, we equip our learners to become creators, critical thinkers and compassionate stewards of the future.”

One approach to enhancing digital literacy involves gaining a deeper understanding of the technology’s historical development, Jensen said. 

“Whenever we use technology — be it a stylus or a smartphone — it’s essential to understand its history and how it works,” he said. “In the past semester, we didn’t just incorporate generative AI tools to diversify our learning methods in the course. We also delved into the history and evolution of artificial intelligence research to better understand how and why the technology functions the way it does.”

The effort to improve digital literacy should, in a perfect world, guide educators and students to a point where AI tools and emerging technologies become less mystifying. In this envisioned future, educators, armed with a better understanding of potential benefits and limitations of AI tools, can responsibly implement its applications in the classroom, transforming AI tools into instruments for enhanced teaching and learning.

Yet, there's still plenty of progress to be made before AI tools are fully integrated into higher education.

“We need to be fastidious in watching and observing the evolution of large language modeling,” Jensen said. “In some ways, the genie’s out of the bottle, but in another way, we don’t even know what the genie is yet, in large because we’re at the nascent stage of large language modeling development.”

Kevin Pirehpour

Editorial Specialist, Enterprise Technology