The application of AI in higher education can extend to departments ranging from automate IT tasks to help with administrative work. But it also has potential applications in teaching and learning. While many experts focus their AI knowledge and research on academic integrity, many EDUCAUSE sessions have instead focused on the potential impact on student learning outcomes.
“Academic applications could include assessment reform,” says Grajek. “These could include developing course materials for introductory courses and tutoring. »
AI Supports Today’s Higher Education Landscape
In a session titled “The End of Business as Usual: Embracing Generative AI in Higher Education,” Rich Pushard, product portfolio manager for higher education at CDWgave a comprehensive overview of the potential of generative AI in higher education.
Higher education institutions are adapting their course offerings to support the fourth industrial revolution, which focuses on AI, automation and machine learning technologies. It is vital for colleges and universities to produce graduates with marketable skills in these fields.
“If you think about today’s professionals and the evolution of technology, how do you support the learners who have come through your institution? Pushard said. “How do we reframe this investment proposition in a way that ensures they have the skills they need? »
The traditional college experience of a decade ago has changed, Pushard said. The students are embrace flexibility what today’s institutions offer, and those institutions must adapt accordingly, in many cases supporting “just-in-time learning,” he said.
AI can support competency-based education models in which students can learn at their own pace, Pushard said. This individualized progression through courses helps personalize the learning experience and allows students to complete their studies on their schedule.
“How can we ensure that we are engaging students at a level that not only creates success, but changes the nature of learning,” Pushard said. “If you think about how our courses are constructed now, many people get new information from a single source. AI has the ability to potentially consolidate multiple sources into one so you can individualize that learning experience through technology. Many schools, such as Western Governors Universityhave adopted this model, he said.
AI helps enable adaptive learning
Analyzing data from AI-based courses can help instructors identify trends in student success and engagement. For example, Pushard said, if suddenly a group of third-year accounting students perform poorly in an advanced class, data from their first year could reveal why.
When developing curricula, this type of data analysis can help instructors modify their courses each semester rather than simply revising course content from term to term.
“You can understand what student progress looks like, what you can supplement accordingly, and take adaptive learning to a whole new level where new resources are digitally infused into that student’s experience based on the circumstances,” Pushard said.