Artificial Intelligence in Higher Education

Current Uses and Future Applications

Published Nov 26, 2018

As artificial intelligence (AI) technology evolves and joins various industries, it could allow colleges and universities to pursue an adaptive, rigorous and individualized experience for students. Potentially, AI could result in a less expensive and more responsive approach to higher education by improving student outcomes and helping institutions scale quality education for students. However, some challenges concerning the implementation of various AI applications in higher education will need to be addressed.

Members of the technology, curriculum and research teams at The Learning House, a Wiley brand, collaborated to evaluate how AI impacts higher education and what opportunities the technology could offer in the future.

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Preview Our Findings and Predictions

In Artificial Intelligence in Higher Education, find out how AI is currently influencing academics in four key areas:

  • Student acquisition: With personalized assistance around the clock and targeted recruitment, AI can help institutions achieve higher enrollment and retention rates.
  • Learning and instruction: Learning and instruction: Faculty members could have more time to engage with students on a deep level while AI helps with grading and supplying basic resources for students.
  • Student affairs: With AI, students could receive resources such as tutoring or advising based on their previous and predicted academic performance.
  • Institutional efficiency: AI could use information from multiple campus systems to guide administrative decisions and tailor curricula toward employers’ hiring needs.

Register for Artificial Intelligence in Higher Education to gain additional insights about AI and where the technology may take us.

Meet the Authors

Justin Klutka is senior vice president of technology at The Learning House, Inc. He leads teams responsible for supporting technology-enabled marketing, enrollment and retention services. Throughout his career, Klutka has led digital transformation and analytics programs. He has a background in enterprise architecture and is currently researching artificial intelligence, machine learning and internet of things technology.

Nathan Ackerly is the curriculum program strategist at The Learning House, Inc. He advises partner institutions on many aspects of their academic initiatives, from new approaches to online programs and academic governance to regulatory and accreditation concerns and innovation in teaching. Prior to this role, Ackerly was an instructional designer for both Learning House and Bisk Education.

Andrew J. Magda is the manager of market research at The Learning House, Inc. Magda leads in the development of custom and large-scale market research studies and assists partner institutions with their research needs. Prior to Learning House, he was a senior analyst at Eduventures and a project manager at the Center for Survey Research and Analysis at the University of Connecticut.

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