LOUISVILLE, Ky., Dec. 6, 2018 /PRNewswire-PRWeb/ — Learning House, a Wiley brand and leading online program manager, today released Artificial Intelligence in Higher Education, a research brief summarizing AI developments in higher education. The paper explains how universities may use AI at their institution in the future and includes recommendations on how to prepare for potential changes that may transform standard processes.
The brief assesses current, future and in-development opportunities for AI in four areas: 1) student acquisition, 2) learning and instruction, 3) student affairs and 4) institutional efficiency. Across all four sectors, the authors expect that AI will have a positive influence on higher education by improving outcomes and helping institutions scale quality education for their students.
Additionally, the report highlights how AI will affect what students need to learn and any additional certificates or degrees universities should offer to meet this need and suggests necessary policy changes to fully realize those benefits. The brief features four case studies of higher education institutions piloting or implementing AI technology as well as highlighting more than a dozen specific AI-related tools or systems that are either in development, testing or already in use in universities around the globe.
Justin Klutka, senior vice president of technology at Learning House and co-author of the research brief notes that, “AI solutions exist in the market that free up brainpower and time, allowing us to pursue a rigorous, adaptive and personalized experience for students. Institutional leaders that take the time to leverage AI well will enjoy the benefits it brings to students, instructors, and administrators alike.”
In order for university leaders and administrators to make those decisions, the report encourages institutions to consider:
- When to implement AI (short- or long-term)
- In what areas of the institution AI would be most helpful
- How to protect students’ privacy while using data to help them, and
- What the university’s definition of success is regarding AI implementation
In addition, the report highlights important policy guidance and recommendations that are likely to accelerate AI innovation or, if unrealized, stifle its growth and adoption. For example, the Family Educational Rights and Privacy Act (FERPA) last updated in 2001, predates many common education technologies including smartphones, tablets, wireless data, MOOCs and even online education programs in general. The brief also cites necessary changes to policies on data security and accreditation.
“While education has been mostly a slow adapter to technology such as AI, the student and learning and efficiency benefits are enormous,” said Todd Zipper, president and CEO of Learning House. “The biggest questions are which schools move first to embrace the power of AI, how those decisions will aid their students and enhance their stability and success and whether we can create or adjust policies that allow us to reap the full rewards of AI technology in education.”
To view and download the research brief, please visit: learninghouse.com/ai_in_higher_ed
To register to join the authors of the report for a free, live webinar on Thursday, December 6 at 1 p.m. EST please visit: learninghouse.com/ai_webinar
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SOURCE The Learning House