🎉 Exciting news for all my higher education colleagues! 🎓🤖

by Michael

📢 Check out this article by Karen Webber, President of the Association for Institutional Research (AIR) and Professor Emeritus in the McBee Institute of Higher Education at The University of Georgia, and Henry Zheng, Vice Provost of Institutional Effectiveness and Planning at Carnegie Mellon University, about the implications of AI in higher education for Institutional Research and Institutional Effectiveness professionals. 📚💻

👀 The authors discuss the emergence of Big Data and its role in the adoption of AI and machine learning, with a focus on the recent release of OpenAI’s ChatGPT chatbot. They also highlight other AI-supported systems used in higher education and suggest that AI can assist in student success, accessibility, and transparency. 🌟💡

A special shoutout to Karen and Henry for mentioning me in their work! 🙌 Excited to be part of this rapidly evolving landscape! 😊

Don’t miss out on this must-read article! Let’s embrace the future of AI in higher education together! 🎉👩‍🎓👨‍🎓

#AI #HigherEducation #AIR #InstitutionalResearch #ChatGPT #Innovation #EdTech #IR #IE #IRWaterCooler

Find the article here.

« ChatGPT Prompt Repository

🧠🤖 Quick AI productivity tip! Have you used ChatGPT and Mermaid together? »

Dr. Mike Urmeneta is an award-winning researcher, educator, data scientist, and storyteller with a passion for helping institutions improve and succeed through agile and collaborative approaches to research and analysis. He has extensive experience working with universities and has been recognized for his work by leading organizations such as the Association for Institutional Research, the National Association of College and University Business Officers, and EDUCAUSE. His diverse background and ability to build strong relationships with a variety of stakeholders have allowed him to make a significant impact on institutional policies, procedures, and priorities. Most recently, as an instructor for AIR’s Data Literacy Institute, he has been preparing leadership teams to embrace a culture of data-informed decision-making. Prior to this role, he served as the director of analytics and business intelligence for the New York Institute of Technology, providing strategic guidance to various departments, the president’s office, and the board of trustees. Dr. Urmeneta has also held various administrative roles at New York University, including in admissions, financial aid, enrollment and retention, alumni relations, and development. He holds a Bachelor of Science in Mechanical Engineering and a Master of Science in Management from NYU, and a Doctor of Education degree from Northeastern University, where he received the Dean’s Medal for Outstanding Doctoral Work for his research on first-generation college students.