Importance of Capitalizing on AI in Education

By Education Technology Insights | Monday, February 22, 2021

AI provides benefits across academic institution operations and helps digitally-driven universities address issues that can't be solved easily with conventional approaches.

FREMONT, CA: Administrators have grappled for years with how to attract and retain students. Academic leaders often find that they want to increase their initiatives in this area. One clear way to grow is through online programs, but that too brings hurdles. While shifts to online teaching allow institutions to have a national and even international presence like previously, the selection process itself may become complex. And even the most self-driven students accustomed to classroom learning sometimes find that the way to online learning has a steep curve. Educators need improved methods for selecting candidates and understanding and removing hurdles to their success.  For universities, Artificial Intelligence (AI) is emerging as a potential tool that helps attract and retain students, understand faculty and student demands, optimize processes, improve the campus experience, and more.

Universities leverage AI to identify students who are most likely to succeed in a higher education environment. In their initiatives to attract and enroll new students, universities are harnessing AI and data analytics to decide which students might require additional guidance and help navigate the available resources and apply for enrollment and financial help. Some offer AI-driven chatbot services to answer queries and help students find their way through complex enrollment and transition operations, then using the data from these chatbots to enhance the student experience even more. Top Artificial Intelligence Solution Companies

AI-driven use cases and data analytics techniques are assisting universities in understanding how to help students succeed. They do this in part by finding students who are having issues academically and might be at risk of dropping out. Over time, the algorithms leveraged in these machine learning use cases get steadily better at zeroing in on students who require assistance. Another tactic for retaining students tracks the courses a student drops and the number of times a student changes. These metrics can assist counselors to decide if a student needs one-on-one academic advice and new needs. Similarly, algorithms might track a student seeking help from online teaching tools that supplement classroom work.

Retaining students assists elevate academic reputation, as does performing ground-breaking research in areas like life sciences, chemistry materials, molecular dynamics, and natural language processing. As an outcome, institutions can rise higher in rankings essential to student and faculty recruitment and grants, and other funding.

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