Higher education institutions looking to implement AI initiatives need to start by organizing and cleaning their data. Modern data platforms can help universities get their data in order, ensuring that AI tools are based on accurate information. Strategic communication and collaboration are also key to collecting and governing data effectively.
Once clean data is in place, universities can use AI to better understand what students need to succeed. Data analytics tools can monitor student progress and help retain students, ultimately avoiding the enrollment cliff. Additionally, universities should focus on providing what students want, matching the technology and tools they are used to from their K-12 education.
Universities should also consider preparing students for the workforce by incorporating tools and technologies they will need post-graduation. This could include industrial tools, design software, and training in AI. Special computing and virtual reality technologies can also impress students and potentially attract more enrollment.
By focusing on organizing data, meeting student needs, and preparing students for the workforce, universities can leverage AI and technology to improve outcomes, retain students, and potentially avoid enrollment declines. This strategic approach to technology integration can have a long-lasting impact on the success of higher education institutions.
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