5 Ways Artificial Intelligence May Influence Higher Education
Artificial intelligence (AI) has officially entered the higher education realm, both hypothetically and in early practice. According to the report Artificial Intelligence Market in the US Education Sector, AI will grow by 57.5 percent from 2017 to 2021, and several technological and educational powerhouses are committing substantial resources and personnel to develop digital platforms that use AI.
With all this buzz, there’s understandably a good deal of confusion (and fear) around what AI is and what impact it might have on higher education. Defined as the development of computer systems able to perform tasks normally done by humans, AI has the potential to bring significant change to colleges and universities of all types and sizes. According to the Enrollment Management Report, AI may influence higher education in the following ways:
- Domestic and international student recruiting practices will change: college recruiting teams will be able to better focus their efforts by creating algorithms that can predict the applicants most likely to be accepted and enroll, from which states and countries they originate, and the enrolled students most likely to progress, graduate, and become engaged alumni.
- The admissions process will become faster and more personalized: by automating many administrative activities during the admissions process, including visa processes, student housing selection, and course registration, colleges and universities will be able to provide customizable experiences for students.
- Retention efforts will be more proactive than reactive: by identifying early warning signs, red flags, and students who are most likely to struggle academically, student success personnel will be able to create retention plans that anticipate, rather than react to, students’ difficulties.
- Admissions teams will have assistance addressing “summer melt”: by providing personalized and frequent text messaging and communication, AI can identify accepted applicants who paid a deposit in May but may not enroll in September. This identification allows admissions staff to create intervention strategies to increase their autumn enrollment numbers.
- The college’s bottom line and reputational value will improve: by identifying and targeting applicants and students who are the best fit for the school and then personalizing all experiences across the student lifecycle, schools will be able to operate more efficiently, enroll students more likely to graduate, and offer higher quality experiences.
Overall, AI’s main benefit appears to be of a time-saving nature. By utilizing AI to perform time-intensive tasks, administrative staff can re-focus their efforts on improving student experiences at their schools. To see further analysis around AI’s influence in higher education, read the full article from Enrollment Management Report here.
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