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enrollment
How ReUp leverages predictive modeling to improve student outcomes. Written by Zack Avshalamov, Head of Product at ReUp Education Editor’s note: This post was originally published in August 2019 and has been updated for accuracy and comprehensiveness. Predictive modeling for good first appeared in Scotland over 200 years ago. In fact, humans have been using...
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As earning a degree becomes more and more critical to landing a secure job, adult learners are projected to increase their enrollment at colleges and universities. By 2022, EAB predicts that enrollment of students aged 25 to 34 will increase by over 20%. Adult learners over the age of 25 are a significant demographic that...
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As technology becomes more integrated into higher education, institutions with limited online programming are facing increasing pressure to go digital. This pressure has been multiplied by COVID, as remote learning became the norm over the past year, and some students started seeing more value in online course delivery than they had before. Consequently, colleges and...
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Editor’s note: This post was originally published in July 2019 and has been updated for accuracy and comprehensiveness. When used outside of the realm of sports, the term “coaching” can be difficult for people to grasp as a profession when talking about my career. Although the coaching industry has seen a steady increase in visibility...
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Main points 25% of students have delayed their higher education enrollment since the pandemic began COVID has intensified the struggles of: students of color (especially women), those with low incomes, and those with mental health challenges In turn, they face increased barriers to enrolling and completing their degrees Higher education institutions must better understand and...
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In Part 1 of our predictive analytics series we discussed the origins of the discipline, its evolution in higher education, and shared a foundational set of strategies from our experience in the field. In Part 2, we explore the ethical implications of machine learning, how we use the outputs of our models, and our results...
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