180. Robert Franek - Editor in Chief - The Princeton Review

Show Notes

Robert Franek Website

The Princeton Review

In this episode, John Durante interviews Robert Franek, the editor-in-chief at the Princeton Review, about the college admissions process. They discuss various topics, including the biggest worries for college-bound students, the rise of test-optional admissions, the transition to digital SAT and ACT exams, the increasing popularity of AP tests, the key components of a strong college application, the value of a college education, the use of artificial intelligence in college admissions, and advice for students and families navigating the college selection process.

Takeaways

The biggest worries for college-bound students are assuming too much debt to pay for college and not being able to afford their first-choice schools.
Test-optional admissions are becoming more common, but submitting test scores can still be beneficial for scholarships and certain programs.
The transition to digital SAT and ACT exams offers time-saving benefits but also introduces adaptive testing, which requires a different test-taking strategy.
AP tests are gaining popularity as an alternative to SAT and ACT scores, but access to AP courses and exams can vary among schools.
The key components of a strong college application include academic fit, campus culture fit, financial aid fit, and career service fit.
A college education is worth the investment due to the potential for higher lifetime earnings, lower unemployment rates, and better access to healthcare.
Artificial intelligence is being used in college admissions for tasks such as providing feedback on college essays.
To find the right colleges, students should gather information from current college students, visit campuses, and consider factors such as academic fit, campus culture, financial aid, and career services.
Advice for students and families includes embracing the college admissions process, gathering as much information as possible, and making confident decisions based on fit.

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