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Machine learning and artificial intelligence carry inherent risks to colleges and universities and their students -- but only if the people making the decisions fail to exert control over the tools’ influence, Fred Singer argues.

By Frederick Singer

Learning how to make technically accurate, interesting and honest images and graphics of science should be part of every scientist’s education, argues Felice C. Frankel.

By Felice C. Frankel

Colleges can dramatically improve success rates of low-income, first-generation students by working across units, argue Adrianna Kezar and Elizabeth Holcombe.

By Sarah Bray et al.

There is evidence both ways, and that evidence raises important questions, writes Jim Jump.

By Jim Jump

Scott McLemee reviews Anthony Bonato's Limitless Minds: Interviews With Mathematicians.

By Scott McLemee

Paul S. Merritt provides an insider’s perspective as to how colleges can structure such teaching positions to provide the best experience for both students and faculty members.

By Paul S. Merritt

To answer that question, Elizabeth A. Lehfeldt tells a pedagogical story in two parts.

By

Can providers of massive open online courses achieve their goal of educating the most possible people when their offerings are overwhelmingly in English? No, Roberto Rey Agudo argues.

By Roberto Rey Agudo