Why Learn Something That a Machine Can Do for You?
Technology may shape how and what we learn, but the act of learning itself is deeply human.
Why Learn Something That a Machine Can Do for You?
In this episode of How to Touch Grass, co-hosts Natalie Brennan and Julie Beck discuss the purpose of learning with Michelle Miller, a cognitive psychologist at Northern Arizona University. Despite the rise of technology and AI, Miller argues that learning remains a deeply human endeavor that shapes both individuals and society.
Beck points out that in recent years, there has been a trend of outsourcing various tasks to machines, from coding to knitting. However, Miller contends that the act of learning itself holds intrinsic value, regardless of the specific subject matter or the availability of technological assistance.
Miller highlights that learning enables individuals to build themselves as unique individuals and contributes to the evolution of humanity as a whole. It provides a sense of agency and control over one's own growth and development. Whether it's mastering a new skill, teaching another person, or simply satisfying intellectual curiosity, learning allows people to test their creativity, limits, and social connections.
The co-hosts recognize that while technology may automate certain tasks, it also offers new opportunities for learning through instructional videos, online communities, and other digital resources. This has particularly influenced hobbies and personal interests in recent years.
Ultimately, Miller suggests that the ultimate purpose of learning is to harness the autonomy and agency that humans possess in shaping their minds and contributing to the advancement of society. She emphasizes that learning is not just about acquiring knowledge or skills, but also about fostering personal growth, social connections, and the ongoing evolution of humanity.
Written by urgent.news from The Atlantic's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
