TLDR 175

Finding the Sweet Spot

Published: 2018-11-23 • 📧 Newsletter

Welcome to Issue 175. Finding the sweet spot.

This week I was involved in the following:


🔖 Key Takeaways


📺 Watch

Two of my favorite people, Neil deGrasse Tyson and Anthony Bourdain on StarTalk. They talk about science as applied to the kitchen and different processes used in cooking around the world to achieve the most desirable flavors. This conversation demonstrates how scientific thinking applies beyond labs into everyday creative practices like cooking.


📚 Read

Anya Kamenetz on the NPR Education blog examines personalized learning and the "future of education." Kamenetz discusses the intersection between the psychology of motivation, learning science, and artificial intelligence.

In speaking with more than a dozen educators, technologists, innovation experts and researchers, she's developed a theory: "Personalized learning" has become a Janus-faced word with at least two meanings in tension:

  1. Software-Paced Learning: The use of software to allow each student to proceed through a pre-determined body of knowledge, most often math, at his or her own pace.

  2. Student-Centered Learning: A whole new way of doing school, not necessarily focused on technology, where students set their own goals. They work both independently and together on projects that match their interests, while adults facilitate and invest in getting to know each student one-on-one, both their strengths and their challenges.

I also recommend this tweet thread from Audrey Watters as she unpacks the points made in the Kamenetz post. The tension between these definitions reveals deeper questions about whether technology serves learning or replaces it.

Increasingly we're not only being conditioned to operate as rats in a technological black box, but we're also training the box to make it smarter. "We shape our tools and then our tools shape us" becomes recursive when those tools learn from our conditioned behavior.

Have we been conditioned to accept a world governed by "smart" tech, trading convenience and cheap bliss to the point where we become a bit like machines ourselves? This piece examines how we've normalized jumping through digital hoops—CAPTCHAs, two-factor authentication, algorithm-dictated workflows—training ourselves to conform to machine logic rather than machines adapting to human needs.

Edwin Creely and Fleur Diamond in The Conversation discuss recent declines in test scores around writing and ways to thoughtfully embed joyful writing activities at home and school.

When writing becomes purely assessment-driven, students lose connection to why humans write in the first place: to think, to express, to connect, to create. The decline in writing scores may reflect not students' declining abilities but schools' declining focus on writing as meaning-making rather than standards-meeting.

A new study by researchers at Indiana University, published in Nature Communications, suggests that people put greater trust in messages that appear to originate from many people.

Researchers examined 14 million messages shared on Twitter between May 2016 and May 2017, spanning the presidential primaries and Trump's inauguration. They found it took just 6% of Twitter accounts identified as bots to spread 31% of "low-credibility" information on the social network. The bots managed this feat in just 2 to 10 seconds, thanks in large part to automated amplification.

This exploits a fundamental human heuristic: if many people are sharing something, it must be trustworthy. Bots weaponize social proof at machine speed before human critical thinking can engage.

Guidance from the Parenting for a Digital Future blog on helping youth negotiate screentime and develop advanced digital skills they'll need in their lives:

This framework treats digital engagement as inevitable and focuses on maximizing benefits while building critical capacity.


🔨 Do

Rethinking Social Media Relationships

I've been re-examining my use of social media after spending time researching and writing about it here in TL;DR.

My use of Twitter has slowed down as I've been experimenting more with IndieWeb philosophies. I've also been trying to identify the best mixture for me. This interview with rockstars in EduTwitter is helpful in thinking through these relationships.

Finding the sweet spot means balancing connection with autonomy, engagement with attention protection, community with individual sovereignty.


🤔 Consider

"Some painters transform the sun into a yellow spot, others transform a yellow spot into the sun." — Pablo Picasso

Picasso's observation about transformation applies to how we approach digital tools and pedagogies. Personalized learning can reduce student-centered education to a yellow spot—software pacing through predetermined content—or transform software into genuine student empowerment. Digital spaces can condition us into behavioral rats or we can transform those spaces into platforms for human flourishing. Bots reduce social proof to manipulation or we transform social networks into genuine trust-building. Writing instruction reduces joy to test scores or transforms assessment into meaning-making. The sweet spot lies in transformative vision not reductive implementation.


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Part of the 📧 Newsletter archive documenting digital literacy and technology.