In this ChatEDU Check-In: Teens, Tweens, and AI Part Two: AI Use Outside of School, Matt explores how youth are interacting with artificial intelligence platforms outside the classroom for personal, social, and emotional reasons. The discussion centers on data from the 2026 Common Sense Media study, highlighting both the risks of social isolation and the potential for productive tool use.

Key Takeaways:

Frequent AI use correlates with increased feelings of social isolation among teenagers, suggesting digital platforms may be replacing traditional face-to-face coping mechanisms.

Youth are increasingly bypassing peers and adults, relying on automated systems for personal advice, health queries, and long-term life guidance.

A significant literacy gap exists, as only about one third of students realize AI cannot distinguish between fact and fiction, leading to unearned trust in chatbot accuracy.

Matt’s Two Cents: While schools have heavily focused on creating policies around AI cheating, there is a glaring oversight regarding AI literacy and general digital fluency. District leaders need to recognize that students are turning to AI as life coaches and health advisors without understanding how these systems work. Because nearly half of students have never discussed AI with their families, districts must expand their instructional focus beyond academic integrity to help students critically evaluate AI outputs and safely navigate these tools outside of school.

Article:

A Comprehensive Report on Teens, Tweens, and AI

https://tinyurl.com/f8s35yyz

In this ChatEDU Check-In: The Common Sense Media Census: AI Use by Tweens and Teens (2026), Matt explores how students are leaning on AI to complete their schoolwork. A substantial majority of children are incorporating these automated platforms regularly into their daily routines. This rapid integration is fundamentally changing how students approach their assignments both at home and within the classroom.

Key Takeaways:

An overwhelming 85 percent of kids who utilize AI use it for homework, with 30 percent of high school students relying on it on a daily basis.

Students facing academic difficulty, particularly regarding focus and persistence, report a significantly higher frequency of turning to AI for help.

Schools are prioritizing plagiarism prevention and policy disclosures over deeper digital literacy, leaving half of students without training on how to evaluate information accuracy.

Matt’s Two Cents: The speed of AI adoption is drastically outpacing institutional instruction, leaving a dangerous gap in student fluency. While districts are quick to lay down restrictive guardrails and policy guidelines, they are failing to have meaningful adult conversations with students about navigating these tools safely. School leaders need to move beyond simple acceptable use boundaries and actively teach students how to question and verify automated output, transforming AI from a blind shortcut into an intentional learning coach.

Article:

A Comprehensive Report on Teens, Tweens, and AI

https://tinyurl.com/f8s35yyz

In this ChatEDU Check-In: Why Users Are Moving to DuckDuckGo, Liz explores how user backlash against Google's major artificial intelligence search overhaul is driving significant traffic to alternative platforms." This shift highlights a growing consumer demand for traditional search experiences that prioritize user control over automated summaries.

Key Takeaways:

Google is transforming its traditional link-based search engine into a conversational engine that prioritizes AI-generated overviews, causing user dissatisfaction.

DuckDuckGo has seen a major surge in traffic and mobile app downloads, growing up to 18 percent week-over-week as users seek out search options without forced AI integration.

While DuckDuckGo does offer its own private AI tools, its core appeal lies in giving users strict privacy protections and the ultimate choice in whether or not they interact with the technology.

Liz’s Two Cents: Users are pushing back against forced AI integration, showing that they value choice and control over automatic automation. For school district leaders, this serves as a critical reminder that when introducing new technologies, providing clear options to opt-out or choose traditional methods can significantly reduce user friction and building trust.

Article:

DuckDuckGo installs are up 30% as users reject being ‘force-fed’ Google’s AI Search

https://bit.ly/4xdzuqF

In this ChatEDU Check-In: Reality of the Learning Stall, Liz explores a computer science professor's experience with an undergraduate student who used an AI agent to complete a research project. The student relied entirely on the AI tool, leaving him completely unable to explain the logic of the code or notice critical flaws in the research methodology. This scenario highlights how automated tools can create an illusion of progress while halting actual learning.

Key Takeaways:

Invalid Experimentation: The AI generated the code, training data, and test data, creating a closed simulation that made the study scientifically invalid, which the student failed to notice.

Stalled Skill Development: Over-reliance on large language models prevents students from learning fundamental, discipline-specific skills, such as navigating and reading raw computer code.

The Illusion of Flawlessness: AI is optimized for user satisfaction and compliance, which can easily mislead inexperienced users into believing fundamentally flawed work is perfect.

Liz’s Two Cents: Generative AI removes the productive friction and tension necessary for true learning, creating a dangerous feedback loop where students mistake easy completion for actual understanding. School leaders must design learning experiences that require students to engage with basic fundamentals, ensuring automated tools do not bypass the cognitive struggle required to build genuine skills.

Article:

The Anatomy of a Learning Stall

https://bit.ly/4dY7fEX

In this ChatEDU Check-In: How People Are Actually Using AI in 2026, Matt explores a rigorous study analyzing thousands of real-world examples to reveal a massive shift towards personal and professional support. The data tracks over 12,000 use cases across platforms like Reddit, Quora, LinkedIn, TikTok, and YouTube to capture how people actually interact with AI in their daily lives.

Key Takeaways:

Individuals increasingly rely on AI for core human thinking, risking mental laziness and the erosion of independent thought when algorithms handle tasks from the very start.

Therapeutic and companion interactions have become the single highest-ranked use case, with users forming deep emotional bonds and anthropomorphizing chatbots to navigate personal hardships.

Significant "shadow usage" is occurring in the workplace, where employees secretly build AI workflows to bypass institutional hurdles and complete tasks faster without leadership's knowledge.

Matt’s Two Cents: School leaders need to look closely at how automation impacts cognitive engagement, shifting the focus from simply offloading clerical tasks to using AI intentionally as a colleague or coach that grows skills. Furthermore, the rise of emotional reliance on chatbots and undetected "shadow usage" highlights a critical gap between institutional governance and real-world behavior, signaling that districts must address the human and hidden dimensions of tech adoption.

Article:

How People Are Really Using AI in 2026

https://bit.ly/4ftzkoN