Study Finds Use in 'Nudging' Teachers to Apply Data Analytics
Nudging works.
Teenagers who report addictive use of screens at greater risk of suicidal behaviour, study shows
Whose call: A student-driven approach to school cell phone policies - eSchool News (Megan Pacheco · Challenge Success)
Report reveals new insights into effective online safety education - Education Matters Magazine
How to deal with online problems
State of the nation: e-learning in Canada
2025 EdTechNZ Annual Pulse Survey – Key Findings and Insights - EdTechNZ
89% of Parents Want Schools to Lead on Phone-Free Policies
Virtual teaching assistant provides personalized feedback; sees successful first deployment in classroom
AI in education needs more than innovation--it needs intention
‘I wanted to be a teacher not a cop’: the reality of teaching in the world of AI
Did the pandemic reopen gender-based math gaps?
COMMENTARY: Artificial intelligence isn’t ruining education; it’s exposing what’s already broken
“AI didn’t corrupt deep learning,” said Tiffany Noel, education researcher and professor at SUNY Buffalo. “It revealed that many assignments were never asking for critical thinking in the first place. Just performance. AI is just the faster actor; the problem is the script.”
“AI didn’t corrupt deep learning,” said Tiffany Noel, education researcher and professor at SUNY Buffalo. “It revealed that many assignments were never asking for critical thinking in the first place. Just performance. AI is just the faster actor; the problem is the script.”
Council of Europe to launch a Digital Citizenship Education Curriculum Framework
How useful are states' adolescent social media laws?
From Chalkboards to Chatbots : Evaluating the Impact of Generative AI on Learning Outcomes in Nigeria (English)
College Uncovered: Cyber School
For the first time, this year more students will take all of their courses online than those who take all of their courses in person
Student perceptions of AI 2025 - Jisc
EdTech’s Identity Crisis: Culture, Capital, and the People Caught in Between
Prominent chatbots routinely exaggerate science findings, study shows
When summarizing scientific studies, large language models (LLMs) like ChatGPT and DeepSeek produce inaccurate conclusions in up to 73% of cases, according to a study by Uwe Peters (Utrecht University) and Benjamin Chin-Yee (Western University, Canada/University of Cambridge, UK). The researchers tested the most prominent LLMs and analyzed thousands of chatbot-generated science summaries, revealing that most models consistently produced broader conclusions than those in the summarized texts.
NYTimes: A.I. Starting in Pre-K Would Be an ‘Unmitigated Disaster’
Students with access to generative A.I. did much better on practice tests for which they could use the A.I. But when all of the students were given an exam with no access to A.I., the control group with old-school study resources outperformed the group who studied with A.I.
NYTimes: The Professors Are Using ChatGPT, and Some Students Aren’t Happy About It
Can AI Really Fix Academic Research? - TechMates
Developers, educators view AI harms differently, research finds
AI isn’t replacing student writing – but it is reshaping it
Hands-On Intelligence: A Priority for Education and Tech Policies
Did the pandemic lockdowns improve digital skills?
Report: 2025 State of EdTech District Leadership
Attendance Doesn’t Equal Attention: Why Engagement Tells the Real Story
Science explains how children best learn math—and yes, timed practice helps