Filter by learning principle, evidence flag, type and audience. These labels describe source type and cited research; they do not rate study quality or learning impact.
Promising
2026-10-16 · arXiv new: cs.CY, cs.HC, cs.CL, cs.AI · Study (preprint)
Large language models (LLMs) are increasingly being adopted as teaching tools in computing education, particularly for developing AI tutors capable of answering student questions. With the rise in enrollment of international students in computing programs, researchers have begun to explore the difficulties that...
Why this label
- Promising: source is a preprint server (arXiv)
- Tutoring and personalization: matched 'Tutor'
Labels come from fixed keyword rules applied to the collected feed text. Method
Promising
2026-10-16 · arXiv new: cs.CY, cs.HC, cs.CL, cs.AI · Study (preprint)
Critique in design education depends on interpreting work in progress, articulating intentions and translating feedback into revisions. This technical report presents Critsly, an artefact-aware AI critique workspace, and StudioCrit, its architecture-studio research mode.
Why this label
- Promising: source is a preprint server (arXiv)
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
2026-10-16 · Frontiers in Education · Study
Large language models (LLMs) are increasingly used to support evaluative tasks, raising questions about whether their judgements remain independent when users provide prior evaluative information. This study examined the context sensitivity of GPT-5.5 Instant-generated academic peer-review evaluations under positive...
Why this label
- Research-backed: source is a peer-reviewed journal feed
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
2026-10-15 · Frontiers in Education · Study
Artificial Intelligence (AI) is increasingly part of higher education's institutional infrastructure, extending beyond teaching and learning to governance, administration, and student support. This study examines how AI Governance Readiness (AIGR) influences Administrative Efficiency through AI (AEAI), AI Fluency...
Policy and governance
Why this label
- Research-backed: source is a peer-reviewed journal feed
- Policy and governance: matched 'governance'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-10-15 · eSchool News · News
No matter where you turn today, it feels as though people just can’t stop talking about artificial intelligence (AI). Suddenly it’s become a part of our workspace, our entertainment, the tools we use for shopping and paying bills, but perhaps most notably, it’s quickly found its way into our classrooms.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-10-15 · Higher Ed Dive · News
At the National Association for College Admission Counseling conference, discussions ranged from AI in application essays to international recruitment.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-10-14 · EdSurge · News
How Learning Commons’ new open platform could help edtech companies and schools implement technology.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-10-13 · The 74 · News
Updated October 14, 2026 Over the past few weeks, the nation saw something that doesn’t happen very often: Rival tech leaders agreed that artificial intelligence development needs to slow down. They are talking about AI’s potential to harm humankind, but education technology developers need to think this way about...
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-10-13 · The Hechinger Report · News
Evan Perez could be the face of a new movement. He’s a first-year student attending Babson College on a full scholarship, majoring in business with a concentration in entrepreneurship.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-10-13 · Higher Ed Dive · News
University leaders discussed application essay strategies in the AI era at the National Association for College Admission Counseling's annual conference.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
2026-10-09 · Computers & Education (Elsevier) · Study
Publisher listing (abstract not yet available): Journal article in Computers & Education by Maria Ranieri, Gabriele Biagini. Available online 9 October 2026. Abstract on the publisher page.
Why this label
- Research-backed: source is a peer-reviewed journal feed
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-10-09 · EdTech Digest · News
Bans reward outdated skills. Grade judgment instead.
Policy and governance
Why this label
- Context: no study terms and no product claim in the collected text
- Policy and governance: matched 'AI Policy'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-10-08 · EdTech Digest · News
At EDTECH WEEK NYC, StartEd’s Alan Todd gathers CEOs to rethink learning, leadership, and growth in the age of AI. INTERVIEW | by Victor Rivero As AI reshapes learning and work, edtech leaders face growing pressure to show what their companies deliver.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-10-06 · eSchool News · News
AI is increasingly part of everyday leadership work, from drafting emails and reports to organizing ideas. Used thoughtfully, it can reduce administrative burden.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-10-05 · EdSurge · News
A backlash against classroom AI is sweeping public schools. But as New Mexico shows, blanket bans risk robbing students of early literacy interventions.
Why this label
- Context: no study terms and no product claim in the collected text
- Reading and writing: matched 'literacy'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-10-05 · eSchool News · News
For many schools, the path to AI literacy remains unclear. The challenge is not simply AI’s rapid evolution, but its ability to generate answers almost instantly, forcing educators to reconsider how learning is guided and measured.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-10-05 · EdTech Digest · News
Connected data is only the beginning. Institutions also need clear authority to turn AI insights into action.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
No evidence cited
2026-10-05 · Product Hunt · Launch / announcement
An AI tutor that teaches at a whiteboard, not a chat box
Why this label
- No evidence cited: launch or announcement; no study terms in the collected text
- Tutoring and personalization: matched 'tutor'
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
2026-10-03 · Computers & Education (Elsevier) · Study
Publisher listing (abstract not yet available): Journal article in Computers & Education by Jered Borup, Charles R. Graham, Leanna Archambault et al. Available online 3 October 2026. Abstract on the publisher page.
Why this label
- Research-backed: source is a peer-reviewed journal feed
Labels come from fixed keyword rules applied to the collected feed text. Method
No evidence cited
2026-10-01 · EdTech Magazine K-12 · Launch / announcement
Google has rolled out a wave of new artificial intelligence features across its ecosystem of products purpose-built for education. At the heart of these features sits Google Classroom, a learning hub for teachers and students globally.
Why this label
- No evidence cited: launch or announcement; no study terms in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-30 · EdSurge · News
In this episode of This Week with EdSurge, two former educators join to discuss EdReport's recent brief and explain why it is so important to verify ...
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-30 · EdTech Digest · News
FETC unveils an agenda for human leadership in the age of AI. GUEST COLUMN | by Jennifer Womble These are extraordinary times in education.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
2026-09-29 · Computers & Education (Elsevier) · Study
Publisher listing (abstract not yet available): Journal article in Computers & Education by Jiun-Yu Wu, An-Ching Shih, Yuan-Hsuan Lee et al. Available online 29 September 2026. Abstract on the publisher page.
Why this label
- Research-backed: source is a peer-reviewed journal feed
Labels come from fixed keyword rules applied to the collected feed text. Method
Promising
2026-09-29 · EdSurge · News
As AI features flood K-12 curricula, educators are left to filter proven quality from marketing hype.
Why this label
- Promising: matched 'Study'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-29 · EdTech Digest · News
The families with the most resources are buying more human support, not less. GUEST COLUMN | by Alicia Kacharia There is a lot of excitement about how, for the first time, every student can access a personalized tutor regardless of income, location, or level.
Why this label
- Context: no study terms and no product claim in the collected text
- Tutoring and personalization: matched 'tutor'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-29 · EdTech Magazine K-12 · News
Fueled by factors such as chronic absenteeism and pandemic learning challenges, students’ reading scores have been trending downward for years. A biennial National Assessment of Education Progress test found that approximately a third of eighth grade students lack basic reading skills, the largest percentage on record.
Why this label
- Context: no study terms and no product claim in the collected text
- Reading and writing: matched 'Literacy'
Labels come from fixed keyword rules applied to the collected feed text. Method
No evidence cited
2026-09-29 · Product Hunt · Launch / announcement
An AI tutor on an infinite whiteboard, not a chat thread
Why this label
- No evidence cited: launch or announcement; no study terms in the collected text
- Tutoring and personalization: matched 'tutor'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-28 · EdTech Magazine K-12 · News
Digital devices used for K - 12 learning have traditionally provided access to productivity software, research and digital assignments. But now, artificial intelligence technology is enabling devices to generate instructional material, guide students through problems and connect classroom workflows.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
2026-09-27 · Computers & Education (Elsevier) · Study
Publisher listing (abstract not yet available): Journal article in Computers & Education by Ramazan Yilmaz, Fatma Gizem Karaoglan Yilmaz. Available online 27 September 2026. Abstract on the publisher page.
Why this label
- Research-backed: source is a peer-reviewed journal feed
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-24 · EdTech Digest · News
The nation’s broadest restriction may buy educators time - but only teacher literacy can provide a durable path forward. GUEST COLUMN | by Sohan Choudhury On September 2, Mayor Mamdani announced a one-year moratorium on student-facing generative AI in New York City public schools, covering pre-K through eighth grade.
Why this label
- Context: no study terms and no product claim in the collected text
- Reading and writing: matched 'literacy'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-24 · EdTech Magazine K-12 · News
When schools talk about students using artificial intelligence, the conversation often begins with assignments. Are students using AI to brainstorm, summarize or complete work they should be doing themselves?
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-23 · EdSurge · News
The true metric of AI in school leadership is not time saved, but the presence and clarity restored to daily decision-making.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Promising
2026-09-23 · EdTech Digest · News
A new Cengage report finds entry-level jobs increasingly demand work-ready skills - pushing graduates toward internships, stepping-stone roles, and self-directed AI learning. An entry-level job is supposed to be where experience begins.
Why this label
- Promising: matched 'report finds'
Labels come from fixed keyword rules applied to the collected feed text. Method
No evidence cited
2026-09-22 · EdSurge · Launch / announcement
The CZI-backed initiative helps educators and developers use state standards, curricula, and datasets to create and evaluate classroom AI, but critics ...
Why this label
- No evidence cited: launch or announcement; no study terms in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-21 · EdSurge · News
From baseline AI literacy to early career exposure, Jobs for the Future president Maria Flynn shares how education systems can prepare young people for ...
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-18 · eSchool News · News
In 2023, Catherine Hartmann, a professor at the University of Wyoming, gave students in a history of meditation course a deeply personal assignment: try a contemplative practice and write a reflective analysis on the experience.
Assessment and grading
Why this label
- Context: no study terms and no product claim in the collected text
- Assessment and grading: matched 'exam'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-16 · EdSurge · News
By viewing our classrooms as interconnected ecosystems, we can move beyond the surface-level debate over technology to focus on cultivating judgment, ...
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-14 · EdSurge · News
The bans, coupled with a new APA report, signal a shift from rapid AI adoption toward more deliberate evaluation.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-11 · EdSurge · News
Using AI in IEP meetings can benefit parents and teachers - if done correctly.
Why this label
- Context: no study terms and no product claim in the collected text
- Inclusion and accessibility: matched 'IEP'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-09 · EdSurge · News
Students asking why learning matters in the age of AI forces two teachers to respond.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-09 · eSchool News · Report / framework
A new national framework from AACTE (American Association of Colleges for Teacher Education) aims to help educator preparation programs (EPPs) navigate the rapidly changing role of artificial intelligence in education.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-08 · EdSurge · News
The rise of so-called “baby slop” is turning early childhood educators into media critics.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Promising
2026-09-05 · Carl Hendrick (learning science) · Commentary
Roundup of new research on explaining answers, building knowledge, reading instruction, social media and the conditions under which AI helps students learn.
Why this label
- Promising: matched 'New Research'
- Reading and writing: matched 'reading instruction'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-04 · eSchool News · News
Schools are racing to teach students how to use AI. That is necessary, but it is not enough.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-03 · eSchool News · News
AI technology is advancing rapidly in schools, but research is increasingly showing that Large Language Models (LLMs) lack the common sense, morality, and knowledge of individual classroom dynamics needed to be truly equitable.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-02 · EdSurge · News
True innovation isn’t found in mastering every platform, but in being willing to ask deeper questions and take risks.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-09-01 · EdSurge · News
The new offering is promising, but there are some real-world reservations.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
2026-08-28 · Computers & Education (Elsevier) · Study
Publisher listing (abstract not yet available): Journal article in Computers & Education by Chen-Chung Liu, Chin-Chung Tsai, Ramazan Yilmaz et al. Available online 28 August 2026. Abstract on the publisher page.
Why this label
- Research-backed: source is a peer-reviewed journal feed
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-08-28 · EdSurge · News
Artificial intelligence can bridge the middle grades literacy gap by providing individualized student reading instruction at scale.
Why this label
- Context: no study terms and no product claim in the collected text
- Reading and writing: matched 'literacy'
Labels come from fixed keyword rules applied to the collected feed text. Method
No evidence cited
2026-08-28 · Product Hunt · Launch / announcement
AI courses you can watch, quiz through, and create
Why this label
- No evidence cited: launch or announcement; no study terms in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-08-27 · EdSurge · News
Four student artists map out what artificial intelligence means for their communities today - and 50 years from now.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-08-26 · EdSurge · News
Educators must shift their focus from preventing cognitive offloading to preserving the critical thinking skills AI threatens to replace.
Why this label
- Context: no study terms and no product claim in the collected text
- Cognitive load: matched 'cognitive offloading'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-08-25 · eSchool News · News
Long before computers entered our homes and classrooms, photographs helped shape what people believed. Images carried a particular kind of authority: We did not simply look at them; we often treated them as evidence.
Why this label
- Context: no study terms and no product claim in the collected text
- Inclusion and accessibility: matched 'multilingual learners'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-08-19 · EdSurge · News
On This Week with EdSurge, searching to see where artificial intelligence quietly adds up.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-08-17 · eSchool News · News
A year ago, many educators were still asking whether artificial intelligence belonged in the classroom. Some were cautiously experimenting with AI-generated lesson plans, while others were focused on preventing students from using it altogether.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
No evidence cited
2026-08-16 · Product Hunt · Launch / announcement
AI workspace for students
Why this label
- No evidence cited: launch or announcement; no study terms in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-08-13 · EdSurge · News
At a gathering in Boston, ‘student senators’ proposed a first-of-its-kind national AI policy for K-12 classrooms.
Policy and governance
Why this label
- Context: no study terms and no product claim in the collected text
- Policy and governance: matched 'AI Policy'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-08-12 · EdSurge · News
I left my school to ask tech executives how to prepare students for the future.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-08-07 · eSchool News · News
America’s schools are moving quickly to respond to the rise of artificial intelligence, with parents, teachers, administrators, and lawmakers working to wrap their arms around what this means for student education.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Promising
2026-08-05 · EdSurge · News
One national study, one local leader, and a reality check on how schools are really regulating AI.
Policy and governance
Why this label
- Promising: matched 'study'
- Policy and governance: matched 'AI Policy'
Labels come from fixed keyword rules applied to the collected feed text. Method
Promising
2026-08-04 · EdSurge · News
A new report highlights a growing push for tools tailored specifically to the classroom.
Why this label
- Promising: matched 'new report'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-08-03 · EdSurge · News
A teacher created an app to fight cheating - and discovered a bigger takeaway.
Academic integrity
Why this label
- Context: no study terms and no product claim in the collected text
- Academic integrity: matched 'cheating'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-07-14 · eSchool News · News
In an era defined by rapid technological advancement and an unprecedented explosion of information, public education stands at a pivotal and exciting crossroads.
Why this label
- Context: no study terms and no product claim in the collected text
- Tutoring and personalization: matched 'personalized learning'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-07-05 · Carl Hendrick (learning science) · Commentary
Why minimally guided AI does not work. Chatbots, novices, the automation of learning and the case for Alpha School
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-06-08 · Carl Hendrick (learning science) · Commentary
The most-cited AI-in-education paper gets retracted, retrieval practice hits a wall under high cognitive load, and a little knowledge turns out to be worse than none at all.
Why this label
- Context: no study terms and no product claim in the collected text
- Retrieval practice: matched 'retrieval practice'
- Cognitive load: matched 'cognitive load'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-06-05 · eSchool News · News
As I wrapped up my student conferences, one conversation stuck with me. Steven had barely touched his final project for our computer science course, a virtual simulation of a piano, despite showing real promise earlier in the year.
Why this label
- Context: no study terms and no product claim in the collected text
- Feedback: matched 'AI feedback'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-06-02 · eSchool News · News
In the second week of January, a senior mathematics teacher with 22 years in the classroom raised a hand at the end of a staff meeting and asked a question that changed the way I now design AI literacy work for entire faculties.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-05-30 · Carl Hendrick (learning science) · Commentary
AI tutoring will work when it stops pretending to be human
Why this label
- Context: no study terms and no product claim in the collected text
- Tutoring and personalization: matched 'tutoring'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-05-27 · eSchool News · News
The overreliance on AI is a widely discussed topic for teachers, administrators, and families alike. The last thing we want is for technology to stifle the creativity, expertise, and human connection that educators bring to the classroom or hinder our students’ ability to think critically.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Promising
2026-05-20 · eSchool News · News
There’s never been a more turbulent time for young people to plan for and embark on their futures, and a new survey gives insights on their feelings and plans.
Why this label
- Promising: matched 'survey'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-05-14 · eSchool News · News
AI is a daily reality in the nation's schools, and in Illinois, it shapes how students research, problem-solve, and create. Now, Teach Plus Illinois and the Illinois Digital Educators Alliance (IDEA) are releasing “From ‘Rules and Tools’ to Schools,” a follow-up to the 2024 report that first sounded the alarm on AI's...
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Promising
2026-05-12 · eSchool News · News
AI plays a supportive educational role for nearly 70 percent of top-performing math students asked about their study habits, according to a new survey.
Why this label
- Promising: matched 'survey'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-05-06 · Carl Hendrick (learning science) · Commentary
New evidence on the limits of retrieval practice, phone bans that don't move test scores, ChatGPT as cognitive crutch, and why early vocabulary growth tells us surprisingly little about later reading
Why this label
- Context: no study terms and no product claim in the collected text
- Retrieval practice: matched 'retrieval practice'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-05-05 · eSchool News · News
In many schools, AI is being handled through individual teacher decisions rather than a shared structure. That makes sense in the short term.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-04-28 · eSchool News · News
AI is rapidly reshaping education, but not always in ways that support learning. A growing number of AI tools promise to “help” students by doing assignments, writing papers, solving problem sets, or even completing exams automatically.
Assessment and grading
Why this label
- Context: no study terms and no product claim in the collected text
- Assessment and grading: matched 'exams'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-04-24 · eSchool News · News
AI is here, and it’s moving fast. For schools, that speed is both an opportunity and a risk: The right tools can transform learning, but the wrong ones can compromise data, equity, and instructional goals.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-04-22 · eSchool News · News
Some might worry that the introduction of AI tools in the English classroom will simply lead to more cheating and even worse literacy rates, leaving students unprepared for college and careers that demand strong writing and communication skills.
Why this label
- Context: no study terms and no product claim in the collected text
- Reading and writing: matched 'literacy'
- Academic integrity: matched 'cheating'
Labels come from fixed keyword rules applied to the collected feed text. Method
Promising
2026-04-17 · eSchool News · News
Recent findings on the negative impacts of AI on learning might be sparking national debate, but they are unsurprising to learning scientists.
Why this label
- Promising: matched 'findings'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-04-15 · eSchool News · News
Last fall, during a professional development session I was running with a group of teachers in São Paulo, a fifth-grade teacher raised her hand and asked a question I have since heard in every country I work in: “I want to use AI to plan better lessons. But how do I do that without just putting kids in front of...
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-04-11 · Carl Hendrick (learning science) · Commentary
Retrieval practice under scrutiny, feedback's missing mechanism, AI that actually teaches, and the quiet erosion of cognitive effort
Why this label
- Context: no study terms and no product claim in the collected text
- Retrieval practice: matched 'Retrieval practice'
- Cognitive load: matched 'cognitive effort'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-04-10 · eSchool News · News
Most project-based learning workshops are built around three domains: design, assessment, and implementation.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-04-09 · eSchool News · News
While nearly every industry is racing to integrate artificial intelligence, most schools are still teaching high school math the way it’s been done for decades--rooted in instructional material that is abstract, disconnected, and detached from the world students actually live in.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-03-26 · eSchool News · News
When I shipped Gramms AI to the App Store, I ran straight into a question that every developer building for kids will eventually face: What does “age-appropriate” actually mean in practice? And how do you build systems that enforce it reliably?
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-03-25 · eSchool News · News
Student use of AI for homework increased in 2025, even as more students are worried the technology may be harming their ability to think critically, according to a new RAND report.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-03-18 · eSchool News · News
Last year, a third-grade teacher in São Paulo told me she had "finally found the perfect AI tool." It generated colorful worksheets in seconds. Vocabulary lists, reading comprehension questions, even a quiz.
Why this label
- Context: no study terms and no product claim in the collected text
- Reading and writing: matched 'reading comprehension'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-03-14 · Carl Hendrick (learning science) · Commentary
The Cognitive Price of AI at Work, and the Learning Science Case for Optimism
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-03-12 · eSchool News · News
Artificial intelligence is no longer approaching the classroom--it is already embedded in it. Students are using generative tools to brainstorm, summarize, translate, draft, and revise.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Promising
2026-03-08 · Carl Hendrick (learning science) · Commentary
New studies on retrieval practice, seductive details, engagement myths, reading instruction, and the cognitive costs of modern technology
Why this label
- Promising: matched 'studies'
- Retrieval practice: matched 'retrieval practice'
- Reading and writing: matched 'reading instruction'
Labels come from fixed keyword rules applied to the collected feed text. Method
Promising
2026-03-04 · eSchool News · News
AI is transforming the way students discover, evaluate, and choose colleges, according to a national survey of more than 5,000 high school students conducted by education company EAB.
Why this label
- Promising: matched 'survey'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-02-23 · eSchool News · News
Who among us has never copied a homework answer in a hurry? Borrowed a friend’s paragraph?
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Promising
2026-02-05 · eSchool News · News
Rather than replacing student thinking, when teachers design and guide AI experiences, the technology is most often used to deepen critical thinking and strengthen instruction
Why this label
- Promising: matched 'New research'
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-02-03 · eSchool News · News
Remember the early 2000s, back when high-speed internet felt like a luxury reserved for the tech elite and the lucky few with deep pockets? We called it the Broadband Gap or Equity of Access, and it influenced who got ahead and who got left behind.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-02-02 · eSchool News · News
Sixty-five percent of educators use AI to bridge resource gaps, even as platform fatigue and a lack of system integration threaten productivity, according to Jotform's EdTech Trends 2026 report.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-01-29 · eSchool News · News
AI has crossed a threshold. In 2026, it is no longer a pilot category or a differentiator you add on.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Context
2026-01-27 · eSchool News · News
Picture someone sitting at a kitchen table after the kids are finally in bed, laptop open, half-drunk mug of herbal tea nearby. For years, she has had a vague idea for a business--custom curriculum design for small learning pods, for example, or a micro-studio creating bespoke art for local nonprofits.
Why this label
- Context: no study terms and no product claim in the collected text
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
Listed for the February 2027 issue · Computers & Education (Elsevier) · Study
Publisher listing (abstract not yet available): Journal article in Computers & Education, Volume 257 by Jihyun Rho, Rui Guo, Hai Li et al. Issue: February 2027. Abstract on the publisher page.
Why this label
- Research-backed: source is a peer-reviewed journal feed
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
Listed for the February 2027 issue · Computers & Education (Elsevier) · Study
Publisher listing (abstract not yet available): Journal article in Computers & Education, Volume 257 by Ari Kim. Issue: February 2027. Abstract on the publisher page.
Why this label
- Research-backed: source is a peer-reviewed journal feed
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
Listed for the February 2027 issue · Computers & Education (Elsevier) · Study
Publisher listing (abstract not yet available): Journal article in Computers & Education, Volume 257 by Wenjun Zhong, Jianghua Luo, Shuhui Yu et al. Issue: February 2027. Abstract on the publisher page.
Why this label
- Research-backed: source is a peer-reviewed journal feed
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
Listed for the January 2027 issue · Computers & Education (Elsevier) · Study
Publisher listing (abstract not yet available): Journal article in Computers & Education, Volume 256 by Chengchen Li, Ye Han, Enhao Feng. Issue: January 2027. Abstract on the publisher page.
Why this label
- Research-backed: source is a peer-reviewed journal feed
- Reading and writing: matched 'L2 writing'
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
Listed for the January 2027 issue · Computers & Education (Elsevier) · Study
Publisher listing (abstract not yet available): Journal article in Computers & Education, Volume 256 by Bart Rienties, Duygu Bektik, Emily Coughlan et al. Issue: January 2027. Abstract on the publisher page.
Why this label
- Research-backed: source is a peer-reviewed journal feed
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
Listed for the January 2027 issue · Computers & Education (Elsevier) · Study
Publisher listing (abstract not yet available): Journal article in Computers & Education, Volume 256 by Siya Liang, King Woon Yau, Helen Meng et al. Issue: January 2027. Abstract on the publisher page.
Why this label
- Research-backed: source is a peer-reviewed journal feed
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
Listed for the January 2027 issue · Computers & Education (Elsevier) · Study
Publisher listing (abstract not yet available): Journal article in Computers & Education, Volume 256 by Qing Ma, Fang Mei, Peter Crosthwaite et al. Issue: January 2027. Abstract on the publisher page.
Why this label
- Research-backed: source is a peer-reviewed journal feed
Labels come from fixed keyword rules applied to the collected feed text. Method
Research-backed
Listed for the January 2027 issue · Computers & Education (Elsevier) · Study
Publisher listing (abstract not yet available): Journal article in Computers & Education, Volume 256 by Hongfeng Zhang, Liwei Ding, Jinqiao Zhou. Issue: January 2027. Abstract on the publisher page.
Why this label
- Research-backed: source is a peer-reviewed journal feed
Labels come from fixed keyword rules applied to the collected feed text. Method