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Tag: edtech
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A practical guide for sourcing edtech
Key points:
Virtual reality field trips now enable students to explore the Great Wall of China, the International Space Station, and ancient Rome without leaving the classroom. Gamified online learning platforms can turn lessons into interactive challenges that boost engagement and motivation. Generative AI tutors are providing real-time feedback on writing and math assignments, helping students sharpen their skills with personalized support in minutes.
Education technology is accelerating at a rapid pace–and teachers are eager to bring these digital tools to the classroom. But with pandemic relief funds running out, districts are having to make tougher decisions around what edtech they can afford, which vendors will offer the greatest value, and, crucially, which tools come with robust cybersecurity protections.
Although educators are excited to innovate, school leaders must weigh every new app or online platform against cybersecurity risks and the responsibility of protecting student data. Unfortunately, those risks remain very real: 6 in 10 K-12 schools were targeted by ransomware in 2024.
Cybersecurity is harder for some districts than others
The reality is that school districts widely vary when it comes to their internal resources, cybersecurity expertise, and digital maturity.
A massive urban system may have a dedicated legal department, CISO, and rigid procurement processes. In a small rural district, the IT lead might also coach soccer or direct the school play.
These discrepancies leave wide gaps that can be exploited by security threats. Districts are often improvising vetting processes that vary wildly in rigor, and even the best-prepared system struggles to know what “good enough” looks like as technology tools rapidly accelerate and threats evolve just as fast.
Whether it’s apps for math enrichment, platforms for grading, or new generative AI tools that promise differentiated learning at scale, educators are using more technology than ever. And while these digital tools are bringing immense benefits to the classroom, they also bring more threat exposure. Every new tool is another addition to the attack surface, and most school districts are struggling to keep up.
Districts are now facing these critical challenges with even fewer resources. With the U.S. Department of Education closing its Office of EdTech, schools have lost a vital guidepost for evaluating technology tools safely. That means less clarity and support, even as the influx of new tech tools is at an all-time high.
But innovation and protection don’t have to be in conflict. Schools can move forward with digital tools while still making smart, secure choices. Their decision-making can be supported by some simple best practices to help guide the way.
5 green flags for evaluating technology tools
New School Safety Resources
With so many tools entering classrooms, knowing how to assess their safety and reliability is essential. But what does safe and trustworthy edtech actually look like?
You don’t need legal credentials or a cybersecurity certification to answer that question. You simply need to know what to look for–and what questions to ask. Here are five green flags that can guide your decisions and boost confidence in the tools you bring into your classrooms.
- Clear and transparent privacy policies
A strong privacy policy should be more than a formality; it should serve as a clear window into how a tool handles data. The best ones lay out exactly what information is collected, why it’s needed, how it’s used, and who it’s shared with, in plain, straightforward language.
You shouldn’t need legal training to make sense of it. Look for policies that avoid vague, catch-all phrases and instead offer specific details, like a list of subprocessors, third-party services involved, or direct contact information for the vendor’s privacy officer. If you can’t quickly understand how student data is being handled, or if the vendor seems evasive when you ask, that’s cause for concern.
- Separation between student and adult data
Student data is highly personal, extremely sensitive, and must be treated with extra care. Strong vendors explicitly separate student data from educator, administrator, and parent data in their systems, policies, and user experiences.
Ask how student data is accessed internally and what safeguards are in place. Does the vendor have different privacy policies for students versus adults? If they’ve engineered that distinction into their platform, it’s a sign they’ve thought deeply about your responsibilities under FERPA and COPPA.
- Third-party audits and certifications
Trust, but verify. Look for tools that have been independently evaluated through certifications like the Common Sense Privacy Seal, iKeepSafe, or the 1EdTech Trusted App program. These external audits validate that privacy claims and company practices are tested against meaningful standards and backed up by third-party validation.
Alignment with broader security frameworks like NIST Cybersecurity Framework (CSF), ISO 27001, or SOC 2 can add another layer of assurance, especially in states where district policies lean heavily on these benchmarks. These technical frameworks should complement radical transparency. The most trustworthy vendors combine certification with transparency: They’ll show you exactly what they collect, how they store it, and how they protect it. That openness–and a willingness to be held accountable–is the real marker of a privacy-first partner.
- Long-term commitment to security and privacy
Cybersecurity shouldn’t be a one-and-done checklist. It’s a continual practice. Ask vendors how they approach ongoing risks: Do they conduct regular penetration testing? Is a formal incident response plan in place? How are teams trained on phishing threats and secure coding?
If they follow a framework like the NIST CSF, that’s great. But also dig into how they apply it: What’s their track record for patching vulnerabilities or communicating breaches? A real commitment shows up in action, not just alignment.
- Data minimization and purpose limitations
Trustworthy technology tools collect only what’s essential–and vendors can explain why they need it. If you ask, “Why do you collect this data point?” they should have a direct answer that ties back to functionality, not future marketing.
Look for platforms that commit to never repurposing student data for behavioral ad targeting. Also, ask about deletion protocols: Can data be purged quickly and completely if requested? If not, it’s time to ask why.
Laying the groundwork for a safer school year
Cybersecurity doesn’t require a 10-person IT team or a massive budget. Every district, no matter the size, can take meaningful, manageable steps to reduce risk, establish guardrails, and build trust.
Simple, actionable steps go a long way: Choose tools that are transparent about data use, use trusted frameworks and certifications as guideposts, and make cybersecurity training a regular part of staff development. Even small efforts , like a five-minute refresher on phishing during back-to-school sessions, can have an outsized impact on your district’s overall security posture.
For schools operating without deep resources or internal expertise, this work is especially urgent–and entirely possible. It just requires knowing where to start.
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Data, privacy, and cybersecurity in schools: A 2025 wake-up call
Key points:
In 2025, schools are sitting on more data than ever before. Student records, attendance, health information, behavioral logs, and digital footprints generated by edtech tools have turned K-12 institutions into data-rich environments. As artificial intelligence becomes a central part of the learning experience, these data streams are being processed in increasingly complex ways. But with this complexity comes a critical question: Are schools doing enough to protect that data?
The answer, in many cases, is no.
The rise of shadow AI
According to CoSN’s May 2025 State of EdTech District Leadership report, a significant portion of districts, specifically 43 percent, lack formal policies or guidance for AI use. While 80 percent of districts have generative AI initiatives underway, this policy gap is a major concern. At the same time, Common Sense Media’s Teens, Trust and Technology in the Age of AI highlights that many teens have been misled by fake content and struggle to discern truth from misinformation, underscoring the broad adoption and potential risks of generative AI.
This lack of visibility and control has led to the rise of what many experts call “shadow AI”: unapproved apps and browser extensions that process student inputs, store them indefinitely, or reuse them to train commercial models. These tools are often free, widely adopted, and nearly invisible to IT teams. Shadow AI expands the district’s digital footprint in ways that often escape policy enforcement, opening the door to data leakage and compliance violations. CoSN’s 2025 report specifically notes that “free tools that are downloaded in an ad hoc manner put district data at risk.”
Data protection: The first pillar under pressure
The U.S. Department of Education’s AI Toolkit for Schools urges districts to treat student data with the same care as medical or financial records. However, many AI tools used in classrooms today are not inherently FERPA-compliant and do not always disclose where or how student data is stored. Teachers experimenting with AI-generated lesson plans or feedback may unknowingly input student work into platforms that retain or share that data. In the absence of vendor transparency, there is no way to verify how long data is stored, whether it is shared with third parties, or how it might be reused. FERPA requires that if third-party vendors handle student data on behalf of the institution, they must comply with FERPA. This includes ensuring data is not used for unintended purposes or retained for AI training.
Some tools, marketed as “free classroom assistants,” require login credentials tied to student emails or learning platforms. This creates additional risks if authentication mechanisms are not protected or monitored. Even widely-used generative tools may include language in their privacy policies allowing them to use uploaded content for system training or performance optimization.
Data processing and the consent gap
Generative AI models are trained on large datasets, and many free tools continue learning from user prompts. If a student pastes an essay or a teacher includes student identifiers in a prompt, that information could enter a commercial model’s training loop. This creates a scenario where data is being processed without explicit consent, potentially in violation of COPPA (Children’s Online Privacy Protection Act) and FERPA. While the FTC’s December 2023 update to the COPPA Rule did not codify school consent provisions, existing guidance still allows schools to consent to technology use on behalf of parents in educational contexts. However, the onus remains on schools to understand and manage these consent implications, especially with the rule’s new amendments becoming effective June 21, 2025, which strengthen protections and require separate parental consent for third-party disclosures for targeted advertising.
Moreover, many educators and students are unaware of what constitutes “personally identifiable information” (PII) in these contexts. A name combined with a school ID number, disability status, or even a writing sample could easily identify a student, especially in small districts. Without proper training, well-intentioned AI use can cross legal lines unknowingly.
Cybersecurity risks multiply
AI tools have also increased the attack surface of K-12 networks. According to ThreatDown’s 2024 State of Ransomware in Education report, ransomware attacks on K-12 schools increased by 92 percent between 2022 and 2023, with 98 total attacks in 2023. This trend is projected to continue as cybercriminals use AI to create more targeted phishing campaigns and detect system vulnerabilities faster. AI-assisted attacks can mimic human language and tone, making them harder to detect. Some attackers now use large language models to craft personalized emails that appear to come from school administrators.
Many schools lack endpoint protection for student devices, and third-party integrations often bypass internal firewalls. Free AI browser extensions may collect keystrokes or enable unauthorized access to browser sessions. The more tools that are introduced without IT oversight, the harder it becomes to isolate and contain incidents when they occur. CoSN’s 2025 report indicates that 60 percent of edtech leaders are “very concerned about AI-enabled cyberattacks,” yet 61 percent still rely on general funds for cybersecurity efforts, not dedicated funding.
Building a responsible framework
To mitigate these risks, school leaders need to:
- Audit tool usage using platforms like Lightspeed Digital Insight to identify AI tools being accessed without approval. Districts should maintain a living inventory of all digital tools. Lightspeed Digital Insight, for example, is vetted by 1EdTech for data privacy.
- Develop and publish AI use policies that clarify acceptable practices, define data handling expectations, and outline consequences for misuse. Policies should distinguish between tools approved for instructional use and those requiring further evaluation.
- Train educators and students to understand how AI tools collect and process data, how to interpret AI outputs critically, and how to avoid inputting sensitive information. AI literacy should be embedded in digital citizenship curricula, with resources available from organizations like Common Sense Media and aiEDU.
- Vet all third-party apps through standards like the 1EdTech TrustEd Apps program. Contracts should specify data deletion timelines and limit secondary data use. The TrustEd Apps program has vetted over 12,000 products, providing a valuable resource for districts.
- Simulate phishing attacks and test breach response protocols regularly. Cybersecurity training should be required for staff, and recovery plans must be reviewed annually.
Trust starts with transparency
In the rush to embrace AI, schools must not lose sight of their responsibility to protect students’ data and privacy. Transparency with parents, clarity for educators, and secure digital infrastructure are not optional. They are the baseline for trust in the age of algorithmic learning.
AI can support personalized learning, but only if we put safety and privacy first. The time to act is now. Districts that move early to build policies, offer training, and coordinate oversight will be better prepared to lead AI adoption with confidence and care.
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Digital learning is different
Key points:
In the animated film Up, the character Dug is a talking dog with an interesting mannerism. Each time he sees a movement off to the side, he stops whatever he is doing, stares off in that direction and shouts, “Squirrel!” I feel that this is a perfect representation of how schools often deal with new and emerging technologies. They can be working hard to provide the best instruction for their students but become immediately distracted anytime a new technology is introduced.
From the internet and computers to cell phones and artificial intelligence, schools continue to invest a lot of time and money into figuring out how best to use these new technologies. Overall, schools have done a good job adapting to the numerous digital tools introduced in classrooms and offices–and often, these tools are introduced as standalone initiatives. Why do school districts feel the need to ‘reinvent the wheel’ every time a new technology is released? Instead of looking at each new technology as a tool that must be integrated in the curriculum, why not determine what is missing from current instruction and identify what prevents integration from occurring naturally?
Schools need to recognize that it is not just learning how to use these new digital tools that is important. They must learn how to interpret and use the incredible variety of resources that accompany these tools–resources that provide perspectives that students would never have access to when using physical resources.
Digital is different
For centuries, learning material has come from a variety of physical resources. These include human-made items (i.e. textbooks, documents, paintings, audio recordings, and movies) as well as one of the most commonly used physical resources: teachers. In traditional instruction, teachers spend a great deal of class time teaching students information from these physical resources. But the physical nature of these resources limits their availability to students. To ensure that students have long-term access to the information provided by these physical resources, most traditional instruction emphasizes memorization, summarizing, and note taking.
With digital resources, students can access information at any time from anywhere, which means learning how to retain information is less important than learning how to effectively find credible information. The authenticity of the information is important because the same tools that are used to access digital resources can just as easily be used to create new digital resources. This means there is a lot of misinformation available online, often consisting of nothing more than personal opinions. Students need to not only be able to search for information online, but they also need to be able to verify the authenticity of online information. The ability to identify misleading or false information is a skill that will benefit them in their personal and academic lives.
Learning
While it is fairly easy to find information online, especially with the inclusion of AI in search engines, there are some search techniques that will reduce the amount of misinformation found in simple search requests. By teaching students how to refine their searches and discussing the impact of these search skills, students will be more discerning when it comes to reviewing search results. They need to be aware that the most helpful sites do not always appear at the top of the search list. Some sites are sponsored and thus automatically placed at the beginning of the search list. Other sites will tweak their web search parameters to ensure a higher priority in the search list. A better understanding of how online searching works will result in more effective searches.
Once information is found, the authenticity of the resource and the information itself needs to be established. Fortunately, there are standard practices that can be utilized to teach verification. In the early 2000’s, a popular checklist method called CRAAP (Currency [timeliness], Relevance, Authority, Accuracy, Purpose) emerged. While this method was effective in evaluating the authenticity of the website, it did not ensure the accuracy of the information on the website. In 2019, the SIFT (Stop, Investigate, Find confirming resources, and Trace claims) methodology was introduced. This methodology focuses on determining if online content is credible. These are not the only tools available to teachers. Librarians and media specialists are a good place to start when determining age-appropriate lessons and material to teach verification.
Students need to have access to some high-quality digital resources starting in elementary school. Teaching website verification at an early age will help students understand, from the beginning, that there is a lot of misinformation available online. At the same time, schools need to ensure that they provide access to digital resources that are age appropriate. Today’s network technology provides many ways for schools to monitor and control what information or sites are available to students at different grade levels. While these network tools are effective, they should be used in conjunction with well-trained teachers who understand how to safely navigate digital resources and students who are expected to practice responsible internet behavior. Introducing a select number of digital resources in elementary classes is the first step toward creating discerning researchers who will gain the ability to effectively judge a website’s appropriateness and usefulness.
Teaching
In order to create opportunities for students to experience learning with digital resources, instructional practices need to be less reliant on teacher-directed instruction. The use of physical resources requires the teacher to be the primary distributor of the information. Typically, this is done through lecture or whole-class presentations. With digital resources, students have direct access to the information, so whole-class distribution is not necessary. Instead, instructional practices need to provide lessons that emphasize finding and verifying information, which can be done by shifting to a learner-centered instructional model. In a learner-centered lesson, the onus falls on the student to determine what information is needed, and if the found information is credible for a given task. The class time that previously would have been spent on lecture becomes time for students to practice finding and authenticating online information. Initially, these learning experiences would be designed as guided practice for finding specific information. As students become more proficient with their search skills, the lesson can shift toward project-based lessons.
Project-based lessons will help students learn how to apply the information they find, as well as determine what unknown information they need to complete the work. Unlike lesson design for practicing information searching and verification, project-based lessons provide opportunities for students to decide what information is needed and how best to use it. Instead of directing the student’s information-gathering, the teacher provides guidance to ensure they are accessing information that will allow the students to complete the project.
This shift in instruction does not necessarily mean there will be a significant curricular change. The curricular content will remain the same, but the resources could be different. Because students control what resources they use, it is possible that they could find resources different from the ones specified in the curriculum. Teachers will need to be aware of the resources students are using and may have to spend time checking the credibility of the resource. Given the varying formats (text, audio, video, graphic) available with digital resources, students will be able to determine which format(s) best supports their learning style. Because most digital tools utilize the same digital resources and formats, teaching students how to learn with digital resources will prepare them for adapting to the next new digital tool. It is simply a matter of learning how to use the tool–after all, they already know how to use the resource.
When creating units of study, teachers should consider the type of resources students will be using. To simplify matters, some units should be designed to utilize digital resources only and include lessons that teach students how to find and verify information. Students still need to develop skills to work with physical resources as well. It may be helpful to start off with units that utilize only physical or digital resources. That way teachers can focus on the specific skills needed for each type of resource. As students gain proficiency with these skills, they will learn to use the appropriate skills for the given resources.
The amount of information available to the public today is staggering. Unfortunately, too much of it is unverified and even purposely misleading. Trying to stop misinformation from being created and distributed is not realistic. But teaching students how to validate online information can make the distribution of and exposure to misinformation much less impactful. The open nature of the internet allows for many divergent opinions and perspectives. We need to ensure that when students graduate, they have the skills necessary to determine the authenticity of online information and to be able to determine its merit.
Teaching and learning with digital resources is different, and traditional instruction does not meet the learning needs of today’s students. Giving students the opportunity to master learning with digital resources will prepare them for the next technology “squirrel” and will enable them to determine how best to use it on their own.
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8 under-the-radar digital learning resources
Key points:
Digital learning resources are transforming classrooms, and educators are always on the lookout for tools that go beyond the standard platforms. There are numerous lesser-known digital platforms that offer unique, high-quality learning experiences tailored to students’ and teachers’ needs.
Here are ten standout resources that can enhance instruction, boost engagement, and support deeper learning.
Subject areas: All subjects
Best for: Interactive learning content creationCurrikiStudio is a free, open-source platform that allows teachers to design interactive learning experiences without needing coding skills. Educators can create multimedia lessons, games, and assessments tailored to their curriculum. It’s ideal for flipped classrooms, project-based learning, or blended learning environments.
2. InqITS (Inquiry Intelligent Tutoring System)
Subject areas: Science
Best for: Developing scientific inquiry skillsInqITS offers virtual science labs where students can conduct experiments, analyze results, and receive real-time feedback. The platform uses AI to assess student performance and provide just-in-time support, making it a great tool for teaching scientific practices and critical thinking aligned with NGSS.
3. Parlay
Subject areas: ELA, Social Studies, Science
Best for: Structured online and in-class discussionsParlay enables educators to facilitate student discussions in a more inclusive and data-informed way. With written and live discussion formats, students can express their ideas while teachers track participation, collaboration, and the quality of responses. It’s an excellent tool for fostering critical thinking, debate, and reflective dialogue.
Subject areas: Geography, History, Global Studies
Best for: Geospatial learning and global awarenessGeoguessr EDU is an educational version of the popular game that drops players into a random location via Google Street View. Students use context clues to determine where they are, building skills in geography, culture, and critical observation. The EDU version allows teachers to control content and track student progress.
Subject areas: Science
Best for: Middle school science with an inquiry-based approachMosa Mack offers animated science mysteries that prompt students to explore real-world problems through investigation and collaboration. With built-in differentiation, hands-on labs, and assessments, it’s a rich resource for schools seeking engaging science content that supports NGSS-aligned inquiry and critical thinking.
6. Listenwise
Subject areas: ELA, Social Studies, Science
Best for: Listening comprehension and current eventsListenwise curates high-quality audio stories from public radio and other reputable sources, paired with interactive transcripts and comprehension questions. It helps students build listening skills while learning about current events, science topics, and historical moments. It’s especially helpful for English learners and auditory learners.
Subject areas: Media Literacy, Social Studies
Best for: Analyzing propaganda and media messagesCreated by media literacy expert Renee Hobbs, Mind Over Media teaches students to critically analyze modern propaganda in advertising, news, social media, and political content. Through guided analysis and opportunities to submit their own examples, students build essential digital citizenship and media literacy skills.
8. Brilliant
Subject areas: Math, Science, Computer Science
Best for: Problem-solving and conceptual learningBrilliant.org offers interactive lessons and puzzles that teach students how to think logically and apply concepts rather than simply memorize formulas. With content tailored for advanced middle schoolers and high school students, it’s ideal for enrichment, gifted learners, or students seeking challenge and depth in STEM topics.
Each of these digital learning tools brings something unique to the table–whether it’s fostering deeper discussion, building scientific inquiry skills, or promoting digital literacy.
As schools look to personalize learning and prepare students for a complex, fast-evolving world, these lesser-known platforms provide meaningful ways to deepen engagement and understanding across subjects.
By incorporating these tools into your classroom, you not only diversify your digital toolkit but also give students access to a wider range of learning modalities and real-world applications. Whether you’re looking for curriculum support, project-based tools, or enrichment resources, there’s a good chance one of these platforms can help meet your goals.
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Beyond Hype and Fluff: Lessons for AI from 25 Years of EdTech
- This blog is by Rod Bristow is CEO of College Online which provides access to lifelong learning, Chair of Council at the University of Bradford, Visiting Professor at the UCL Institute of Education, Chair of the Kortext Academic Advisory Board and former President at Pearson.
I am an advocate for education technology. It is a growing force for good, providing great solutions to real problems:
- Reducing teacher workload through lesson planning, curriculum development, homework submission and marking, formative assessments, course management systems and more;
- Improving learning outcomes through engaging, immersive experiences, adaptive assessments and the generation of rich data about learning;
- Widening access to content and tools through aggregation platforms across thousands of publishers and millions of textbooks; and
- Widening access to courses and qualifications for the purpose of lifelong learning using online and blended modes of delivery.
Products and services that solve these problems will continue to take root.
All that said, we have not seen the widespread transformation in education that technology promised to deliver, and investors have had their fingers burned. We could argue this results from unrealistic expectations rather than poor achievement, but there are lessons to be learned.
According to HolonIQ:
2024 saw $2.4 billion of EdTech Venture Capital, representing the lowest level of investment since 2015. The hype of 2021 is well and truly over, with investors seeking fundamentals over ‘fluff’.
From HolonIQ The chart says it all. Steady growth in investment over the last decade culminated in a huge peak during Covid. Hype and ‘fluff’ overtook rational thinking, and several superficially attractive businesses spiked and then plummeted in value. In education, details and evidence of impact (or efficacy) matter. Without them, lasting scale is much harder to achieve.
The pendulum has now swung the other way, with investors harder to convince. Investors and entrepreneurs need to ask the question, ‘Does it work?’ before considering how it scales. If they do, they will see plenty of applications that both work and scale, and better-educated investors will be good for the sector.
One of the biggest barriers to scale is the complexity of implementation with teachers, without whom there is little impact. Without getting into the debate about teacher autonomy, most teachers like to do their own thing. And products which bypass teachers, marketed directly to consumers, often struggle to show as much impact and financial return.
Will things be different with AI? The technology, being many times more powerful, will handle much greater flexibility of implementation for teachers than we have seen so far. AI has even greater potential to solve real problems: widening access to learning, saving time for teachers and engaging learners through adaptive digital formative assessment and deeply immersive learning experiences through augmented reality.
But risks of ‘over-selling’ the benefits of AI technologies are potentially heightened by its very power. AI can generate mind-boggling ‘solutions’ for learners which dramatically reduce workload. Some of these are good in making learning more efficient, but questions of efficacy remain. Learning intrinsically requires work: it is done by you, not to you. Technology should not try to make learning easy, but to make hard work stimulating and productive if it is to sustain over the long term.
There is a clear and present danger that AI will undermine learning if high-stakes assessments relying on coursework do not keep pace with the reality of AI. This is a risk yet to be gripped by regulators. There is also little evidence that, for example, AI will ever replace the inspiration of human teachers, and those saying their solutions will do so must make a very strong case. Technology companies can help, but they can also do harm.
New technologies must be grounded in what improves learning, especially when unleashing the power of AI. This is entirely possible.
There are many areas of great promise, but none more so than the enormous expansion in online access to lifelong learning for working people who are otherwise denied the education they need. There are now eight million people (mainly adults) studying for degrees online and tens of millions of people taking shorter online skills courses. Opening access to lifelong learning to everyone remains education’s biggest unmet need and opportunity. Education technologies can be ‘designed in’ to the entire learning experience from the beginning, rather than retrofitted by overworked teachers. Widening access to lifelong learning could deliver a greater transformation to the economy and society than we have seen in 100 years.
Learning tools and platforms are one thing, but what do people need to learn in a world changed by AI? Much has been written about the potential for technology and especially AI to change what people need to learn. A popular narrative is that skills will be more important than knowledge; that knowledge can be so easily searched through the internet or created with AI, there is no need for it to be learned.
Skills do matter, but these statements are wrong. We should not choose between skills and knowledge. Skills are a representation of knowledge. With no knowledge or expertise, there is no skill. More than that, in a world in which AI will have an unimaginable impact on society, we should remember that knowledge provides the very basis of our ability to think and that human memory is the residue of thought.
Only a deeper understanding of learning and the real problems we need to solve will unleash the huge potential for technology to unlock wider access, a better learning experience and higher outcomes. To simultaneously hold the benefits and the risks of AI in a firm embrace, we will need courage, imagination and clarity about the problems to be solved before we get swept up in the hype and fluff. The opportunity is too big to put at risk.
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10 (and counting…) Google goodies for your classroom
Key points:
Google enthusiasts, unite.
During an ISTELive 25 session, Dr. Wanda Terral, chief of technology for Tennessee’s Lakeland School System, took attendees through a growing list of Google tools, along with some non-Google resources, to boost classroom creativity, productivity, and collaboration.
Here are just 10 of the resources Terral covered–explore the full list for more ideas and resources to increase your Google knowledge.

AI in Education: Beyond the Hype Cycle
We just can’t get away from it. AI continues to take the oxygen out of every edtech conversation. Even the Trump administration, while actively destroying federal involvement in public education, jumped on the bandwagon this week.
Who better to puncture this overused acronym than edtech legend Gary Stager. In this conversation, he offers a pragmatic perspective on AI in education, cutting through both fear and hype. Gary argues that educators should view AI as simply another useful technology rather than something to either fear or blindly embrace. He criticizes the rush to create AI policies and curricula by administrators with limited understanding of the technology, suggesting instead that schools adopt minimal, flexible policies while encouraging hands-on experimentation. Have a listen:
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CoSN2025 Takeaways: Meet the Winners
Honors for edtech leaders across the country are always a highlight of one of edtech’s most influential events of the year. The innovations shared and insights delivered are what drive the best strategies for districts in the months and years to come. Below are some details:
The CoSN Volunteer of the Year Award recognizes the achievements of one CoSN member who has provided exemplary support to the organization over the past year. Mike Daugherty of Chagrin Falls Exempted Village School District (OH) is this year’s winner. Mike has been a tireless volunteer and an invaluable leader in Ohio’s educational technology community. During the pandemic, he served as Chair of the Ohio CoSN chapter and extended his term an extra year to support the group during a critical time. One of his most impactful contributions has been the creation and leadership of a highly successful CETL study group. What began under his leadership during his time as Chair has grown into an annual fall cohort that meets weekly through the end of the year, guiding participants through the CETL framework. Thanks to Mike’s dedication, Ohio now has around 20 new CETLs each year — more than any other state.
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What the End of DoED Means for the EdTech Industry
The Fed’s influence over school districts had implications beyond just funding and data. Eliminating The Office of Education Technology (OET) will create significant gaps in educational technology research, validation, and equity assurance. Kris Astle, Education Strategist for SMART Technologies, discusses how industry self-governance, third-party organizations, and increased vendor responsibility might fill these gaps, while emphasizing the importance of research-backed design and implementation to ensure effective technology deployment in classrooms nationwide. Have a listen:
Key Takeaways
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