Tag: digital learning

  • Digital learning in a new age

    Digital learning in a new age

    Key points:

    Digital learning–in the form of online, hybrid, and blended schools and courses–is growing steadily in U.S. schools. These learning options can transform education because they allow for learning, teaching, and student engagement outside the confines of traditional physical schools.

    Students no longer have to show up at a school building every morning, and millions of students and families are demonstrating their preference for more flexible learning options by choosing their district’s online schools, charter schools, and private schools.

    Digital learning meets the needs of today’s students, who are seeking flexibility in their scheduling. Many high school students want to pursue sports, arts, and career interests in the form os jobs, internships, and other program. Others simply crave the control an innovative school gives them over the time, place, and pace at which they learn. Digital learning also meets the needs of teachers, who, just like knowledge workers around the world, are interested in employment that allows them to choose their schedules.

    Online and hybrid learning is becoming easier to implement as technology grows and improves. Unlike just a few years ago, when teachers were concerned about using multiple technology tools, much-improved integration and interoperability between platforms is making adoption of multiple tools far easier.

    While relatively few students and families prefer their education to be 100 percent online, many students are selecting hybrid options that combine online and face-to-face interactions. Much like young knowledge workers who are increasingly blending home offices with corporate headquarters, digital learning is showing up in unexpected places as well. Let’s take a closer look at two examples: career and technical education (CTE) and physical education (PE).

    CTE is often perceived as being “hands on” in ways that casual observers might expect would not align well with digital learning–but the truth is exactly the opposite.

    Digital learning is broadening the world of CTE for students. Online and hybrid schools provide CTE programs by offering a combination of online career courses and by partnering with businesses, state and regional training centers, and other
    organizations to combine online learning with on-the-ground, real-world jobs, internships, and learning opportunities.

    Hybrid schools and programs, including those run by mainstream districts, provide academic scheduling flexibility to students who seek to prioritize their time in jobs, internships, or career training. No longer do these students have to fit in their career interests after regular school hours or on weekends–when many companies and high-value jobs are not open or available.

    For example, a student interested in a veterinary career can work at a vet’s office during the regular week and school hours, completing some of their online coursework after normal work hours.

    Virtual Arkansas, a state-supported course provider supporting districts across Arkansas, has made digital CTE a central element of its offerings.

    “CTE is a key part of our value to students and schools across Arkansas. Students, teachers, counselors, and the business community, all appreciate that we are providing flexible options for students to gain real-world expertise and experience via our online and hybrid programs,” said John Ashworth, the programs’ executive director.

    Perhaps even more surprising than CTE shifting to digital is the idea that next generation physical education is based on online tools, adept teachers, and student voice and choice.

    Today’s students are accustomed to going into a coffee shop and ordering their drink with a dozen customized features. And yet, in traditional PE classes, we expect students to all want to learn the same sport, activity, or exercise, at the same time and pace. That’s how too many traditional gym classes operate–based on the factory model of education in which all students do the same thing at the same time.

    There’s a better way, which is being embraced by online schools, hybrid schools, and traditional districts. Online and hybrid PE classes shift exercise, activity, and wellness to match student interests and timing. A student chooses from hundreds of detailed instructional videos in dozens of categories, from aquatics to basketball to yoga, trains using the videos combined with instruction provided by a teacher, and tracks her progress.

    This doesn’t sound like a traditional gym class; instead, it mimics the ways that young adults are active in gyms, yoga studios, and sports leagues all around the country. Consider fitness clubs from the local YMCA to the most high-end club–they are all offering a wide variety of classes, on varied schedules to fit busy lifestyles, and at different levels of expertise. No school can match this, of course, by the traditional approach to gym class. But Joe Titus, founder and CEO of Hiveclass, which offers online physical education courses, points out that student agency to
    choose from a wide variety of PE options is possible–when schools are ready to make the leap.

    Online schools and district programs are already doing so, with fantastic outcomes as students lean into their choices and options. As futurist William Gibson said decades ago, “the future is here, it’s just not evenly distributed.”

    Online and hybrid CTE, physical education, and other options prove the point. The next step is to make these options widely available to all the students who are seeking a better alternative.

    Latest posts by eSchool Media Contributors (see all)

    Source link

  • Digital learning is different

    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.

    Latest posts by eSchool Media Contributors (see all)

    Source link

  • 8 under-the-radar digital learning resources

    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.

    1. CurrikiStudio

    Subject areas: All subjects
    Best for: Interactive learning content creation

    CurrikiStudio 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 skills

    InqITS 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 discussions

    Parlay 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.

    4. Geoguessr EDU

    Subject areas: Geography, History, Global Studies
    Best for: Geospatial learning and global awareness

    Geoguessr 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.

    5. Mosa Mack Science

    Subject areas: Science
    Best for: Middle school science with an inquiry-based approach

    Mosa 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 events

    Listenwise 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.

    7. Mind Over Media

    Subject areas: Media Literacy, Social Studies
    Best for: Analyzing propaganda and media messages

    Created 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 learning

    Brilliant.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.

    Laura Ascione
    Latest posts by Laura Ascione (see all)

    Source link

  • How Gimkit engages my students

    How Gimkit engages my students

    Key points:

    During the height of the COVID-19 outbreak, teachers needed to become resourceful in how they delivered content to students. During this time, students experienced significant change and evolved into a more technologically-dependent group.

    This sparked a period when online learning and digital resources gained substantial popularity, and one tool that helps students learn–while also feeling like a game instead of a lesson–is Gimkit.

    I am an 8th-grade science teacher in a fairly large district, and I recognize the importance of these engaging and interactive resources to help students build knowledge and continue learning.

    What is Gimkit?

    To begin with, what is Gimkit? According to a tutorial, “Gimkit is an excellent game-based learning platform that combines fun and education, making it a highly engaging tool for both teachers and students. It works like a mashup of Kahoot and flash card platforms, but with several unique features that set it apart.

    “Unlike other platforms, Gimkit allows students to earn virtual currency for every correct answer, which they can use to purchase power-ups, adding a competitive edge that keeps students motivated.”

    Gimkit offers so much more than just a game-based learning experience for students–it can be used as an introduction to a lesson, as assigned homework, or as a tool for reviewing.

    Building a Gimkit

    From the teacher’s side of Gimkit, the platform makes it extremely easy to build lessons for the students to use. When you go to create a lesson, you are given many different options to help with the construction.

    Jamie Keet explains: “After establishing your basic Kit information, you will then move onto the fun part–adding your questions! You will be given the option of adding a question, creating your Kit with Flashcards, continuing with KitCollab, adding from Gimkit’s Question Bank, or importing from Spreadsheet.”

    Adding your questions is a great way to make sure your students are getting the exact information they have been provided in class, but some of the other options can help with a teacher’s time, which always seems to be scarce.

    The option to add questions from the question bank allows teachers to view other created kits similar to their topic. With a few simple clicks, a teacher can add questions that meet the needs of their lesson.

    Gimkit as data collection

    Gimkit isn’t just a tool for students to gain knowledge and play games; it is also an excellent way for teachers to collect data on their students. As Amelia Bree observes:

    “Gimkit reports explained show you both big pictures and small details. The look might change sometimes. But you will usually see:

    • Overall Class Performance: This shows the average right answers. It tells you the total questions answered. It also shows how long the game took. It’s a good first look at how everyone understood.
    • Individual Student Results: Click on each student’s name here. You see their personal game path. Their accuracy. Which questions did they get right or wrong? Sometimes, even how fast they answered.
    • Question Breakdown: This part is very powerful. It shows how everyone did on each question you asked. You see how many got it right. How many missed it? Sometimes, it shows common wrong answers for multiple-choice questions.”

    Being able to see this data can help ensure that your students are not just completing the required steps to finish the task, but are also working towards mastering the materials within your class.

    When examining the data, if you identify trends related to specific questions or concepts that students are struggling with, you have the opportunity to revisit and reteach these areas.

    Conclusion

    As you can see, Gimkit isn’t just a tool for students to play games and have fun in class; it is also an opportunity for students to gain knowledge in your lessons while potentially having some fun in the process. Teachers can make creating content for their classes much easier by utilizing some of the built-in features Gimkit provides.

    They can collect the meaningful data needed to ensure students are making progress in the areas where they want them to.

    Works Cited

    Breisacher, J. (2024, October 7). How Teachers Can Use Gimkit in the Classroom (a tutorial). Student-Centered World. https://www.studentcenteredworld.com/gimkit/

    Keet, J. (2021, July 9). How to Use Gimkit- Step By Step Guide. Teachers.Tech.
    https://teachers.tech/how-to-use-gimkit/

    Bree, E. (2025, June 6). Unlock Data-Driven Teaching: Using Gimkit for Meaningful
    Assessment Insights. GIMKIT JOIN.
    https://gimkitjoin.net/gimkit-for-meaningful-assessment-insights/

    Latest posts by eSchool Media Contributors (see all)

    Source link

  • Why agentic AI matters now more than ever

    Why agentic AI matters now more than ever

    Key points:

    For years now, the promise of AI in education has centered around efficiency–grading faster, recommending better content, or predicting where a student might struggle.

    But at a moment when learners face disconnection, systems are strained, and expectations for personalization are growing, task automation feels…insufficient.

    What if we started thinking less about what AI can do and more about how it can relate?

    That’s where agentic AI comes in. These systems don’t just answer questions. They recognize emotion, learn from context, and respond in ways that feel more thoughtful than transactional. Less machine, more mentor.

    So, what’s the problem with what we have now?

    It’s not that existing AI tools are bad. They’re just incomplete.

    Here’s where traditional AI systems tend to fall short:

    • NLP fine-tuning
       Improves the form of communication but doesn’t understand intent or depth.
    • Feedback loops
       Built to correct errors, not guide growth.
    • Static knowledge bases
       Easy to search but often outdated or contextually off.
    • Ethics and accessibility policies
       Written down but rarely embedded in daily workflows.
    • Multilingual expansion
       Translates words, not nuance or meaning across cultures.

    These systems might help learners stay afloat. They don’t help them go deeper.

    What would a more intelligent system look like?

    It wouldn’t just deliver facts or correct mistakes. A truly intelligent learning system would:

    • Understand when a student is confused or disengaged
    • Ask guiding questions instead of giving quick answers
    • Retrieve current, relevant knowledge instead of relying on a static script
    • Honor a learner’s pace, background, and context
    • Operate with ethical boundaries and accessibility in mind–not as an add-on, but as a foundation

    In short, it would feel less like a tool and more like a companion. That may sound idealistic, but maybe idealism is what we need.

    The tools that might get us there

    There’s no shortage of frameworks being built right now–some for developers, others for educators and designers. They’re not perfect. But they’re good places to start.

    Framework Type Use
    LangChain Code Modular agent workflows, RAG pipelines
    Auto-GPT Code Task execution with memory and recursion
    CrewAI Code Multi-agent orchestration
    Spade Code Agent messaging and task scheduling
    Zapier + OpenAI No-code Automated workflows with language models
    Flowise AI No-code Visual builder for agent chains
    Power Automate AI Low-code AI in business process automation
    Bubble + OpenAI No-code Build custom web apps with LLMs

    These tools are modular, experimental, and still evolving. But they open a door to building systems that learn and adjust–without needing a PhD in AI to use them.

    A better system starts with a better architecture

    Here’s one way to think about an intelligent system’s structure:

    Learning experience layer

    • Where students interact, ask questions, get feedback
    • Ideally supports multilingual input, emotional cues, and accessible design

    Agentic AI core

    • The “thinking” layer that plans, remembers, retrieves, and reasons
    • Coordinates multiple agents (e.g., retrieval, planning, feedback, sentiment)

    Enterprise systems layer

    • Connects with existing infrastructure: SIS, LMS, content repositories, analytics systems

    This isn’t futuristic. It’s already possible to prototype parts of this model with today’s tools, especially in contained or pilot environments.

    So, what would it actually do for people?

    For students:

    • Offer guidance in moments of uncertainty
    • Help pace learning, not just accelerate it
    • Present relevant content, not just more content

    For teachers:

    • Offer insight into where learners are emotionally and cognitively
    • Surface patterns or blind spots without extra grading load

    For administrators:

    • Enable guardrails around AI behavior
    • Support personalization at scale without losing oversight

    None of this replaces people. It just gives them better support systems.

    Final thoughts: Less control panel, more compass

    There’s something timely about rethinking what we mean by intelligence in our learning systems.

    It’s not just about logic or retrieval speed. It’s about how systems make learners feel–and whether those systems help learners grow, question, and persist.

    Agentic AI is one way to design with those goals in mind. It’s not the only way. But it’s a start.

    And right now, a thoughtful start might be exactly what we need.

    Latest posts by eSchool Media Contributors (see all)

    Source link

  • Helping students evaluate AI-generated content

    Helping students evaluate AI-generated content

    Key points:

    Finding accurate information has long been a cornerstone skill of librarianship and classroom research instruction. When cleaning up some materials on a backup drive, I came across an article I wrote for the September/October 1997 issue of Book Report, a journal directed to secondary school librarians. A generation ago, “asking the librarian” was a typical and often necessary part of a student’s research process. The digital tide has swept in new tools, habits, and expectations. Today’s students rarely line up at the reference desk. Instead, they consult their phones, generative AI bots, and smart search engines that promise answers in seconds. However, educators still need to teach students the ability to be critical consumers of information, whether produced by humans or generated by AI tools.

    Teachers haven’t stopped assigning projects on wolves, genetic engineering, drug abuse, or the Harlem Renaissance, but the way students approach those assignments has changed dramatically. They no longer just “surf the web.” Now, they engage with systems that summarize, synthesize, and even generate research responses in real time.

    In 1997, a keyword search might yield a quirky mix of werewolves, punk bands, and obscure town names alongside academic content. Today, a student may receive a paragraph-long summary, complete with citations, created by a generative AI tool trained on billions of documents. To an eighth grader, if the answer looks polished and is labeled “AI-generated,” it must be true. Students must be taught how AI can hallucinate or simply be wrong at times.

    This presents new challenges, and opportunities, for K-12 educators and librarians in helping students evaluate the validity, purpose, and ethics of the information they encounter. The stakes are higher. The tools are smarter. The educator’s role is more important than ever.

    Teaching the new core four

    To help students become critical consumers of information, educators must still emphasize four essential evaluative criteria, but these must now be framed in the context of AI-generated content and advanced search systems.

    1. The purpose of the information (and the algorithm behind it)

    Students must learn to question not just why a source was created, but why it was shown to them. Is the site, snippet, or AI summary trying to inform, sell, persuade, or entertain? Was it prioritized by an algorithm tuned for clicks or accuracy?

    A modern extension of this conversation includes:

    • Was the response written or summarized by a generative AI tool?
    • Was the site boosted due to paid promotion or engagement metrics?
    • Does the tool used (e.g., ChatGPT, Claude, Perplexity, or Google’s Gemini) cite sources, and can those be verified?

    Understanding both the purpose of the content and the function of the tool retrieving it is now a dual responsibility.

    2. The credibility of the author (and the credibility of the model)

    Students still need to ask: Who created this content? Are they an expert? Do they cite reliable sources? They must also ask:

    • Is this original content or AI-generated text?
    • If it’s from an AI, what sources was it trained on?
    • What biases may be embedded in the model itself?

    Today’s research often begins with a chatbot that cannot cite its sources or verify the truth of its outputs. That makes teaching students to trace information to original sources even more essential.

    3. The currency of the information (and its training data)

    Students still need to check when something was written or last updated. However, in the AI era, students must understand the cutoff dates of training datasets and whether search tools are connected to real-time information. For example:

    • ChatGPT’s free version (as of early 2025) may only contain information up to mid-2023.
    • A deep search tool might include academic preprints from 2024, but not peer-reviewed journal articles published yesterday.
    • Most tools do not include digitized historical data that is still in manuscript form. It is available in a digital format, but potentially not yet fully useful data.

    This time gap matters, especially for fast-changing topics like public health, technology, or current events.

    4. The wording and framing of results

    The title of a website or academic article still matters, but now we must attend to the framing of AI summaries and search result snippets. Are search terms being refined, biased, or manipulated by algorithms to match popular phrasing? Is an AI paraphrasing a source in a way that distorts its meaning? Students must be taught to:

    • Compare summaries to full texts
    • Use advanced search features to control for relevance
    • Recognize tone, bias, and framing in both AI-generated and human-authored materials

    Beyond the internet: Print, databases, and librarians still matter

    It is more tempting than ever to rely solely on the internet, or now, on an AI chatbot, for answers. Just as in 1997, the best sources are not always the fastest or easiest to use.

    Finding the capital of India on ChatGPT may feel efficient, but cross-checking it in an almanac or reliable encyclopedia reinforces source triangulation. Similarly, viewing a photo of the first atomic bomb on a curated database like the National Archives provides more reliable context than pulling it from a random search result. With deepfake photographs proliferating the internet, using a reputable image data base is essential, and students must be taught how and where to find such resources.

    Additionally, teachers can encourage students to seek balance by using:

    • Print sources
    • Subscription-based academic databases
    • Digital repositories curated by librarians
    • Expert-verified AI research assistants like Elicit or Consensus

    One effective strategy is the continued use of research pathfinders that list sources across multiple formats: books, journals, curated websites, and trusted AI tools. Encouraging assignments that require diverse sources and source types helps to build research resilience.

    Internet-only assignments: Still a trap

    Then as now, it’s unwise to require students to use only specific sources, or only generative AI, for research. A well-rounded approach promotes information gathering from all potentially useful and reliable sources, as well as information fluency.

    Students must be taught to move beyond the first AI response or web result, so they build the essential skills in:

    • Deep reading
    • Source evaluation
    • Contextual comparison
    • Critical synthesis

    Teachers should avoid giving assignments that limit students to a single source type, especially AI. Instead, they should prompt students to explain why they selected a particular source, how they verified its claims, and what alternative viewpoints they encountered.

    Ethical AI use and academic integrity

    Generative AI tools introduce powerful possibilities including significant reductions, as well as a new frontier of plagiarism and uncritical thinking. If a student submits a summary produced by ChatGPT without review or citation, have they truly learned anything? Do they even understand the content?

    To combat this, schools must:

    • Update academic integrity policies to address the use of generative AI including clear direction to students as to when and when not to use such tools.
    • Teach citation standards for AI-generated content
    • Encourage original analysis and synthesis, not just copying and pasting answers

    A responsible prompt might be: “Use a generative AI tool to locate sources, but summarize their arguments in your own words, and cite them directly.”

    In closing: The librarian’s role is more critical than ever

    Today’s information landscape is more complex and powerful than ever, but more prone to automation errors, biases, and superficiality. Students need more than access; they need guidance. That is where the school librarian, media specialist, and digitally literate teacher must collaborate to ensure students are fully prepared for our data-rich world.

    While the tools have evolved, from card catalogs to Google searches to AI copilots, the fundamental need remains to teach students to ask good questions, evaluate what they find, and think deeply about what they believe. Some things haven’t changed–just like in 1997, the best advice to conclude a lesson on research remains, “And if you need help, ask a librarian.”

    Steven M. Baule, Ed.D., Ph.D.
    Latest posts by Steven M. Baule, Ed.D., Ph.D. (see all)

    Source link

  • 5 AI tools for classroom creativity

    5 AI tools for classroom creativity

    Key points:

    • AI tools enhance K-12 creativity and innovation through interactive projects
    • A new era for teachers as AI disrupts instruction
    • Report details uneven AI use among teachers, principals
    • For more news on AI and creativity, visit eSN’s Digital Learning hub

    As AI becomes more commonplace in classrooms, it gives students access to creative tools that enhance learning, exploration, and innovation. K-12 students can use AI tools in various ways to boost creativity through art, storytelling, music, coding, and more.

    More News from eSchool News

    HVAC projects to improve indoor air quality. Tutoring programs for struggling students. Tuition support for young people who want to become teachers in their home communities.

    Almost 3 in 5 K-12 educators (55 percent) have positive perceptions about GenAI, despite concerns and perceived risks in its adoption, according to updated data from Cengage Group’s “AI in Education” research series.

    Our school has built up its course offerings without having to add headcount. Along the way, we’ve also gained a reputation for having a wide selection of general and advanced courses for our growing student body.

    Ensuring that girls feel supported and empowered in STEM from an early age can lead to more balanced workplaces, economic growth, and groundbreaking discoveries.

    In my work with middle school students, I’ve seen how critical that period of development is to students’ future success. One area of focus in a middle schooler’s development is vocabulary acquisition.

    For students, the mid-year stretch is a chance to assess their learning, refine their decision-making skills, and build momentum for the opportunities ahead.

    Middle school marks the transition from late childhood to early adolescence. Developmental psychologist Erik Erikson describes the transition as a shift from the Industry vs. Inferiority stage into the Identity vs. Role Confusion stage.

    Art has a unique power in the ESL classroom–a magic that bridges cultures, ignites imagination, and breathes life into language. For English Language Learners (ELLs), it’s more than an expressive outlet.

    In the year 2025, no one should have to be convinced that protecting data privacy matters. For education institutions, it’s really that simple of a priority–and that complicated.

    Teachers are superheroes. Every day, they rise to the challenge, pouring their hearts into shaping the future. They stay late to grade papers and show up early to tutor struggling students.

    Want to share a great resource? Let us know at [email protected].

    Source link

  • Report details uneven AI use among teachers, principals

    Report details uneven AI use among teachers, principals

    Key points:

    English/language arts and science teachers were almost twice as likely to say they use AI tools compared to math teachers or elementary teachers of all subjects, according to a February 2025 survey from the RAND Corporation that delves into uneven AI adoption in schools.

    “As AI tools and products for educational purposes become more prevalent, studies should track their use among educators. Researchers could identify the particular needs AI is addressing in schools and–potentially–guide the development of AI products that better meet those needs. In addition, data on educator use of AI could help policymakers and practitioners consider disparities in that use and implications for equitable, high-quality instruction across the United States,” note authors Julia H. KaufmanAshley WooJoshua EaganSabrina Lee, and Emma B. Kassan.

    One-quarter of ELA, math, and science teachers used AI tools for instructional planning or teaching in the 2023–2024 school year. Nearly 60 percent of surveyed principals also reported using AI tools for their work in 2023-2024.

    Among the one-quarter of teachers nationally who reported using AI tools, 64 percent said that they used them for instructional planning only, whether for their ELA, math, or science instruction; only 11 percent said that they introduced them to students but did not do instructional planning with them; and 25 percent said that they did both.

    Although one-quarter of teachers overall reported using AI tools, the report’s authors observed differences in AI use by subject taught and some school characteristics. For instance, close to 40 percent of ELA or science teachers said they use AI, compared to 20 percent of general elementary education or math teachers. Teachers and principals in higher-poverty schools were less likely to report using AI tools relative to those in lower-poverty schools.

    Eighteen percent of principals reported that their schools or districts provided guidance on the use of AI by staff, teachers, or students. Yet, principals in the highest-poverty schools were about half as likely as principals in the lowest-poverty schools to report that guidance was provided (13 percent and 25 percent, respectively).

    Principals cited a lack of professional development for using AI tools or products (72 percent), concerns about data privacy (70 percent) and uncertainty about how AI can be used for their jobs (70 percent) as factors having a major or minor influence on their AI use.

    The report also offers recommendations for education stakeholders:

    1. All districts and schools should craft intentional strategies to support teachers’ AI use in ways that will most improve the quality of instruction and student learning.

    2. AI developers and decision-makers should consider what useful AI applications have the greatest potential to improve teaching and learning and how to make those applications available in high-poverty contexts.

    3. Researchers should work hand-in-hand with AI developers to study use cases and develop a body of evidence on effective AI applications for school leadership, teaching, and learning.

    Laura Ascione
    Latest posts by Laura Ascione (see all)

    Source link

  • 6 recommendations for AI in classrooms

    6 recommendations for AI in classrooms

    Key points:

    As states move forward with efforts to adopt artificial intelligence, the nonprofit Southern Regional Education Board’s Commission on AI in Education has released its first six recommendations for schools and postsecondary institutions.

    Because of its broad membership, regional breadth, early creation and size, SREB President Stephen L. Pruitt said the commission is poised to produce critical recommendations that will inform not only Southern education decision makers but those throughout the nation.

    “AI is fundamentally changing the classroom and workplace,” Pruitt said. “With that in mind, this commission is working to ensure they make recommendations that are strategic, practical and thoughtful.”

    The commission is set to meet for another year and plans to release a second set of recommendations soon. Here are the first six:

    Policy recommendation #1: Establish state AI networks
    States should establish statewide artificial intelligence networks so people, groups and agencies can connect, communicate, collaborate and coordinate AI efforts across each state. These statewide networks could eventually form a regional group of statewide AI network representatives who could gather regularly to share challenges and successes.

    Policy recommendation #2: Develop targeted AI guidance
    States should develop and maintain targeted guidance for distinct groups using, integrating or supporting the use of AI in education. States should include, for example, elementary students, middle school students, high school students, postsecondary students, teachers, administrators, postsecondary faculty and administrators and parents.

    Policy recommendation #3: Provide high-quality professional development
    State K-12 and postsecondary agencies should provide leadership by working with local districts and institutions to develop plans to provide and incentivize high-quality professional development for AI. The plans should aim to enhance student learning.

    Policy recommendation #4: Integrate into standards & curricula
    States should integrate into statewide K-12 standards and curricula the AI knowledge and skills students need to prepare them for success in the workforce.

    Policy recommendation #5: Assess local capacity and needs
    States should develop and conduct AI needs assessments across their states to determine the capacity of local districts, schools and postsecondary institutions to integrate AI successfully. These should be designed to help states determine which institution, district or school needs state support, what type of support and at what level. 

    Policy recommendation #6: Develop resource allocation plans
    States should develop detailed resource allocation plans for AI implementation in schools, school districts and institutions of postsecondary education to ensure that the implementation of AI is successful and sustainable.
    These plans should inform state fiscal notes related to education and AI.

    The 60-plus member commission was established in February of 2024. Members include policymakers and education and business leaders throughout the 16-state SREB region.

    For more information about the commission please see the following links:

    Latest posts by eSchool Media Contributors (see all)

    Source link

  • AI in K-12 instruction: Insights from instructional coaches

    AI in K-12 instruction: Insights from instructional coaches

    Key points:

    As artificial intelligence (AI) becomes an integral part of modern education, instructional coaches play a pivotal role in guiding teachers on its implementation, bridging the gap between emerging educational technologies and effective classroom practices.

    As trusted mentors and professional development leaders, they guide teachers in implementing AI tools thoughtfully, ensuring that technology enhances student learning while aligning with pedagogical best practices. This article briefly synthesizes responses from instructional coaches regarding their experiences, challenges, and recommendations for integrating AI into K-12 education.  

    Ten instructional coaches, all with advanced degrees, had the following insights into the instructional use of AI in K12 education. They all have more than 10 years of experience in education and work across all three types of school environments: urban, suburban, and rural.

    The coaches reported that AI is used for various instructional purposes. The most-cited applications included providing feedback on student work, creating professional development materials, supporting writing and content generation, creating course content, and enhancing accessibility for students with special needs. Many coaches note that AI tools assisted in grading assignments, offering real-time feedback, and supporting differentiated instruction. AI-powered feedback helps teachers provide more personalized responses without increasing their workload.  Regarding professional development, AI is being used to generate training content for teachers, ensuring they stay updated on educational trends. Coaches are leveraging AI to curate research, synthesize best practices, and develop instructional strategies tailored to their schools.  They encourage teachers and students to utilize AI for brainstorming, outlining essays, and improving writing mechanics.  

    Perceived impact of AI on instruction 

    The vast majority of instructional coaches expressed positive expectations regarding AI’s potential to reduce educator workload, create personalized learning experiences, and improve access for students with disabilities. However, perspectives on AI’s overall impact on education varied. While most believe AI has positively influenced instruction, a few remain cautious about its potential risks.  One coach suggested that allowing students to utilize the tools in a structured setting and teaching them to use AI as a tool is one of the biggest potentials for generative AI in education. About three-fourths of coaches feel that AI will reduce teacher workload by automating repetitive tasks such as grading and data analysis.

    Concerns about AI in education 

    While AI presents numerous benefits, instructional coaches also raised concerns about its potential drawbacks, including ethical dilemmas, student engagement challenges, and equity issues. Despite its advantages, instructional coaches identified several challenges and ethical concerns. They worry some students will use AI tools without critically engaging with the material, leading to passive learning and an overreliance on generative tools. Some had concerns that AI-generated content could reduce the need for creativity and independent thought. Coaches worry that AI makes it easier for students to plagiarize or rely on generated answers without truly understanding concepts which can negatively impact academic integrity. Coaches cite technical challenges as well. Educators face issues with AI tool reliability, compatibility with existing learning management systems (LMS), and steep learning curves. The coaches mentioned that some schools lack the infrastructure to support meaningful widespread AI integration. 

    Several ethical and privacy concerns were mentioned. AI tools collect and store student data, raising concerns about data privacy and security–particularly with younger students who may be less aware or concerned about revealing personally identifiable information (PII). They mention the need for clear guidelines on responsible AI use to prevent bias and misinformation.

    Coaches emphasize the importance of verifying AI-generated materials for accuracy. They suggest teachers be encouraged to cross-check AI-produced responses before using them in instruction. They recommend robust integrating discussions on digital literacy, AI biases, and the ethical implications of generative AI into classroom conversations. Schools need to train educators and students on responsible AI usage. Some schools restrict AI for creative writing, critical thinking exercises, and certain assessments to ensure students develop their own ideas–an idea that coaches recommend. Coaches suggest embedding AI literacy into existing courses, ensuring students understand how AI works, its limitations, and its ethical implications. 

    Equity concerns are a serious issue for instructional coaches. Schools should ensure all students have equal access to AI tools. AI should be leveraged to bridge learning gaps, not widen them. Making sure all students have access to the same suite of tools is essential to create a level playing field for all learners. Instructional coaches generally agree that AI is not just a passing trend, but an integral part of the future of education. There is a concern that generative AI tools will reduce the human interaction of the teaching and learning process. For instance, interpersonal relationships are not developed with AI-based tutoring systems in the same way they can be developed and encouraged with traditional tutoring processes.

    The integration of AI in K-12 education presents both opportunities and challenges. Instructional coaches largely recognize AI’s potential to enhance learning, improve efficiency, academic integrity, and maintain human-centered learning experiences. As AI continues to evolve, educators must be proactive in shaping how it is used, ensuring it serves as a tool for empowerment rather than dependency. Future efforts should focus on professional development for educators, AI literacy training for students, and policies ensuring equitable AI access across diverse school settings.

    Latest posts by eSchool Media Contributors (see all)

    Source link