Layering for Learning and Insert Learning

I created the phrase “layering for learning” some years ago to describe a collection of digital tools with a specific educational purpose. The phrase refers to online services that allow educators or learners to add instructional elements to existing web pages or videos without modifying the original content. Educators might want to do this as an alternative to textbook content to offer more current information or to have learners deal with the type of information that they encounter outside of the classroom environment. 

A layering tool works by retrieving content from a creator’s server and combining it with a second “layer” of additions from the layering service’s server in real-time. The combination is what the learner experiences. This approach transforms raw, passive information resources into active learning experiences while respecting the original creator’s copyright and revenue opportunities, as hits and ads are still recorded on the source server. This may sound unusual, but the mental image of a layer of additions on top of the base of existing content is one way to understand how this works. The simplest example is probably highlighting. Instead of making a permanent change to someone else’s content by marking up their work, the layered appearance of a highlighted web page is available only when the learner’s experience combines content from the content creator’s server with the layer from the server providing access to the layering tools. Different approaches exist; I focus mainly on those that individualize the experienced product to include the additions of a teacher and of an individual student. 

Layering for Generative Experiences

The fundamental purpose of layering is to implement generative activities, which are external tasks intended to encourage productive internal cognitive behaviors. While learning ultimately occurs in the student’s mind, educators can use layering to indirectly manipulate and increase the likelihood of specific mental actions. Questions make a good example of a familiar generative task. A question is added to a learning situation to encourage different types of thinking (cognitive activities) on the part of the learner. 

From your personal experience, give me an example of xx.

How would you define xxx?

Layering tools allow these tasks to be embedded directly within the flow of content, rather than being isolated as separate assignments. Textbooks typically offer questions at the end of chapters, or sometimes at the beginning to direct attention. Researchers at one point explored questions embedded within text – adjunct questions. The idea was to immediately check on understanding while the student could easily reference the relevant content. There was some value in this approach, but my guess is that extending the length and hence cost of textbooks was rejected.

There are several categories of generative tasks that can be implemented through layering:

Knowledge Activation: Before or during exposure to new material, layering can be used to insert prompts that ask students what they already know about a topic. This “pre-questioning” effect helps activate relevant existing knowledge, which serves as a base for interpreting and anchoring new information.

Elaboration and Personalization: Educators can layer prompts that require students to go beyond the provided information by generating personal examples or connecting concepts to their own life experiences. This encourages knowledge building – where the learner adds to core ideas from personal knowledge – rather than mere knowledge telling, which involves a simple restatement of what was read or heard.

Summarization and Paraphrasing: Layering allows for the insertion of tasks where students must pause and rephrase the most important information in their own words. This process requires the student to select essential information and organize it into a coherent structure, which is a significantly more powerful cognitive act than verbatim transcription or passive highlighting. Of course highlighting also has some unique value in preparing for review.

Comprehension Monitoring: Layered elements can serve as checks for understanding by forcing learners to evaluate their own “calibration” – the accuracy of their self-perceived mastery. Proposing questions that students may not be able to answer encourages them to reflect on gaps in their understanding and take remedial action, such as re-watching or re-reading a specific segment.

Retrieval Practice: Embedding multiple-choice or short-answer questions directly into a video or article facilitates the “testing effect”. Actively searching memory to answer a question strengthens future retrievability and understanding more effectively than simply studying external notes. This use works most effectively when repeated after delays from the original encounter or earlier study activity.

Interactive and Social Processing: Some layering services allow for social annotation, where thinking is made visible to a community. Students can share interpretations, respond to peer comments, or engage in threaded discussions directly on the digital document. This interactive layer provides a second input beyond the original source, prompting learners to reconsider and potentially modify their understanding in light of others’ insights. This experience might be exemplified through opportunities to discuss or debate a point. 

Some of these activities are intended to impact learner as part of the initial exposure to instructional content and some during later review activities. In practice, layering tools are specialized for use with video content or as an addition to what are commonly called web pages. Adding generative elements to PDFs or text files is also possible, but this post deals specifically with repeatable use of online experiences most likely while using a browser.

Insert Learning – A Layering Environment for Web Pages

Insert Learning is a service for layering web pages I like to describe as this service offers the complete package of instructional content design, personalized lesson assignment, and the evaluation of student effort and if desired feedback and grading. 

My experience with this tool involved its use in several instructional design courses in which the service was used with these students expecting the students would understand how the same tasks could be applied in situations in which they might apply similar activities in their own work. 

This is a subscription service although you can explore without subscribing. The cost is $100 per year or $20 per month with unlimited students for this price. I used to pay by the month because the course in which I used it was a semester long. 

Think of this service as two parts. There is the administrative and learning management component, accessed via a website, and the lessons, accessed via a web browser extension. When a student opens a lesson or the instructor works to add layered components to a web page, a menu bar will appear on the side of the browser window (see below). This menu bar provides access to the available tools. A student will have a shorter list with highlights and annotation options. The instructor can highlight, annotate (actually add various text elements including links), insert questions, and add a discussion window that retains the comments added from other students. 

The following image provides a better idea of what a layered page looks like when additions (an essay question) and a text box containing a link look like. 

Insert Learning collects student responses and allows then allows the instructor to respond with feedback, award a score if desired, or simply check to see if students have completed a task. The following screen capture is what this would look like when reviewing what students in one of my classes had generated in response to a specific questions. You can see at the top of the image how I would determine which class, lesson, and item, I wanted to review. 

The following image shows the way I would assign individual lessons that I have accumulated. 

As I said, Insert Learning is a complete environment consisting of what I would describe as a learning management system, a method for lesson creation/design and presentation, and tools for feedback and evaluation. 

I created this post mostly to explain what I mean as layering for learning tools with brief exposure to one example. I have additional descriptions of other tools both for video and for web pages that offer similar, but sometimes less complete capabilities. For web pages, the most similar product I have explored is Scrible (see below). The tool bar (top) and highlighting and annotation capabilities are visible. The question and discussion capabilities are not available, but the LMS approach is similar.

Final Comment

I think of summer as a time K12 educators and tech people might explore tools and perhaps develop some content for the coming year. Perhaps this post will offer them some ideas they might try.

Loading

Posted in Uncategorized | Tagged | Comments Off on Layering for Learning and Insert Learning

What we have lost. Personal Computing is Seldom Personal

I have a solid understanding of digital technology because, while not a programmer, I have a long history of relying on the technology of the day. Even years before the personal computer, I wrote hundreds of pages of my dissertation on the cards they used to feed to mainframes. The tags needed to produce paragraph breaks, capital letters, and bold text were required along with the raw text. More complex still were the tags and character counts necessary to create the many tables required to display data. Early word processing programs on personal computers required similar additions and writing HTML code was just a further extension and not bewildering. 

I learned to program to create the software my research interests in computer reading games required. I learned to code in PHP and MySQL and to set up and operate an Apache server because these skills were necessary to implement my research interests in computer-aided study experiences for college students. 

Yes, I use AI and for no other reason than personal curiosity, I am now waiting until July to own an upgraded Mac mini to explore the options for personal control of LLMs on your own equipment. This is not necessary for what I have to say in the following content, but it is possible and consistent with the quest for understanding and technology independence. 

I say these things to explain that I learned the skills needed to do my work at a time when personal investment of time was required. Many other early personal computer users likely have very similar stories, which may cause younger users to roll their eyes listening to such accounts. However, as a result of such experiences, I am less awed by the capabilities of present-day hardware and software. These comments are meant to get me to the claim that there is some value in hands-on experience with the hardware you own and in a similar approach to personal control of your software and content. 

What brought these thoughts to mind was an interview I recently listened to on Leo Laporte’s Intelligent Machines podcast (access requires a subscription – the transcript may be available). The guest was Nirav Patel. Patel is the founder of Framework Computers, which offers repairable, upgradeable computers. Among the topics of discussion was a post Patel has written suggesting we may be witnessing the death of personal computing. What Patel suggests, which is explained in greater detail during the podcast rather than the blog post is that the personal computer is now little more than a terminal that you have but cannot repair or upgrade, connected through the use of subscription services to online activities, which even hold any content you generate and display. For most users, AI is a continuation of this external rather than personal computing. 

The Model Has Changed

What I have described as my personal experiences has changed into a very different model of computing – one in which our devices function less like autonomous personal computers and more like portals into corporate ecosystems and subscription services.

This shift has profound implications for ownership, creativity, education, privacy, and even democratic culture.

From Ownership to Access

The computer era was built around ownership. When you bought a desktop computer in the 1980s, 1990s, or early 2000s, it was yours and totally under your control. Software was often purchased once and installed locally. Files lived primarily on your hard drive. You could back them up, move them, or preserve them without asking permission.

Today, many of the most important functions of our digital lives occur elsewhere. Documents live in cloud storage. Music is streamed. Photos synchronize automatically to remote servers. Productivity tools are rented monthly. Artificial intelligence systems mostly run remotely in data centers. 

When you examine this situation carefully, the “computer” is no longer primarily the device on your desk. The real computer is the cloud infrastructure owned by large corporations. Your laptop, tablet, or phone is increasingly a terminal.

This transforms the relationship between people and their technology.

A subscription model shifts power away from users. Instead of owning tools outright, users lease access. Features can disappear. Prices can rise. Services can shut down. Accounts can be suspended. Even files may become inaccessible if authentication systems fail or subscriptions lapse.

The Decline of User Control

Modern platforms increasingly limit control.

Smartphones make the best example. Most users cannot freely install software outside approved app stores without workarounds. Repair is difficult or discouraged. Components are soldered or glued in place. Batteries are hard to replace. Devices become disposable appliances rather than maintainable tools. Laptops and desktops follow this same pattern. Hardware is thinner, more sealed, and less upgradeable. Software ecosystems are tightly integrated with online accounts and cloud synchronization. 

We are facing a paradox, our devices are more powerful than ever, yet we often have less meaningful control over them.

The Subscription Economy Changes Software

We used to purchase and own software. Applications are no longer stable tools that we control. They become ongoing services governed by licenses and terms of use. Features are continuously updated, removed, or repositioned. Interfaces shift without user consent. Cloud integration becomes mandatory rather than optional. Our tools are updated with new capabilities we may not need and the price is adjusted as if these changes were necessary. 

Artificial intelligence accelerates this transition because many AI systems require a massive investment in training and equipment. Users cannot fully possess these tools because the computational infrastructure remains centralized. If core intellectual tools are only available as subscription services, our control over digital work is gone.

We No Longer Fully Control Our Content

Perhaps the most important shift concerns ownership of personal content.

Historically, a writer using a local word processor had direct control over their files. Your pictures were archived images locally.  Now, our intellectual and social life exists inside platforms. Social media posts live on corporate servers. Videos depend on hosting platforms. Notes synchronize to cloud systems. Family photos are organized by proprietary services. 

Platforms operate beyond our control shaping visibility through algorithms. 

Until recently, many of us maintained personal websites, blogs, and independently controlled spaces online. Today, much online expression occurs inside centralized platforms optimized for engagement, advertising, and data collection.

Convenience Versus Independence

It is true that many users willingly accept these tradeoffs because modern ecosystems provide genuine benefits. Cloud synchronization prevents data loss. Streaming services reduce complexity.  Most seem to want technology that works reliably and simply. The tension, then, is not between good and bad technology. It is between convenience and independence.

Educational and Cultural Consequences

As might be anticipated from my initial comments, these changes also influence learning and creativity. The earlier personal computer culture encouraged experimentation. Users learned by modifying systems, building websites, installing software, and exploring open environments.

We talk as if we value digital literacy, but just as AI can replace the need to learn the skills to write effectively, relying exclusively on external systems and preset approaches to everything reduces understanding. Knowing how to operate apps is different from understanding how systems work. Students raised entirely within locked-down ecosystems may have fewer opportunities to develop deeper understanding.

Reclaiming the “Personal” in Personal Computing

But the growing concern expressed by thinkers like Nirav Patel raises an important question: What does it mean for computing to remain personal? While most users may not prioritize this concern, I hope enough individuals will commit to investing time in controlling their own hardware and exploring tools they can manipulate and alter. 

For those who might be interested, I have operated, or at least had a rental server on which my blog content has appeared, since 2002. It gives me some pleasure having this nearly 25-year record of my personal history available. This post appears on this server, but also on Medium which offers me a second audience for my content. I am hedging my bets. You don’t save time or money doing things yourself. My server rental and the cost of having my own domain names total about $250 a year. Medium is $50 a year and I get some of this returned because of the activity of my readers. At my personal small scale, there would be a cost advantage to giving up doing things myself. All things considered, for the time I invest, this is an inexpensive hobby. I hope others take a similar approach. 

Loading

Posted in Uncategorized | Tagged | Comments Off on What we have lost. Personal Computing is Seldom Personal

The Digital Paradox: A Multi-Dimensional Analysis of Screen Time and Mental Health

A recent analysis of the screen time and mental health issue (Gupta and colleagues) has labeled positions taken on the basis of the highly inconsistent findings as oversimplified, hiding more nuanced representations that can be destructive or helpful. It follows that simplistic positions that have resulted in the banning of access are poorly thought through and destructive for some individuals in some situations. While public discourse often frames technology as a primary driver of a modern “mental health crisis,” research notes suggest a far more complex reality. The evidence indicates that the impact of screen time is not a monolithic “good” or “bad,” but rather a nuanced interaction between digital dose, content type, and individual user disposition

After a careful review of the literature. Gupta and colleagues propose that the literature would be better understood by modeling its impact as medical researchers model the impact of a medicine, based on the interaction among dose, mediation properties, and patients. When adapted to studying screen time as the input, dose (time spent, pattern of use – passive or active, and dose regulation), content (social comparison, fear-inducing, restorative, or generative), and individual differences (preexisting vulnerabilities, personality characteristics, age, and critical thinking skills). So while meta-analyses of the studies of the impact of screen time on mental health have found a very weak relationship overall (e.g., Ferguson and others), specific situations and circumstances with certain individuals demonstrate both positive and greater negative impacts. 

Specific examples of the Gupta argument may help. There is no way to be complete here and I am selecting studies with which I am familiar, which may or may not be in the Gupta reference list. 

Dose – there appears to be a “Goldilocks effect” with social media. Abstinence and heavy use are associated with more negative mental health issues (Vally and D’Souza). Among the causes of the level of use, self-regulation (an individual-difference characteristic) would thus seem significant, as an educated individual can act to control their level of activity.

Active/Passive use patterns – this distinction refers to the difference between scrolling through feeds without interaction vs. direct interaction, content creation, and discussions. Some, but not all, studies have found that time spent on these two types of online activity is associated with differences in mental health (Verguyn and others). 

Pre-existing vulnerabilities – Individuals with depression or low self-esteem are more sensitive to negative social feedback.

Personality traits – Neuroticism (individuals prone to worry and negative affect) are prone to stress and lower self-esteem as a result of social media use, while extraverted individuals are likely to experience enhanced mental well-being. 

Age – adolescents are sensitive to social rewards and peer evaluation, making them more vulnerable to online social comparison, while older adults who use social media reduce loneliness, stay in touch with their families, and improve mental well-being. 

The Risk of Social Deprivation

While critics like Haidt (The Anxious Generation) point to social deprivation as a risk of heavy phone use, a ban could inadvertently cause a different kind of social isolation. For many Gen Z adolescents, social media is the primary “third space” where they interact with peers. A ban would effectively cut off adolescents from their primary social infrastructure, potentially exacerbating the very feelings of loneliness and exclusion that proponents of the ban hope to solve.

Rather than a total ban, the evidence suggests we should move toward a model of dose regulation and content moderation. This includes:

  1. Promoting Active Use: Encouraging adolescents to use social media for goal-oriented purposes, such as learning or maintaining close social ties, rather than passive consumption.
  2. Psychological Inoculation: Implementing strategies like psychological inoculation to improve resilience against misinformation and the negative effects of social comparison.
  3. Focusing on Vulnerable Groups: Identifying and supporting individuals with pre-existing vulnerabilities who are most at risk, rather than applying a one-size-fits-all restriction.
  4. Voluntary Control Mechanisms – mechanisms that limit time per day are available to cap activity (e.g., time limits on Instagram and Apple Screen Time controls).

Some aspects of the concern for students’ use of social media remind me of concern about cyberbullying, which now receives far less attention. In my work with a graduate student who specialized in this topic, I also wondered about educators’ expectations regarding this concern. While victims, perpetrators, and observers knew each other because of their common school environment, actual incidences of cyberbullying very, very rarely originated from a computer within the school. Those involved were online at home, at friends’ homes, or on their phones outside school. The schools were relevant because they provided the opportunity to address the problem. 

Aside from the issue of distraction, which I regard as an issue of classroom management, I have a similar reaction to the screen time and mental health issue. Phones, social media, and digital experiences are part of the lives of all individuals from adolescence onward. I don’t see this changing.  Without discounting the value of discussions between parents and their children, which may or may not occur, I see unique value in the curricula and group experiences that educators and school counselors provide in responding to age-related concerns. This type of emphasis, unless part of the use of the tools of concern are unlikely to occur. 

In conclusion, while the concerns regarding adolescent mental health are valid and urgent, a total ban on social media is a blunt instrument for a delicate problem. By recognizing that not all clicks are equal, we can focus on fostering a digital environment that prioritizes well-being, agency, and connection over simple prohibition.

References: 

Ferguson, C. J., Kaye, L. K., Branley-Bell, D., Markey, P., Ivory, J. D., Klisanin, D., Elson, M., Smyth, M., Hogg, J. L., McDonnell, D., Nichols, D., Siddiqui, S., Gregerson, M., & Wilson, J. (2022). Like this meta-analysis: Screen media and mental health. Professional Psychology: Research and Practice, 53(2), 205–214. https://doi.org/10.1037/pro0000426

Gupta, L., Bharti, D., & Singhal, S. (2026). Not all clicks are equal: digital dose, content, and user disposition in mental health. Academia Mental Health and Well-Being, 3(1).  https://doi.org/10.20935/MHealthWellB8208

Haidt, J. (2024). The anxious generation: How the great rewiring of childhood is causing an epidemic of mental illness. Random House.

Vally, Z., & D’Souza, C. G. (2019). Abstinence from social media use, subjective well‐being, stress, and loneliness. Perspectives in Psychiatric Care, 55(4), 752-759.

Verduyn P, Ybarra O, Résibois M, Jonides J, Kross E. Do social network sites enhance or undermine subjective well-being? A critical review. Social Issues Policy Review. 2017;11(1):274–302. doi: 10.1111/sipr.12033

Valkenburg, P. M., van Driel, I. I., & Beyens, I. (2022). The associations of active and passive social media use with well-being: A critical scoping review. New media & society, 24(2), 530-549.

Loading

Posted in Uncategorized | Comments Off on The Digital Paradox: A Multi-Dimensional Analysis of Screen Time and Mental Health

Ground News – The Facts if You are Willing to Work for Them

Online news has become the target of a good deal of deserved complaints. Many sources still existing or derived from paper papers are cutting journalists as ad revenues have dwindled. Online only sources have proliferated, but get by without actual “on the streets” journalists and often focus on a shallow approach similar to those publications you see while waiting to check out at the grocery store. Add to that AI-powered offerings provided what I would describe as summarization engines. 

I have been exploring a new source with a unique approach, I believe, that makes a unique and useful contribution, as long as you understand how it works and what I believe your responsibilities should be in using it. I am a paid subscriber to the NYTimes, a local Minneapolis paper, and the resources I can access through Apple News+. I am sticking to these commitments, but I have subscribed to the service described below. 

Ground News

Ground News is a Canadian company offering an approach to news aggregation intended to make readers aware of the bias and misinformation in the news sources they use. Let me say clearly that the system can’t identify bias or errors in individual articles, as the history of the sources is used for these classifications. Ground News relies on independent organizations that rate the political bias and historical accuracy of the huge number of news sources from which it pulls sources. What it does offer are multiple sources for a given story each classified according to the historical take of each source. You are then encouraged to sample from these offerings, sources likely to put a different spin on a given story. You use the link associated with each story you select to get to the original story. You can’t go behind paywalls, even though pay-walled stories may be identified. This is one reason I would not get rid of the ways I access paywalled content. 

Ground News aggregates content from over 60,000 sources globally, including major national publications, as well as regional and international outlets. The following image should give you a feel for how this works. When a major breaking story occurs, a summary first lays out the main points for what might be called a “story cluster”. Access to different takes can then be achieved with a reminder of each source’s spin (second image).

Ground News offers multiple ways to find stories. The most basic allows a user to select topics/sources.

Classification Systems

The Ground News bias ratings are based on the average rating of three independent news monitoring organizations: AllSides, Ad Fontes Media, and Media Bias Fact Check. The Ground News Factuality Score reflects the average of two trusted rating systems: Ad Fontes Media and Media Bias Fact Check. The links in this paragraph are to previous posts I have offered on media bias. 

Identification of Blindspots

Ground News defines a blindspot as a news story that has political undertones and is disproportionately covered by media sources on one side of the political spectrum. In other words, if you rely on MSNOW or FOX, you may be unaware of certain stories not given much attention by your favorite source. 

Other Features

Sort and filtering options. The “sort and filter” settings allow the reader to select the orientation they want to explore. You can select “center” if you want to read accounts of a story from sources with the least historical bias. Educators could use the system to identify stories most likely to be authored from a left- or right-leaning perspective, and then ask students to contrast how similar facts can be slanted by writers. 

Local – Local is like a mini version of Ground News’s approach, focused on a specific location. I live in a suburb of Minneapolis, but I could set local equal to any location. I thought it was interesting that the tool identified a couple of local news sources that were new to me. 

Cost

Ground News offers multiple subscription tiers from free to $100 a year. I pay $10 a year (the lowest paid tier) and this low price offers a perfectly adequate experience. 

Summary

Ground News has been around a while which surprised me. It is important to understand what Ground News is and what it isn’t. I think it is best to understand the platform as a news aggregator for readers who seriously want to understand events, recognizing that sources present news with a spin. As long as readers are willing to do the work, Ground News provides the opportunity to compare the takes on the facts offered by sources with different biases and, from such comparisons, to understand both the facts and how the powers that be in disseminating the news want you to interpret them. 

Loading

Posted in Uncategorized | Comments Off on Ground News – The Facts if You are Willing to Work for Them

Legislative Struggles in Regulating AI Use by Children

The Trump administration has just released the National AI Legislative Framework. As I understand what a legislative framework means, the goal is to establish goals for legislators to guide related laws on identified topics in constrast say to temporary executive orders.

The topics selected emphasize a) protecting minors and empowering parents, b) limiting unnecessary regulations that would slow the progress of AI advancements, c) protecting taxpayers from an increased burden resulting from AI power consumption, and d) creating systems that are free of “ideological biases”. The goals and supporting materials have only been available for a few days, but there are plenty of online reactions for those (e.g., ABC) and a search will reveal many more.

I have opinions on many points raised in the various analyses, but my major focus is on the section dealing with minors as it relates most strongly to classroom issues. A separate section focused on developing an

AI-ready work force also relevant, but I focus here on the section on protecting minors. I have found one existing in-depth reaction to this section.

Major expectations include:

  • Protect children and adults from deep fakes. This goal specifically references Melania Trump’s personal interests and the Take it down act.
  • Parents/guardians should have ways to control over minors’ privacy settings, screen time, and content selection.
  • Reasonable commercial means should be available to address the issues identified above and to ensure that users meet age requirements for AI and other online tools.
  • Minors should be protected from data harvesting for use in AI model development and advertising.
  • Federal laws should not unnecessarily preempt state-level requirements. I hope I have expressed this accurately in my effort to be brief, as the document seems to imply both federal and state-level expectations have their place.
  • When federal standards are required, they should be unambiguous limiting the likelihood of constant court battles.

The devil and the details.

Yes, I did alter the more common expression. Details and circumstances matter, and a framework avoids details. Expectations may sound good but be unrealistic, and expectations of who must execute the expectation unfair. Expectations, if implemented, also seem to me, based on what I would expect would be required, to be found inconsistent. If you also generalize from state differences in what is labeled “woke” (e.g., historically accurate accounts of our past) and “inappropriate” (e.g., book bans), I can foresee some AI experiences being deemed inappropriate.

The unpredictable nature of AI and user interactions, personal privacy protections, and age/parental controls, when combined, can create expectations that are frequently interpreted as inconsistent.

Here are some of the challenges I anticipate. To allow parental controls, a system (meaning a combination of the online service and local tool) must identify that the active user is a minor, the minor is associated with specific parents/guardians, and there are preferences for specific topics/content sources. These data points must be stored or calculated/determined on the fly. AI tools would have to be moderated at the level of the input (e.g., are questions asked age-appropriate and parent-approved) and/or at the level of the output. Even social media offers a version of this challenge as even the content appearing on the most common social media platforms (e.g., Facebook, Instagram, X) cannot be completely anticipated. This reality would mean that perfect safety would require blocking all use of these platforms. However, expectations of these platforms are to some extent protected by Section 230, implying that the platforms cannot be responsible for what users contribute.

The ambiguity of AI input and output, combined with the guideline to create expectations that avoid legal ambiguity, creates what seems like a nearly impossible challenge. Judgment rather than strict standards would seem to be required, but judgment admits to ambiguity.

The data collection and storage requirements for decision-making are, to some extent, at odds with personal privacy requirements. AI companies are somehow to solve this riddle. How do you ensure a user is more than 13 or 18 without collecting and retaining personal information?

The AI Framework and COSA

An attempt to imagine how the legislative framework would be implemented in practice might use the Kids Online Safety Act (KOSA) as an example. Both the content and the processes to create this legislation are illustrative. KOSA is, in some ways, a broadening of the issues from COPPA (Children’s Online Privacy Protection Act), which gave us the 13-year-old minimum we now know well.

In recognizing the process issues associated with KOSA, I am referring to the history of this legislation and the challenge in operationalizing specifics. KOSA was first introduced in 2022 by the bipartisan pair of Richard Blumenthal and Marsha Blackburn, and although online safety for children is generally supported by both parties, a final version has yet to be approved by both houses.

A Wikipedia article describes the history of this act and the issues that have limited the creation of a final version review, similar to those I have already identified. Verification of age restrictions has been an issue with teens who often find it a simple matter to get around parental consent requirements and additionally, with many parents lying about their children’s ages so they could use some media platforms. Parents and the government sometimes obviously differ in what access is appropriate. The collection of personal information, what information constitutes a “persistent identifier” over time and across online locations, and how a system can avoid identifiers while simultaneously determining age and approval to view parent-designated categories of information, struggle to achieve group support. A final decision proves elusive. Finally, the topic of free speech and children’s autonomy presents challenges. When do children have the right to investigate personal issues that might reveal topics on which they and their parents disagree?

AI was not an issue for KOSA, but makes the same challenges even more complicated as inputs and outputs are less predictable.

Summary

I have read “what about the kids” is always a go-to issue when promoting federal legislation that addresses restricting behavior in one way or another. This is not intended to downplay the issue, but to recognize that it is often a point of reference in regulating personal decision-making. Younger users have again been singled out in the use of AI. Recent political promotion of a legislative framework for AI guardrails and priorities contains this same concern. My reaction to this topic is often shaped by the complexity of possible solutions to multiple challenges posed by authorities who seek the development of powerful tools and offer little guidance when different issues seemingly require conflicting fixes. When each of us encounters imperfect situations in our lives, we wrestle with priorities and trade-offs because decisions must be made. Sometimes I wonder if politicians recognize this same reality, but the pressures of governance do not allow for imperfect recommendations and requirements.

Loading

Posted in Uncategorized | Tagged | Comments Off on Legislative Struggles in Regulating AI Use by Children

Vibe Coding an OPML File

I spent thousands of hours coding from the 1980s through maybe 2010. My original interest in technology was in exploring potential benefits and this first required I write learning games for the Apple II and eventually required that I operate a server and make use of PHP and MySQL to create the online study environments that were the focus of my final decade or so of research activity.

Like many who came of age before the personal computer, I had my original experience with punch cards and Fortran. I learned BASIC from copying the code for projects printed in magazines and the many books on programming sold in Barnes and Noble. More advanced skills came with collaborative projects with graduate students who wrote subroutines in Assembly or showed me other things while working on research projects.

When I retired I found few opportunities to continue because the projects that now dominated my time were more easily accomplished relying on tools such as WordPress that allow construction by moving objects around rather than entering commands. Vibe coding sounds interesting, but I still have nothing in mind that has motivated me to commit my time.

I backed into an AI-generated coding task without meaning to, and I offer the example here for others who may find the activity useful. My goal was to identify specialized education blogs focused on applying cognitive research. I wanted to update the list of blogs I follow through my RSS reader. I had assumed that AI would offer an advantage over more traditional search and this proved to be the case. No coding required at this point. 

One more thing. I have gone through the following process several times with different AI tools. All successfully got me to a conclusion that was productive with some variations along the way. In some cases, the final product was offered to me as a file I could download and in others a section of content I would copy and paste to create a file. 

I will take you through one version of my process.

My prompt: What are the best blogs that apply educational research to educational practice. I most value those that explain the research studies in some detail.

AI Output

Here are the best blogs that rigorously bridge educational research and classroom practice, with a focus on those that actually explain the underlying studies:

The Learning Scientists (learningscientists.org)

Run by cognitive scientists, this is probably the gold standard for what you’re looking for. The blog has been running since 2016 with a mission to help students and teachers understand the science of learning.  Posts walk through individual studies in detail — for example, a recent post explains the “forward testing effect,” working through meta-analytic findings to examine how and why retrieval practice helps students learn new material, not just consolidate old material.  They cite peer-reviewed papers throughout and have a companion podcast with “bite-size research” episodes that walk through specific papers. Free downloadable resources for teachers too.

Daniel Willingham’s Science & Education Blog (danielwillingham.com)

Willingham is a cognitive psychologist at UVA and probably the most respected figure in translating cognitive science for educators. His blog dissects specific studies and is particularly good at flagging when popular education practices lack solid evidence. His book Why Don’t Students Like School? grew directly from this kind of work. The posts are concise but rigorous — he explains what a study actually measured and what it can and can’t tell us.

The Effortful Educator (theeffortfuleducator.com)

Written by a high school psychology teacher, this blog sits at the intersection of cognitive psychology and daily classroom practice. The author describes it as a vehicle for researching “cognitive psychology and education” at a self-directed pace, publishing his research, thoughts, and findings online.  Posts tend to explain mechanisms (e.g., cognitive load, interleaving) with reference to specific studies, then draw classroom implications.

RetrievalPractice.org (retrievalpractice.org)

Run by cognitive scientist Pooja Agarwal, this site goes deep on the science behind retrieval practice specifically. It includes resources written by cognitive scientists covering the history, principles, applications, and practice of the science of learning , and links to the actual peer-reviewed papers it draws from. If retrieval practice, spacing, and interleaving are your areas of interest, this is the most research-dense practitioner-facing resource available.

ResearchED (researched.org.uk — and associated teacher blogs)

ResearchED is a movement founded by UK teacher Tom Bennett that produces conferences and a publication specifically aimed at improving research literacy among educators. Several UK teacher-bloggers connected to this community are exceptional — notably The Learning Spy (David Didau) and Evidence into Practice. These blogs, mainly UK-based, spread the value of using cognitive psychology in the classroom and are frequently cited in academic papers on the topic.

The Education Hub (theeducationhub.org.nz)

A New Zealand-based blog written by researchers for educators. Posts are longer-form and explicitly structured around what the research says, what it means for practice, and what the limitations are. It covers a wider range of topics than the cognitive-science-focused blogs above — curriculum design, assessment, wellbeing, equity.

Deans for Impact (deansforimpact.org)

Focused on teacher education, but their published guides (e.g., The Science of Learning) are free and explain cognitive science research in accessible, well-cited terms. Less of a traditional blog, more of a curated resource hub — but excellent if you want research explained in structured, practitioner-friendly formats.

Of these, The Learning Scientists and Daniel Willingham’s blog best match your preference for explaining studies in some detail rather than just citing conclusions. The UK teacher-blogger ecosystem (ResearchED, The Learning Spy) is also excellent if you want practitioners who have read deeply in the literature and engage with it critically.​​​​​​​​​​​​​​​​

_________

At this point, I could easily have copied the individual URLs that were offered and manually pasted them one by one as inputs to a RSS reader. However, I knew that RSS readers can input what is called an OPML file (output processor markup language) and this approach is useful when moving larger collections of inputs. You may have encountered this approach if you have moved the content of one RSS reader to a different RSS reader. AI activity allows you to issue a prompt and then another prompt that uses as an input the output from the preceding prompt. The output here is XML. I am not certain if it counts as vibe coding, but it works.

 AI Prompt: Create an OPML file that will alllow me to import the feeds for these blogs into my RSS reader

AI Output

I have enough to work with. Most of these blogs run on WordPress or Squarespace, which follow predictable RSS URL patterns (/feed or ?format=rss). Let me build the OPML file using the confirmed and well-established feed URLs for each blog.​​​​​​​​​​​​​​​​

The OPML file includes all 8 blogs from the earlier list. You can import it into any RSS reader (Feedly, NetNewsWire, Reeder, Inoreader, etc.) via their “Import OPML” option.

One note: a couple of these sites (The Learning Scientists and Retrieval Practice) use Squarespace, whose RSS URLs can sometimes be slightly nonstandard. If either of those two feeds fails to import, try appending ?format=rss to the blog URL directly in your reader as an alternative. All the WordPress-based blogs (The Effortful Educator, Learning Spy, ResearchED, The Education Hub, Deans for Impact) should import without any issues.​​​​​​​​​​​​​​​​

________

The content of the OPML are included below. You can copy and paste the following into a text editor if you want to insert the content into your own RSS reader. You have to save the contents with the .opml suffix – for example researchblogs.opml.

<?xml version=”1.0″ encoding=”UTF-8″?>

<opml version=”2.0″>

  <head>

    <title>Educational Research Blogs</title>

    <dateCreated>Sun, 08 Mar 2026 00:00:00 GMT</dateCreated>

  </head>

  <body>

    <outline text=”Educational Research Blogs” title=”Educational Research Blogs”>

      <outline

        type=”rss”

        text=”The Learning Scientists”

        title=”The Learning Scientists”

        description=”Cognitive scientists making research on learning accessible to students, teachers, and educators.”

        htmlUrl=”https://www.learningscientists.org/blog”

        xmlUrl=”https://www.learningscientists.org/blog?format=rss”/>

      <outline

        type=”rss”

        text=”Daniel Willingham – Science &amp; Education”

        title=”Daniel Willingham – Science &amp; Education”

        description=”Cognitive psychologist at UVA translating cognitive science research for educators.”

        htmlUrl=”https://www.danielwillingham.com”

        xmlUrl=”https://www.danielwillingham.com/feed”/>

      <outline

        type=”rss”

        text=”The Effortful Educator”

        title=”The Effortful Educator”

        description=”A high school teacher’s deep dive into cognitive psychology and its implications for classroom practice.”

        htmlUrl=”https://theeffortfuleducator.com”

        xmlUrl=”https://theeffortfuleducator.com/feed/”/>

      <outline

        type=”rss”

        text=”Retrieval Practice (Pooja Agarwal)”

        title=”Retrieval Practice (Pooja Agarwal)”

        description=”Cognitive scientist Pooja Agarwal on the research and classroom application of retrieval practice.”

        htmlUrl=”https://www.retrievalpractice.org”

        xmlUrl=”https://www.retrievalpractice.org/blog?format=rss”/>

      <outline

        type=”rss”

        text=”The Learning Spy (David Didau)”

        title=”The Learning Spy (David Didau)”

        description=”UK educator applying cognitive science and educational research to teaching and curriculum.”

        htmlUrl=”https://learningspy.co.uk”

        xmlUrl=”https://learningspy.co.uk/feed/”/>

      <outline

        type=”rss”

        text=”ResearchED”

        title=”ResearchED”

        description=”Movement promoting research literacy in education, founded by Tom Bennett.”

        htmlUrl=”https://researched.org.uk”

        xmlUrl=”https://researched.org.uk/feed/”/>

      <outline

        type=”rss”

        text=”The Education Hub”

        title=”The Education Hub”

        description=”New Zealand researchers writing long-form, evidence-based pieces for educators on curriculum, assessment, and wellbeing.”

        htmlUrl=”https://theeducationhub.org.nz”

        xmlUrl=”https://theeducationhub.org.nz/feed/”/>

      <outline

        type=”rss”

        text=”Deans for Impact”

        title=”Deans for Impact”

        description=”Research-based resources on the science of learning, focused on improving teacher preparation.”

        htmlUrl=”https://deansforimpact.org”

        xmlUrl=”https://deansforimpact.org/feed/”/>

    </outline>

  </body>

</opml>

Summary

I offer this as a template for an activity you might adapt to your own interests. Start with a topic of personal interest and then work your way through a similar process. As I said, I have tried this with several AI tools and all produced a workable output. Once in your RSS readers, discard those feeds that you do not find useful. AI works in mysterious ways and personal adjustments are often necessary.

Loading

Posted in Uncategorized | Tagged | Comments Off on Vibe Coding an OPML File