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Planning to hit the road this holiday season? Or maybe just thinking about an extended drive of some sort for sometime in the new year? The next time youve got a driving adventure ahead of you, todays Cool Tools discovery is exactly the new virtual companion you need. Its a truly cool app I encountered recently that enhances your standard navigation setup and offers some really smart extras thatll make whatever trip youre taking infinitely more interestingand enjoyable. Lemme show ya what its all about. This tip originally appeared in the free Cool Tools newsletter from The Intelligence. Get the next issue in your inbox and get ready to discover all sorts of awesome tech treasures! Next-level navigation So, weve all got our standard navigation go-tobe it Google Maps, Waze, or (maybe?) even (gasp!) Apple Maps (hiccough). But in addition to those basic getting-you-where-you-need-to-go basics is an opportunity to inject some extra entertainment into your journey along the way. And thats precisely what an app called Roadtrippers is all about. Roadtrippers is a service that helps you find worthwhile stops and sights along whatever route youre taking. Whether youre looking for parks and monuments, activities and experiences, or even just especially interesting or commendable hotels and restaurants, its a spiffy supplement to your standard mapping setup and a welcome way to enhance an adventure. Depending on the nature of your trip and how deeply you want to explore your options, youll need anywhere from three to 15 minutes to poke around a route and unearth something useful. To start, either pull up the Roadtrippers website in any browser youre using or grab the official Android app or iOS app for a phone or tabletand then: Click inside the Starting point field within the Create a route box on the web or tap the Start planning your trip field in the mobile app. Fill in where youre starting and where youre going. You can use a specific address, if you want, or just stick to a broad city name for either piece of the puzzle. At some point along the way, Roadtrippers will prompt you to sign in or create a free account. You can either use an email address or follow the options to sign in via Google, Apple, or Facebook, if youd like. Make sure you pick the Quick Launch option, then click or tap through to get your trip a-goin. Roadtrippers may prompt you to upgrade to a free trial of a premium plan somewhere in this process, but you can just X out of that prompt and continue with the free version. It has plenty of info to keep you busy. Once you see the map view, just tap any icon along the route to look at it more closely and optionally add it into your trip. Roadtrippers surfaces interesting spots all along your route. Be sure to zoom in to specific parts of the route, toousing either the standard two-finger pinching gesture on mobile or the plus and minus icons (or, alternatively, a mouse scroll wheel) on desktopto reveal even more detail and specific suggestions for different parts of your drive. The more you zoom in, the more possibilities you’ll see. You can also click or tap the Explore tab to browse through the available suggestions. There, you can filter by the specific type of attraction, as well as its distance from your route, and also choose to sort by popularity, distance, rating, or number of reviews. The “Explore” tab is a fantastic way to filter and find the exact types of attractions you want. And, once more, anytime you find something interesting, you can add it directly onto your route with a single click or tap. Anything you discover can be added into an trip with a quick click or tap. Now, a note: Sooner or later, youll almost certainly encounter limitations and additional nudges to upgrade to a paid subscription. Those plans do offer some intriguing extras, and if you use Roadtrippers enough over the long haul, they might be worthwhile to considerif youre so inspired. BUT, you realy can make the most of the app and its drive-enhancing intelligence even with just the free base version. Keep in mind: Even though Roadtrippers wont let you add more than three total destinations to any trip youre planning, you can still use it to look along a route and find interesting placesthen simply add em into your plans in Google Maps or whatever regular navigation app youre already using. While Roadtrippers allows for only a single saved trip at a time in its free level, you can easily delete any trip youve already planned and then reset that limitation so you can start again. And if you really get into the Roadtrippers thing and want to go all in with one of its premium plan options, you can find coupon codes thatll bring the cost down by a good amount right on the Roadtrippers website. Whether you end up taking one of the premium plans out for a test-drive or just stickin with the simpler free version, Roadtrippers is a tremendous resource to add into your trip-planning toolbox. All thats left is to plan out the perfect road trip playlist and secure some salty snacks. Roadtrippers is available on the web or in native apps for both Android and iOS. Its free to use, at its base level, with optional subscriptions that lift limitations and unlock extra features. Those range from $36 to $60 a year, though coupon codes can lower those costs considerably. The site does require you to create an account to do much, but promises not to send you any upsells or other marketing info if you opt out of those options. And it doesnt share or sell any information. Treat yourself to all sorts of brain-boosting goodies like this with the free Cool Tools newsletterstarting with an instant introduction to an incredible audio app thatll tune up your days in truly delightful ways.
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E-Commerce
In the Star Trek universe, the audience occasionally gets a glimpse inside schools on the planet Vulcan. Young children stand alone in pods surrounded by 360-degree digital screens. Adults wander among the pods but do not talk to the students. Instead, each child interacts only with a sophisticated artificial intelligence, which peppers them with questions about everything from mathematics to philosophy. This is not the reality in todays classrooms on Earth. For many technology leaders building modern AI, however, a vision of AI-driven personalized learning holds considerable appeal. Outspoken venture capitalist Marc Andreessen, for example, imagines that the AI tutor will be by each childs side every step of their development. Years ago, I studied computer science and interned in Silicon Valley. Later, as a public school teacher, I was often the first to bring technology into my classroom. I was dazzled by the promise of a digital future in education. Now, as a social scientist who studies how people learn, I believe K-12 schools need to question predominant visions of AI for education. Individualized learning has its place. But decades of educational research are also clear that learning is a social endeavor at its core. Classrooms that privilege personalized AI chatbots overlook that fact. School districts under pressure Generative AI is coming to K-12 classrooms. Some of the largest school districts in the country, such as Houston and Miami, have signed expensive contracts to bring AI to thousands of students. Amid declining enrollment, perhaps AI offers a way for districts to both cut costs and seem cutting edge. Pressure is also coming from both industry and the federal government. Tech companies have spent billions of dollars building generative AI and see a potential market in public schools. Republican and Democratic administrations have been enthusiastic about AIs potential for education. Decades ago, educators promoted the benefits of One Laptop per Child. Today, it seems we may be on the cusp of one chatbot per child. What does educational research tell us about what this model could mean for childrens learning and well-being? Learning is a social process During much of the 20th century, learning was understood mainly as a matter of individual cognition. In contrast, the latest science on learning paints a more multidimensional picture. Scientists now understand that seemingly individual processessuch as building new knowledgeare actually deeply rooted in social interactions with the world around us. Neuroscience research has shown that even from a young age, peoples social relationships influence which of our genes turn on and off. This matters because gene expression affects how our brains develop and our capacity to learn. In classrooms, this suggests that opportunities for social interactionfor instance, children listening to their classmates ideas and haggling over what is true and whycan support brain health and academic learning. Research in the social sciences has long since proved the value of high-quality classroom discourse. For example, in a well-cited 1991 study involving over 1,000 middle school students across more than 50 English classrooms, researchers Martin Nystrand and Adam Gamoran found that children performed significantly better in classes exhibiting more uptake, more authenticity of questions, more contiguity of reading, and more discussion time. In short, research tells us that rich learning happens when students have opportunities to interact with other people in meaningful ways. AI in classrooms lacks research evidence What does all of this mean for AI in education? Introducing any new technology into a classroom, especially one as alien as generative AI, is a major change. It seems reasonable that high-stakes decisions should be based on solid research evidence. But theres one problem: The studies that school leaders need just arent there yet. No one really knows how generative AI in K-12 classrooms will affect childrens learning and social development. Current research on generative AIs impact on student learning is limited, inconclusive, and tends to focus on older studentsnot K-12 children. Studies of AI use thus far have tended to focus on either learning outcomes or individual cognitive activity. Although standardized test scores and critical thinking skills matter, they represent a small piece of the educational experience. It is also important to understand generative AIs real-life impact on students. For example: How does it feel to learn from a chatbot, day after day? What is the longer-term impact on childrens mental health? How does AI use affect childrens relationships with each other and with their teachers? What kinds of relationships might children form with the chatbots themselves? What will AI mean for educational inequities related to social forces such as race and disability? More broadly, I think now is the time to ask: What is the purpose of K-12 education? What do we, as a society, actually want children to learn? Of course, every child should learn how to write essays and do basic arithmetic. But beyond academic outcomes, I believe schools can also teach students how to become thoughtful citizens in their communities. To prepare young people to grapple with complex societal issues, the National Academy of Education has called for classrooms where students learn to engage in civic discourse across subject areas. That kind of learning happens best through messy discussions with people who dont think alike. To be clear, not everything in a classroom needs to involve discussions among classmates. And research does indicate that individualized instruction can also enhance social forms of learning. So I dont want to rule out the possibility that classroom-based generative AI might augment learning or the quality of students social interactions. However, the tech industrys deep investments in individualized forms of AIas well as the disappointing history of technology in classroomsshould give schools pause. Good teaching blends social and individual processes. My concern about personalized AI tutors is how they might crowd out already infrequent opportunities for social interaction, further isolating children in classrooms. Center childrens learning and development Education is a relational enterprise. Technology may play a role, but as students spend more and more class time on laptops and tablets, I dont think screens should displace the human-to-human interactions at the heart of education. I see the beneficial application of any new technology in the classroomAI or otherwiseas a way to build upon the social fabric of human learning. At its best, it facilitates, rather than impedes, childrens development as people. As schools consider how and whether to use generative AI, the years of research on how children learn offer a way to move forward. Niral Shah is an associate professor of learning sciences & human development at the University of Washington. This article is republished from The Conversation under a Creative Commons license. Read the original article.
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E-Commerce
In todays corporate landscape, optics often precede outcomes, especially in technology-led transformations. Announcements of new platforms, AI-powered strategies, or digital-first pledges frequently come long before the underlying infrastructure to support them. That was Teds reality as the chief growth officer at a global bank when his CEO unveiled a high-profile AI-Powered Growth Strategy positioned as a bold leap forward. The announcement made headlines and thrilled investors, but behind the scenes, the organization wasnt prepared. Ted was given a skeletal team of two direct reports, a patchwork of third-party tools, and the mandate to partner with five global banking divisions serving more than 500 employees. He was expected to turn the AI vision into reality with little structural support. This tension is commonand survivable. Leaders who maintain credibility dont scrap such pledges or decry them. Instead, they manage the gap between promise and proof. A well-intentioned CEO may launch an initiative to signal innovation, but when systems or skills lag, ambition can outpace execution. WeJenny, as an executive adviser and learning & development expert, and Kathryn, as an executive coach and keynote speakerhave identified five strategies to help executive teams navigate these moments with integrity and strategic foresight, especially when the initiative is more symbolic than substantive in its early stages. 1. Balance bold aspiration with candid honesty In the early stages of transformation, perception often outpaces progress. Stakeholders want visible proof that change is real. McKinsey found that 70% of digital transformations fail to meet their intended outcomes because senior executives either overpromise or disengage when early wins dont materialize. Those charged with execution must balance bold aspiration with candid honesty, communicating both the vision (Heres where were heading) and gap (Heres what it will take to get there) to maintain trust and momentum. Behind the scenes, Ted allocated 20% of the budget to data cleanup and capability-building, unseen but essential work such as strengthening data quality and governance, building the pipelines and quality controls that support mission-critical AI, and elevating the organizations baseline AI literacy. Within a year, three pilots validated the transformation narrative and quieted early skeptics. Edelmans Trust Barometer shows that stakeholders extend grace when leaders communicate with clarity and consistency, not performative certainty. Credibility, not charisma, sustains momentum through uncertainty. Try this: Balance vision with transparency. Use confident yet realistic language, such as Were learning in real time or This is a multi-year capability build. 2. Map Whats Performative vs. Whats Possible Not every element of a high-visibility initiative will yield immediate results. The key is distinguishing symbolic actions that signal intent from those that build lasting capability. Theresa, chief digital officer at a consumer goods firm, launched a public digital transformation week with town halls and press coverage. She brought in her AI agency partners and major retail customers to show alignment and signal momentum, partnership, and focus. The event created attention, but she knew the real work would happen out of sight. She used a short-horizon/long-horizon approach. The short horizon created urgency and rallied stakeholders, while the longer horizon anchored on execution. She reassigned 30% of her team to integrate legacy systems, clean priority datasets, and run joint sprints with her AI partners. That groundwork created a technical foundation strong enough to support advanced modeling. Within nine months, they delivered a demand-forecasting model that reduced inventory outages by 18%, transforming a performative launch into measurable operational value. When mapping an initiative, clarify two horizons: Short horizon (06 months): What signals matter? (e.g., visible executive sponsorship, internal messaging, external storytelling) Mid / long horizon (624+ months): What structural enablers must be built? (e.g., data platforms, technology partnerships, governance, skills) Visibility matters, but only when its paired with substance. Try this: Separate the symbolic from the structural. Create a two-horizon map to test balance: Which actions build momentum? and Which build capability? Then ensure both are visible. 3. Leverage Visibility as Currency When a high-profile initiative captures attention, use that spotlight to build political capital and secure future resources. Leaders who link early symbolic wins to longer-term learning sustain engagement and trust. Julie, a chief marketing officer we advised, leveraged her companys Digital Reinvention campaign to secure additional funding for employee upskilling, positioning it as the bridge between aspiration and execution. Try this: Treat visibility not as validation, but as leverage. Ask, What can this attention buy us: credibility, talent, or momentum? That perspective turns optics from vanity to value. 4. Build Small Wins that Prove Real Value Symbolic gestures lose power without substance. Once the spotlight fades, stakeholders want proof. Anchor your narrative in small, visible wins: projects, pilots, or behaviors that validate early promises. Start with pilots that address real pain points: automate a reporting process, improve data access for a critical team, or integrate AI into a single workflow. For Ted, that meant delivering credible proof pointsan AI-powered lead scoring model that lifted conversion rates by 12%, a unified customer insights dashboard, and a monthly What Were Learning series to build internal momentum. Small, visible progress converts skepticism into trust and gradually shifts perception from Its all optics to Its starting to work. Try this: Start small, but make progress visible. Choose one pilot that solves a visible pain point within 90 days. Publicize lessons learned, not just the result, to show that momentum is real, even if imperfect. 5. Reframe the Narrative: From Optics to Opportunity The best leaders dont deny the optics, they reframe them as stepping stones to a larger transformation. Gary, a nonprofit CEO we coached, introduced his first AI pilot as symbolic but necessary. It wasnt yet transformative, but it sparked a mindset shift: leaders began talking about data ethics, digital fluency, and decision-making transparency. As he put it, The project wasnt about the tool. It was about changing how we think. Reframing is essential. Deloitte and BCG both show that real value emerges when strategy, technology, and human systems align. Symbolic gestures only matter if they lead to lasting capability and behavior change. When leaders treat optics as openings rather than distractions, they turn visibility into belief. Stakeholders who see learning, transparency, and follow-through extend trust, and grant the runway needed for real transformation. Try this: Name the signal and the shift. Say, This initiative signals where were headed. Then ask, What new conversations or capabilities did this open up? In complex transformations, optics are not the enemy. Theyre a catalyst for belief. What matters is how leaders use those moments to align teams, secure investment, and guide the narrative from promise to proof. Integrity isnt about rejecting optics; its about ensuring they serve a larger purpose. The most effective leaders turn visibility into accountability and symbolic beginnings into lasting systems.
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E-Commerce
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