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Artificial intelligence is reshaping the global workforce and rapidly expanding the expectations placed on todays learners. The World Economic Forum predicts that technological advancements like AI, alongside economic and demographic factors, will lead to a net increase of 78 million global jobs this decade. Educational institutions now face a pivotal moment. They must evolve how students learn, how instructors teach, and how technology supports each step of that journey. For decades, the education sector adopted new technologies cautiously. However, the profound impact of AI on the workforce has accelerated interest and experimentation. Our latest research at Cengage Group shows that both positive perceptions of AI and classroom usage are rising. While this enthusiasm is a promising step toward ensuring learners are prepared for an AI-forward future, its critical that institutions approach AI responsibly. With new AI tools launching at unprecedented speeds, it can be difficult to determine which will truly enhance learning outcomes. In some cases, rapid launches have created more friction for educators and confusion for students. To ensure responsible deployment, the conversation must shift from racing to market and instead toward measured, purposeful development aligned with how learning actually occurs. WELL-INTENTIONED, BUT MISSING THE MARK Many big tech companies have rushed to develop AI-based educational tools. But while tech innovators have made strides in exploring AI to enhance the educator and student experience, the critical reality is that education is an incredibly complex ecosystem. Education is simply not fit for plug-and-play solutions. Googles recent homework help feature is one example. Designed to give students an AI overview of what appeared on the screen including assessment answers, the tool inadvertently made it harder for instructors to validate work and accurately gauge understanding. Instead of reducing friction, it increased workload for both educators and students, ultimately leading to a pause in deployment. A similar challenge emerged this past summer with OpenAIs Study Mode. While designed to guide students and ask questions rather than provide answers, it is just one click away from ChatGPT, where answers are readily available. Without a deep understanding of teaching fundamentals, and how and when real learning happens, technological developments can lead to unintended consequences that disrupt rather than improve learning. These examples highlight an important truth. Innovation alone is not enough. Educational impact requires domain expertise, intentional design, and clear boundaries that promote understanding rather than shortcuts. BALANCE MEANINGFUL INNOVATION AND REINFORCE LEARNING To deliver educational support that blends innovation with learning outcomes, AI product development must balance the needs of both educators and students. Faculty are increasingly being asked to do more with less. AI should lighten that load, not add to it. For example, AI can surface classroom trends, flag areas where students are struggling, and help educators personalize instruction. Students, meanwhile, need support tools that build understanding, and dont just provide answers. Success in student deployment lies in cultivating curiosity and critical thinking. For example, AI can provide study support outside of classroom hours, deliver personalized feedback, and encourage further exploration to strengthen learning. This balanced approach requires maintaining human oversight. Collaboration with institutions and faculty ensures AI experiences align with course objectives and reinforce, rather than disrupt, proven teaching practices. THE PATH FORWARD: PRIORITIZE PEDAGOGY As AI continues to evolve, pedagogy must be at the core of all innovation, ensuring academic integrity and quality content that builds trust and drives meaningful student outcomes. Through controlled, confined subject knowledge and consistent training to ensure accuracy and academic integrity, AI tools can prioritize pedagogy and remain narrowly focused on driving specific student learning outcomes. AI should act as a supporting coach who helps break down problems, prompts curiosity, and encourages persistent learning so students can confidently reach the correct answer on their own. This purpose-built approach to AI complements the human teacher and enhances instruction by confirming student understanding and pinpointing knowledge gaps to support educators in delivering more personalized learning. The key to unlocking AIs potential in education goes beyond speed to market, and lies in thoughtful development rooted in intentional and responsible design. With pedagogy at the core, AI becomes more than a tool. It becomes a partner in improving learning outcomes for students and reducing the educators load. Darren Person is EVP and chief digital officer of Cengage Group.
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E-Commerce
If you’re a millennial or simply a fan of sci-fi, you likely remember 2010’s smash hit Inception, written and directed by Christopher Nolan. The story follows Dom Cobb (played by Leonardo DiCaprio), a professional thief who specializes in stealing privileged secrets from peoples minds while they dream. He uses advanced technology to enter another persons subconscious while theyre asleep and take whatever information he wants. The problem DiCaprio’s character faces is that the line between reality and dreams become blurred, making it increasingly difficult to tell whats real. In many ways, especially for retail investors, that’s a picture of the modern market. A place where rumor, rhetoric, and anticipation can impact price action in unpredictable ways. When you add the ever-changing realities of our current political and macro-economic environment, the average Joe trader can feel like the odds are stacked against him. But there is one set of data that more often than not, cuts through the noise. And that’s the options market. OPTIONS PROVIDE ACCURATE VIEWS Options give us a more accurate picture of what the people who move the markets are actually thinking. Institutions and hedge funds make their living on positive returns. And while stocks can often be manipulated, options have a shorter shelf-life and are way less forgiving. And it’s there, in the nuances of the “put to call ratios” of the options market, that AI is quietly giving retail traders a helping hand. Let me give you an example. OnOctober 9th, our Prospero.ai AI-driven Net Options Sentiment (a gauge of real-time, market options data and positioning), plunged from a bullish 33 to an ominously bearish zero in a matter of minutes. No headline. No Fed speech. No earnings shock. Just a massive bearish shift, seemingly out of nowhere. We saw the shift and sent an alert to our followers on X. At 10:30 a.m. the next morning, the numbers were still sitting at zero. We issued another alert warning that a possible market reversal might be brewing. Thirty minutes later, without any warning, President Trump posted on social media about a looming trade war with China. The market fell off a cliff. Several fintech influencers noticed our early warnings and brought positive attention to it on X. Some were skeptical. @cyberdaddy mused, “Today’s selloff was 100% correlated to the China tariff threats, which were impossible for any person or algo to forsee.this was 100% random luck. But the reality is that this wasnt the first time our signals picked up on a major market move before it happened. The same pattern appeared in February when we saw SPY Net Options Sentiment lead the market down. We warned about it (Dont Trim the Hedges) on March 3rd, just a few days before a historic market correction on Liberation Day. Twice now, the data revealed massive bearish options positioning before a drop in price. WHATS REALLY HAPPENING? That brings us to an important question. If the data is picking up on signals before theyre public, whats really happening? Is AI becoming smart enough to sense fear before humans can express it? Or is information, intentional or not, pulsing through back channels in a way once thought unimaginable 20 years ago? In earlier eras, Wall Street’s most valuable information moved in whispers and was confined to smoke-filled rooms and the back nine of golf courses. Today, that same information moves with lightning speed through social media threads, encrypted group chats, and algorithmic pattern recognition. One whisper in the right chat room can ripple through a thousand terminals before the SEC finishes its coffee. A policymakers assistant, a janitor overhearing a senator’s conversation as he informs a colleague of a military contract, or heightened tensions in the White House can all lead to that same outcome. The lines between what’s public, private, and privileged are dissolving. So maybe the question isnt whether AI is getting smarter or if those in the know are getting bolder. Maybe it’s that AI is hearing the market’s whispers more clearly than ever before. Cyberdaddy backed off his protest of the validity of our system: After doing some more research, I found that the de-risking and drop in options sentiment likely occurred for logical reasons that your model picked up on. The China export-control announcement on October 8th probably drove much of that defensive positioning among people paying attention to geopolitics (which major firms obviously do). My apologies for jumping the gun, I was wrong. THE CRUX OF THE ISSUE This is the crux of the matter. Did a shift in the perception of risk regarding the situation with China lead to a massive hedge or bet against the QQQ (an index including 100 of the largest non-financial companies listed on the Nasdaq exchange, heavily weighted toward technology and growth)? Or were some more in the know about the political winds changing? How could we even begin to differentiate between the two? By the way, the word inceptionisn’t just a movie title, it’s a word that means the beginning, or start of something brand new. And maybe we are at a point of inception. Because for the first time, AI isn’t just leveling the playing field; it’s changing who gets to play on that field in the first place. George Kailas is CEO of Prospero.ai.
Category:
E-Commerce
A wild winter storm was expected to bring strong winds, heavy snow and frigid temperatures to the Great Lakes and Northeast on Tuesday, a day after a bomb cyclone barreled across the northern U.S. and left tens thousands of customers without power.The storm that hit parts of the Plains and Great Lakes on Monday brought sharply colder air, strong winds and a mix of snow, ice and rain that led to treacherous travel. Forecasters said it intensified quickly enough to meet the criteria of a bomb cyclone, a system that strengthens rapidly as pressure drops.Nationwide, more than 153,000 customers were without power early Tuesday, more than a third of them in Michigan, according to Poweroutage.us.As Monday’s storm moved into Canada, the National Weather Service predicted more inclement weather conditions for the Eastern U.S, including quick bursts of heavy snow and gusty winds known as snow squalls.New York Gov. Kathy Hochul warned that whiteout conditions were expected Tuesday in parts of the state, including the Syracuse-metro area.“If you’re in an impacted area, please avoid all unnecessary travel,” she said in a post on the social media platform X.Snow piled up quickly in Michigan’s Upper Peninsula on Monday, where as much as 2 feet (60 centimeters) fell in some areas, according to the National Weather Service. Meteorologist Ryan Metzger said additional snow was expected in the coming days, although totals would be far lighter.Waves on Lake Superior that were expected to reach 20 feet (6 meters) Monday sent all but one cargo ship into harbors for shelter, according to MarineTraffic.com. Weather forecasting on the lakes has improved greatly since the Edmund Fitzgerald sank in 1975 after waves were predicted at up to 16 feet (4.8 meters).The fierce winds on Lake Erie sent water surging toward the basin’s eastern end near Buffalo, New York, while lowering water on the western side in Michigan to expose normally submerged lakebed even the wreck of a car and a snowmobile.Kevin Aldrich, 33, a maintenance worker from Monroe, Michigan, said he has never seen the lake recede so much and was surprised on Monday to spot the remnants of old piers dating back to the 1830s. He posted photos on social media of wooden pilings sticking up several feet from the muck.“Where those are at would typically be probably 12 feet deep,” he said. “We can usually drive our boat over them.”Dangerous wind chills plunged as low as minus 30 F (minus 34 C) across parts of North Dakota and Minnesota on Monday. And in northeast West Virginia, rare, nearly hurricane-force winds were recorded on a mountain near Dolly Sods, according to the National Weather Service.In Iowa, after blizzard conditions eased by Monday morning, high winds continued blowing fallen snow across roadways, keeping more than 200 miles (320 kilometers) of Interstate 35 closed. State troopers reported dozens of crashes during the storm, including one that killed a person.On the West Coast, the National Weather Service warned that moderate to strong Santa Ana winds were expected in parts of Southern California through Tuesday, raising concerns about downed trees in areas where soils have been saturated by recent storms. Two more storms were forecast later this week, with rain on New Year’s Day potentially soaking the Rose Parade in Pasadena for the first time in about two decades. Associated Press writers Julie Walker in New York; Corey Williams in Detroit; Margery Beck in Omaha, Nebraska; Susan Haigh in Norwich, Connecticut; and Becky Bohrer in Juneau, Alaska, contributed. Leah Willingham and Jeff Martin, Associated Press
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E-Commerce
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