Education

Curt Cignetti will soon sign a new contract with Indiana that pays him at least $12.5 million per year. But after digging into the numbers, Cignetti might still be the most undervalued coach in college football (and not for the reason you might think). We all know what Cignetti has done at IU is remarkable — he turned a perennial cellar-dweller into the national championship favorite just two years after his arrival. This has transformed IU's athletic department: • Before the 2025 season even kicked off, ticket revenue for IU football surpassed $13 million. • Indiana announced a $50 million stadium naming rights deal with Merchants Bank. • Fundraising hit a record high, with billionaire IU alum Mark Cuban donating to the athletic department for the first time. But that’s the obvious stuff; Cignetti’s real impact comes in the admissions office. IU’s football team is essentially a marketing vehicle for the university — 24 million people watched them win the Rose Bowl, 18 million watched them win the Big Ten Championship, and when College Gameday visited campus, more than 2 million people watched a three-hour commercial about the school. This exposure is worth hundreds of millions of dollars and is already impacting Indiana’s finances. In 2025 alone, Indiana University set school records for total enrollment (48,626 students), freshman class size (10,127), first-year out-of-state students (4,697), and applications (73,400). Indiana University Applicants • 2020-21: 46,623 • 2021-22: 50,159 • 2022-23: 54,345 • 2023-24: 67,731 • 2024-25: 73,400 Because IU can only admit so many students, it uses excess demand to 1) shift enrollment toward out-of-state students and 2) become more selective academically. Out-of-state students now account for roughly 50% of total enrollment, with 4,697 new non-residents admitted in 2025 — about 500 more than IU’s previous record. That matters because out-of-state students pay $30,000 more per year in tuition — $12,000 for residents versus $42,000 for non-residents. 500 new out-of-state students x $30,000 tuition difference ––––––––– = $15 million annually Over four years, those students are worth $60 million more than in-state students. And since football success attracts more applicants, IU can raise its academic bar. Indiana’s Fall 2025 class had a median high school GPA of 3.94 — the highest in school history. This creates a virtuous cycle. Better sports → more applicants → better students → higher rankings → even more applicants and higher tuition revenue. This is exactly what happened at Alabama with Nick Saban, and it’s why Indiana is comfortable giving Cignetti new contracts every year. P.S. If you enjoyed this breakdown, join 135,000 others who learn about the business and money behind sports by reading my 3x weekly newsletter: https://lnkd.in/dF2E-Qc2 #sports #sportsbiz

500 students share one computer in Niger. Yet they're conducting advanced physics experiments that students at elite schools can't access. The secret? WebAR turning basic smartphones into portable STEM labs. Think about that. In Sub-Saharan Africa, fewer than 10% of schools have internet. Student-to-computer ratios hit 500:1. Yet mobile subscriptions jumped from single digits to 80% in a decade. Students already carry the infrastructure—we just weren't using it right. Traditional EdTech Reality: ↳ VR headsets: $300+ per student ↳ Heavy apps requiring 5G speeds ↳ Labs costing millions to build ↳ Rural schools: permanently excluded The WebAR Revolution: ↳ Runs in any browser, optimized for 3G ↳ No app store, minimal storage ↳ Science scores improving 10-15% ↳ Every smartphone becomes a laboratory But here's what grabbed me: A physics teacher in rural South Africa has one broken oscilloscope. No budget. Her students scan printed markers, and electromagnetic fields pulse across their desks. They run experiments infinitely—no equipment damaged, no reagents consumed. One student told her: "Engineering is for people like me now. The lab fits in my pocket." What changes everything: ↳ Mobile-first matches actual connectivity ↳ Browser-based works offline ↳ Teachers need training, not new buildings ↳ Inequality becomes irrelevant The Multiplication Effect: 1 teacher with markers = 30 students experimenting 10 schools sharing content = communities transformed 100 districts adopting = educational equality emerging At scale = STEM education without infrastructure gaps We spent decades waiting for labs that won't arrive. Now any browser becomes one. Because when a student in rural Africa explores the same 3D molecules as someone at MIT—using the phone already in their pocket—you realize: WebAR isn't shiny technology. It's a quiet equaliser making world-class STEM education fit into 3G connections and $50 phones. Follow me, Dr. Martha Boeckenfeld for innovations where accessibility drives transformation. ♻️ Share if you believe quality education shouldn't require perfect infrastructure.

Ever wake up just before your alarm? It might not be a coincidence… It turns out, our brains have a natural way of keeping track of time, an inborn “clock” mechanism, which is synchronised to light in our environment. It’s got the coolest name for such a tiny brain region: the suprachiasmatic nucleus (SCN) - literally, the group of cells (nucleus) above (supra) the optic chiasm (crossing). The SCN is essentially your brain’s “master clock” because it is responsible for coordinating our circadian rhythms. Light-sensitive cells in your eyes send signals to the SCN, which regulates melatonin - a hormone that makes us sleepy - via the pineal gland. Our species evolved to be diurnal, being active in the day and sleeping at night. As a result, daylight inhibits melatonin release, making us more alert. At night, the lack of light promotes melatonin release, making us sleepy. This is why for better sleep hygiene, experts often recommend limiting exposure to electronic devices for at least an hour before bedtime. The light from electronic devices can shift your body clock and this gets aggravated by heightened anxiety associated with doom scrolling -- neither of which helps your sleep. Want to support your brain’s internal clock? A few simple habits can make a big difference: 👉 Get natural sunlight in the morning. This helps reset your body clock. 👉 Stick to a consistent sleep schedule, even on weekends. 👉 Limit screens at least an hour before bed. 👉 Keep your bedroom dark and cool to promote better sleep. BTW, in teenagers melatonin starts to be produced later at night, which is why many teenagers don’t feel sleepy until much later in the evening. It’s also the reason they struggle to get up in the morning. For teens, going to school early is a bit like forcing them into a different time zone during the week and only letting them reset on weekends. When your teenager sleeps in on the weekends, bear in mind they are dealing with a genuine biological change in their circadian rhythm during the teenage years. So when you wake right before your alarm, blame (or credit!) your suprachiasmatic nucleus for being such a good time keeper! Understanding our biology helps us work with our natural rhythms rather than against them. How do you optimize your daily schedule around your circadian patterns?

When digital dangers become real but you aren't ready.... "Hi I'm Laura, your daughter calls me loser Laura..." The young girl stands awkwardly at the doorstep, her wounded expression revealing the pain of cyberbullying. This pivotal moment from New Zealand's "Keep It Real Online" campaign transforms digital harm into physical reality. ↳One in five young Kiwis are bullied online annually. ↳40% have online interactions with people they've never met in real life. The campaign brings digital threats to parents' doorsteps Effective cybersecurity awareness campaigns highlight crucial principles through impactful storytelling. The best way to fight cybercrime is through awareness and prevention, using statistics, stories, and practical tips. Cyberbullying, juvenile access to inappropriate content, and exposure to online violence represent interconnected cybersecurity challenges that require parental vigilance. Key cybersecurity lessons: ↳Digital threats have tangible impacts on vulnerable users, particularly children and young people. ↳Parents and educators need frameworks to initiate difficult conversations about online safety. ↳Education proves more effective than avoidance when addressing digital dangers. Creating a culture of cybersecurity awareness and responsibility involves recognizing positive behavior and discussing best practices. The main goal of effective campaigns is informing audiences about various online threats including malware, identity theft, phishing, and cyberbullying. Individuals can protect personal information by using strong, unique passwords for online accounts. Educational institutions play an essential role in advancing cybersecurity through instruction, public awareness campaigns, and safe IT infrastructure. Digital literacy remains the key to protection in our increasingly connected world. Emotional storytelling drives behavior change by creating powerful connections that statistics simply cannot match. Share your story: ↳Which campaign stopped you in your tracks? ↳How did it trigger an emotional response that influenced your behavior? ↳Why does it still resonate with you today? 👍 LIKE this post, 🔄 REPOST this to your network and follow me, Monica Jasuja

Atlassian has been fully distributed for almost five years. We don’t have all the answers, but we’ve learned a lot about how to keep teams thriving across time zones—and we’re applying those insights every day.  ➡️ Asynchronous work: Async tools are at the core of how we operate. Confluence is our virtual hub where we share stories, celebrate new hires, and collaborate effortlessly. We also use Loom to share videos and give feedback on our own time—avoiding those dreaded “this could have been an email” moments. In fact, we’ve saved nearly half a million meetings using Loom! ➡️ Designing workdays: We’ve learned to structure workdays for focus, collaboration, and meetings (only when absolutely necessary). Teams work across no more than two time zones, ensuring at least four hours of overlap to get things done together. ➡️ Intentional connection: Data shows that real connection happens when teams meet regularly—not sporadically in an office. We provide Intentional Togetherness Gatherings (ITGs), curated experiences, and focused in-person time to collaborate. ➡️ Adapting for different needs: It’s not one-size-fits-all. For example, new hires and grads often benefit from more frequent in-person meetups, so we make sure to offer opportunities for them to connect early on. https://lnkd.in/g2sSbe3v

Louder for the people at the back 🎤 Many organisations today seem to have shifted from being institutions that develop great talent to those that primarily seek ready-made talent. This trend overlooks the immense value of individuals who, despite lacking experience, possess a great attitude, commitment, and a team-oriented mindset. These qualities often outweigh the drawbacks of hiring experienced individuals with a fixed and toxic mindset. The best organisations attract talent with their best years ahead of them, focusing on potential rather than past achievements. Let’s be clear this is more about mindset and willingness to learn and unlearn as apposed to age. To realise the incredible potential return, organisations must commit to creating an environment where continuous development is possible. This requires a multi-faceted approach: 1. Robust Training Programmes: Employers should invest in comprehensive training programmes that equip employees with the necessary skills for their roles. This includes on-the-job training, mentorship programmes, online courses, and workshops. 2. Redefining Hiring Criteria: Organisations should revise their hiring criteria to focus more on candidates’ potential and willingness to learn rather than solely on prior experience or formal qualifications. Behavioural interviews, aptitude tests, and probationary periods can help assess a candidate's ability to learn and adapt. 3. Partnerships with Educational Institutions: Companies can collaborate with educational institutions to design curricula that align with industry needs. Apprenticeship programmes, internships, and cooperative education can bridge the gap between academic learning and practical job skills. 4. Lifelong Learning Culture: Encouraging a culture of lifelong learning within organisations is crucial. Employers should provide ongoing education opportunities and support for professional development. This includes continuous skills assessment and access to resources for upskilling and reskilling. 5. Inclusive Recruitment Practices: Employers should implement inclusive recruitment practices that remove biases and barriers. Blind recruitment, diversity quotas, and targeted outreach programmes can help ensure that diverse candidates are given a fair chance. By implementing these measures, organisations can develop a workforce that is adaptable, innovative, and resilient, ensuring sustainable success and growth.

𝗔𝟮𝗔 (𝗔𝗴𝗲𝗻𝘁-𝘁𝗼-𝗔𝗴𝗲𝗻𝘁) 𝗮𝗻𝗱 𝗠𝗖𝗣 (𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) are two emerging protocols designed to facilitate advanced AI agent systems, but they serve distinct roles and are often used together in modern agentic architectures. 𝗛𝗼𝘄 𝗧𝗵𝗲𝘆 𝗪𝗼𝗿𝗸 𝗧𝗼𝗴𝗲𝘁𝗵𝗲𝗿 Rather than being competitors, 𝗔𝟮𝗔 𝗮𝗻𝗱 𝗠𝗖𝗣 𝗮𝗿𝗲 𝗰𝗼𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗮𝗿𝘆 𝗽𝗿𝗼𝘁𝗼𝗰𝗼𝗹𝘀 that address different layers of the agent ecosystem: • 𝗔𝟮𝗔 is about agents collaborating, delegating tasks, and sharing results across a distributed network. For example, an orchestrating agent might delegate subtasks to specialized agents (analytics, HR, finance) via A2A25. • 𝗠𝗖𝗣 is about giving an agent (often an LLM) structured access to external tools and data. Within an agent, MCP is used to invoke functions, fetch documents, or perform computations as needed.    𝗧𝘆𝗽𝗶𝗰𝗮𝗹 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗘𝘅𝗮𝗺𝗽𝗹𝗲: • A user submits a complex request. • The orchestrating agent uses 𝗔𝟮𝗔 to delegate subtasks to other agents. • One of those agents uses 𝗠𝗖𝗣 internally to access tools or data. • Results are returned via A2A, enabling end-to-end collaboration25.    𝗗𝗶𝘀𝘁𝗶𝗻𝗰𝘁 𝗦𝘁𝗿𝗲𝗻𝗴𝘁𝗵𝘀 • 𝗔𝟮𝗔 𝗲𝘅𝗰𝗲𝗹𝘀 𝗮𝘁:   Multi-agent collaboration and orchestration   Handling complex, multi-domain workflows   Allowing independent scaling and updating of agents   Supporting long-running, asynchronous tasks54 • 𝗠𝗖𝗣 𝗲𝘅𝗰𝗲𝗹𝘀 𝗮𝘁:   Structured tool and data integration for LLMs   Standardizing access to diverse resources   Transparent, auditable execution steps   Single-agent scenarios needing a precise tool    𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗮𝗹 𝗔𝗻𝗮𝗹𝗼𝗴𝘆 • 𝗠𝗖𝗣 is like a 𝘶𝘯𝘪𝘷𝘦𝘳𝘴𝘢𝘭 𝘤𝘰𝘯𝘯𝘦𝘤𝘵𝘰𝘳 (USB-C port) between an agent and its tools/data. • 𝗔𝟮𝗔 is like a 𝘯𝘦𝘵𝘸𝘰𝘳𝘬 𝘤𝘢𝘣𝘭𝘦 connecting multiple agents, enabling them to form a collaborative team.    𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗻𝗱 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆 𝗖𝗼𝗻𝘀𝗶𝗱𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝘀 • 𝗔𝟮𝗔 introduces many endpoints and requires robust authentication and authorization (OAuth2.0, API keys). • 𝗠𝗖𝗣 needs careful sandboxing of tool calls to prevent prompt injection or tool poisoning. Both are built with enterprise security in mind.    𝗜𝗻𝗱𝘂𝘀𝘁𝗿𝘆 𝗔𝗱𝗼𝗽𝘁𝗶𝗼𝗻 • 𝗔𝟮𝗔: Google, Salesforce, SAP, LangChain, Atlassian, Cohere, and others are building A2A-enabled agents. • 𝗠𝗖𝗣: Anthropic (Claude Desktop), Zed, Cursor AI, and tool-based LLM UIs.   Modern agentic systems often combine both: 𝗔𝟮𝗔 𝗳𝗼𝗿 𝗶𝗻𝘁𝗲𝗿-𝗮𝗴𝗲𝗻𝘁 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻, 𝗠𝗖𝗣 𝗳𝗼𝗿 𝗶𝗻𝘁𝗿𝗮-𝗮𝗴𝗲𝗻𝘁 𝘁𝗼𝗼𝗹 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻. This layered approach supports scalable, composable, and secure AI applications.

Let’s talk about hidden disabilities—ADHD, dyslexia, anxiety, and others that don’t meet the eye. Too often, these students are left to struggle because their needs aren’t immediately visible. But here’s the thing: when we ignore those needs, it’s no different from denying someone in a wheelchair access to a ramp. Think about it. Would you expect someone to climb stairs without the tools they need? Of course not. Yet we often expect students with hidden disabilities to navigate education without the accommodations that would level the playing field. It’s not fair, and it’s not right. Accommodations like extra time, clear instructions, or a quiet space aren’t “special treatment.” They’re the difference between drowning and swimming. They’re the tools these students need to show us their potential, not their struggles. I’ve seen the power of a single adjustment. They’re what happens when we meet students where they are. What if we reimagined education as a place where every student feels valued and equipped to succeed? What if we stopped seeing accommodations as “extras” and started recognizing them as essential? Here’s a question for you: Have you seen examples of simple accommodations making a big impact? Or do you think schools are doing enough to support students with hidden disabilities? Let’s share, reflect, and push for better together. Image Courtesy: No Nonsense Neurodivergent #Disability #Accessibility #SDGs #Equity #HumanRights #WeAreBillionStrong ID: Allowing a student with a hidden disability (ADHD, Anxiety, Dyslexia) to struggle academically or socially when all that is needed for success are appropriate accommodations and explicit instruction, is no different than failing to provide a ramp for a person in a wheelchair.

I have a DEI secret… And it’s a big one. Ready? The accommodations I make for my neurodivergent team members… Also benefit my neurotypical team members. Ground breaking, right? 😏 I hear a lot about companies pushing back on accommodations, but I thought I’d show you just a few of the simple things we do here. I’ll use myself as the example, and let you see how it helps everyone. 👉 I like to sit on my legs and fidget in my chair. ✨ So we’ve got comfy chairs, wider than your standard office ones, for everyone. 👉 I regularly forget my breakfast or lunch. ✨ So we keep a fully stocked drinks fridge and snack cupboard. Open to everyone. 👉 Sometimes I find the main office overwhelming when I’m trying to focus. ✨ So we created two quiet workspaces in different rooms. Everyone can use them when it all gets a bit much. 👉 I used to get anxious about calling in sick and having to justify it to my old manager. ✨ Now? Just send a text. No explanations needed. If you say you’re ill, that’s enough. Applies to everyone. 👉 I had a habit of staying too late, sometimes working 3 or 4 hours longer than I should. ✨ So we finish at 4pm. And we mean it. Everyone is made to down tools and heads off. No late-night badge of honour here. I could go on, but you get the idea. There’s really no excuse not to make accommodations for your ND teammates. Because when you do… It makes things better for everyone.

Continuing from last week’s post on the rise of the Voice Stack, there’s an area that today’s voice-based systems often struggle with: Voice Activity Detection (VAD) and the turn-taking paradigm of communication. When communicating with a text-based chatbot, the turns are clear: You write something, then the bot does, then you do, and so on. The success of text-based chatbots with clear turn-taking has influenced the design of voice-based bots, most of which also use the turn-taking paradigm. A key part of building such a system is a VAD component to detect when the user is talking. This allows our software to take the parts of the audio stream in which the user is saying something and pass that to the model for the user’s turn. It also supports interruption in a limited way, whereby if a user insistently interrupts the AI system while it is talking, eventually the VAD system will realize the user is talking, shut off the AI’s output, and let the user take a turn. This works reasonably well in quiet environments. However, VAD systems today struggle with noisy environments, particularly when the background noise is from other human speech. For example, if you are in a noisy cafe speaking with a voice chatbot, VAD — which is usually trained to detect human speech — tends to be inaccurate at figuring out when you, or someone else, is talking. (In comparison, it works much better if you are in a noisy vehicle, since the background noise is more clearly not human speech.) It might think you are interrupting when it was merely someone in the background speaking, or fail to recognize that you’ve stopped talking. This is why today’s speech applications often struggle in noisy environments. Intriguingly, last year, Kyutai Labs published Moshi, a model that had many technical innovations. An important one was enabling persistent bi-direction audio streams from the user to Moshi and from Moshi to the user. If you and I were speaking in person or on the phone, we would constantly be streaming audio to each other (through the air or the phone system), and we’d use social cues to know when to listen and how to politely interrupt if one of us felt the need. Thus, the streams would not need to explicitly model turn-taking. Moshi works like this. It’s listening all the time, and it’s up to the model to decide when to stay silent and when to talk. This means an explicit VAD step is no longer necessary. Just as the architecture of text-only transformers has gone through many evolutions, voice models are going through a lot of architecture explorations. Given the importance of foundation models with voice-in and voice-out capabilities, many large companies right now are investing in developing better voice models. I’m confident we’ll see many more good voice models released this year. [Reached length limit; full text: https://lnkd.in/g9wGsPb2 ]