One of my biggest goals as an educator is to show students how the material they learn in class can be applied to real-world situations. In my finance courses, this often means taking what we’re learning about financial calculations and connecting it to decisions they’ll have to make as adults. For example, I’ve used real-life scenarios like buying a car with a loan, paying off student debt, saving for a wedding, or calculating mortgage payments for a future home purchase. I even use salary data to show students what they could realistically afford given average salaries after graduation, helping them relate to the financial decisions they will face after college.
These practical examples don’t just keep students engaged; they also demonstrate the immediate value of learning financial principles. I often hear students express frustration when they feel like they’re learning concepts that won’t apply to their lives. But when I use real scenarios and provide tools like financial calculators to show them exactly how they’ll use this knowledge in their future, their attitude changes. They become more motivated to engage with the material because they see its relevance beyond the classroom.
This is not your standard back-to-school story, about school supplies or first-day butterflies.
It’s about how school-aged members of Gen Z — that’s 12- to 18-year-olds — are feeling about school and the future. And according to a new national survey, those feelings are a little worrying.
School engagement is down. The middle- and high-schoolers surveyed find school less interesting than they did just last year, and only about half believe they’re being challenged “in a good way.” The problem is especially acute for teens who say they don’t want to go to college right out of high school.
“The conversations that [K-12 schools are] having with middle-schoolers and high-schoolers are predominantly about college,” says Zach Hrynowski, a senior education researcher at Gallup. “Even the kids who are like, ‘I don’t want to go to college,’ what are they hearing the most about? College. We’re not talking to them about apprenticeships, internships, starting a business, entrepreneurial aspirations or jobs that don’t require a college degree.”
The future of career exploration is virtual — from fastcompany.com by Bharani Rajakumar Maximizing our investment and reinvigorating the workforce will take a whole new approach to educating students about the paths that await.
A PUSH TOWARD EXPERIENTIAL LEARNING There is an answer to our narrow-view career exploration, and it starts with experiential learning.
Over the last decade, educational institutions have been reaping the rewards of more engrossing learning experiences. As Independent School magazine wrote a decade ago, when experiential learning was becoming more popular, by setting young people “loose to solve real-world problems, we are helping students find that essential spark not only to build their academic résumés, but also to be creative, caring, capable, engaged human beings.”
Rather than take students on field trips, we have the technology to create extended reality (XR) experiences that take students on a journey of what various careers actually look like in action.
Despite modern technological advancements in classroom tools, many educational settings still center around a traditional model where the teacher is the primary source of information and students passively receive content.
Slowly, learning environments are inviting students to actively participate and take ownership of their learning through collaborative projects, inquiry-based experiences, and real-world problem-solving, thereby transforming traditional educational roles and practices.
How Humans Do (and Don’t) Learn— from drphilippahardman.substack.com by Dr. Philippa Hardman One of the biggest ever reviews of human behaviour change has been published, with some eye-opening implications for how we design & deliver learning experiences
Excerpts (emphasis DSC):
This month, researchers from the University of Pennsylvania publishedone of the biggest ever reviews of behaviour change efforts– i.e. interventions which do (and don’t) lead to behavioural change in humans.
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Research into human behaviour change suggests that, in order to impact capability in real, measurable terms, we need to rethink how we typically design and deliver training.
The interventions which we use most frequently to behaviour change – such as video + quiz approaches and one off workshops – have a negligible impact on measurable changes in human behaviour.
For learning professionals who want to change how their learners think and behave, this research shows conclusively the central importance of:
Shifting attention away from the design of content to the design of context.
Delivering sustained cycles of contextualised practice, support & feedback.
I quickly decided to take a different tack with my students, and instead asked each of them, “What problem in the world do you think you want to solve? If you could go to a school of hunger, poverty, Alzheimer’s disease, mental health … what kind of school would you want to attend?” This is when they started nodding vigorously.
What each of them identified was a grand challenge, or what Stanford d.school Executive Director Sarah Stein Greenberg has called: purpose learning. In a great talk for Wired, Greenberg asks,
What if students declared missions not majors? Or even better, what if they applied to the School of Hunger or the School of Renewable Energy? These are real problems that society doesn’t have answers to yet. Wouldn’t that fuel their studies with some degree of urgency and meaning and real purpose that they don’t yet have today?
Since AI in education has been moving at the speed of light, we built this AI Tools in Education database to keep track of the most recent AI tools in education and the changes that are happening every day. This database is intended to be a community resource for educators, researchers, students, and other edtech specialists looking to stay up to date. This is a living document, so be sure to come back for regular updates.
The day started out with a short talk about AI (slides). Some of it is my usual schtick where I do a bit of Q&A with folks around myths and misunderstandings of generative AI in order to establish some common ground. These are often useful both in setting the tone and giving folks a sense of how I come to explore generative AI: with a mixture of humor, concern, curiosity, and of course, cat pics.
From there, we launched into a series of mini-workshops where folks had time to first play around with some previously created prompts around teaching and learning before moving onto prompts for administrative work. The prompts and other support materials are in this Workshop Resource Document. The goal was to just get them into using one or more AI tools with some useful prompts so they can learn more about its capabilities.
The Edtech Insiders Rundown of ASU+GSV 2024 — from edtechinsiders.substack.com by by Sarah Morin, Alex Sarlin, and Ben Kornell And more on Edtech Insiders+, upcoming events, Gauth, AI Reading Tutors, The Artificial Intelligence Interdisciplinary Institute, and TeachAI Policy Resources
Alex Sarlin
4. Everyone is Edtech Now This year, in addition to investors, entrepreneurs, educators, school leaders, university admins, non-profits, publishers, and operators from countless edtech startups and incumbents, there were some serious big tech companies in attendance like Meta, Google, OpenAI, Microsoft, Amazon, Tiktok, and Canva. Additionally, a horde of management consultancies, workforce organizations, mental health orgs, and filmmakers were in attendance.
Edtech continues to expand as an industry category and everyone is getting involved.
It was such a delight to chat with Ana. She’s brilliant and passionate, a talented educator, and an advocate for better ways of learning for children and adults. We cover ways to transform schools so that students get real-world skills, learn resilience and how to embrace challenges, and are prepared for an unpredictable future. And we go hard on why we must keep learning no matter our age, become generalists, and leverage technology in order to adapt to the fast-changing world.
The Texas Tribune reports an “automated scoring engine” that utilizes natural language processing — the technology that enables chatbots like OpenAI’s ChatGPT to understand and communicate with users — is being rolled out by the Texas Education Agency (TEA) to grade open-ended questions on the State of Texas Assessments of Academic Readiness (STAAR) exams. The agency is expecting the system to save $15–20 million per year by reducing the need for temporary human scorers, with plans to hire under 2,000 graders this year compared to the 6,000 required in 2023.
Debating About AI: An Easy Path to AI Awareness and Basic Literacy — from stefanbauschard.substack.com by Stefan Bauschard If you are an organization committed to AI literacy, consider sponsoring some debate topics and/or debates next year and expose thousands of students to AI literacy.
Resolved: Teachers should integrate generative AI in their teaching and learning.
The topic is simple but raises an issue that students can connect with.
While helping my students prepare and judging debates, I saw students demonstrate an understanding of many key issues and controversies.
These included—
*AI writing assessment/grading
*Bias
*Bullying
*Cognitive load
*Costs of AI systems
*Declining test scores
*Deep fakes
*Differentiation
*Energy consumption
*Hallucinations
*Human-to-human connection
*Inequality and inequity in access
*Neurodiversity
*Personalized learning
*Privacy
*Regulation (lack thereof)
*The future of work and unemployment
*Saving teachers time
*Soft skills
*Standardized testing
*Student engagement
*Teacher awareness and AI training; training resource trade-offs
*Teacher crowd-out
*Transparency and explainability
*Writing detectors (students had an exaggerated sense of the workability of these tools).
There has been a surge in new microschools in the U.S. since the start of the COVID-19 pandemic. The National Microschooling Network estimates there are about 95,000 microschools in the country.The median microschool serves 16 students.
There is no regulatory body solely responsible for tracking microschools, so it is difficult to determine just how much their popularity has grown.
Advocates for microschools say they offer some students — especially those who are gifted or have learning disabilities — a greater chance to thrive academically and socially than traditional schools do.
At Sphinx Academy, a micro-school based in Lexington, Ky., almost all 24 students are “twice exceptional,” meaning they are gifted in one academic area but have one or more learning disabilities like ADHD or dyslexia, according to the school’s director Jennifer Lincoln.
The stakes are high: Students have a lot of academic ground to make up following the pandemic. Yet they’re not fully engaged in the classroom, teachers report in a new national survey.
“Knowing is not enough; we must apply. Willing is not enough; we must do.”
Johann Wolfgang von Goethe
Learning Transfer’s ultimate outcome is behaviour change, so we must understand the conditions that trigger a behaviour to start.
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According to Fogg, three specific elements must converge at the same moment for a specific behaviour to occur. Given that learning transfer is only successful when the learner starts behaving in the desired new ways, Fogg’s work is critical to understanding how to generate these new behaviours. The Fogg Behavioural Model [*1] states that B=MAP. That is, a specific behaviour will occur if at the same moment there is sufficient motivation, sufficient ability and sufficient prompt. If the behaviour does not occur, at least one of these three elements is missing or below the threshold required.
The prompt is, in effect, a call to action to do a specific behaviour. The prompt must be ‘loud’ enough for the target person to perceive it and be consciously aware of it. Once aware of a prompt, the target immediately, and largely unconsciously, assesses their ability to carry out the requested behaviour: how difficult would this be, how long will it take, who can help me, and so on. They base this on their perception of the difficulty of the requested behaviour, and their ability, as they see it, to achieve that behaviour.
The idea was simple: ask sixty community leaders to fan across the city’s public schools, follow in the footsteps of its youngest citizens, and report back on what they saw.
Fifty-nine said yes. What they found, Pickering says, “were kids with dead eyes. Kids not engaged. And kids who knew that school was a game – and the game was rigged.”
So the Billy Madison team used its findings to design a prospective high school that would actually produce what its participants said they wanted to see:
Let kids pursue their passions. Give them real work to do. And get them out of the school building, and in the community.
This thought-provoking discussion delves into the topic of system replacement in education. Is school transformation possible without replacing the existing education system? Joining [Michael] to discuss the question are Thomas Arnett of the Christensen Institute and Kelly Young of Education Reimagined.
In an educational landscape that constantly seeks marginal improvements, [Michael’s] guests speak to the importance of embracing new value networks that support innovative approaches to learning. They bring to light the issue of programs that remain niche solutions, rather than robust, learner-centered alternatives. In exploring the concept of value networks, [Michael’s] guests challenge the notion of transforming individual schools or districts alone. They argue for the creation of a new value network to truly revolutionize the education system. Of course, they admit that achieving this is no small feat, as it requires a paradigm shift in mindset and a careful balance between innovation and existing structures. In this conversation, we wrestle with the full implications of their findings and more.
From DSC: This reminds me of the importance of TrimTab Groups who invent or test out something new apart from the mothership.
The 2023 GEM Report on technology and education explores these debates, examining education challenges to which appropriate use of technology can offer solutions (access, equity and inclusion; quality; technology advancement; system management), while recognizing that many solutions proposed may also be detrimental.
The report also explores three system-wide conditions (access to technology, governance regulation, and teacher preparation) that need to be met for any technology in education to reach its full potential.
Bloom Academy is the first and only self-directed learning center in Las Vegas – microschooling as true, nontraditional and permissionless education alternative. 5 Questions with Microschool Founders Sarah & Yamila.https://t.co/RvxtwGXvkZ
Since last spring, journalists at The 74 have been crossing the U.S. as part of our 2023 High School Road Trip. It has embraced both emerging and established high school models, taking us to 13 schools from Rhode Island to California, Arizona to South Carolina, and in between.
It has brought us face-to-face with innovation, with programs that promote everything from nursing to aerospace to maritime-themed careers.
At each school, educators seem to be asking one key question: What if we could start over and try something totally new?
What we’ve found represents just a small sample of the incredible diversity that U.S. high schools now offer, but we’re noticing a few striking similarities that educators in these schools, free to experiment with new models, now share. Here are the top eight: .
What does it take to empower parents and decentralize schooling? Why is a diversity of school models important to parents? Are we at a tipping point? .
Several meta-analyses, which summarize the evidence from many studies, have found higher achievement when students take quizzes instead of, say, reviewing notes or rereading a book chapter. “There’s decades and decades of research showing that taking practice tests will actually improve your learning,” said David Shanks, a professor of psychology and deputy dean of the Faculty of Brain Sciences at University College London.
Still, many students get overwhelmed during tests. Shanks and a team of four researchers wanted to find out whether quizzes exacerbate test anxiety. The team collected 24 studies that measured students’ test anxiety and found that, on average, practice tests and quizzes not only improved academic achievement, but also ended up reducing test anxiety. Their meta-analysis was published in Educational Psychology Review in August 2023.
The End of Scantron Tests— from theatlantic.com by Matteo Wong Machine-graded bubble sheets are the defining feature of American schools. Today’s kindergartners may never have to fill one out.
There are several possible reasons why pretesting worked in this study.
Students paid more attention to the pretested material during the lecture.
The pretest activated prior knowledge (some of them are clearly doing a lot of prework), and allowed them to encode the new information more deeply.
They were doing a lot of studying of the pretested information outside of class.
There are some great spaced retrieval effects going on. That is, students saw the material before lecture, they took a quiz on it during the pretest, then later they reviewed or quizzed themselves on that same material again during self-study.
So much of the way that we think about education and work is organized into silos. Sure, that’s one way to ensure a depth of knowledge in a field and to encourage learners to develop mastery. But it also leads to domains with strict boundaries. Colleges are typically organized into school sub-domains, managed like fiefdoms, with strict rules for professors who can teach in different schools.
Yet it’s at the intersections of seemingly-disparate domains where breakthrough innovation can occur.
Maybe intersections bring a greater chance of future work opportunity, because that young person can increase their focus in one arena or another as they discover new options for work — and because this is what meaningful work in the future is going to look like.
From DSC: This posting strikes me as an endorsement for interdisciplinary degrees. I agree with much of this. It’s just hard to find the right combination of disciplines. But I supposed that depends upon the individual student and what he/she is passionate or curious about.
A lot of people have been asking if AI is really a big deal for the future of work. We have a new paper that strongly suggests the answer is YES. .
Consultants using AI finished 12.2% more tasks on average, completed tasks 25.1% more quickly, and produced 40% higher quality results than those without. Those are some very big impacts. Now, let’s add in the nuance.
PXU City HS has no physical site — its 83 students create custom programs, choosing from a menu of some 500 options fromPhoenix Union High School District’s bricks-and-mortar schools; its online-only program, internships; jobs; college classes; and career training programs.
But in the process, it became clear just how many high school-aged students were working, caring for siblings, filling in for their parents or significantly behind — or ahead and bored — academically.
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If PXU City works as well for all its students as it does for Dominguez, he adds, every high school in the district ought to throw away the bell schedule and offer a truly personalized education.
There are 10 areas of study students chose from:architectural design, business administration logistics-distribution, computer science, construction technology, cybersecurity, diesel/auto technology, energy technologies, human and social services, teaching and training, and sports medicine.
Students pick a job within the program they’re working toward, but that can change, Cordia said, noting that there are hundreds of possible jobs within the automotive program.
The school received e more than 1,000 applications from interested students, he said, calling it “very humbling.”
Addendum that also involves changes within the K12 learning ecosystem:
DC: Interesting to note the word “feeling” here. I’ve often wondered about the place/role of emotion in learning (both positive & negative).
…“the mental state students are in while learning, representing the intersection of feeling and thinking”. https://t.co/Q1z5zMgmvR
— Daniel Christian (he/him/his) (@dchristian5) July 26, 2023
Related topics from DSC:
Getting someone’s attention
Having the information sink in and mean something to someone
Inspiration
Goal setting
Motivation
Metacognition?
Getting psyched to try something new out!
From DSC: Engaged students do not just absorb content, they try to make meaning of what they study. Engaged learners ***care about*** the subject, ***feel motivated or excited*** to learn, and take ownership of their learning.
ChatGPT Prompts for Learner Motivation — from drphilippahardman.substack.com by Dr. Philippa Hardman Three mega-prompts to motivate your learners like a pro
So, what can we – as educators and creators of ed-tech – do to build our learners’ intrinsic motivation and, in the process, drive both inclusion and achievement?
To help answer this question, I’ve put together a short guide. The guide includes:
A whistle-stop tour of the science of intrinsic motivation.
Three ChatGPT mega-prompts so you can apply the theory to the way you design learning experiences (and, perhaps, ed-tech products) and optimise for intrinsic motivation today.
Even discounting for hyperbole, the release of ChatGPT suggests that we’re at the dawn of an era marked by rapid advances in artificial intelligence, with far-reaching consequences for nearly every facet of society, including higher education. From admissions to assessment, academic integrity to scholarly research, university operations to disappearing jobs, here’s how 12 professors, administrators, and writers answer the question: How will AI change higher education?
We’ve trained a model to achieve a new state-of-the-art in mathematical problem solving by rewarding each correct step of reasoning (“process supervision”) instead of simply rewarding the correct final answer (“outcome supervision”). In addition to boosting performance relative to outcome supervision, process supervision also has an important alignment benefit: it directly trains the model to produce a chain-of-thought that is endorsed by humans.
