Her program is part of a company called Prenda, which last year served about 2,000 students across several states. It connects home-school families with microschool leaders who host students, often in their homes. It’s like Airbnb for education, says Prenda’s CEO, because its website allows customers – in this case, parents – to enter their criteria, search and make a match.
An explosion of new options, including Prenda, has transformed home schooling in America. Demand is surging: Hundreds of thousands of children have begun home schooling in the last three years, an unprecedented spike that generated a huge new market. In New Hampshire, for instance, the number of home-schoolers doubled during the pandemic, and even today it remains 40 percent above pre-covid totals.
From DSC: This is another great example of the morphing going on in the PreK-12 learning ecosystem.
VIEW CHILDREN AS ACTIVE LEADERS IN THEIR LEARNING I was co-teaching in an inclusive preschool classroom 20 years ago when I led my first professional development workshop (the project approach). The aim was to show teachers that children could co-construct their learning experiences when they were invited to do so. Two groundbreaking Reggio Emilia books came to mind—Shoe and Meter and Everything Has a Shadow Except Ants. These inspirational books were part of a series published in collaboration with the Italian Ministry of Education called “The Unheard Voice of Children.”
The series recognized children as active leaders of their learning and endeavored to document the process of learning through children’s learning experiences.
Let Kids Make Decisions — from edutopia.org by Sean Cassel An overreliance on rules can backfire. Instead, teachers can focus on providing students with choices and teaching good decision-making skills.
I’ve deeply thought about that last part over the course of my career: Let kids make decisions. Twenty years later, I am a high school administrator tasked with enforcing rules every day. Let me be clear: Schools need rules to function, but they don’t have to be the focus. My school focuses on allowing students to make choices: It is a centerpiece of how we operate. And although kids don’t always make the right choices, often enough they do. An overreliance on rules, in either a classroom or an entire school, can limit the ability of students to grow and develop their decision-making skills.
From DSC: Some nice ideas and tools listed here to start developing relationships even before the first day of school.
An Intentional Approach to Improving Your Teaching Practice — from edutopia.org by Marcus Luther By selecting one area for growth, collecting resources, and connecting with others, teachers can make meaningful improvements in the classroom.
Last summer, my focus was improving the level of inquiry in my classroom. I describe my process below, which transfers to any area or topic on which you might hope to focus your own professional learning.
Setting Up Libraries to Be the Best Space in School— from edutopia.org by Paige Tutt We took a peek inside school libraries across America to see how librarians are reframing the space to support students’ social, emotional, and creative growth—while still prioritizing excellent reads.
The recently renovated library—now known as the Learning Commons—is a bright, spacious multipurpose hub within the school. There are bistro tables where kids can work together; comfortable and flexible seating; a makerspace where students can explore activities like sewing and jewelry making; an audio recording and production studio; and a video production studio where kids can create TikToks or YouTube videos using their phones or school-issued laptops. It’s a far cry from the space it used to be—an attendance sheet from 2008 tracked just 21 students signing into the library one day.
The majority of survey participants report increased student demand for online and hybrid learning juxtaposed with decreased demand for face-to-face courses and programs. Most participants also say that their institutions are aligning or working to align their strategic priorities to meet this demand. Notable findings from the 50+-page report include:
Face-to-Face enrollment is stagnant or declining.
Online and hybrid enrollment is growing.
Institutions are quickly aligning their strategic priorities to meet online/hybrid student demand.
So, as educators, mentors, and guides to our future generations, we must ask ourselves three pivotal questions:
What value do we offer to our students?
What value will they need to offer to the world?
How are we preparing them to offer that value?
The answers to these questions are crucial, and they will redefine the trajectory of our education system.
We need to create an environment that encourages curiosity, embraces failure as a learning opportunity, and celebrates diversity. We need to teach our students how to learn, how to ask the right questions, and how to think for themselves.
Leveraging ChatGPT for learning is the most meaningful skill this year for lifelong learners. But it’s too hard to find resources to master it.
As a learning science nerd, I’ve explored hundreds of prompts over the past months. Most of the advice doesn’t go beyond text summaries and multiple-choice testing.
That’s why I’ve created this article — it merges learning science with prompt writing to help you learn anything faster.
Midjourney AI Art for Teachers (for any kind of teacher, not just Art Teachers) — from The AI Educator on YouTube by Dan Fitzpatrick
From DSC: This is a very nice, clearly illustrated, free video to get started with the Midjourney (text-to-image) app. Nice work Dan!
In the new-normal of generative AI, how does one articulate the value of academic integrity? This blog presents my current response in about 2,500 words; a complete answer could fill a sizable book.
Massive amounts of misinformation are disseminated about generative AI, so the first part of my discussion clarifies what large language models (Chat-GPT and its counterparts) can currently do and what they cannot accomplish at this point in time. The second part describes ways in which generative AI can be misused as a means of learning; unfortunately, many people are now advocating for these mistaken applications to education. The third part describes ways in which large language models (LLM), used well, may substantially improve learning and education. I close with a plea for a robust, informed public discussion about these topics and issues.
Many of the more than a dozen teachers TIME interviewed for this story argue that the way to get kids to care is to proactively use ChatGPT in the classroom.
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Some of those creative ideas are already in effect at Peninsula High School in Gig Harbor, about an hour from Seattle. In Erin Rossing’s precalculus class, a student got ChatGPT to generate a rap about vectors and trigonometry in the style of Kanye West, while geometry students used the program to write mathematical proofs in the style of raps, which they performed in a classroom competition. In Kara Beloate’s English-Language Arts class, she allowed students reading Shakespeare’s Othello to use ChatGPT to translate lines into modern English to help them understand the text, so that they could spend class time discussing the plot and themes.
I found that other developed countries share concerns about students cheating but are moving quickly to use AI to personalize education, enhance language lessons and help teachers with mundane tasks, such as grading. Some of these countries are in the early stages of training teachers to use AI and developing curriculum standards for what students should know and be able to do with the technology.
Several countries began positioning themselves several years ago to invest in AI in education in order to compete in the fourth industrial revolution.
AI in Education— from educationnext.org by John Bailey The leap into a new era of machine intelligence carries risks and challenges, but also plenty of promise
In the realm of education, this technology will influence how students learn, how teachers work, and ultimately how we structure our education system. Some educators and leaders look forward to these changes with great enthusiasm. Sal Kahn, founder of Khan Academy, went so far as to say in a TED talk that AI has the potential to effect “probably the biggest positive transformation that education has ever seen.” But others warn that AI will enable the spread of misinformation, facilitate cheating in school and college, kill whatever vestiges of individual privacy remain, and cause massive job loss. The challenge is to harness the positive potential while avoiding or mitigating the harm.
Generative AI and education futures — from ucl.ac.uk Video highlights from Professor Mike Sharples’ keynote address at the 2023 UCL Education Conference, which explored opportunities to prosper with AI as a part of education.
Bringing AI Literacy to High Schools— from by Nikki Goth Itoi Stanford education researchers collaborated with teachers to develop classroom-ready AI resources for high school instructors across subject areas.
To address these two imperatives, all high schools need access to basic AI tools and training. Yet the reality is that many underserved schools in low-income areas lack the bandwidth, skills, and confidence to guide their students through an AI-powered world. And if the pattern continues, AI will only worsen existing inequities. With this concern top of mind plus initial funding from the McCoy Ethics Center, Lee began recruiting some graduate students and high school teachers to explore how to give more people equal footing in the AI space.
The company is increasingly emphasizing its portfolio of products built around the Canvas LMS, what they call the Instructure Unified Learning Platform. Perhaps the strongest change in message is the increased emphasis on the EdTech Collective, Instructure’s partner ecosystem. In fact, two of the three conference press releases were on the ecosystem – describing the 850 partners as “a larger partner community than any other LMS provider” and announcing a partnership with Khan Academy with its Khanmigo AI-based tutoring and teaching assistant tool (more on generative AI approach below).
The Anthology conference, held from July 17-19, marked the second gathering since Blackboard ceased operating as a standalone company and transformed into a brand for a product line.
What stood out was not just the number of added features but the extent to which these enhancements were driven by customer input. There has been a noticeable shift in how Anthology listens to clients, which had been a historical weakness for Blackboard. This positive change was emphasized not only by Anthology executives, but more importantly by customers themselves, even during unscripted side conversations.
D2L is a slow burn company, and in the past eight years in a good way. The company started working on its move to the cloud, tied to its user experience redesign as Brightspace, in 2014. Five years later, the company’s LMS was essentially all cloud (with one or two client exceptions). More importantly, D2L Brightspace in this time period became fully competitive with Instructure Canvas, winning head-to-head competitions not just due to specialized features but more broadly in terms of general system usability and intuitive design. That multi-year transformation is significant, particularly for a founder-led company.
If we want students to remember – to lock new information or ideas into long-term memory – getting meaningful repetitions still is key. And the science of learning still backs that up.
So … if we want students to get repetitions to make new learning permanent, how can they do it? Here are 10 ways to help students get repetitions for practice – and how classroom technology can help.
In this episode, I share ten engaging activities that combine education, technology, and plenty of fun to make the first week of class super memorable. From digital scavenger hunts to virtual field trips, hear about a few of my favorite ways to create an interactive start to your school year.
Tips for First Week of School Activity Ideas
Establish routines in a fun way.
Provide opportunities for collaboration.
Introduce tech tools that will be used all year.
From DSC: Dr. Burns has a great list of tools/tips/resources in this posting.
Four directions for assessment redesign in the age of generative AI— from timeshighereducation.com by Julia Chen The rise of generative AI has led universities to rethink how learning is quantified. Julia Chen offers four options for assessment redesign that can be applied across disciplines
Direction 1: From written description to multimodal explanation and application
Direction 2: From literature review alone to referencing lectures
Direction 3: From presentation of ideas to defence of views
Direction 4: From working alone to student-staff partnership
With the latest national test results showing a dispiriting lack of progress in catching students up academically in the wake of the pandemic, one potential explanation stands out: stubbornly high rates of student absenteeism. Vast numbers of students haven’t returned to class regularly since schools reopened.
Are we on the frontier of unveiling an unseen revolution in education? The hypothesis is that this quiet upheaval’s importance is far more significant than we imagine. As our world adjusts, restructures, and emerges from a year which launched an era of mass AI, so too does a new academic year dawn for many – with hope and enthusiasm about new roles, titles, or simply just a new mindset. Concealed from sight, however, I believe a significant transformative wave has started and will begin to reshape our education systems and push us into a new stage of innovative teaching practice whether we desire it or not. The risk and hope is that the quiet revolution remains outside the regulator’s and ministries’ purview, which could risk a dangerous fragmentation of education policy and practice, divorced from the actualities of the world ‘in and outside school’.
“This goal can be achieved through continued support for introducing more new areas of study, such as ‘foresight and futures’, in the high school classroom.”
Four directions for assessment redesign in the age of generative AI— from timeshighereducation.com by Julia Chen The rise of generative AI has led universities to rethink how learning is quantified. Julia Chen offers four options for assessment redesign that can be applied across disciplines
Direction 1: From written description to multimodal explanation and application
Direction 2: From literature review alone to referencing lectures
Direction 3: From presentation of ideas to defence of views
Direction 4: From working alone to student-staff partnership
If you are just back from vacation and still not quite sure what to do about AI, let me assure you that you are not the only one. My advice for you today is this: fill your LinkedIn-feed and/or inbox with ideas, inspirational writing and commentary on AI. This will get you up to speed quickly and is a great way to stay informed on the newest movements you need to be aware of.
My personal recommendation for you is to check out these bright people who are all very active on LinkedIn and/or have a newsletter worth paying attention to. I have kept the list fairly short – only 15 people – in order to make it as easy as possible for you to begin exploring.
Understanding the nature of generative AI is crucial for educators to navigate the evolving landscape of teaching and learning. In a new report from the Next Level Lab, Lydia Cao and Chris Dede reflect on the role of generative AI in learning and how this pushes us to reconceptualize our visions of effective education. Though there are concerns of plagiarism and replacement of human jobs, Cao and Dede argue that a more productive way forward is for educators to focus on demystifying AI, emphasizing the learning process over the final product, honoring learner agency, orchestrating multiple sources of motivation, cultivating skills that AI cannot easily replicate, and fostering intelligence augmentation (IA) through building human-AI partnerships.
Have you used chatbots to save time this school year? ChatGPT and generative artificial intelligence (AI) have changed the way I think about instructional planning. Today on the blog, I have a selection of ChatGPT prompts for ELA teachers.
You can use chatbots to tackle tedious tasks, gather ideas, and even support your work to meet the needs of every student. In my recent quick reference guide published by ISTE and ASCD, Using AI Chatbots to Enhance Planning and Instruction, I explore this topic. You can also find 50 more prompts for educators in this free ebook.
Professors Craft Courses on ChatGPT With ChatGPT — from insidehighered.com by Lauren Coffey While some institutions are banning the use of the new AI tool, others are leaning into its use and offering courses dedicated solely to navigating the new technology.
Maynard, along with Jules White at Vanderbilt University, are among a small number of professors launching courses focused solely on teaching students across disciplines to better navigate AI and ChatGPT.
The offerings go beyond institutions flexing their innovation skills—the faculty behind these courses view them as imperative to ensure students are prepared for ever-changing workforce needs.
That’s a solid report card for a freshman in college, a respectable 3.57 GPA. I recently finished my freshman year at Harvard, but those grades aren’t mine — they’re GPT-4’s.
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Three weeks ago, I asked seven Harvard professors and teaching assistants to grade essays written by GPT-4 in response to a prompt assigned in their class. Most of these essays were major assignments which counted for about one-quarter to one-third of students’ grades in the class. (I’ve listed the professors or preceptors for all of these classes, but some of the essays were graded by TAs.)
Here are the prompts with links to the essays, the names of instructors, and the grades each essay received…
The impact that AI is having on liberal-arts homework is indicative of the AI threat to the career fields that liberal-arts majors tend to enter. So maybe what we should really be focused on isn’t, “How do we make liberal-arts homework better?” but rather, “What are jobs going to look like over the next 10–20 years, and how do we prepare students to succeed in that world?”
The great assessment rethink — from timeshighereducation.com by How to measure learning and protect academic integrity in the age of ChatGPT
I get weary of AI hype auto-generated by *gasp* ChatGPT without any real applicability to the classroom. I’m collecting blogs of teachers who are in the classroom actually use AI and have practical, real examples to share. Got links for those teachers? Enough of the junk.
COLORADO SPRINGS, Colo., July 26, 2023 /PRNewswire/ — A new survey of teens conducted for Junior Achievement by the research firm Big Village shows that nearly half of teens (44%) are “likely” to use AI to do their schoolwork instead of doing it themselves this coming school year. However, most teens (60%) consider using AI in this way as “cheating.” The survey of 1,006 13- to 17-year-olds was conducted by Big Village from July 6 through 11, 2023.
From DSC: In a competitive society as we have in the U.S. and when many of our K-12 learning ecosystems are designed to create game players, we shouldn’t be surprised to see a significant amount of our students using AI to “win”/game the system.
As it becomes appropriate for each student, offering more choice and control should help to allow more students to pursue what they want to learn about. They won’t be as interested in gaming the system if they truly want to learn about something.
“Some of the stuff we’re doing is creating templates and workflows that capture multiple feeds: not just the teacher, [but also] the white board, an overhead camera,” Risby says.
“The student can then go in and pick what they look at, so it’s more interactive. You might be watching it the first time to listen to the lecturer, but you might watch the second time to concentrate on the experiment. It makes the stream more valuable.”
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.
The implications of this development are perhaps more significant than we realise. There has been much discussion in recent months about the risks associated with the rise of generative AI for higher education, with most of the discussion centring around the challenge that ChatGPT poses to academic integrity.
However, much less work has been done on exploring the negative – even existential – consequences that might stem from not embracing AI in higher education.Are these new principles enough to reverse the risk of irrelevance?
What if we reimagine “learning” in higher education as something more than the recall and restructuring of existing information? What if instead of lectures, essays and exams we shifted to a model of problem sets, projects and portfolios?
I am often asked what this could look like in practice. If we turn to tried and tested instructional strategies which optimise for learner motivation and mastery, it would look something like this…
Also relevant/see:
Do or Die? — from drphilippahardman.substack.com by Dr. Philippa Hardman The invisible cost of resisting AI in higher education
Excerpt:
Embracing AI in the higher education sector prepares students for the increasingly technology-driven job market and promotes more active, participatory learning experiences which we know lead to better outcomes for both students and employers.
With the rising popularity of alternative education routes such as bootcamps and apprenticeships, it’s crucial for traditional higher education to engage positively with AI in order to maintain its competitiveness and relevance.
DC: Sounds very useful for learning-related items.
“Custom instructions allow you to add preferences or requirements that you’d like ChatGPT to consider when generating its responses.” https://t.co/n0WOJnmDIY
— Daniel Christian (he/him/his) (@dchristian5) July 21, 2023
For example, a teacher crafting a lesson plan no longer has to repeat that they’re teaching 3rd grade science. A developer preferring efficient code in a language that’s not Python – they can say it once, and it’s understood. Grocery shopping for a big family becomes easier, with the model accounting for 6 servings in the grocery list.
Teaching technology There is also the misconception around the word ‘generative’, the assumption that all it does is create blocks of predictable text. Wrong. May of its best uses in learning are its ability to summarise, outline, provide guidance, support and many other pedagogic features that can be built into the software. This works and will mean tutors, teachers, teaching support, not taking support, coaches and many other services will emerge that aid both teaching and learning. They are being developed in their hundreds as we speak.
This simple fact, that this is the first technology to ‘learn’ and learn fast, on scale, continuously, across a range of media and tasks, it what makes it extraordinary.
On holding back the strange AI tide — from oneusefulthing.org by Ethan Mollick There is no way to stop the disruption. We need to channel it instead
And empowering workers is not going to be possible with a top-down solution alone. Instead, consider:
Radical incentives to ensure that workers are willing to share what they learn. If they are worried about being punished, they won’t share. If they are worried they won’t be rewarded, they won’t share. If they are worried that the AI tools that they develop might replace them, or their coworkers, they won’t share. Corporate leaders need to figure out a way to reassure and reward workers, something they are not used to doing.
Empowering user-to-user innovation. Build prompt libraries that help workers develop and share prompts with other people inside the organization. Open up tools broadly to workers to use (while still setting policies around proprietary information), and see what they come up with. Create slack time for workers to develop, and discuss, AI approaches.
Don’t rely on outside providers or your existing R&D groups to tell you the answer. We are in the very early days of a new technology. Nobody really knows anything about the best ways to use AI, and they certainly don’t know the best ways to use it in your company. Only by diving in, responsibly, can you hope to figure out the best use cases.
In recent years, I have witnessed the transformative power of technology in higher education. One particular innovation that has captured my attention is Artificial Intelligence (AI). AI holds tremendous potential as an assistive technology for students with reasonable adjustments in further education (FE) and higher education (HE).
In this comprehensive blog post, I will delve into the multifaceted aspects of AI as an assistive technology, exploring its benefits, considerations, challenges, and the future it holds for transforming higher education.
The integration of AI as an assistive technology can create an inclusive educational environment where all students, regardless of disabilities or specific learning needs, have equal access to educational resources. Real-time transcription services, text-to-speech capabilities, and personalized learning experiences empower students like me to engage with course content in various formats and at our own pace (Fenews, 2023). This not only removes barriers but also fosters a more inclusive and diverse academic community.
What can we do? Here are five considerations I’ll be following this coming fall in response to that nagging “less discussion, more instruction” evaluation.
Courseware Can Be Integral to a Course. Why, Then, Are Students Footing the Bill for It? — from chronicle.com by Taylor Swaak The Homework Tax | For students already struggling to afford college, courseware can add to the burden Their argument is multifold: For one, they say, products like these — which often deliver key elements of a course that an instructor would typically be responsible for, like homework, assessments, and grading — should not be the student’s burden. At least one student advocate said colleges, rather, should cover or subsidize the cost, as they do with software like learning-management systems, if they’re allowing faculty free rein to adopt the products.
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And the fact that students’ access to these products expires — sometimes after just a semester — rubs salt in the wound, and risks further disadvantaging students. .
Institutions aren’t “letting the wolf into the henhouse”; instead, “we’re letting the hens out into a forest of wolves,” said Billy Meinke, an open educational resources technologist with the Outreach College at the University of Hawaii-Manoa who’s done research on publisher misuse of student data. .
Here are five summer reading challenges to learn about the science of learning.
Important: make sure you remember what you learn! Engage yourself in retrieval practice and retrieve two things after each book, practice guide, and research article you read. Share your two things with our communities on Twitter and Facebook, make a list of what you’ve learned to boost your long-term learning,…
Last week, I explored some ways an instructor might want to (or need to) redesign a reading response assignment for the fall, given the many AI text generation tools now available to students. This week, I want to continue that thread with another assignment makeover. Reading response assignments were just the warm up; now we’re tackling the essay assignment.
First, they need to understand that the technological side of AI can no longer be simply left to the information technology experts. Regardless of the professional domain, understanding what AI is, how it works, how the underlying code and algorithms are designed, and what assumptions lie behind the computer code are important components to being able to use and consume the products of AI tools appropriately.
