The core problem, witnesses at the hearing said, is that teacher-preparation programs treat all teachers—and, by extension, students—the same, asking teachers to be “everything to everybody.”
“The current model of teaching where one teacher works individually with a group of learners in a classroom—or a small box inside of a larger box that we call school—promotes unrealistic expectations by assuming individual teachers working in isolation can meet the needs of all students,” said Greg Mendez, the principal of Skyline High School in Mesa, Ariz.
From DSC: I’ve long thought teacher education programs could and should evolve (that’s why I have a “student teacher/teacher education” category on this blog). For example, they should inform their future teachers about the science of learning and how to leverage edtech/emerging technologies into their teaching methods.
But regardless of what happens in our teacher prep programs, the issues about the current PreK-12 learning ecosystem remain — and THOSE things are what we need to address. Or we will continue to see teachers leave the profession.
Are we straight-jacketing our teachers and administrators by having them give so many standardized tests and then having to teach to those tests? (We should require our legislators to teach in a classroom before they can draft any kind of legislation.)
Do teachers have the joy they used to have? The flexibility they used to have? Do students?
Do students have choice and voice?
etc.
Also, I highlighted the above excerpt because we can’t expect a teacher to do it all. They can’t be everything to everybody. It’s a recipe for burnout and depression. There are too many agendas coming at them.
We need to empower our current teachers and listen very carefully to the changes that they recommend. We should also listen very carefully to what our STUDENTS are recommending as well!
People started discussing what they could do with Notebook LM after Google launched the audio overview, where you can listen to 2 hosts talking in-depth about the documents you upload. Here are what it can do:
Summarization: Automatically generate summaries of uploaded documents, highlighting key topics and suggesting relevant questions.
Question Answering: Users can ask NotebookLM questions about their uploaded documents, and answers will be provided based on the information contained within them.
Idea Generation: NotebookLM can assist with brainstorming and developing new ideas.
Source Grounding: A big plus against AI chatbot hallucination, NotebookLM allows users to ground the responses in specific documents they choose.
…plus several other items
The posting also lists several ideas to try with NotebookLM such as:
Idea 2: Study Companion
Upload all your course materials and ask NotebookLM to turn them into Question-and-Answer format, a glossary, or a study guide.
Get a breakdown of the course materials to understand them better.
“Google’s AI note-taking app NotebookLM can now explain complex topics to you out loud”
With more immersive text-to-video and audio products soon available and the rise of apps like Suno AI, how we “experience” Generative AI is also changing from a chatbot of 2 years ago, to a more multi-modal educational journey. The AI tools on the research and curation side are also starting to reflect these advancements.
1. Upload a variety of sources for NotebookLM to use.
You can use …
websites
PDF files
links to websites
any text you’ve copied
Google Docs and Slides
even Markdown
You can’t link it to YouTube videos, but you can copy/paste the transcript (and maybe type a little context about the YouTube video before pasting the transcript).
2. Ask it to create resources. 3. Create an audio summary. 4. Chat with your sources.
5. Save (almost) everything.
I finally tried out Google’s newly-announced NotebookLM generative AI application. It provides a set of LLM-powered tools to summarize documents. I fed it my dissertation, and am surprised at how useful the output would be.
The most impressive tool creates a podcast episode, complete with dual hosts in conversation about the document. First – these are AI-generated hosts. Synthetic voices, speaking for synthetic hosts. And holy moly is it effective. Second – although I’d initially thought the conversational summary would be a dumb gimmick, it is surprisingly powerful.
4 Tips for Designing AI-Resistant Assessments — from techlearning.com by Steve Baule and Erin Carter As AI continues to evolve, instructors must modify their approach by designing meaningful, rigorous assessments.
As instructors work through revising assessments to be resistant to generation by AI tools with little student input, they should consider the following principles:
Incorporate personal experiences and local content into assignments
Ask students for multi-modal deliverables
Assess the developmental benchmarks for assignments and transition assignments further up Bloom’s Taxonomy
He added that he wants to avoid a global “AI divide” and that Google is creating a $120 million Global AI Opportunity Fund through which it will “make AI education and training available in communities around the world” in partnership with local nonprofits and NGOs.
Google on Thursday announced new updates to its AI note-taking and research assistant, NotebookLM, allowing users to get summaries of YouTube videos and audio files and even create sharable AI-generated audio discussions…
If you’re looking for apps and games that not only keep young kids occupied but also encourage them to explore, learn, and express themselves, we have some great suggestions.
The apps we cover in this guide are good learning apps not because they’re designed to make kids smarter, to drill facts, or to replace in-school learning, but because they each offer something fun, unique, and interesting for kids and adults.
As with our guides to STEM and learning toys, we didn’t test scores of apps to try to find the “best” ones. Rather, most of our favorite apps have been chosen by teachers for their students in classrooms, used by Wirecutter parents and their kids, or recommended by the experts and educators we spoke with.
SATs Have Never Been About Equity — from insidehighered.com by Pepper Stetler The history of the SAT raises questions about how we value and measure intelligence, Pepper Stetler writes.
Excerpts (emphasis DSC):
Even though the overwhelming majority (about 80 percent) of the country’s colleges and universities will remain test optional for the Class of 2029, our national conversation about the role of standardized admissions tests in higher education focuses almost exclusively on elite colleges, whose enrollments represent only 1 percent of students. Such a myopic perspective will do little to increase access to higher education. Real change would require us to reckon with the history of standardized tests and how they have persistently disadvantaged large numbers of students, particularly students of color and students with disabilities.
One hundred years later, academic success is defined as the capacity to do well on a standardized test. It does not just predict a person’s academic ability. It defines academic ability. And those who have the most time and resources to devote to the test are the ones who will succeed.
Trend #1: Schools Are Using Career Technical Education to Increase Student Engagement
Trend #2: Districts Are Looking to Scale Up Tutoring
Trend #3: Virtual Learning Solutions Can Help Address Teacher Shortages
Understood.com | Everyone deserves to be understood Understood is the leading nonprofit empowering the 70 million people with learning and thinking differences in the United States.
Using Classroom Observations for Support as a New Teacher — from edutopia.org by Sunaina Sharma Constructive feedback from colleagues helps new teachers identify areas of strength and growth and develop strategies to achieve their goals.
Stepping into the classroom for the first time as a new teacher can feel like navigating uncharted territory. The mix of excitement and nerves is palpable, and the fear of making mistakes looms large. Amid the whirlwind of lesson planning and classroom management, one often-overlooked opportunity for growth is classroom observations. Approach observations with an open mind and a willingness to learn. Embrace vulnerability as a sign of strength, and use feedback as a springboard for growth.
The first week of school for pre-K to second-grade teachers comes with an ever-evolving list of expectations to teach. Cue Montell Jordan: “This is how we do it…”
The first week is our blank slate, our opportunity to create a foundation to build off of. The earlier we introduce and enforce our expectations, the earlier learning can begin. It’s essential that we teach, model, and role-play each expectation with students, and the more fun we have with it, the more it will stick.
Below are five of my favorite first-week catchphrases that teach clear expectations, which I call the “first week [fun]damentals,” along with how to teach them, the why, and teacher tips to make execution easier.
Your New? Your Better? Your Stronger? — from thebrokencopier.substack.com by Marcus Luther A back-to-school reflection for educators (and my own answers!)
Which is how I arrived at these three questions to ask myself:
What is one thing I want to do new this year?
What is one thing I want to get better at as a teacher?
What is one strength I want to be even stronger?
Three questions that are really three lenses to look forward with and hold myself accountable for:
According to the results of a new survey by Wiley, an increasing number of instructors – along with students – are facing mental health difficulties post-pandemic. And while instructors are aware of the challenges their students are trying to cope with, they’re also feeling the strain, with levels of exhaustion and burnout on the rise. Faced with being asked to do more with less, instructors turn to their family and peers for support. However, as the stigma around mental health lessens many are also seeking out professional help.
Read our report to discover key takeaways from the front lines of the ongoing mental health crisis and explore the implications for instructors, schools, and students alike.
Using Class Discussions as AI-Proof Assessments — from edutopia.org by Kara McPhillips Classroom discussions are one way to ensure that students are doing their own work in the age of artificial intelligence.
I admit it: Grading essays has never topped my list of teaching joys. Sure, the moments when a student finally nails a skill after months of hard work make me shout for joy, startling my nearby colleagues (sorry, Ms. Evans), but by and large, it’s hard work. Yet lately, as generative artificial intelligence (AI) headlines swirl in my mind, a new anxiety has crept into my grading life. I increasingly wonder, am I looking at their hard work?
Do you know when I don’t feel this way? During discussions. A ninth grader wiggling the worn corner of her text, leaning forward with excitement over what she’s cleverly noticed about Kambili, rarely makes me wonder, “Are these her ideas?”
While I’ve always thought discussion is important, AI is elevating that importance. This year, I wonder, how can I best leverage discussion in my classroom?
A quick comment first from DSC: Peter Shea gives us some interesting perspectives here. His thoughts should give many of us fodder for our own further reflection.
This reaction underscores a deeper issue: the resistance to AI in education is not truly about learning. It reflects a reluctance to re-evaluate the traditional roles of educators and to embrace the opportunities AI offers to enhance the learning experience.
…
In order to thrive in the learning ecosystem that will evolve in the Age of AI, the teaching profession needs to do some difficult but essential re-evaluation of their role, in order to better understand where they can provide the best value to learners. This requires confronting some comforting myths and uncomfortable truths.
Problem #2: The Closed World of Academic Culture In addition, many teachers have spent little time working in non-academic professions. This is especially true for college instructors, who must devote five to seven years to graduate education before obtaining their first full-time position, and thus have little time to explore careers outside academia. This common lack of non-academic work experience heightens the anxiety that educators feel when contemplating the potential impact of generative AI on their work lives.
Also see this related posting:
Majority of Grads Wish They’d Been Taught AI in College — from insidehighered.com by Lauren Coffey A new survey shows 70 percent of graduates think generative AI should be incorporated into courses. More than half said they felt unprepared for the workforce.
A majority of college graduates believe generative artificial intelligence tools should be incorporated into college classrooms, with more than half saying they felt unprepared for the workforce, according to a new survey from Cengage Group, an education-technology company.
The survey, released today, found that 70 percent of graduates believe basic generative AI training should be integrated into courses; 55 percent said their degree programs did not prepare them to use the new technology tools in the workforce.
Higher Education Has Not Been Forgotten by Generative AI — from insidehighered.com by Ray Schroeder The generative AI (GenAI) revolution has not ignored higher education; a whole host of tools are available now and more revolutionary tools are on the way.
Some of the apps that have been developed for general use can be customized for specific topical areas in higher ed. For example, I created a version of GPT, “Ray’s EduAI Advisor,” that builds onto the current GPT-4o version with specific updates and perspectives on AI in higher education. It is freely available to users. With few tools and no knowledge of the programming involved, anyone can build their own GPT to supplement information for their classes or interest groups.
Excerpts from Ray’s EduAI Advisor bot:
AI’s global impact on higher education, particularly in at-scale classes and degree programs, is multifaceted, encompassing several key areas:
AI Policy 101: a Beginners’ Framework — from drphilippahardman.substack.com by Dr. Philippa Hardman How to make a case for AI experimentation & testing in learning & development
The role of learning & development
Given these risks, what can L&D professionals do to ensure generative AI contributes to effective learning? The solution lies in embracing the role of trusted learning advisors, guiding the use of AI tools in a way that prioritizes achieving learning outcomes over only speed. Here are three key steps to achieve this:
1. Playtest and Learn About AI… 2. Set the Direction for AI to Be Learner-Centered…
3. Become Trusted Learning Advisors…
In the last year, AI has become even more intertwined with our education system. More teachers, parents, and students are aware of it and have used it themselves on a regular basis. It is all over our education system today.
While negative views of AI have crept up over the last year, students, teachers, and parents feel very positive about it in general. On balance they see positive uses for the technology in school, especially if they have used it themselves.
Most K-12 teachers, parents, and students don’t think their school is doing much about AI, despite its widespread use. Most say their school has no policy on it, is doing nothing to offer desired teacher training, and isn’t meeting the demand of students who’d like a career in a job that will need AI.
The AI vacuum in school policy means it is currently used “unauthorized,” while instead people want policies that encourage AI. Kids, parents, and teachers are figuring it out on their own/without express permission, whereas all stakeholders would rather have a policy that explicitly encourages AI from a thoughtful foundation.
There is much discourse about the rise and prevalence of AI in education and beyond. These debates often lack the perspectives of key stakeholders – parents, students and teachers.
In 2023, the Walton Family Foundation commissioned the first national survey of teacher and student attitudes toward ChatGPT. The findings showed that educators and students embrace innovation and are optimistic that AI can meaningfully support traditional instruction.
A new survey conducted May 7-15, 2024, showed that knowledge of and support for AI in education is growing among parents, students and teachers. More than 80% of each group says it has had a positive impact on education.
Over the past 120 days, we’ve conducted tours of over 50 high schools in more than 1,000 classrooms across various cities including Boston, Dallas, Los Angeles, Northern Colorado, Kansas City, Twin Cities, Pittsburgh, and San Diego. These schools were purposefully selected for their dedication to real world learning, positioning them at the forefront of innovative education. These visits showed schools leading the way into new pathways, active learning methods, and work-based learning initiatives. From our observations at these leading schools, we’ve identified 8 key insights about the state of American high schools.
We are on the brink of a significant transformation in how education qualifications are perceived and valued, thanks to a strategic move by ETS to make Mastery Transcript Consortium (MTC) a subsidiary. This pivotal development marks a shift from traditional metrics of educational success—courses and grades—to a more nuanced representation of student abilities through skills transcripts.
The partnership between ETS and MTC is not just a merger of organizations, but a fusion of visions that aim to recalibrate educational assessment. The collaboration is set to advance “Skills for the Future,” focusing on authentic, dynamic assessment methods that provide clear, actionable insights into student capabilities. This shift away from the century-old Carnegie Unit model, which measures educational attainment by time rather than skill mastery, aims to foster learning environments that prioritize personal growth over time spent in a classroom.
As we move forward, this approach could redefine success in education, making learning experiences more adaptive, equitable, and aligned with the demands of the modern world.
One of the core problems is that education is based on time rather than learning.
We finally have a chance to move courses and grades into the background and foreground powerful personalized learning experiences and capture and communicate the resulting capabilities in much more descriptive ways—and do it at scale
Kockler hypothesizes that the reading struggles of many older students are due in large part to two issues. One has to do with “linguistic difference.” If a child’s family and community speak a variant of English that differs from the kind generally used in books and by teachers—for example, African-American English—it could be harder for them to decode words and connect those words to their meanings.
The Decoding Threshold The other issue has to do with difficulties in decoding multisyllabic words.Kockler points to a couple of large-scale research studies that have identified a “decoding threshold.”
In theory, students’ reading comprehension ability should improve as they advance to higher grade levels—and it often does. But the researchers found that if students are above fourth grade—past the point where they’re likely to get decoding instruction—and their decoding ability is below a certain level, they’re “extremely unlikely [to] make significant progress in reading comprehension in the following years.” The studies, which were conducted in a high-poverty, largely African-American district, found that almost 40% of fifth-graders and 20% of tenth-graders included in the sample fell below the decoding threshold.
The education profession relies on teachers being accessible to their students and families and open to sharing with colleagues. But a little information can be a dangerous thing.
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).
Assessment of Student Learning Is Broken — from insidehighered.com by Zach Justus and Nik Janos And generative AI is the thing that broke it, Zach Justus and Nik Janos write.
Generative artificial intelligence (AI) has broken higher education assessment. This has implications from the classroom to institutional accreditation. We are advocating for a one-year pause on assessment requirements from institutions and accreditation bodies.
… Implications and Options
The data we are collecting right now are literally worthless. These same trends implicate all data gathered from December 2022 through the present. So, for instance, if you are conducting a five-year program review for institutional accreditation you should separate the data from before the fall 2022 term and evaluate it independently. Whether you are evaluating writing, STEM outputs, coding, or anything else, you are now looking at some combination of student/AI work. This will get even more confounding as AI tools become more powerful and are integrated into our existing production platforms like Microsoft Office and Google Workspace.
The burden of adapting to artificial intelligence has fallen to faculty, but we are not positioned or equipped to lead these conversations across stakeholder groups.
Over the past year, many excellent and resourceful books have crossed my desk or Kindle. I’m rounding them up here so you can find a few to expand your horizons. The list below is in alphabetical order by title.
Each book is unique, yet as a collection, they reflect some common themes and trends in Learning and Development: a focus on empathy and emotion, adopting best practices from other fields, using data for greater impact, aligning projects with organizational goals, and developing consultative skills. The authors listed here are optimistic and forward-thinking—they believe change is possible. I hope you enjoy the books.
Teachers are the least empowered, most[-] disrespected, stressed and burned-out of all professions in the U.S. IMAGED CREATED BY DALL-E FOR BRANDON BUSTEED
If your goal was to create a miserable work environment where employees are stressed, burned out, disrespected and given no say in their job just look to U.S. schools for inspiration. They are our ‘best practice of miserable workplaces.’ And if you were looking for one major fix to education in America, you’d do everything in your power to ensure teachers are empowered.
Teacher engagement and empowerment may be the single most important national objective for improving education. Yet years of failed education policy combined with maligned attitudes about teaching have rendered teachers as among the least empowered and most disrespected professions in the country. This is a tragedy of unimaginable proportions. After all, teachers are the gateways to every profession because they are the ones we have tasked with teaching and motivating every young person in the country.
We need to free our teachers to do what they do best – to teach and inspire. Well-intentioned yet failed education policies that have overemphasized standardized testing and driven national and state-level ‘standardized’ curriculum have led to teacher disempowerment.
Putting The Public Back In Education
CommunityShare is an interesting nonprofit organization that has found a way to promote vibrant educational experiences by connecting students and educators to the skills, knowledge, and life experiences of community members.
…
Founded in 2015 in Tucson, Arizona, CommunityShare aims to reimagine the relationship between schools and communities. The organization’s vision is “a world where everyone sees themselves as a learner and educator working together to develop their community’s potential.”
Through CommunityShare, teachers and community partners, from artists to astronauts, co-design enriched learning projects that tap into students’ creativity, cultivate real-world skills, and expose students to available community assets.
An unexpected way to fight chronic absenteeism — from hechingerreport.org by Javeria Salman School districts are having some success with using telemedicine and teletherapy to ensure more kids stay in school
The telemedicine clinic is also a way to relieve the burden on working parents, Oakley said: Many parents in the district’s Title I schools work hourly wage jobs and rely on public transportation, making it difficult to pick up a sick child at school quickly.
Amid ongoing efforts to diversify the K-12 teacher workforce, a United Negro College Fund report finds some historically Black colleges and universities are working to get Black students in the teacher pipeline by tapping into faculty networks, establishing relationships with school districts and using financial aid as a recruitment tool.
Additionally, HBCUs leveraged long-standing connections with their local Black church communities to promote teacher prep programs and financial aid offerings during religious services.
UNCF suggested higher ed institutions develop pipelines for Black educators beginning in high school by offering students opportunities to work with children and then maintaining relationships with them through their matriculation into college and eventual completion of a teacher certification.
1. Students are starting to make up for missed learning
From spring 2022 to spring 2023, students made important learning gains, making up for about one-third of the learning they had missed in math and a quarter of the learning they had missed in reading during the pandemic.
2. Despite that progress, very few states are back to pre-pandemic learning levels
Parents want a choice when it comes to their children’s education.
A new report published by The National School Choice Awareness Foundation reveals that 72% of parents considered new schools for their children in 2023 — a massive 35% increase from 2022. Additionally, more than 70% of parents in nearly every state support the implementation of school choice policies.
This momentum has caught the attention of state legislatures across the country.
Today, intrepid educators continue to try to make change within the traditional schooling system, but increasingly entrepreneurial teachers and parents are working outside the system to create innovative, accessible K-12 learning models that push beyond the four walls of a conventional classroom—literally and figuratively.
One such program is Revolution School, a private, accredited high school located in a downtown office building in Philadelphia that draws students from more than 25 zip codes across the city.
Revolution School focuses on meaningful internships where students, known as “Rev-terns,” partner with local businesses to learn workplace skills and gain valuable experience. Students also take advantage of dual enrollment opportunities at the nearby Community College of Philadelphia, accumulating college credits while being mentored by Revolution School teachers.
Chronic absenteeism has surged across the country since the pandemic, with more than one out of four students missing at least 18 days of school a year. That’s more than three lost weeks of instruction a year for more than 10 million school children. An even higher percentage of poor students, more than one out of three, are chronically absent.
Nat Malkus, a senior fellow at the American Enterprise Institute, a conservative think tank, calls chronic absenteeism – not learning loss – “the greatest challenge for public schools.” At a Feb. 8, 2024 panel discussion, Malkus said, “It’s the primary problem because until we do something about that, academic recovery from the pandemic, which is significant, is a pipe dream.”
You’re a teacher who wants to integrate AI into your teaching. What do you do? I often get asked how should I start with AI in my school or University. This, I think, is one answer.
Continuity with teaching
One school has got this exactly right in my opinion. Meredith Joy Morris has implemented ChatGPT into the teaching process. The teacher does their thing and the chatbot picks up where the teacher stops, augmenting and scaling the teaching and learning process, passing the baton to the learners who carry on.This gives the learner a more personalised experience, encouraging independent learning by using the undoubted engagement that 1:1 dialogue provides.
There’s no way any teacher can provide this carry on support with even a handful of students, never mind a class of 30 or a course with 100. Teaching here is ‘extended’ and ‘scaled’ by AI. The feedback from the students was extremely positive.
The transition which AI forces me to make is no longer to evaluate writings, but to evaluate writers. I am accustomed to grading essays impersonally with an objective rubric, treating the text as distinct from the author and commenting only on the features of the text. I need to transition to evaluating students a bit more holistically, as philosophers – to follow along with them in the early stages of the writing process, to ask them to present their ideas orally in conversation or in front of their peers, to push them to develop the intellectual virtues that they will need if they are not going to be mastered by the algorithms seeking to manipulate them. That’s the sort of development I’ve meant to encourage all along, not paragraph construction and citation formatting. If my grading practices incentivize outsourcing to a machine intelligence, I need to change my grading practices.
[Bryan Alexander] There’s a crying need for faculty and staff professional development about generative AI. The topic is complicated and fast moving. Already the people I know who are seriously offering such support are massively overscheduled. Digital materials are popular. Books are lagging but will gradually surface. I hope we see more academics lead more professional development offerings.
For an academic institution to take emerging AI seriously it might have to set up a new body. Present organizational nodes are not necessarily a good fit.
When Satya Nitta worked at IBM, he and a team of colleagues took on a bold assignment: Use the latest in artificial intelligence to build a new kind of personal digital tutor.
This was before ChatGPT existed, and fewer people were talking about the wonders of AI. But Nitta was working with what was perhaps the highest-profile AI system at the time, IBM’s Watson. That AI tool had pulled off some big wins, including beating humans on the Jeopardy quiz show in 2011.
Nitta says he was optimistic that Watson could power a generalized tutor, but he knew the task would be extremely difficult. “I remember telling IBM top brass that this is going to be a 25-year journey,” he recently told EdSurge.
What are the advantages of AI in education? Canva’s study found 78 percent of teachers are interested in using AI education tools, but their experience with the technology remains limited, with 93 percent indicating they know “a little” or “nothing” about it – though this lack of experience hasn’t stopped teachers quickly discovering and considering its benefits:
60 percent of teachers agree it has given them ideas to boost student productivity
59 percent of teachers agree it has cultivated more ways for their students to be creative
56 percent of teachers agree it has made their lives easier
…
When looking at the ways teachers are already using generative artificial intelligence, the most common uses were:
Washington state issued new guidelines for K-12 public schools last week based on the principle of “embracing a human-centered approach to AI,” which also embraces the use of AI in the education process. The state’s Superintendent of Public Instruction, Chris Reykdal, commented in a letter accompanying the new guidelines:
Giving educators time back to invest in themselves and their students
Boost productivity and creativity with Duet AI: Educators can get fresh ideas and save time using generative AI across Workspace apps. With Duet AI, they can get help drafting lesson plans in Docs, creating images in Slides, building project plans in Sheets and more — all with control over their data.