AI Resources and Teaching | Kent State University offers valuable resources for educators interested in incorporating artificial intelligence (AI) into their teaching practices. The university recognizes that the rapid emergence of AI tools presents both challenges and opportunities in higher education.
The AI Resources and Teaching page provides educators with information and guidance on various AI tools and their responsible use within and beyond the classroom. The page covers different areas of AI application, including language generation, visuals, videos, music, information extraction, quantitative analysis, and AI syllabus language examples.
For all its jaw-dropping power, Watson the computer overlord was a weak teacher. It couldn’t engage or motivate kids, inspire them to reach new heights or even keep them focused on the material — all qualities of the best mentors.
It’s a finding with some resonance to our current moment of AI-inspired doomscrolling about the future of humanity in a world of ascendant machines. “There are some things AI is actually very good for,” Nitta said, “but it’s not great as a replacement for humans.”
His five-year journey to essentially a dead-end could also prove instructive as ChatGPT and other programs like it fuel a renewed, multimillion-dollar experiment to, in essence, prove him wrong.
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To be sure, AI can do sophisticated things such as generating quizzes from a class reading and editing student writing. But the idea that a machine or a chatbot can actually teach as a human can, he said, represents “a profound misunderstanding of what AI is actually capable of.”
Nitta, who still holds deep respect for the Watson lab, admits, “We missed something important. At the heart of education, at the heart of any learning, is engagement. And that’s kind of the Holy Grail.”
From DSC: This is why the vision that I’ve been tracking and working on has always said that HUMAN BEINGS will be necessary — they are key to realizing this vision. Along these lines, here’s a relevant quote:
Another crucial component of a new learning theory for the age of AI would be the cultivation of “blended intelligence.” This concept recognizes that the future of learning and work will involve the seamless integration of human and machine capabilities, and that learners must develop the skills and strategies needed to effectively collaborate with AI systems. Rather than viewing AI as a threat to human intelligence, a blended intelligence approach seeks to harness the complementary strengths of humans and machines, creating a symbiotic relationship that enhances the potential of both.
Per Alexander “Sasha” Sidorkin, Head of the National Institute on AI in Society at California State University Sacramento.
Overview of 2023 Findings
Despite our understanding of the value of higher education, perceptions among these audiences make it clear that institutions need to prove their value to them. In particular, why does the value of a 2-year or 4-year degree outweigh the value of credentials and job training programs? Both High Schoolers and Non-Enrollees see and select other paths that are shorter, cheaper, and/or more directly linked to specific job opportunities.
As part of that effort, these audiences want and need supports throughout their college journeys to reach the destination of acquiring a degree. These audiences feel anxious about making the wrong choices when it comes to college, and that those choices will impact the rest of their lives. Finally, it is also important to understand that the information received by these audiences differs by cohort. High Schoolers are at the epicenter of the college information network. Non-Enrollees, on the other hand, are forced to seek information about colleges, and the information they find tends to be less positive compared to what High Schoolers receive and consume about higher education.
Higher Education Must Prove Value to Potential Students, Who are Currently More Attracted to Immediate, Lower-Cost Options
After engaging in a policy review and coding a set of policy documents from disability service offices at colleges and universities across the U.S., it became clear to me that I wasn’t alone in my reluctance to seek accommodations at my college. It turns out that many higher education students with disabilities are hesitant to self-identify and pursue accommodations that could support them in their studies.
According to the most recent data published by the National Center for Education Statistics, about 20 percent of undergraduate students and nearly 11 percent of graduate students have a disability. There’s a discrepancy though, between the rate of students reporting having a disability, and those who are actually registering with their campus disability center. It turns out many students don’t inform their colleges of their disability and that has led to a support gap.The truth is, too many college and university students with disabilities decide to forgo a request for the accommodations that they may need to be successful.
What about course videos? Professors can create them (by lecturing into a camera for several hours hopefully in different clothes) from the readings, from their interpretations of the readings, from their own case experiences – from anything they like. But now professors can direct the creation of the videos by talking – actually describing – to a CustomGPTabout what they’d like the video to communicate with their or another image. Wait. What?They can make a video by talking to a CustomGPT and even select the image they want the “actor” to use? Yes. They can also add a British accent and insert some (GenAI-developed) jokes into the videos if they like. All this and much more is now possible. This means that a professor can specify how long the video should be, what sources should be consulted and describe the demeanor the professor wants the video to project.
From DSC: Though I wasn’t crazy about the clickbait type of title here, I still thought that the article was solid and thought-provoking. It contained several good ideas for using AI.
Excerpt from a recent EdSurge Higher Ed newsletter:
There are darker metaphors though — ones that focus on the hazards for humanity of the tech. Some professors worry that AI bots are simply replacing hired essay-writers for many students, doing work for a student that they can then pass off as their own (and doing it for free).
From DSC: Hmmm…the use of essay writers was around long before AI became mainstream within higher education. So we already had a serious problem where students didn’t see the why in what they were being asked to do. Some students still aren’t sold on the why of the work in the first place. The situation seems to involve ethics, yes, but it also seems to say that we haven’t sold students on the benefits of putting in the work. Students seem to be saying I don’t care about this stuff…I just need the degree so I can exit stage left.
My main point: The issue didn’t start with AI…it started long before that.
This financial stagnation is occurring as we face a multitude of escalating challenges. These challenges include but are in no way limited to, chronic absenteeism, widespread student mental health issues, critical staff shortages, rampant classroom behavior issues, a palpable sense of apathy for education in students, and even, I dare say, hatred towards education among parents and policymakers.
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Our current focus is on keeping our heads above water, ensuring our students’ safety and mental well-being, and simply keeping our schools staffed and our doors open.
What is Ed? An easy-to-understand learning platform designed by Los Angeles Unified to increase student achievement. It offers personalized guidance and resources to students and families 24/7 in over 100 languages.
Also relevant/see:
Los Angeles Unified Bets Big on ‘Ed,’ an AI Tool for Students — from by Lauraine Langreo
The Los Angeles Unified School District has launched an AI-powered learning tool that will serve as a “personal assistant” to students and their parents.The tool, named “Ed,” can provide students from the nation’s second-largest district information about their grades, attendance, upcoming tests, and suggested resources to help them improve their academic skills on their own time, Superintendent Alberto Carvalho announced March 20. Students can also use the app to find social-emotional-learning resources, see what’s for lunch, and determine when their bus will arrive.
Could OpenAI’s Sora be a big deal for elementary school kids?— from futureofbeinghuman.com by Andrew Maynard Despite all the challenges it comes with, AI-generated video could unleash the creativity of young children and provide insights into their inner worlds – if it’s developed and used responsibly
Like many others, I’m concerned about the challenges that come with hyper-realistic AI-generated video. From deep fakes and disinformation to blurring the lines between fact and fiction, generative AI video is calling into question what we can trust, and what we cannot.
And yet despite all the issues the technology is raising, it also holds quite incredible potential, including as a learning and development tool — as long as we develop and use it responsibly.
I was reminded of this a few days back while watching the latest videos from OpenAI created by their AI video engine Sora — including the one below generated from the prompt “an elephant made of leaves running in the jungle”
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What struck me while watching this — perhaps more than any of the other videos OpenAI has been posting on its TikTok channel — is the potential Sora has for translating the incredibly creative but often hard to articulate ideas someone may have in their head, into something others can experience.
Can AI Aid the Early Education Workforce? — from edsurge.com by Emily Tate Sullivan During a panel at SXSW EDU 2024, early education leaders discussed the potential of AI to support and empower the adults who help our nation’s youngest children.
While the vast majority of the conversations about AI in education have centered on K-12 and higher education, few have considered the potential of this innovation in early care and education settings.
At the conference, a panel of early education leaders gathered to do just that, in a session exploring the potential of AI to support and empower the adults who help our nation’s youngest children, titled, “ChatECE: How AI Could Aid the Early Educator Workforce.”
Hau shared that K-12 educators are using the technology to improve efficiency in a number of ways, including to draft individualized education programs (IEPs), create templates for communicating with parents and administrators, and in some cases, to support building lesson plans.
Educators are, perhaps rightfully so, cautious about incorporating AI in their classrooms. With thoughtful implementation, however, AI image generators, with their ability to use any language, can provide powerful ways for students to engage with the target language and increase their proficiency.
While AI offers numerous benefits, it’s crucial to remember that it is a tool to empower educators, not replace them. The human connection between teacher and student remains central to fostering creativity, critical thinking, and social-emotional development. The role of teachers will shift towards becoming facilitators, curators, and mentors who guide students through personalized learning journeys. By harnessing the power of AI, educators can create dynamic and effective classrooms that cater to each student’s individual needs. This paves the way for a more engaging and enriching learning experience that empowers students to thrive.
In this article, seven teachers across the world share their insights on AI tools for educators. You will hear a host of varied opinions and perspectives on everything from whether AI could hasten the decline of learning foreign languages to whether AI-generated lesson plans are an infringement on teachers’ rights. A common theme emerged from those we spoke with: just as the internet changed education, AI tools are here to stay, and it is prudent for teachers to adapt.
Even though it’s been more than a year since ChatGPT made a big splash in the K-12 world, many teachers say they are still not receiving any training on using artificial intelligence tools in the classroom.
More than 7 in 10 teachers said they haven’t received any professional development on using AI in the classroom, according to a nationally representative EdWeek Research Center survey of 953 educators, including 553 teachers, conducted between Jan. 31 and March 4.
From DSC: This article mentioned the following resource:
What if, for example, the corporate learning system knew who you were and you could simply ask it a question and it would generate an answer, a series of resources, and a dynamic set of learning objects for you to consume? In some cases you’ll take the answer and run. In other cases you’ll pour through the content. And in other cases you’ll browse through the course and take the time to learn what you need.
And suppose all this happened in a totally personalized way. So you didn’t see a “standard course” but a special course based on your level of existing knowledge?
This is what AI is going to bring us. And yes, it’s already happening today.
One problem, of course, is that it’s prohibitively expensive to hire a tutor for every average or struggling student, or even one for every two or three of them. This was the two-sigma “problem” that Bloom alluded to in the title of his essay: how can the massive benefits of tutoring possibly be scaled up? Both Khan and Zuckerberg have argued that the answer is to have computers, maybe powered by artificial intelligence, serve as tutors instead of humans.
From DSC: I’m hoping that AI-backed learning platforms WILL help many people of all ages and backgrounds. But I realize — and appreciate what Natalie is saying here as well — that human beings are needed in the learning process (especially at younger ages).
But without the human element, that’s unlikely to be enough. Students are more likely to work hard to please a teacher than to please a computer.
Natalie goes on to talk about training all teachers in cognitive science — a solid idea for sure. That’s what I was trying to get at with this graphic: .
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But I’m not as hopeful in all teachers getting trained in cognitive science…as it should have happened (in the Schools of Education and in the K12 learning ecosystem at large) by now. Perhaps it will happen, given enough time.
And with more homeschooling and blended programs of education occurring, that idea gets stretched even further.
Parents are looking for a different kind of education for their children.A 2024 poll of parents reveals that 72% are considering, 63% are searching for, and 44% have selected a new K-12 school option for their children over the past few years. So, what type of education are they seeking?
Additional polling data reveals that 49% of parents would prefer their child learn from home at least one day a week.While 10% want full-time homeschooling, the remaining 39% of parents desire their child to learn at home one to four days a week, with the remaining days attending school on-campus. Another parent poll released this month indicates that an astonishing 64% of parents indicated that if they were looking for a new school for their child, they would enroll him or her in a hybrid school.
Accenture announced today that it would acquire the learning platform Udacity as part of an effort to build a learning platform focused on the growing interest in AI. While the company didn’t specify how much it paid for Udacity, it also announced a $1 billion investment in building a technology learning platform it’s calling LearnVantage.
“The rise of generative AI represents one of the most transformative changes in how work gets done and is driving a growing need for enterprises to train and upskill people in cloud, data and AI as they build their digital core and reinvent their enterprises,” Kishore Durg, global lead of Accenture LearnVantage said in a statement.
Affordability and Microcredentials — from the-job.beehiiv.com by Paul Fain Cutting costs for short-term credentials with course sharing and, perhaps, federal money.
‘Bespoke, e-Commerce-Enabled Storefronts’
Demand for nondegree credentials has risen. But it can be expensive and tricky for colleges to create their own workforce-relevant courses and certifications. Homegrown microcredentials also may be more likely to fall flat with students and employers, particularly in competition with professional certificates from big brands like Salesforce or AWS.
Acadeum, an online course-sharing company, is betting that a networked marketplace will be a better option for its 460 college and university partners, which include a growing number of community colleges. Beginning last month, those colleges can tap into 380+ online certificates, certifications, and skills-training courses.
“Skills Marketplace lowers the barrier of entry for institutions to self-select only the certifications that align their program offerings to meet student and workforce demand,” says David Daniels, Acadeum’s president and CEO.
From DSC: This would be huge for all of our learning ecosystems, as the learning agents could remember where a particular student or employee is at in terms of their learning curve for a particular topic.
Why are we doing this work? Over the past two years, the U.S. Department of Education has been committed to maintaining an ongoing conversation with educators, students, researchers, developers — and the educational community at large — related to the continuous progress of Artificial Intelligence (AI) development and its implications for teaching and learning.
Many educators are seeking resources clarifying what AI is and how it will impact their work and their students. Similarly, developers of educational technology (“edtech”) products seek guidance on what guardrails exist that can support their efforts. After the release of our May 2023 report Artificial Intelligence and the Future of Teaching and Learning, we heard the desire for more.
Moving from reaction to action, higher education stakeholders are currently exploring the opportunities afforded by AI for teaching, learning, and work while maintaining a sense of caution for the vast array of risks AI-powered technologies pose. To aid in these efforts, we present this inaugural EDUCAUSE AI Landscape Study, in which we summarize the higher education community’s current sentiments and experiences related to strategic planning and readiness, policies and procedures, workforce, and the future of AI in higher education.
Educational administrators should not worry about every AI development, but should, instead focus on the big picture, as those big picture changes will change the entire world and the educational system.
AI and related technologies (robotics, synthetic biology, and brain-computer interfaces) will continue to impact society and the entire educational system over the next 10 years. This impact on the system will be greater than anything that has happened over the last 100 years, including COVID-19, as COVID-19 eventually ended and the disruptive force of these technologies will only continue to develop.
AI is the bull in the China Shop, redefining the world and the educational system. Students writing a paper with AI is barely a poke in the educational world relative to what is starting to happen (active AI teachers and tutors; AI assessment; AI glasses; immersive learning environments; young students able to start their own business with AI tools; AIs replacing and changing jobs; deep voice and video fakes; intelligence leveling; individualized instruction; interactive and highly intelligent computers; computers that can act autonomously; and more).
The scammers used digitally recreated versions of an international company’s Chief Financial Officer and other employees to order $25 million in money transfers during a video conference call containing just one real person.
The victim, an employee at the Hong Kong branch of an unnamed multinational firm, was duped into taking part in a video conference call in which they were the only real person – the rest of the group were fake representations of real people, writes SCMP.
As we’ve seen in previous incidents where deepfakes were used to recreate someone without their permission, the scammers utilized publicly available video and audio footage to create these digital versions.
Since we launched Bard last year, people all over the world have used it to collaborate with AI in a completely new way — to prepare for job interviews, debug code, brainstorm new business ideas or, as we announced last week, create captivating images.
Our mission with Bard has always been to give you direct access to our AI models, and Gemini represents our most capable family of models. To reflect this, Bard will now simply be known as Gemini.
A new way to discover places with generative AI in Maps— from blog.google by Miriam Daniel; via AI Valley Here’s a look at how we’re bringing generative AI to Maps — rolling out this week to select Local Guides in the U.S.
Today, we’re introducing a new way to discover places with generative AI to help you do just that — no matter how specific, niche or broad your needs might be. Simply say what you’re looking for and our large-language models (LLMs) will analyze Maps’ detailed information about more than 250 million places and trusted insights from our community of over 300 million contributors to quickly make suggestions for where to go.
Starting in the U.S., this early access experiment launches this week to select Local Guides, who are some of the most active and passionate members of the Maps community. Their insights and valuable feedback will help us shape this feature so we can bring it to everyone over time.
Google Prepares for a Future Where Search Isn’t King — from wired.com by Lauren Goode CEO Sundar Pichai tells WIRED that Google’s new, more powerful Gemini chatbot is an experiment in offering users a way to get things done without a search engine. It’s also a direct shot at ChatGPT.
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
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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.
Any university lecturer will tell you that luring students to a morning lecture is an uphill struggle. But even the most hungover fresher would surely be enticed by a physics lesson from Albert Einstein or a design masterclass from Coco Chanel.
This could soon be the reality for British students, as some universities start to beam in guest lecturers from around the globe using the same holographic technology that is used to bring dead or retired singers back to the stage.
Today, we’re announcing the next wave of AI innovations from Microsoft Education that will help unlock productivity and personalize learning. This includes expanded Copilot for Microsoft 365 availability and Loop coming to education. We’re also sharing news about AI built for education such as Reading Coach and features designed to free up time for educators and personalize learning. As part of our continued work to build AI literacy, we’ve launched our latest course for educators and a new learning path on Microsoft Learn. And earlier this week we outlined Microsoft’s position and themes for policymakers to consider around advancing youth online safety and wellness.
With the latest AI technology, we have an opportunity to provide learners with personalized, engaging, and transformative reading experiences. Reading Coach, aLearning Acceleratornow powered by generative AI, does just that. You can sign up for a preview of Reading Coach today and try it for yourself atcoach.microsoft.com.
Last week, CETL partnered with the Department of Writing and Rhetoric to offer a second iteration of the AI Institute for Teachers to an audience of UM instructors from across disciplines. Nearly 60 faculty from 26 different departments and schools attended the three-day event. In a wide variety of interactive sessions designed by Institute leader Marc Watkins, participants examined the impact of generative AI on teaching and learning, working in small groups to consider how to approach AI in their own disciplines.
If you’re not a UM faculty member or couldn’t attend the sessions, we have good news! All the materials from the Institute are publicly available at the following links:
Rather than try to ban this technology from classrooms outright, the Learning With AI project asks if this moment offers an opportunity to introduce students to the ethical and economic questions wreaked by these new tools, as well as to experiment with progressive forms of pedagogy that can exploit them.
Self-directed and continuous learning
The concept of self-directed and continuous learning is becoming increasingly popular, reshaping our approach to knowledge and skill acquisition in both formal education and workplace settings. This evolving landscape reflects a world where traditional career paths are being replaced by more dynamic and flexible models, compelling learners to adapt and grow continuously.
The Future of Learning Report 2022 highlights this shift, noting the diminishing concept of a ‘career for life.’ With regular job switching and the expansion of the gig economy, there is an increasing need for a workforce equipped with a broad range of skills and the ability to gain qualifications throughout their careers. This shift is underlined by learners increasingly seeking control over their educational journeys, understanding that the ongoing acquisition of knowledge and skills is essential for staying relevant in the rapidly changing world of work. Reflecting this trend, a significant portion of learners, 33%, are choosing online platforms for their flexibility and ability to cater to individual needs and schedules.
From DSC: The next paragraph after the above excerpt says:
Much like how companies such as Uber and Airbnb have reshaped their respective industries without owning traditional assets, the future of education might see universities functioning as the ‘Netflix of learning.’ In this model, learners comfortably source their educational experiences from various platforms, assembling their qualifications to create a personalised and continuously evolving portfolio of skills??.
But I don’t think it will be universities that function as the “Netflix of learning” as I don’t think the cultures of most institutions of traditional higher education can deal with that kind of innovation. I hope I’m wrong.
I think it will be a new, global, lifelong learning platform that originates outside of higher education. It will be bigger than higher education, K12, corporate training, or vocational training — as such a 21st-century, AI-based platform will offer all of the above and more.
Real progress in efforts to increase mobility for nondegree workers is unlikely during the next couple years, Joseph Fuller, a professor at Harvard University’s business school who co-leads its Managing the Future of Work initiative, recently told me.
Yet Fuller is bullish on skills-based hiring becoming a real thing in five to 10 years. That’s because he predicts that AI will create the data to solve the skills taxonomy problem Kolko describes. And if skills-based hiring allows for serious movement for workers without bachelor’s degrees, Fuller says the future will look like where Texas is headed.
While the majority of colleges focused on online, professional and continuing education have embraced alternative credentials, a significant number of those institutions haven’t made them a strategic priority.
That’s one of the key takeaways from a new study released Monday by UPCEA, the organization previously known as the University Professional and Continuing Education Association. University Professional and Continuing Education Association.
“While a lot of institutions want this, they don’t necessarily all know how” to deliver alternative credentials, said Bruce Etter, UPCEA’s senior director of research and consulting. “Embracing it is great, but now it needs to be part of the strategic plan.”
North Carolina’s Community Colleges Make a Big Bid to Stay Relevant — from workshift.opencampusmedia.org by Margaret Moffett The system is poised to ask state legislators to overhaul its funding formula to focus on how well colleges prepare students for high-demand, well-paying jobs.
The new formula would pay a premium to each college based on labor-market outcomes: the more students enrolled in courses in high-demand, high-paying workforce sectors, the more money the college receives.
Importantly, the proposed formula makes no distinction between curricular courses that count toward degree programs and noncredit continuing education classes, which historically offer fewer slots for students because of their lower FTE reimbursement rates.
The American job market is changing. A high school diploma is no longer a ticket to a good job now, an increasing number of employers are offering “middle-skill jobs” that require more than a high school diploma but less than a bachelor’s degree. Industries like health care, IT, advanced manufacturing, and financial services continue to see sustained growth at all levels, and they need workers with the experience and the credentials to fill new positions. Bloomberg Philanthropies is investing in programs that help young people get the specialized training they need through internships, apprenticeships, academics, and work-based learning.
The Emerging Role of Smart TVs Boothe and Comiskey claim that our TVs will become even smarter and better connected to the web and the internet. Our TVs will become an intelligent center for a variety of applications powered through our smartphone. TVs will be able to direct things like appliances and security cameras. Perhaps even more importantly, our TVs can become e-commerce centers, allowing us to speak with them and conduct business.
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This increased TV capability means that the TV could become a more dominant mode of working and computing for lawyers. As TVs become more integrated with the internet and capable of functioning as communication hubs, they could potentially replace traditional computing devices in legal settings. With features like voice control and pattern recognition, TVs could serve as efficient tools for such things as document preparation and client meetings.
From DSC: Now imagine the power of voice-enabled chatbots and the like. We could be videoconferencing (or holograming) with clients, and be able to access information at the same time. Language translation — like that in the Timekettle product — will be built in.
As we step into 2024, the legal industry continues to be reshaped by technological advancements. This year promises to bring new developments that could revolutionize how legal professionals work and interact with clients. Here are key predictions for legal tech in 2024:
Last Friday was Legaltech Week’s year-end show, in which our panel of journalists and bloggers picked the year’s top stories in legal tech and innovation.
So what were the top stories? Well, if you missed it, no worries. Here’s the video:
