On 09/19/2019,
in Uncategorized,
by Daniel Christian
On 09/18/2019,
in adjunct faculty, Adobe, Apple, Asia, Australia, blogs / blogging / vlogging, Canada, Canvas - and other Instructure-related items, cloud-based computing / apps / other cloud-related, collaboration, colleges, communications, community colleges, content development, aggregation, repositories, corporate / business world, corporate universities / corporate training, digital audio, digital learning, digital photography, digital storytelling, digital textbooks, digital video, Europe, faculty, global / globalization, Google, higher education, India, internet, IT in HE, law schools, learning, learning ecosystem, media/film, Microsoft, multimedia, new media literacies, online learning, platforms, podcasting, productivity / tips and tricks, professional development, social learning / networks, social media, teachers, teaching & learning, teaching online, technologies for your home, technology (general), tools, training / L&D, trends, UK, United States, universities, vendors, web-based collaboration, workplace,
by Daniel Christian
Per Jane Hart on LinkedIn:
Top 200 Tools for Learning 2019 is now published, together with:
- Top 100 Tools for Personal & Professional Learning 2019
- Top 100 Tools for Workplace Learning 2019
- Top 100 Tools for Higher Education 2019
PLUS analysis of how these tools are being used in different context, new graphics, and updated comments on the tools’ pages that show how people are using the tools.
On 09/18/2019,
in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, changing business models, Cost of legal services - including access, emerging technologies, ethics, innovation, intelligent systems, law schools, legal technologies, legislatures / government / legal, new business models, society, technology (general), tools, United States, vision/possibilities,
by Daniel Christian
A momentous change in the legal industry garnering little attention — from forbes.com by Hendrik Pretorius
Excerpt:
The needed evolution in legal service delivery may receive a big push in the near future. Surprisingly, this issue seems to be flying under the radar for many in the legal industry.
The California Bar, through its Task Force on Access Through Innovation of Legal Services, created in 2018, seeks to “identify possible regulatory changes to enhance the delivery of, and access to, legal services through the use of technology, including artificial intelligence and online legal service delivery models.”
A report commissioned by this task force stated that “[m]odifying the ethics rules to facilitate greater collaboration across law and other disciplines will (1) drive down costs; (2) improve access; (3) increase predictability and transparency of legal services; (4) aid the growth of new businesses; and (5) elevate the reputation of the legal profession.”
Herein lies one of the fundamental challenges within the legal industry: viewing the law as the delivery of a legal product, and understanding that this delivery needs to revolve around the user, not the lawyer. There is a real and growing divide between the current model of legal service delivery put forth by a traditional law firm model and what the public wants. Consumers have raised the bar based on what they are experiencing in interacting with other businesses in other industries.
…
I love what many of these legal tech companies are doing: They are applying standards from outside the entrenched legal industry and changing entire delivery models. This should be a real wake-up call. But how can law firms truly compete and play a role?
On 09/17/2019,
in 21st century, 24x7x365 access, adult learning, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, career development, change, changing business models, cloud-based computing / apps / other cloud-related, CMS/LMS, collaboration, colleges, communities of practice, community colleges, consortiums, corporate universities / corporate training, cost of getting a degree, Cost of legal services - including access, credentialing, dangers of the status quo, Daniel S. Christian, digital learning, distance education, education, education technology, elearning, emerging technologies, future, future of higher education, game-changing environment, generational differences, global / globalization, heutagogy, higher education, homeschooling/homeschoolers, human-computer interaction (HCI), ideas, innovation, instructional design, intelligent systems, intelligent tutoring, internet, law schools, leadership, learning, learning agents, learning ecosystem, Learning from the Living [Class] Room, learning hubs & pods & microschooling, learning preferences, learning spaces, learning theories, lifelong learning, marketplaces, microlearning, mobile learning, MOOCs -- Massive Open Online Courses, more voice more choice more control, Natural Language Processing (NLP), new business models, new media literacies, online learning, online media, online tutoring, organizational change, pace of change, personalized/customized learning, platforms, reinvent, society, staying relevant, streams of content, student-related, surviving,
by Daniel Christian
DIY Mindset Reshaping Education — from campustechnology.com by Dian Schaffhauser
Excerpt:
A do-it-yourself mindset is changing the face of education worldwide, according to new survey results. Learners are “patching together” their education from a “menu of options,” including self-teaching, short courses and bootcamps, and they believe that self-service instruction will become even more prevalent for lifelong learning. In the United Sates specifically, 84 percent of people said learning would become even more self-service the older they get.
Among those who have needed to reskill in the last two years to continue doing their jobs, 42 percent found information online and taught themselves and 41 percent took a course or training offered by their employers, a professional association or bootcamp, compared to just 28 percent who pursued a professional certification program, 25 percent who enrolled in a university-level degree program or 12 percent who did nothing.
If people had to learn something new for their career quickly, they said they would be more likely turn to a short training program (47 percent), followed by access to a free resource such as YouTube, Lynda.com or Khan Academy (33 percent). A smaller share (20 percent) would head to an accredited university or college.
From DSC:
This is why the prediction from Thomas Frey carries weight and why I’ve been tracking a new learning platform for the 21st century. Given:
- The exponential pace of technological change occurring in many societies throughout the globe
- That emerging technologies are game-changers in many industries
- That people will need to learn about those emerging technologies and how to leverage/use them <– if they want to remain marketable/employed
- That people need to reinvent themselves quickly, efficiently, and cost-effectively
- That many people can’t afford the time nor the funding necessary these days to acquire a four-year higher ed degree
- That running new courses, programs, etc. through committees, faculty senates, etc. takes a great deal of time…and time is something we no longer have (given this new pace of change)
…there needs to be a new, up-to-date, highly responsive, inexpensive learning-related platform for the 21st century. I call this learning platform of the future, “Learning from the Living [Class] Room.” And while it requires subject matter experts / humans in significant ways, AI and other technologies will be embedded throughout such a platform.
“I’ve been predicting that by 2030 the largest company on the internet is going to be an education-based company that we haven’t heard of yet,” Frey, the senior futurist at the DaVinci Institute think tank, tells Business Insider.
— source
Addendum on 9/18/19:
- Education Startup Launches Online Courses for College Credit — from campustechnology.com by Sara Friedman
For $400 per course, students will be able to gain access to course videos that are cinematically filmed and taught by “some of the brightest minds in academia.” Outlier.org students will also have access to problem sets, one-on-one tutoring and assessments proctored through artificial intelligence.
On 09/17/2019,
in 21st century, 24x7x365 access, Amazon, analytics, Apple, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, business, cloud-based computing / apps / other cloud-related, communications, corporate / business world, dangers of the status quo, digital audio, emerging technologies, Facebook / Meta Platforms, future, game-changing environment, Google, IBM, law schools, legislatures / government / legal, Microsoft, society, the downsides of how people use tech,
by Daniel Christian
Someone is always listening — from Future Today Institute
Excerpt:
Very Near-Futures Scenarios (2020 – 2022):
- Optimistic: Big tech and consumer device industries agree to a single set of standards to inform people when they are being listened to. Devices now emit an audible ping and/ or a visible light anytime they are actively recording sound. While they need to store data in order to improve natural language understanding and other important AI systems, consumers now have access to a portal and can see, listen to, and erase their data at any time. In addition, consumers can choose to opt-out of storing their data to help improve AI systems.
- Pragmatic: Big tech and consumer device industries preserve the status quo, which leads to more cases of machine eavesdropping and erodes public trust. Federal agencies open investigations into eavesdropping practices, which leads to a drop in share prices and a concern that more advanced biometric technologies could face debilitating regulation.
-
Catastrophic: Big tech and consumer device industries collect and store our conversations surreptitiously while developing new ways to monetize that data. They anonymize and sell it to developers wanting to create their own voice apps or to research institutions wanting to do studies using real-world conversation. Some platforms develop lucrative fee structures allowing others access to our voice data: business intelligence firms, market research agencies, polling agencies, political parties and individual law enforcement organizations. Consumers have little to no ability to see and understand how their voice data are being used and by whom. Opting out of collection systems is intentionally opaque. Trust erodes. Civil unrest grows.
Action Meter:
Watchlist:
- Google; Apple; Amazon; Microsoft; Salesforce; BioCatch; CrossMatch; ThreatMetrix; Electronic Frontier Foundation; World Privacy Forum; American Civil Liberties Union; IBM; Baidu; Tencent; Alibaba; Facebook; Electronic Frontier Foundation; European Union; government agencies worldwide.
On 09/16/2019,
in 21st century, Amazon, analytics, Apple, business, computer science, dangers of the status quo, emerging technologies, engineering, Facebook / Meta Platforms, future, game-changing environment, generational differences, Google, ideas, internet, law schools, leadership, legislatures / government / legal, Microsoft, policy, political science, society, technologies for your home, technology (general), the downsides of how people use tech, United States, vendors,
by Daniel Christian
Microsoft President: Democracy Is At Stake. Regulate Big Tech — from npr.org by Aarti Shahani
Excerpts:
Regulate us. That’s the unexpected message from one of the country’s leading tech executives. Microsoft President Brad Smith argues that governments need to put some “guardrails” around engineers and the tech titans they serve.
If public leaders don’t, he says, the Internet giants will cannibalize the very fabric of this country.
“We need to work together; we need to work with governments to protect, frankly, something that is far more important than technology: democracy. It was here before us. It needs to be here and healthy after us,” Smith says.
“Almost no technology has gone so entirely unregulated, for so long, as digital technology,” Smith says.
On 09/14/2019,
in Asia, Australia, Canada, collaboration, colleges, community colleges, Europe, higher education, India, IT in HE, law schools, leadership, learning ecosystem, online learning, quality, strategy, teaching online, UK, United States, universities, vendors,
by Daniel Christian
The Global Landscape of Online Program Companies — from by Doug Lederman
New trove of data suggests a bigger, more complex, more varied ecosystem of companies that work with colleges to take their academic programs online.
Excerpt:
A new dataset promises to give college leaders, company officials and others involved in the online learning landscape much more information about who offers what programs, how they manage them and where the money is flowing, among other factors.
And the company behind the new data, Holon IQ, published a report today that gives a new name to the large and diversifying category of providers that are working with colleges to take their programs online: OPX, instead of OPM, for online program management companies. (More on that later.)
Also see:
Also see:
- Multi-Faculty Collaboration to Design Online General Studies Courses — from facultyfocus.com by B. Jean Mandernach
Excerpt:
While this type of autonomy in course design makes sense for the face-to-face classroom, it may be less practical–and less effective–in the context of online education. Simply put, development of a high-quality online course takes considerable time and advanced knowledge of online pedagogy. If multiple faculty members are teaching the same course online (as is often the case with general studies or other high-demand courses), it is not an efficient use of departmental time, resources, or budget to have multiple faculty developing their own online classroom for different sections of the same course.
On 09/14/2019,
in 21st century, 24x7x365 access, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, change, colleges, community colleges, education, education technology, emerging technologies, future of higher education, game-changing environment, higher education, intelligent systems, intelligent tutoring, IT in HE, law schools, learning ecosystem, Learning from the Living [Class] Room, legislatures / government / legal, lifelong learning, online learning, personalized/customized learning, platforms, the downsides of how people use tech, tools, United States, universities,
by Daniel Christian
Artificial Intelligence in Higher Education: Applications, Promise and Perils, and Ethical Questions — from er.educause.edu by Elana Zeide
What are the benefits and challenges of using artificial intelligence to promote student success, improve retention, streamline enrollment, and better manage resources in higher education?
Excerpt:
The promise of AI applications lies partly in their efficiency and partly in their efficacy. AI systems can capture a much wider array of data, at more granularity, than can humans. And these systems can do so in real time. They can also analyze many, many students—whether those students are in a classroom or in a student body or in a pool of applicants. In addition, AI systems offer excellent observations and inferences very quickly and at minimal cost. These efficiencies will lead, we hope, to increased efficacy—to more effective teaching, learning, institutional decisions, and guidance. So this is one promise of AI: that it will show us things we can’t assess or even envision given the limitations of human cognition and the difficulty of dealing with many different variables and a wide array of students.
…
A second peril in the use of artificial intelligence in higher education consists of the various legal considerations, mostly involving different bodies of privacy and data-protection law. Federal student-privacy legislation is focused on ensuring that institutions (1) get consent to disclose personally identifiable information and (2) give students the ability to access their information and challenge what they think is incorrect.7 The first is not much of an issue if institutions are not sharing the information with outside parties or if they are sharing through the Family Educational Rights and Privacy Act (FERPA), which means an institution does not have to get explicit consent from students. The second requirement—providing students with access to the information that is being used about them—is going to be an increasingly interesting issue.8 I believe that as the decisions being made by artificial intelligence become much more significant and as students become more aware of what is happening, colleges and universities will be pressured to show students this information. People are starting to want to know how algorithmic and AI decisions are impacting their lives.
My short advice about legal considerations? Talk to your lawyers. The circumstances vary considerably from institution to institution.
On 09/12/2019,
in active learning, adjunct faculty, collaboration, colleges, communications, community colleges, education, education reform, engagement / engaging students, face-to-face, faculty, higher education, law schools, learning, learning ecosystem, participation, pedagogy, presentations, research, student-related, teachers, teaching & learning, universities, user experience (UX),
by Daniel Christian
‘The Dangers of Fluent Lectures’ — from insidehighered.com by Colleen Flaherty
A study says smooth-talking professors can lull students into thinking they’ve learned more than they actually have — potentially at the expense of active learning.
Excerpt:
The paper also provides important insight into why active learning hasn’t taken deeper root in academe, despite the many studies that have previously identified its effectiveness as compared to more passive approaches (namely the lecture). In a word: students. That is, while professors are often seen as the biggest impediments to innovative teaching, the study describes an “inherent student bias against active learning that can limit its effectiveness and may hinder the wide adoption of these methods.”
Compared with students in traditional lectures, students in active classes perceived that they learned less, while in reality they learned more. Students also rated the quality of instruction in passive lectures more highly, and expressed a preference to have “all of their physics classes taught this way,” despite their lower test scores.
…
In some ways, he said, “the study confirms what we have suspected anecdotally for a long time — that students feel more comfortable in a lecture environment and believe that they are learning more because of the expectations they have for a college learning environment.” But, in fact, he said, they’re “actually learning more in the environments where they are actively engaged in building knowledge about key concepts.”
From DSC:
The part about the students feeling more comfortable in a lecture environment and believing that they are learning more reminded me of this research/paper (which the graphics below reference and link to as well), where they mention the practices of highlighting and re-reading some text. Students feel like they are really learning the content more thoroughly when they are doing these things (and this is what I did in college as well). But the evidence shows that the utility of these methods is low. Instead, practice testing — which involves retrieval practice, as well as distributed practice and interleaved practice produce stronger results.
So what students feel and what’s actually occurring can be different…as Colleen’s article from insidehighered.com points out.
That said — and as the article asserted as well — is that some lecturing is fine to do:
At the same time, Eyler stressed that existing literature shows that some limited lecturing is “definitely OK,” as “students need to know content in order to engage in higher order thinking.”
Addendum on 9/14/19:
Just because students perceive you to be a better teacher doesn't mean they are necessarily learning more.
"Meta-analysis of faculty's teaching effectiveness: Student evaluation of teaching ratings & student learning are not related" https://t.co/GKblnrddqu
#higherEd— Dr. Alec Couros (@courosa) September 14, 2019
On 09/10/2019,
in 21st century, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, bots, business, corporate / business world, corporate universities / corporate training, intelligent systems, legal technologies, technology (general), tools, training / L&D, workplace,
by Daniel Christian
What enterprises intend to do with artificial intelligence — from zdnet.com by Joe McKendrick
Survey shows business process automation and customer support are the low-hanging fruit with initial AI rollouts, but many organizations are moving on to tackle data analytics.
Excerpt:
The leading categories of use cases seeing AI investments and work include the following:
- Business process automation 49%
- Customer support/Chatbots 47%
- Data extraction 43%
- Contract analytics 28%
- Voice/video processing/imaging 25%
On 09/09/2019,
in 21st century, adult learning, analytics, Artificial Intelligence / Machine Learning / Deep Learning / Algorithms, Blockchain, bots, change, cloud-based computing / apps / other cloud-related, collaboration, communities of practice, dangers of the status quo, Daniel S. Christian, education, emerging technologies, engineering, future, game-changing environment, human-computer interaction (HCI), ideas, intelligent systems, law schools, leadership, legal technologies, legislatures / government / legal, lifelong learning, Natural Language Processing (NLP), online learning, pace of change, platforms, political science, professional development, reinvent, society, staying relevant, technologies for your home, technology (general), the downsides of how people use tech, tools, trends, United States,
by Daniel Christian
Technology as Part of the Culture for Legal Professionals A Q&A with Daniel Christian — from campustechnology.com by Mary Grush and Daniel Christian
Excerpt (emphasis DSC):
Mary Grush: Why should new technologies be part of a legal education?
Daniel Christian: I think it’s a critical point because our society, at least in the United States — and many other countries as well — is being faced with a dramatic influx of emerging technologies. Whether we are talking about artificial intelligence, blockchain, Bitcoin, chatbots, facial recognition, natural language processing, big data, the Internet of Things, advanced robotics — any of dozens of new technologies — this is the environment that we are increasingly living in, and being impacted by, day to day.
It is so important for our nation that legal professionals — lawyers, judges, attorney generals, state representatives, and legislators among them — be up to speed as much as possible on the technologies that surround us: What are the issues their clients and constituents face? It’s important that legal professionals regularly pulse check the relevant landscapes to be sure that they are aware of the technologies that are coming down the pike. To help facilitate this habit, technology should be part of the culture for those who choose a career in law. (And what better time to help people start to build that habit than within the law schools of our nation?)
There is a real need for the legal realm to catch up with some of these emerging technologies, because right now, there aren’t many options for people to pursue. If the lawyers, and the legislators, and the judges don’t get up to speed, the “wild wests” out there will continue until they do.