Stepping Back from the Cliff: Facing New Realities of Changing Student Demographics — from evoLLLution.com by Jim Shaeffer
Most universities that plan to stick to the status quo and serve exclusively traditional learners are facing a cliff. CE divisions can help their institutions avoid a potential drop, but only if they’re empowered.

Excerpt:

Demographics of students enrolling at colleges and universities are evolving. And students’ expectations are evolving as well. As the numbers of 18-22 year olds fresh out of high school drop, the recruitment of non-traditional students is becoming more important than ever. In this interview, James Shaeffer discusses the role continuing education (CE) departments can play as drivers of innovation and reflects on how CE leaders can help their main campus colleagues embrace transformational change.

Addendum on 1/4/20:

 

Using a Research-Based Approach – It’s Up to Us  — from wcetfrontiers.org by Andria Schwegler

Excerpt (emphasis DSC):

This discrepancy suggests that perceptions are heavily influenced by idiosyncratic, personal experiences instead of by research.

Nearly a decade ago, a meta-analysis of studies comparing student learning in online, blended, and face-to-face contexts revealed no significant differences in learning across course modality (Means, Toyama, Murphy, Bakia, & Jones, 2010). Today, a growing body of research corroborates no significant differences exist (National Research Center for Distance Education and Technological Advancements, 2019). That some faculty attitudes are not aligned with this information suggests that concerns regarding course delivery are confounded with beliefs about course modality. Leveraging existing research on teaching and learning and conducting new research to address gaps can clarify how to address concerns with course delivery to facilitate students’ ability to meet learning outcomes instead of assuming course modality is the problem.

 

 

The 10 vital skills you will need for the future of work — from Bernard Marr

Excerpt:

Active learning with a growth mindset
Anyone in the future of work needs to actively learn and grow. A person with a growth mindset understands that their abilities and intelligence can be developed and they know their effort to build skills will result in higher achievement. They will, therefore, take on challenges, learn from mistakes and actively seek new knowledge.

Start by adopting a commitment to lifelong learning so you can acquire the skills you will need to succeed in the future workplace.

 

Redefining Norms Critical to Sustained Relevance in the Changing Postsecondary Environment — from evolllution.com by Hunt Lambert
Sticking to the status quo will end in disaster for most postsecondary institutions. To stay relevant, institutions have to rethink all aspects of the higher education product, from programming to student support to organizational models.

Excerpt (emphasis DSC):

Higher education has existed for over a millennium in an effectively unchanged state, but the impetus to transform has arrived. Fast-changing labor demands, evolving learner expectations and transformed market realities are forcing college and university leaders to rethink the traditional postsecondary model and find ways to serve the growing numbers of lifelong learners. This idea has been broadly articulated as the 60-Year Curriculum (60YC), and executing on this vision demands a fundamental change in how higher education institutions must operate to serve students. In this interview, Hunt Lambert expands on the 60YC vision and shares his insights into how the organizational models of postsecondary institutions need to evolve to adapt to this approach.

The 60YC proposes that higher education providers, who happen to be best in the world at knowledge creation and dissemination through well-designed curriculum, expand that curricula concept from the current two-year AA, four-year BA, two-year master’s and seven-year PhD learning models into a 60-year model inclusive of 15- to 75-year-old learners and, most likely, beyond.

 

 

Greta Thunberg is the youngest TIME Person of the Year ever. Here’s how she made history — from time.com

Excerpt:

The politics of climate action are as entrenched and complex as the phenomenon itself, and Thunberg has no magic solution. But she has succeeded in creating a global attitudinal shift, transforming millions of vague, middle-of-the-night anxieties into a worldwide movement calling for urgent change. She has offered a moral clarion call to those who are willing to act, and hurled shame on those who are not. She has persuaded leaders, from mayors to Presidents, to make commitments where they had previously fumbled: after she spoke to Parliament and demonstrated with the British environmental group Extinction Rebellion, the U.K. passed a law requiring that the country eliminate its carbon footprint. She has focused the world’s attention on environmental injustices that young indigenous activists have been protesting for years. Because of her, hundreds of thousands of teenage “Gretas,” from Lebanon to Liberia, have skipped school to lead their peers in climate strikes around the world.

 

Young people! You CAN and will make a big impact/difference!

 

The future of law and computational technologies: Two sides of the same coin — from law.mit.edu by Daniel Linna
Law and computation are often thought of as being two distinct fields. Increasingly, that is not the case. Dan Linna explores the ways a computational approach could help address some of the biggest challenges facing the legal industry.

Excerpt:

The rapid advancement of artificial intelligence (“AI”) introduces opportunities to improve legal processes and facilitate social progress. At the same time, AI presents an original set of inherent risks and potential harms. From a Law and Computational Technologies perspective, these circumstances can be broadly separated into two categories. First, we can consider the ethics, regulations, and laws that apply to technology. Second, we can consider the use of technology to improve the delivery of legal services, justice systems, and the law itself. Each category presents an unprecedented opportunity to use significant technological advancements to preserve and expand the rule of law.

For basic legal needs, access to legal services might come in the form of smartphones or other devices that are capable of providing users with an inventory of their legal rights and obligations, as well as providing insights and solutions to common legal problems. Better yet, AI and pattern matching technologies can help catalyze the development of proactive approaches to identify potential legal problems and prevent them from arising, or at least mitigate their risk.

We risk squandering abundant opportunities to improve society with computational technologies if we fail to proactively create frameworks to embed ethics, regulation, and law into our processes by design and default.

To move forward, technologists and lawyers must radically expand current notions of interdisciplinary collaboration. Lawyers must learn about technology, and technologists must learn about the law.

 

 

Considering AI in hiring? As its use grows, so do the legal implications for employers. — from forbes.com by Alonzo Martinez; with thanks to Paul Czarapata for his posting on Twitter on this

Excerpt:

As employers grapple with a widespread labor shortage, more are turning to artificial intelligence tools in their search for qualified candidates.

Hiring managers are using increasingly sophisticated AI solutions to streamline large parts of the hiring process. The tools scrape online job boards and evaluate applications to identify the best fits. They can even stage entire online interviews and scan everything from word choice to facial expressions before recommending the most qualified prospects.

But as the use of AI in hiring grows, so do the legal issues surrounding it. Critics are raising alarms that these platforms could lead to discriminatory hiring practices. State and federal lawmakers are passing or debating new laws to regulate them. And that means organizations that implement these AI solutions must not only stay abreast of new laws, but also look at their hiring practices to ensure they don’t run into legal trouble when they deploy them.

 

Amazon’s Ring planned neighborhood “watch lists” built on facial recognition — from theintercept.com by Sam Biddle

Excerpts (emphasis DSC):

Ring, Amazon’s crime-fighting surveillance camera division, has crafted plans to use facial recognition software and its ever-expanding network of home security cameras to create AI-enabled neighborhood “watch lists,” according to internal documents reviewed by The Intercept.

Previous reporting by The Intercept and The Information revealed that Ring has at times struggled to make facial recognition work, instead relying on remote workers from Ring’s Ukraine office to manually “tag” people and objects found in customer video feeds.

Legal scholars have long criticized the use of governmental watch lists in the United States for their potential to ensnare innocent people without due process. “When corporations create them,” said Tajsar, “the dangers are even more stark.” As difficult as it can be to obtain answers on the how and why behind a federal blacklist, American tech firms can work with even greater opacity: “Corporations often operate in an environment free from even the most basic regulation, without any transparency, with little oversight into how their products are built and used, and with no regulated mechanism to correct errors,” Tajsar said.

 

From DSC:
Those working or teaching within the legal realm — this one’s for you. But it’s also for the leadership of the C-Suites in our corporate world — as well as for all of those programmers, freelancers, engineers, and/or other employees working on AI within the corporate world.

By the way, and not to get all political here…but who’s to say what happens with our data when it’s being reviewed in Ukraine…?

 

Also see:

  • Opinion: AI for good is often bad — from wired.com by Mark Latonero
    Trying to solve poverty, crime, and disease with (often biased) technology doesn’t address their root causes.
 

Going to court without a lawyer is new normal for U.S. litigants — from msn.com by Gwen Everett

Excerpt:

A fair shot at justice is a bedrock value of the American legal system, yet litigants who represent themselves against attorneys are unlikely to win their cases or settle on beneficial terms, according to Bonnie Hough, an attorney at the Judicial Council of California, the rule-making arm of the state’s court system. This reinforces the reality that America is split into two camps — the haves and the have-no-lawyers.

 

Why AI is a threat to democracy – and what we can do to stop it — from asumetech.com by Lawrence Cole

Excerpts:

In the US, however, we also have a tragic lack of foresight. Instead of creating a grand strategy for AI or for our long-term futures, the federal government has removed the financing of scientific and technical research. The money must therefore come from the private sector. But investors also expect a certain return. That is a problem. You cannot plan your R&D breakthroughs when working on fundamental technology and research. It would be great if the big tech companies had the luxury of working very hard without having to organize an annual conference to show off their newest and best whiz bang thing. Instead, we now have countless examples of bad decisions made by someone in the G-MAFIA, probably because they worked quickly. We begin to see the negative effects of the tension between doing research that is in the interest of humanity and making investors happy.

The problem is that our technology has become increasingly sophisticated, but our thinking about what free speech is and what a free market economy looks like has not become that advanced. We tend to resort to very basic interpretations: free speech means that all speech is free, unless it conflicts with defamation laws, and that’s the end of the story. That is not the end of the story. We need to start a more sophisticated and intelligent conversation about our current laws, our emerging technology, and how we can make the two meet halfway.

 

So I absolutely believe that there is a way forward. But we have to come together and bridge the gap between Silicon Valley and DC, so that we can all steer the boat in the same direction.

— Amy Webb, futurist, NYU professor, founder of the Future Today Institute

 

Also see:

“FRONTLINE investigates the promise and perils of artificial intelligence, from fears about work and privacy to rivalry between the U.S. and China. The documentary traces a new industrial revolution that will reshape and disrupt our lives, our jobs and our world, and allow the emergence of the surveillance society.”

The film has five distinct messages about:

1. China’s AI Plan
2. The Promise of AI
3. The Future of Work
4. Surveillance Capitalism
5. The Surveillance State

 

 

 

 
 

Top ten podcasts every teacher needs to hear — from wiley.com; with thanks to Emily Liebtag for her posting on Twitter for this resource

Excerpt:

Listening to podcasts is an easy way to dive into a topic that interests you and learn something new from others who share your passion for education.

We’re highlighting the following ten podcast episodes featuring Jossey-Bass authors that you can listen to whenever, wherever to help you master your craft or reignite your love of teaching.

So, take some time for yourself, grab your earbuds, and press play on these…

 

TECHREPORT 2019: Practice Management — from lawtechnologytoday.org by Alexander Paykin

Excerpt (emphasis DSC):

The American Bar Association’s Legal Technology Resource Center surveyed a sample size of 53,252 attorneys regarding the technology and software both available and utilized in their firms. This TECHREPORT analyzes both the responses of these attorneys on a variety of technological developments and changes occurring in the legal industry and the existing trepidation to adopt certain technologies.

The world continues to shift towards a more technological focus, while the legal industry has not followed suit in many aspects. The use of practice management systems has not seen any real growth throughout the last four years despite high satisfaction ratings. There still remains a need for an all-inclusive practice management system that would not require firms to purchase a variety of different programs for specific tasks, and the switching costs of practice management systems remain a concern for many firms—particularly solo and large firms.

Overall, technology continues to be developed for the legal industry in abundance, however, in many sectors of the industry, various sized firms are hesitant to adopt these advancements, leading to steady or declining growth rates for much of these technologies. The size of the firm also has a large influence on the technologies a firm may adopt, and this makes it hard to predict what technologies may appeal to what firms.

Most law technology is still fairly new, and it has quite far to go before being developed enough to displace traditional ways of accomplishing tasks that many firms value now. There still exists a desire for more and newer technologies that will make this switch easier, and without the feasibility to switch to these software programs more efficiently and effectively, the legal industry will still wait to adapt to the evolving technological world around us.

 

Report: College leaders not confident they can beat new competition — from educationdive.com by Hallie Busta, with thanks to Ray Schroeder for posting this out on LinkedIn

Excerpt:

While they say their institutions are prepared to meet students’ changing needs, they are less confident in their ability to address new forms of competition or change how the public views higher ed.

The report comes as higher ed stares down potentially fewer traditional students, more competition online, less state funding, and concerns over public perceptions of higher ed. These pressures have made smaller public and private institutions vulnerable to consolidation and even closure.

 
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