What one college discovered when it stopped accepting SAT/ACT scores — from by Valerie Strauss

Excerpt:

We completely dropped standardized tests from our application as part of our new mission-driven admissions strategy, distinct from the “test-optional” policy that hundreds of colleges now follow. If we reduce education to the outcomes of a test, the only incentive for schools and students to innovate is in the form of improving test-taking and scores. Teaching to a test becomes stifling for teachers and students, far from the inspiring, adaptive education which most benefits students. Our greatly accelerating world needs graduates who are trained to address tough situations with innovation, ingenuity, entrepreneurship and a capacity for mobilizing collaboration and cooperation.

We weighed other factors in our decision:

  • Standardized test scores do not predict a student’s success at our college.
  • SATs/ACTs are strongly biased against low-income students and students of color, at a time when diversity is critical to our mission.
  • We surveyed our students and learned not one of them had considered rankings when choosing to apply to colleges; instead they most cared about a college’s mission.
  • Some good students are bad test takers, particularly under stress, such as when a test may grant or deny college entry. Multiple-choice tests don’t reveal much about a student.
  • We’ve developed much better, fairer ways to assess students who will thrive at our college.

Our shift to a mission-driven approach to admissions is right for Hampshire College and the right thing to do. We fail students if we reduce them to a standardized test number tied more to their financial status than achievement. We fail students by perpetuating the myth that high standardized test scores signal “better” students. We are in the top one percent of colleges nationwide in the percentage of our undergraduate alumni who go on to earn advanced degrees – this on the strength of an education where we assess their capabilities narratively, and where we never, not once, subject them to a numerical or letter grade on a test or course.

 

Has cutting your way to greatness ever worked? — from insidehighered.com by Matt Reed
 I can’t think of a time that it has, yet it remains a common default mode.  

Excerpt:

Has cutting your way to greatness ever worked?

I can’t think of a time that it has, yet it remains a common default mode.

In places with declining enrollments and without generous external benefactors, it’s easy to fall into the trap of constant cutting. Each year is a fresh emergency, bringing another round of short-term patches and “temporary” workarounds that quickly become new baselines.

Over time, though, the cuts do damage that starts to show up in enrollments. Too many classes cancelled or calls unreturned lead to attrition, which leads to calls for still more cuts. Cut an off-campus location to save money, and whoops, you lose its enrollments, leading to a need for more cutting. Add an inexorably rising underlying cost — say, just hypothetically, health insurance — and you have the makings of a death spiral.

The task for the emerging generation of leadership isn’t just fiscal; it’s narrative.

 

 

From DSC:
The recent pieces below made me once again reflect on the massive changes that are quickly approaching — and in some cases are already here — for a variety of nations throughout the world.

They caused me to reflect on:

  • What the potential ramifications for higher education might be regarding these changes that are just starting to take place in the workplace due to artificial intelligence (i.e., the increasing use of algorithms, machine learning, and deep learning, etc.), automation, & robotics?
  • The need for people to reinvent themselves quickly throughout their careers (if we can still call them careers)
  • How should we, as a nation, prepare for these massive changes so that there isn’t civil unrest due to soaring inequality and unemployment?

As found in the April 9th, 2017 edition of our local newspaper here:

When even our local newspaper is picking up on this trend, you know it is real and has some significance to it.

 

Then, as I was listening to the radio a day or two after seeing the above article, I heard of another related piece on NPR.  NPR is having a journalist travel across the country, trying to identify “robot-safe” jobs.  Here’s the feature on this from MarketPlace.org

 

 

What changes do institutions of traditional higher education
immediately need to begin planning for? Initiating?

What changes should be planned for and begin to be initiated
in the way(s) that we accredit new programs?

 

 

Keywords/ideas that come to my mind:

  • Change — to society, to people, to higher ed, to the workplace
  • Pace of technological change — no longer linear, but exponential
  • Career development
  • Staying relevant — as institutions, as individuals in the workplace
  • Reinventing ourselves over time — and having to do so quickly
  • Adapting, being nimble, willing to innovate — as institutions, as individuals
  • Game-changing environment
  • Lifelong learning — higher ed needs to put more emphasis on microlearning, heutagogy, and delivering constant/up-to-date streams of content and learning experiences. This could happen via the addition/use of smaller learning hubs, some even makeshift learning hubs that are taking place at locations that these institutions don’t even own…like your local Starbucks.
  • If we don’t get this right, there could be major civil unrest as inequality and unemployment soar
  • Traditional institutions of higher education have not been nearly as responsive to change as they have needed to be; this opens the door to alternatives. There’s a limited (and closing) window of time left to become more nimble and responsive before these alternatives majorly disrupt the current world of higher education.

 

 

 



Addendum from the corporate world (emphasis DSC):



 

From The Impact 2017 Conference:

The Role of HR in the Future of Work – A Town Hall

  • Josh Bersin, Principal and Founder, Bersin by Deloitte, Deloitte Consulting LLP
  • Nicola Vogel, Global Senior HR Director, Danfoss
  • Frank Møllerop, Chief Executive Officer, Questback
  • David Mallon, Head of Research, Bersin by Deloitte, Deloitte Consulting LLP

Massive changes spurred by new technologies such as artificial intelligence, mobile platforms, sensors and social collaboration have revolutionized the way we live, work and communicate – and the pace is only accelerating. Robots and cognitive technologies are making steady advances, particularly in jobs and tasks that follow set, standardized rules and logic. This reinforces a critical challenge for business and HR leaders—namely, the need to design, source, and manage the future of work.

In this Town Hall, we will discuss the role HR can play in leading the digital transformation that is shaping the future of work in organizations worldwide. We will explore the changes we see taking place in three areas:

  • Digital workforce: How can organizations drive new management practices, a culture of innovation and sharing, and a set of talent practices that facilitate a new network-based organization?
  • Digital workplace: How can organizations design a working environment that enables productivity; uses modern communication tools (such as Slack, Workplace by Facebook, Microsoft Teams, and many others); and promotes engagement, wellness, and a sense of purpose?
  • Digital HR: How can organizations change the HR function itself to operate in a digital way, use digital tools and apps to deliver solutions, and continuously experiment and innovate?
 

Looking to build the campus of tomorrow? 5 trends you should know — from ecampusnews.com by Laura Ascione
Today’s trends will bring about a new vision for the traditional college campus.

Excerpt:

“Innovations in physical space must be made to accommodate demands for accessibility, flexibility and affordability,” according to The State of Higher Education in 2017, a report from professional services firm Grant Thornton.

Changes in infrastructure are being driven by a handful of trends, including:

  • Digital technology is decoupling access to the classroom and information from any specific geographic location.
  • Learning is becoming more “modular,” credentialing specific competencies, such as certificates and badges,, rather than the model of four years to a degree via fixed-class schedules. This requires a less broad range of academic buildings on campus.
  • Students will engage with their coursework at their own time and pace, as they do in every other aspect of their lives.
  • Price pressure on colleges will create incentives for cost efficiencies, discouraging the fixed-cost commitment embodied in physical structures.
  • Deferred maintenance is a problem so large that it can’t be solved by most colleges within their available resources; the result may be reducing the physical plant footprint or just letting it deteriorate further.

These developments will prompt physical space transformation that will lead to a new kind of campus.

 

 


The State of Higher Education in 2017 — from grantthornton.com

 

Browse the report articles:

 

 

Innovative thinking will be vital to successfully moving into the future.

 

 

Retailers cut tens of thousands of jobs. Again. — from money.cnn.com by Paul R. La Monica
The dramatic reshaping of the American retail industry has, unfortunately, led to massive job losses in the sector.

Excerpt (emphasis DSC):

The federal government said Friday that retailers shed nearly 30,000 jobs in March. That follows a more than 30,000 decline in the number of retail jobs in the previous month.

So-called general merchandise stores are hurting the most.

That part of the sector, which includes struggling companies like Macy’s, Sears, and J.C. Penney, lost 35,000 jobs last month. Nearly 90,000 jobs have been eliminated since last October.

“There is no question that the Amazon effect is overwhelming,” said Scott Clemons, chief investment strategist of private banking for BBH. “There has been a shift in the way we buy things as opposed to a shift in the amount of money spent.”

To that end, Amazon just announced plans to hire 30,000 part-time workers.

 

From DSC:
One of the reasons that I’m posting this item is for those who say disruption isn’t real…it’s only a buzz word…

A second reason that I’m posting this item is because those of us working within higher education should take note of the changes in the world of retail and learn the lesson now before the “Next Amazon.com of Higher Education*” comes on the scene. Though this organization has yet to materialize, the pieces of its foundation are beginning to come together — such as the ingredients, trends, and developments that I’ve been tracking in my “Learning from the Living [Class] Room” vision.

This new organization will be highly disruptive to institutions of traditional higher education.

If you were in an influential position at Macy’s, Sears, and/or at J.C. Penney today, and you could travel back in time…what would you do?

We in higher education have the luxury of learning from what’s been happening in the retail business. Let’s be sure to learn our lesson.

 



 

* Effective today, what I used to call the “Forthcoming Walmart of Education — which has already been occurring to some degree with things such as MOOCs and collaborations/partnerships such as Georgia Institute of Technology, Udacity, and AT&T — I now call the “Next Amazon.com of Higher Education.”

Cost. Convenience. Selection. Offering a service on-demand (i.e., being quick, responsive, and available 24×7). <– These all are powerful forces.

 



 

P.S. Some will say you can’t possibly compare the worlds of retail and higher education — and that may be true as of 2017. However, if:

  • the costs of higher education keep going up and we continue to turn a deaf ear to the struggling families/students/adult learners/etc. out there
  • alternatives to traditional higher education continue to come on the landscape
  • the Federal Government continues to be more open to financially supporting such alternatives
  • technologies such as artificial intelligence, machine learning, deep learning continue to get better and more powerful — to the point that they can effectively deliver a personalized education (one that is likely to be fully online and that utilizes a team of specialists to create and deliver the learning experiences)
  • people lose their jobs to artificial intelligence, robotics, and automation and need to quickly reinvent themselves

…I can assure you that people will find other ways to make ends meet. The Next Amazon.com of Education will be just what they are looking for.

 



 

 

 

The Hidden Costs of Active Learning — from by Thomas Mennella
Flipped and active learning truly are a better way for students to learn, but they also may be a fast track to instructor burnout.

Excerpt:

The time has come for us to have a discussion about the hidden cost of active learning in higher education. Soon, gone will be the days of instructors arriving to a lecture hall, delivering a 75-minute speech and leaving. Gone will be the days of midterms and finals being the sole forms of assessing student learning. For me, these days have already passed, and good riddance. These are largely ineffective teaching and learning strategies. Today’s college classroom is becoming dynamic, active and student-centered. Additionally, the learning never stops because the dialogue between student and instructor persists endlessly over the internet. Trust me when I say that this can be exhausting. With constant ‘touch-points,’ ‘personalized learning opportunities’ and the like, the notion of a college instructor having 12 contact hours per week that even remotely total 12 hours is beyond unreasonable.

We need to reevaluate how we measure, assign and compensate faculty teaching loads within an active learning framework. We need to recognize that instructors teaching in these innovative ways are doing more, and spending more hours, than their more traditional colleagues. And we must accept that a failure to recognize and remedy these ‘new normals’ risks burning out a generation of dedicated and passionate instructors. Flipped learning works and active learning works, but they’re very challenging ways to teach. I still say I will never teach another way again … I’m just not sure for how much longer that can be.

 

From DSC:
The above article prompted me to revisit the question of how we might move towards using more team-based approaches…? Thomas Mennella seems to be doing an incredible job — but grading 344 assignments each week or 3,784 assignments this semester is most definitely a recipe for burnout.

Then, pondering this situation, an article came to my mind that discusses Thomas Frey’s prediction that the largest internet-based company of 2030 will be focused on education.

I wondered…who will be the Amazon.com of the future of education? 

Such an organization will likely utilize a team-based approach to create and deliver excellent learning experiences — and will also likely leverage the power of artificial intelligence/machine learning/deep learning as a piece of their strategy.

 

 

 

The Blockchain Revolution and Higher Education — from er.educause.edu by Don Tapscott and Alex Tapscott
The blockchain provides a rich, secure, and transparent platform on which to create a global network for higher learning. This Internet of value can help to reinvent higher education in a way the Internet of information alone could not.

Excerpt:

What will be the most important technology to change higher education? In our view, it’s not big data, the social web, MOOCs, virtual reality, or even artificial intelligence. We see these as components of something new, all enabled and transformed by an emerging technology called the blockchain.

OK, it’s not the most sonorous word ever, sounding more like a college football strategy than a transformative technology. Yet, sonorous or not, the blockchain represents nothing less than the second generation of the Internet, and it holds the potential to disrupt money, business, government, and yes, higher education.

The opportunities for innovators in higher education fall into four categories:

  • Identity and Student Records: How we identify students; protect their privacy; measure, record, and credential their accomplishments; and keep these records secure
  • New Pedagogy: How we customize teaching to each student and create new models of learning
  • Costs (Student Debt): How we value and fund education and reward students for the quality of their work
  • The Meta-University: How we design entirely new models of higher education so that former MIT President Chuck Vest’s dream can become a reality1

The blockchain may help us change the relationships among colleges and universities and, in turn, their relationship to society.

Let us explain.

 

What if there was an Internet of value — a global, distributed, highly secure platform, ledger, or database where we could store and exchange things of value and where we could trust each other without powerful intermediaries? That is the blockchain.

 

 

From DSC:
The quote…

In 2006, MIT President Emeritus Vest offered a tantalizing vision of what he called the meta-university. In the open-access movement, he saw “a transcendent, accessible, empowering, dynamic, communally constructed framework of open materials and platforms on which much of higher education worldwide can be constructed or enhanced.”

…made me wonder if this is where a vision that I’m tracking called Learning from the Living [Class] Room is heading. Also, along these lines, futurist Thomas Frey believes

“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)

Blockchain could be a key piece of this vision.

 

The Living [Class] Room -- by Daniel Christian -- July 2012 -- a second device used in conjunction with a Smart/Connected TV

 

The Enterprise Gets Smart
Companies are starting to leverage artificial intelligence and machine learning technologies to bolster customer experience, improve security and optimize operations.

Excerpt:

Assembling the right talent is another critical component of an AI initiative. While existing enterprise software platforms that add AI capabilities will make the technology accessible to mainstream business users, there will be a need to ramp up expertise in areas like data science, analytics and even nontraditional IT competencies, says Guarini.

“As we start to see the land grab for talent, there are some real gaps in emerging roles, and those that haven’t been as critical in the past,” Guarini  says, citing the need for people with expertise in disciplines like philosophy and linguistics, for example. “CIOs need to get in front of what they need in terms of capabilities and, in some cases, identify potential partners.”

 

 

 

Asilomar AI Principles

These principles were developed in conjunction with the 2017 Asilomar conference (videos here), through the process described here.

 

Artificial intelligence has already provided beneficial tools that are used every day by people around the world. Its continued development, guided by the following principles, will offer amazing opportunities to help and empower people in the decades and centuries ahead.

Research Issues

 

1) Research Goal: The goal of AI research should be to create not undirected intelligence, but beneficial intelligence.

2) Research Funding: Investments in AI should be accompanied by funding for research on ensuring its beneficial use, including thorny questions in computer science, economics, law, ethics, and social studies, such as:

  • How can we make future AI systems highly robust, so that they do what we want without malfunctioning or getting hacked?
  • How can we grow our prosperity through automation while maintaining people’s resources and purpose?
  • How can we update our legal systems to be more fair and efficient, to keep pace with AI, and to manage the risks associated with AI?
  • What set of values should AI be aligned with, and what legal and ethical status should it have?

3) Science-Policy Link: There should be constructive and healthy exchange between AI researchers and policy-makers.

4) Research Culture: A culture of cooperation, trust, and transparency should be fostered among researchers and developers of AI.

5) Race Avoidance: Teams developing AI systems should actively cooperate to avoid corner-cutting on safety standards.

Ethics and Values

 

6) Safety: AI systems should be safe and secure throughout their operational lifetime, and verifiably so where applicable and feasible.

7) Failure Transparency: If an AI system causes harm, it should be possible to ascertain why.

8) Judicial Transparency: Any involvement by an autonomous system in judicial decision-making should provide a satisfactory explanation auditable by a competent human authority.

9) Responsibility: Designers and builders of advanced AI systems are stakeholders in the moral implications of their use, misuse, and actions, with a responsibility and opportunity to shape those implications.

10) Value Alignment: Highly autonomous AI systems should be designed so that their goals and behaviors can be assured to align with human values throughout their operation.

11) Human Values: AI systems should be designed and operated so as to be compatible with ideals of human dignity, rights, freedoms, and cultural diversity.

12) Personal Privacy: People should have the right to access, manage and control the data they generate, given AI systems’ power to analyze and utilize that data.

13) Liberty and Privacy: The application of AI to personal data must not unreasonably curtail people’s real or perceived liberty.

14) Shared Benefit: AI technologies should benefit and empower as many people as possible.

15) Shared Prosperity: The economic prosperity created by AI should be shared broadly, to benefit all of humanity.

16) Human Control: Humans should choose how and whether to delegate decisions to AI systems, to accomplish human-chosen objectives.

17) Non-subversion: The power conferred by control of highly advanced AI systems should respect and improve, rather than subvert, the social and civic processes on which the health of society depends.

18) AI Arms Race: An arms race in lethal autonomous weapons should be avoided.

Longer-term Issues

 

19) Capability Caution: There being no consensus, we should avoid strong assumptions regarding upper limits on future AI capabilities.

20) Importance: Advanced AI could represent a profound change in the history of life on Earth, and should be planned for and managed with commensurate care and resources.

21) Risks: Risks posed by AI systems, especially catastrophic or existential risks, must be subject to planning and mitigation efforts commensurate with their expected impact.

22) Recursive Self-Improvement: AI systems designed to recursively self-improve or self-replicate in a manner that could lead to rapidly increasing quality or quantity must be subject to strict safety and control measures.

23) Common Good: Superintelligence should only be developed in the service of widely shared ethical ideals, and for the benefit of all humanity rather than one state or organization.

 

 

 

Excerpts:
Creating human-level AI: Will it happen, and if so, when and how? What key remaining obstacles can be identified? How can we make future AI systems more robust than today’s, so that they do what we want without crashing, malfunctioning or getting hacked?

  • Talks:
    • Demis Hassabis (DeepMind)
    • Ray Kurzweil (Google) (video)
    • Yann LeCun (Facebook/NYU) (pdf) (video)
  • Panel with Anca Dragan (Berkeley), Demis Hassabis (DeepMind), Guru Banavar (IBM), Oren Etzioni (Allen Institute), Tom Gruber (Apple), Jürgen Schmidhuber (Swiss AI Lab), Yann LeCun (Facebook/NYU), Yoshua Bengio (Montreal) (video)
  • Superintelligence: Science or fiction? If human level general AI is developed, then what are likely outcomes? What can we do now to maximize the probability of a positive outcome? (video)
    • Talks:
      • Shane Legg (DeepMind)
      • Nick Bostrom (Oxford) (pdf) (video)
      • Jaan Tallinn (CSER/FLI) (pdf) (video)
    • Panel with Bart Selman (Cornell), David Chalmers (NYU), Elon Musk (Tesla, SpaceX), Jaan Tallinn (CSER/FLI), Nick Bostrom (FHI), Ray Kurzweil (Google), Stuart Russell (Berkeley), Sam Harris, Demis Hassabis (DeepMind): If we succeed in building human-level AGI, then what are likely outcomes? What would we like to happen?
    • Panel with Dario Amodei (OpenAI), Nate Soares (MIRI), Shane Legg (DeepMind), Richard Mallah (FLI), Stefano Ermon (Stanford), Viktoriya Krakovna (DeepMind/FLI): Technical research agenda: What can we do now to maximize the chances of a good outcome? (video)
  • Law, policy & ethics: How can we update legal systems, international treaties and algorithms to be more fair, ethical and efficient and to keep pace with AI?
    • Talks:
      • Matt Scherer (pdf) (video)
      • Heather Roff-Perkins (Oxford)
    • Panel with Martin Rees (CSER/Cambridge), Heather Roff-Perkins, Jason Matheny (IARPA), Steve Goose (HRW), Irakli Beridze (UNICRI), Rao Kambhampati (AAAI, ASU), Anthony Romero (ACLU): Policy & Governance (video)
    • Panel with Kate Crawford (Microsoft/MIT), Matt Scherer, Ryan Calo (U. Washington), Kent Walker (Google), Sam Altman (OpenAI): AI & Law (video)
    • Panel with Kay Firth-Butterfield (IEEE, Austin-AI), Wendell Wallach (Yale), Francesca Rossi (IBM/Padova), Huw Price (Cambridge, CFI), Margaret Boden (Sussex): AI & Ethics (video)

 

 

 

From DSC:
Can you imagine this as a virtual reality or a mixed reality-based app!?! Very cool.

This resource is incredible on multiple levels:

  • For their interface/interaction design
  • For their insights and ideas
  • For their creativity
  • For their graphics
  • …and more!

 

 

 

 

 

 

 

 

 

 
 
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