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globalization economy democracy

Caldwell, C. (April, 2017). Sending Jobs Overseas. CRB, 27(2).

http://www.claremont.org/crb/article/sending-jobs-overseas/ 

https://en.wikipedia.org/wiki/Claremont_Institute

Caldwell’s book review of
Baldwin, Richard E. The Great Convergence: Information Technology and the New Globalization. Cambridge, Massachusetts: The Belknap Press of Harvard University Press, 2016. not at SCSU library, available through ILL (https://mplus.mnpals.net/vufind/Record/008770850/Hold?item_id=MSU50008770850000010&id=008770850&hashKey=cff0a018a46178d4d3208ac449d86c4e#tabnav)

Globalization’s cheerleaders, from Columbia University economist Jagdish Bhagwati to New York Times columnist Thomas Friedman, made arguments from classical economics: by buying manufactured products from people overseas who made them cheaper than we did, the United States could get rich concentrating on product design, marketing, and other lucrative services. That turned out to be a mostly inaccurate description of how globalism would work in the developed world, as mainstream politicians everywhere are now discovering.

Certain skeptics, including polymath author Edward Luttwak and Harvard economist Dani Rodrik, put forward a better account. In his 1998 book Turbo-Capitalism, Luttwak gave what is still the most succinct and accurate reading of the new system’s economic consequences. “It enriches industrializing poor countries, impoverishes the semi-affluent majority in rich countries, and greatly adds to the incomes of the top 1 percent on both sides who are managing the arbitrage.”

In The Great Convergence, Richard Baldwin, an economist at the Graduate Institute in Geneva, gives us an idea why, over the past generation, globalization’s benefits have been so hard to explain and its damage so hard to diagnose.

We have had “globalization,” in the sense of far-flung trade, for centuries now.

ut around 1990, the cost of sharing information at a distance fell dramatically. Workers on complex projects no longer had to cluster in the same factory, mill town, or even country. Other factors entered in. Tariffs fell. The rise of “Global English” as a common language of business reduced the cost of moving information (albeit at an exorbitant cost in culture). “Containerization” (the use of standard-sized shipping containers across road, rail, and sea transport) made packing and shipping predictable and helped break the world’s powerful longshoremen’s unions. Active “pro-business” political reforms did the rest.

Far-flung “global value chains” replaced assembly lines. Corporations came to do some of the work of governments, because in the free-trade climate imposed by the U.S., they could play governments off against one another. Globalization is not about nations anymore. It is not about products. And the most recent elections showed that it has not been about people for a long time. No, it is about tasks.

his means a windfall for what used to be called the Third World. More than 600 million people have been pulled out of dire poverty. They can get richer by building parts of things.

The competition that globalization has created for manufacturing has driven the value-added in manufacturing down close to what we would think of as zilch. The lucrative work is in the design and the P.R.—the brainy, high-paying stuff that we still get to do.

But only a tiny fraction of people in any society is equipped to do lucrative brainwork. In all Western societies, the new formula for prosperity is inconsistent with the old formula for democracy.

One of these platitudes is that all nations gain from trade. Baldwin singles out Harvard professor and former George W. Bush Administration economic adviser Gregory Mankiw, who urged passage of the Obama Administration mega-trade deals TPP and Transatlantic Trade and Investment Partnership (TTIP) on the grounds that America should “work in those industries in which we have an advantage compared with other nations, and we should import from abroad those goods that can be produced more cheaply there.”

That was a solid argument 200 years ago, when the British economist David Ricardo developed modern doctrines of trade. In practical terms, it is not always solid today. What has changed is the new mobility of knowledge. But knowledge is a special commodity. It can be reused. Several people can use it at the same time. It causes people to cluster in groups, and tends to grow where those groups have already clustered.

When surgeries involved opening the patient up like a lobster or a peapod, the doctor had to be in physical contact with a patient. New arthroscopic processes require the surgeon to guide cutting and cauterizing tools by computer. That computer did not have to be in the same room. And if it did not, why did it have to be in the same country? In 2001, a doctor in New York performed surgery on a patient in Strasbourg. In a similar way, the foreman on the American factory floor could now coordinate production processes in Mexico. Each step of the production process could now be isolated, and then offshored. This process, Baldwin writes, “broke up Team America by eroding American labor’s quasi-monopoly on using American firms’ know-how.”

To explain why the idea that all nations win from trade isn’t true any longer, Baldwin returns to his teamwork metaphor. In the old Ricardian world that most policymakers still inhabit, the international economy could be thought of as a professional sports league. Trading goods and services resembled trading players from one team to another. Neither team would carry out the deal unless it believed it to be in its own interests. Nowadays, trade is more like an arrangement by which the manager of the better team is allowed to coach the lousier one in his spare time.

Vietnam, which does low-level assembly of wire harnesses for Honda. This does not mean Vietnam has industrialized, but nations like it no longer have to.

In the work of Thomas Friedman and other boosters you find value chains described as kaleidoscopic, complex, operating in a dozen different countries. Those are rare. There is less to “global value chains” than meets the eye. Most of them, Baldwin shows, are actually regional value chains. As noted, they exist on the periphery of the United States, Europe, or Japan. In this, offshoring resembles the elaborate international transactions that Florentine bankers under the Medicis engaged in for the sole purpose of avoiding church strictures on moneylending.

One way of describing outsourcing is as a verdict on the pay structure that had arisen in the West by the 1970s: on trade unions, prevailing-wage laws, defined-benefit pension plans, long vacations, and, more generally, the power workers had accumulated against their bosses.

In 1993, during the first month of his presidency, Bill Clinton outlined some of the promise of a world in which “the average 18-year-old today will change jobs seven times in a lifetime.” How could anyone ever have believed in, tolerated, or even wished for such a thing? A person cannot productively invest the resources of his only life if he’s going to be told every five years that everything he once thought solid has melted into ait.

The more so since globalization undermines democracy, in the ways we have noted. Global value chains are extraordinarily delicate. They are vulnerable to shocks. Terrorists have discovered this. In order to work, free-trade systems must be frictionless and immune to interruption, forever. This means a program of intellectual property protection, zero tariffs, and cross-border traffic in everything, including migrants. This can be assured only in a system that is veto-proof and non-consultative—in short, undemocratic.

Sheltered from democracy, the economy of the free trade system becomes more and more a private space.

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Caldwell, C. (2014, November). Twilight of Democracy. CRB, 14(4).

Caldwell’s book review of
Fukuyama, Francis. The Origins of Political Order: From Prehuman Times to the French Revolution. New York: Farrar, Straus and Giroux, 2011. SCSU Library: https://mplus.mnpals.net/vufind/Record/007359076  Call Number: JC11 .F85 2011

http://www.claremont.org/crb/article/twilight-of-democracy/

Fukuyama’s first volume opened with China’s mandarin bureaucracy rather than the democracy of ancient Athens, shifting the methods of political science away from specifically Western intellectual genealogies and towards anthropology. Nepotism and favor-swapping are man’s basic political motivations, as Fukuyama sees it. Disciplining those impulses leads to effective government, but “repatrimonialization”—the capture of government by private interests—threatens whenever vigilance is relaxed. Fukuyama’s new volume, which describes political order since the French Revolution, extends his thinking on repatrimonialization, from the undermining of meritocratic bureaucracy in Han China through the sale of offices under France’s Henri IV to the looting of foreign aid in post-colonial Zaire. Fukuyama is convinced that the United States is on a similar path of institutional decay.

Political philosophy asks which government is best for man. Political science asks which government is best for government. Political decline, Fukuyama insists, is not the same thing as civilizational collapse.

Fukuyama is not the first to remark that wars can spur government efficiency—even if front-line soldiers are the last to benefit from it.

Relative to the smooth-running systems of northwestern Europe, American bureaucracy has been a dud, riddled with corruption from the start and resistant to reform. Patronage—favors for individual cronies and supporters—has thrived.

Clientelism is an ambiguous phenomenon: it is bread and circuses, it is race politics, it is doing favors for special classes of people. Clientelism is both more democratic and more systemically corrupting than the occasional nepotistic appointment.

why modern mass liberal democracy has developed on clientelistic lines in the U.S. and meritocratic ones in Europe. In Europe, democracy, when it came, had to adapt itself to longstanding pre-democratic institutions, and to governing elites that insisted on established codes and habits. Where strong states precede democracy (as in Germany), bureaucracies are efficient and uncorrupt. Where democracy precedes strong states (as in the United States but also Greece and Italy), government can be viewed by the public as a piñata.

Fukuyama contrasts the painstaking Japanese development of Taiwan a century ago with the mess that the U.S. Congress, “eager to impose American models of government on a society they only dimly understood,” was then making of the Philippines. It is not surprising that Fukuyama was one of the most eloquent conservative critics of the U.S. invasion of Iraq from the very beginning.

What distinguishes once-colonized Vietnam and China and uncolonized Japan and Korea from these Third World basket cases is that the East Asian lands “all possess competent, high-capacity states,” in contrast to sub-Saharan Africa, which “did not possess strong state-level institutions.”

Fukuyama does not think ethnic homogeneity is a prerequisite for successful politics

the United States “suffers from the problem of political decay in a more acute form than other democratic political systems.” It has kept the peace in a stagnant economy only by dragooning women into the workplace and showering the working and middle classes with credit.

public-sector unions have colluded with the Democratic Party to make government employment more rewarding for those who do it and less responsive to the public at large. In this sense, government is too big. But he also believes that cutting taxes on the rich in hopes of spurring economic growth has been a fool’s errand, and that the beneficiaries of deregulation, financial and otherwise, have grown to the point where they have escaped bureaucratic control altogether. In this sense, government is not big enough.

Washington, as Fukuyama sees it, is a patchwork of impotence and omnipotence—effective where it insists on its prerogatives, ineffective where it has been bought out. The unpredictable results of democratic oversight have led Americans to seek guidance in exactly the wrong place: the courts, which have both exceeded and misinterpreted their constitutional responsibilities.  the almost daily insistence of courts that they are liberating people by removing discretion from them gives American society a Soviet cast.

“Effective modern states,” he writes, “are built around technical expertise, competence, and autonomy.”

http://librev.com/index.php/2013-03-30-08-56-39/discussion/culture/3234-gartziya-i-problemite-na-klientelistkata-darzhava

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Williams, J. (2017, May). The Dumb Politics of Elite Condescension. NYT

https://mobile.nytimes.com/2017/05/27/opinion/sunday/the-dumb-politics-of-elite-condescension.html

the sociologists Richard Sennett and Jonathan Cobb call the “hidden injuries of class.” These are dramatized by a recent employment study, in which the sociologists Lauren A. Rivera and Andras Tilcsik sent 316 law firms résumés with identical and impressive work and academic credentials, but different cues about social class. The study found that men who listed hobbies like sailing and listening to classical music had a callback rate 12 times higher than those of men who signaled working-class origins, by mentioning country music, for example.

Politically, the biggest “hidden injury” is the hollowing out of the middle class in advanced industrialized countries. For two generations after World War II, working-class whites in the United States enjoyed a middle-class standard of living, only to lose it in recent decades.

The college-for-all experiment did not work. Two-thirds of Americans are not college graduates. We need to continue to make college more accessible, but we also need to improve the economic prospects of Americans without college degrees.

the United States has a well-documented dearth of workers qualified for middle-skill jobs that pay $40,000 or more a year and require some postsecondary education but not a college degree. A 2014 report by Accenture, Burning Glass Technologies and Harvard Business School found that a lack of adequate middle-skills talent affects the productivity of “47 percent of manufacturing companies, 35 percent of health care and social assistance companies, and 21 percent of retail companies.”

Skillful, a partnership among the Markle Foundation, LinkedIn and Colorado, is one initiative pointing the way. Skillful helps provide marketable skills for job seekers without college degrees and connects them with employers in need of middle-skilled workers in information technology, advanced manufacturing and health care. For more information, see my other IMS blog entries, such ashttps://blog.stcloudstate.edu/ims/2017/01/11/credly-badges-on-canvas/

IM554 discussion on GBL

IM554 discussion on Game Based Learning

Here is the “literature”:
https://blog.stcloudstate.edu/ims/2015/03/19/recommendations-for-games-and-gaming-at-lrs/
this link reflects my recommendations to the SCSU library, based on my research and my publication: http://scsu.mn/1F008Re

Here are also Slideshare shows from conferences’ presentations on the topic:

https://www.slideshare.net/aidemoreto/gamification-and-byox-in-academic-libraries-low-end-practical-approach

https://www.slideshare.net/aidemoreto/gaming-and-gamification-in-academic-and-library-settings

Topic :Gaming and Gamification in Academic Settings

  1. Intro: why is it important to discuss this trend
    1. The fabric of the current K12 and higher ed students: Millennials and Gen Z
    2. The pedagogical theories and namely constructivism
      1. Csikszentmihalyi’s “flow” concept (being in the zone)
      2. Active learning
      3. Sociocultural Theory
      4. Project-Based Learning
    3. The general milieu of increasing technology presence, particularly of gaming environment
    4. The New Media Consortium and the Horizon Report

Discussion: Are the presented reasons sufficient to justify a profound restructure of curricula and learning spaces?

  1. Definition and delineation
    1. Games
    2. Serious Games
    3. Gamification
    4. Game-based learning
    5. Digital game-based learning
    6. Games versus gamification
    7. Simulations, the new technological trends such as human-computer interaction (HCI) such as augmented reality (AR),virtual reality (VR) and mixed reality (MR) (https://blog.stcloudstate.edu/ims/2017/02/22/virtual-augmented-mixed-reality/ )

Discussion: Is there a way to build a simpler but comprehensive structure/definition to encompass the process of gaming and gamification in education?

  1. Gaming and Gamification
    1. Pros
    2. Cons
    3. Debates

Discussion: Which side are you on and why?

  1. Gaming and Gamification and BYOD (or BYOx)
    1. gaming consoles versus gaming over wi-fi
    2. gaming using mobile devices instead of consoles
    3. human-computer interaction (HCI) such as augmented reality (AR),virtual reality (VR) and mixed reality (MR) (https://blog.stcloudstate.edu/ims/2017/02/22/virtual-augmented-mixed-reality/ )

Discussion: do you see a trend to suggest that either one or the other will prevail? Convergence?

  1. Gaming in Education
    1. student motivation, student-centered learning, personalized learning
    2. continued practice, clear goals and immediate feedback
    3. project-based learning, Minecraft and SimCity EDU
    4. Gamification of learning versus learning with games
    5. organizations to promote gaming and gamification in education (p. 6 http://scsu.mn/1F008Re)
    6. the “chocolate-covered broccoli” problem

Discussion: why gaming and gamification is not accepted in a higher rate? what are the hurdles to enable greater faster acceptance? What do you think, you can do to accelerate this process?

  1. Gaming in an academic library
    1. why the academic library? sandbox for experimentation
    2. the connection between digital literacy and gaming and gamificiation
    3. Gilchrist and Zald’s model for instruction design through assessment
    4. the new type of library instruction:
      in house versus out-of-the box games. Gamification of the process
      http://web.stcloudstate.edu/pmiltenoff/bi/

Discussion: based on the example (http://web.stcloudstate.edu/pmiltenoff/bi/), how do you see transforming academic library services to meet the demands of 21st century education?

  1. Gaming, gamification and assessment (badges)
    1. inability of current assessments to evaluate games as part of the learning process
    2. “microcredentialing” through digital badges
    3. Mozilla Open Badges and Badgestack
    4. leaderboards

Discussion: How do you see a transition from the traditional assessment to a new and more flexible academic assessment?

eportfolio conference

Re-Bundling Higher Education:

High Impact ePortfolio Practice and the New Digital Ecosystem

A regional ePortfolio conference jointly sponsored by AAEEBL,  City University of New York and Pace University, ReBundling Higher Education will offer sessions that highlight best practices, evidence of impact, and exciting innovations.

In March, 2017, the Association for Authentic, Experiential and Evidence-Based Learning (AAEEBL), the City University of New York (CUNY) and Pace University invite you to a conference exploring and discussing ePortfolio practice and its role in the future of higher education.  Use the links above to review the Call for Proposals (which outlines the themes of the conference), to register for the conference or to submit a proposal.

Call for Proposals

Conference proposals are due Dec. 2, 2016, and notification will take place by January 15, 2017.

Special note:  Due to recent budget cuts to NYC area colleges, registration fees will be kept to a minimum for this conference.  Students (graduate or undergraduate) will be admitted free, and registration for all others will be $25, payable at the door.

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more on eportfolio in this IMS blog:
https://blog.stcloudstate.edu/ims?s=eportfolio
more on badges in this IMS blog:
https://blog.stcloudstate.edu/ims?s=badges

blockchain credentialing

AAEEBL (The Association for Authentic, Experiential and Evidence-Based learning) starts the Baston Blog

Blockchain Credentialing: What Impact Will it Have?
Posted By Trent Batson Ph. D.

blockchain credentialing, big news since the MIT Media Lab offered an open source means of credentialing using blockchain technology (the technology behind bitcoin).

Blockchain credentialing makes verification of credentials much simpler and less time consuming, according to the articles I’ve collected below.  Even IBM has entered the arena.

As with badges, we in the eportfolio world need to be aware of the trend toward blockchain credentialing.  I’ve sorted through the links below so I could select those I thought would be most useful for you.

http://www.learningmachine.com/credentials.html

https://www.edsurge.com/news/2016-06-07-mit-media-lab-introduces-blockchain-technology-for-credentials

https://campustechnology.com/articles/2016/05/16/how-blockchain-will-disrupt-the-higher-education-transcript.aspx — the Phil Long interview

https://www.gartner.com/doc/3279217/reinventing-education-credentials-using-blockchain

https://bitcoinmagazine.com/articles/holberton-school-begins-tracking-student-academic-credentials-on-the-bitcoin-blockchain-1463605176

https://www.linkedin.com/pulse/blockchain-identity-credentials-enough-eric-korb?articleId=8359553479741654341

http://thenewstack.io/one-school-using-bitcoin-blockchain-authenticate-degrees/

https://console.ng.bluemix.net/docs/services/blockchain/index.html

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more on badges in this blog

https://blog.stcloudstate.edu/ims?s=badges

text and data mining

38 great resources for learning data mining concepts and techniques

http://www.rubedo.com.br/2016/08/38-great-resources-for-learning-data.html

Learn data mining languages: R, Python and SQL

W3Schools – Fantastic set of interactive tutorials for learning different languages. Their SQL tutorial is second to none. You’ll learn how to manipulate data in MySQL, SQL Server, Access, Oracle, Sybase, DB2 and other database systems.
Treasure Data – The best way to learn is to work towards a goal. That’s what this helpful blog series is all about. You’ll learn SQL from scratch by following along with a simple, but common, data analysis scenario.
10 Queries – This course is recommended for the intermediate SQL-er who wants to brush up on his/her skills. It’s a series of 10 challenges coupled with forums and external videos to help you improve your SQL knowledge and understanding of the underlying principles.
TryR – Created by Code School, this interactive online tutorial system is designed to step you through R for statistics and data modeling. As you work through their seven modules, you’ll earn badges to track your progress helping you to stay on track.
Leada – If you’re a complete R novice, try Lead’s introduction to R. In their 1 hour 30 min course, they’ll cover installation, basic usage, common functions, data structures, and data types. They’ll even set you up with your own development environment in RStudio.
Advanced R – Once you’ve mastered the basics of R, bookmark this page. It’s a fantastically comprehensive style guide to using R. We should all strive to write beautiful code, and this resource (based on Google’s R style guide) is your key to that ideal.
Swirl – Learn R in R – a radical idea certainly. But that’s exactly what Swirl does. They’ll interactively teach you how to program in R and do some basic data science at your own pace. Right in the R console.
Python for beginners – The Python website actually has a pretty comprehensive and easy-to-follow set of tutorials. You can learn everything from installation to complex analyzes. It also gives you access to the Python community, who will be happy to answer your questions.
PythonSpot – A complete list of Python tutorials to take you from zero to Python hero. There are tutorials for beginners, intermediate and advanced learners.
Read all about it: data mining books
Data Jujitsu: The Art of Turning Data into Product – This free book by DJ Patil gives you a brief introduction to the complexity of data problems and how to approach them. He gives nice, understandable examples that cover the most important thought processes of data mining. It’s a great book for beginners but still interesting to the data mining expert. Plus, it’s free!
Data Mining: Concepts and Techniques – The third (and most recent) edition will give you an understanding of the theory and practice of discovering patterns in large data sets. Each chapter is a stand-alone guide to a particular topic, making it a good resource if you’re not into reading in sequence or you want to know about a particular topic.
Mining of Massive Datasets – Based on the Stanford Computer Science course, this book is often sighted by data scientists as one of the most helpful resources around. It’s designed at the undergraduate level with no formal prerequisites. It’s the next best thing to actually going to Stanford!
Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners – This book is a must read for anyone who needs to do applied data mining in a business setting (ie practically everyone). It’s a complete resource for anyone looking to cut through the Big Data hype and understand the real value of data mining. Pay particular attention to the section on how modeling can be applied to business decision making.
Data Smart: Using Data Science to Transform Information into Insight – The talented (and funny) John Foreman from MailChimp teaches you the “dark arts” of data science. He makes modern statistical methods and algorithms accessible and easy to implement.
Hadoop: The Definitive Guide – As a data scientist, you will undoubtedly be asked about Hadoop. So you’d better know how it works. This comprehensive guide will teach you how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. Make sure you get the most recent addition to keep up with this fast-changing service.
 Online learning: data mining webinars and courses
DataCamp – Learn data mining from the comfort of your home with DataCamp’s online courses. They have free courses on R, Statistics, Data Manipulation, Dynamic Reporting, Large Data Sets and much more.
Coursera – Coursera brings you all the best University courses straight to your computer. Their online classes will teach you the fundamentals of interpreting data, performing analyzes and communicating insights. They have topics for beginners and advanced learners in Data Analysis, Machine Learning, Probability and Statistics and more.
Udemy – With a range of free and pay for data mining courses, you’re sure to find something you like on Udemy no matter your level. There are 395 in the area of data mining! All their courses are uploaded by other Udemy users meaning quality can fluctuate so make sure you read the reviews.
CodeSchool – These courses are handily organized into “Paths” based on the technology you want to learn. You can do everything from build a foundation in Git to take control of a data layer in SQL. Their engaging online videos will take you step-by-step through each lesson and their challenges will let you practice what you’ve learned in a controlled environment.
Udacity – Master a new skill or programming language with Udacity’s unique series of online courses and projects. Each class is developed by a Silicon Valley tech giant, so you know what your learning will be directly applicable to the real world.
Treehouse – Learn from experts in web design, coding, business and more. The video tutorials from Treehouse will teach you the basics and their quizzes and coding challenges will ensure the information sticks. And their UI is pretty easy on the eyes.
Learn from the best: top data miners to follow
John Foreman – Chief Data Scientist at MailChimp and author of Data Smart, John is worth a follow for his witty yet poignant tweets on data science.
DJ Patil – Author and Chief Data Scientist at The White House OSTP, DJ tweets everything you’ve ever wanted to know about data in politics.
Nate Silver – He’s Editor-in-Chief of FiveThirtyEight, a blog that uses data to analyze news stories in Politics, Sports, and Current Events.
Andrew Ng – As the Chief Data Scientist at Baidu, Andrew is responsible for some of the most groundbreaking developments in Machine Learning and Data Science.
Bernard Marr – He might know pretty much everything there is to know about Big Data.
Gregory Piatetsky – He’s the author of popular data science blog KDNuggets, the leading newsletter on data mining and knowledge discovery.
Christian Rudder – As the Co-founder of OKCupid, Christian has access to one of the most unique datasets on the planet and he uses it to give fascinating insight into human nature, love, and relationships
Dean Abbott – He’s contributed to a number of data blogs and authored his own book on Applied Predictive Analytics. At the moment, Dean is Chief Data Scientist at SmarterHQ.
Practice what you’ve learned: data mining competitions
Kaggle – This is the ultimate data mining competition. The world’s biggest corporations offer big prizes for solving their toughest data problems.
Stack Overflow – The best way to learn is to teach. Stackoverflow offers the perfect forum for you to prove your data mining know-how by answering fellow enthusiast’s questions.
TunedIT – With a live leaderboard and interactive participation, TunedIT offers a great platform to flex your data mining muscles.
DrivenData – You can find a number of nonprofit data mining challenges on DataDriven. All of your mining efforts will go towards a good cause.
Quora – Another great site to answer questions on just about everything. There are plenty of curious data lovers on there asking for help with data mining and data science.
Meet your fellow data miner: social networks, groups and meetups
Reddit – Reddit is a forum for finding the latest articles on data mining and connecting with fellow data scientists. We recommend subscribing to r/dataminingr/dataisbeautiful,r/datasciencer/machinelearning and r/bigdata.
Facebook – As with many social media platforms, Facebook is a great place to meet and interact with people who have similar interests. There are a number of very active data mining groups you can join.
LinkedIn – If you’re looking for data mining experts in a particular field, look no further than LinkedIn. There are hundreds of data mining groups ranging from the generic to the hyper-specific. In short, there’s sure to be something for everyone.
Meetup – Want to meet your fellow data miners in person? Attend a meetup! Just search for data mining in your city and you’re sure to find an awesome group near you.
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8 fantastic examples of data storytelling

8 fantastic examples of data storytelling

Data storytelling is the realization of great data visualization. We’re seeing data that’s been analyzed well and presented in a way that someone who’s never even heard of data science can get it.

Google’s Cole Nussbaumer provides a friendly reminder of what data storytelling actually is, it’s straightforward, strategic, elegant, and simple.

 

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more on text and data mining in this IMS blog
hthttps://blog.stcloudstate.edu/ims?s=data+mining

GLOBAL COLLABORATION DAY SEPTEMBER 15TH

Students, teachers, and organizations will join together online to celebrate and demonstrate global collaboration on September 15, 2016. On Global Collaboration Day, educators and professionals from around the world will host connective projects and events and invite public participation. This event is brought to you by VIF International Education, Google for Education, iEARN-USA and Edmodo.

The primary goals of this 24-hour, worldwide event are to:

  • demonstrate the power of global connectivity in classrooms, schools, institutions of informal learning and universities around the world
  • introduce others to the collaborative tools, resources and projects that are available to educators today
  • to focus attention on the need for developing globally competent students and teachers throughout the world

Global Collaboration Day will take place on September 15 in participant time zones. Classrooms, schools, and organizations will design and host engaging online activities for others to join. Events will range from mystery location calls to professional development events to interviews with experts. All events will be collated in an online calendar viewable in participants’ individual time zones. Participants will be connected on Twitter via the hashtag #globaled16.

An optional new activity this year will be the Great Global Project Challenge. Between now and October 1, 2016, global educators will design collaborative projects using a variety of platforms in which other students and teachers may participate during the course of the 2016-2017 school year. The objective is to create and present as many globally connective projects for students and educators as possible. The final deadline for submissions into our project directory is October 1, but participants are also encouraged to do an introductory activity for their project on Global Collaboration Day as well.

Global Collaboration Day is a project of the Global Education Conference Network, a free online virtual conference that takes place every November during International Education Week. GCD, along with Global Education Day at ISTE and Global Leadership Week, are events designed to connect educators and keep global conversations going year round.

For more information about Global Collaboration Day, please visit our main web site. A digital flyer is also available for distribution.

Follow us on social media:

 

Help us spread the word. Here are some sample Tweets:

  • Join us for Global Collaboration Day! Details here: http://bit.ly/2016GCD #globaled16
  • YOUR ORG’S TWITTER HANDLE is pleased to partner with @GlobalEdCon and educators around the globe for Global Collaboration Day: http://bit.ly/2016GCD
  • Are you an education leader? Inspire global collaboration on Global Collaboration Day 9/15. http://bit.ly/2016GCD #globaled16
  • Learn more about participating in the Global Collaboration Day celebration: http://bit.ly/2016GCD #globaled16
  • Project hosts are sought for Global Collaboration Day. Details here: http://bit.ly/2016GCD #globaled16

 

Logos and Badges for Participants, Hosts, Partners and Sponsors are located here: http://bit.ly/gcdimages

Interested in serving as an outreach partner?


Send an email to Lucy Gray (lucy@globaledevents.com) indicating your interest. Include information on how you can help us get the word out to networks with 5000 members or more.

gradecraft is lms plus gaming

An LMS to Support ‘Gameful’ Learning

Seeking to bring the qualities of well-designed games to pedagogical assessment, the University of Michigan created a learning management system that uses gaming elements such as competition, badges and unlocks to provide students with a personalized pathway through their courses.

By David Raths 08/24/16

https://campustechnology.com/articles/2016/08/24/an-lms-to-support-gameful-learning.aspx

UM School of Information and School of Education

a new type of learning management system called GradeCraft. GradeCraft borrows game elements such as badges and unlocks to govern students’ progress through a course. With unlocks, for example, you have to complete a task before moving to the next level.

Written in Ruby on Rails and hosted on Amazon Web Services, GradeCraft was created by a small team of students and faculty with additional software support from Ann Arbor-based developer Alfa Jango. Their work received support from UM’s Office of Digital Education and Innovation and the Office of the Provost. GradeCraft can work as a stand-alone platform or in conjunction with a traditional LMS via the LTI (Learning Tools Interoperability) protocol.

Here is how it works: Instructors create a course shell within GradeCraft (similar to the process with any LMS). Students use a tool called the “Grade Predictor” to plan a personalized pathway through the course, making predictions about both what they will do and how they will perform. When assignments are graded, predictions turn into progress; students are then nudged to revisit their semester plan, reassessing what work is available and how well they need to do to succeed overall. Students are able to independently choose an assessment pathway that matches their interests within the framework of learning objectives for the course.

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more on LMS in this blog

https://blog.stcloudstate.edu/ims?s=gaming

more on gaming in this blog

https://blog.stcloudstate.edu/ims?s=lms

more on badges in this blog

https://blog.stcloudstate.edu/ims?s=badges

Colorado’s Digital Badging Initiative

Link to the archived session:

http://www.nrocnetwork.org/professional-development/webinar

“Colorado’s Digital Badging Initiative: A New Model of Credentialing Technical Math Skills and More”.

Educators and innovative industry leaders agree that digital badges are evolving into a key credential that can be used to meet current education and workforce needs. As part of its TAACCCT grant, the Colorado Community College System is leading a collaborative effort to develop micro-credentials or digital badges to serve post-secondary and workforce in partnership. Learn about early pilot uses of digital badges in technical math and advanced manufacturing, as well as plans for the future. The presenter will also share perspectives garnered from her participation in the Badge Alliance/OPEN badges workgroup that is shaping the national conversation on this emerging topic.

Presenter: Brenda Perea, Instructional Design Project Manager, Colorado Community College System

Plan to log on 15 MINUTES BEFORE THE HOUR so you will be up and running before the webinar begins. (It may take a few minutes to download the software to your computer.)

We will begin the webinar promptly at 2:00 PM ET (1 CT/12 MT/11 PT) on Thursday, June 23.

Please send your questions, comments and feedback to: memberservices@theNROCproject.org

How To Join The Webinar

Thu, Jun 23, 2016 1:00 PM – 2:00 PM CDT

Add to Calendar: Outlook® Calendar | Google Calendar™ | iCal®

1. Click the link to join the webinar at the specified time and date:

https://global.gotowebinar.com/join/7204276536935317252/397462206

Before joining, be sure to check system requirements to avoid any connection issues.

Note: This link should not be shared with others; it is unique to you.

2. Choose one of the following audio options:

TO USE YOUR COMPUTER’S AUDIO:
When the webinar begins, you will be connected to audio using your computer’s microphone and speakers (VoIP). A headset is recommended.

–OR–

TO USE YOUR TELEPHONE:
If you prefer to use your phone, you must select “Use Telephone” after joining the webinar and call in using the numbers below.
United States: +1 (914) 614-3221
Access Code: 330-025-475
Audio PIN: Shown after joining the webinar

Webinar ID: 148-791-923

If you are new to GoToWebinar, we suggest that you click the link below and run the GoToWebinar configuration test to ensure your computer is ready to access this online meeting environment.

http://tinyurl.com/GTWtest

If you are using older operating systems, you may need to use GTW web access rather than the desktop application and possibly phone in for audio. See http://bit.ly/1VVCeno for more info.

If you experience problems entering the GoToWebinar room, or with the online tools during the session, please send an email to memberservices@thenrocproject.org.

This webinar will be archived in the “Professional Development” area of the NROC Network at http://www.nrocnetwork.org/professional-development/webinar.

We look forward to your participation.

Sincerely
The NROC Team

webinar

http://www.nrocnetwork.org/colorados-digital-badging-initiative-new-model-credentialing-technical-math-skills-and-more

badges are integrated with the industry partners of the educational institution

how to determine the value of a badge.
Faculty writing a competencies, online and blended environment. All agree that this means competency. Need to faculty buy in, if issuing badges. Objective versus subjective measures. Faculty member is the one who tells students how to earn badges. Not punitive, but a reward.

building the eco system in Colorado. But it can be taken on a national level. Employers in other states to accept. MS, Sisco are issuing badges, which will be internationally.

how does it fit in the bigger picture of credentials. Lumina Foundations. Next project. https://www.luminafoundation.org/

MOOC (Canvas)

Microsoft badging system. https://education.microsoft.com/ViewAll/Badges

brenda.perea@cccs.edu
NROCnetwork.org http://nrocnetwork.org/

badges are transferable. not person to person, but repository

of 200 issues badges, they were shared 6K+ times over social media: LinkedIn, FB etc. by employers.

backpack, or stored in Mozilla backpack. Most of LMS developing badging capabilities.
some LMS want to create their own badging, gatekeep in LMS, but losing
Canvas allows any badging
LCI in any LMS. LMS allow the vehicle to be issued, but does not create it.

badges8

badges7 badges6 badges8badges8badges5

badges4

badges3 badges2 badges1

 

 

 

 

Greensboro presentation

Please develop a one hour workshop for faculty on using a new (or old but new to them) technology tool. The aim is not to only show the technical operation, but the pedagogical use of the tool helping faculty think about what this might mean in their own teaching.

Short link: : http://bit.ly/UNCGpres

Alternatives to the pedagogical use of BYOD

Who: students, faculty and staff
Where: TBD
When: Friday, June 17, 2016. 10-11:30 AM

announcement

5 min introduction of workshop presenter Plamen Miltenoff and workshop participants

5 min plan of the workshop

5 min introduction to the topic:

Outline
In financially-sparse times for educational institutions, one viable way to save money is by rethinking pedagogy/methodology and adapt it to the burgeoning numbers of mobile devices (BYOD) owned by students, faculty and staff.

In 5 min,
we will be playing a game, using Kahoot (https://kahoot.it). Kahoot is an application from Norway, which is increasingly popular in K12 and gradually picking momentum at higher ed.

Why Kahoot and not any of the other similar polling apps (AKA formative assessment tools), such as PollEverywhere, PollDaddy etc. (https://blog.stcloudstate.edu/ims/2016/01/13/formative-assessment-tools/)?
1. Kahoot has gained momentum; at least one third of your undergraduates have used it in high school and are familiar with the interface.
2. I personally like Kahoot for the kahoots. J
3. I like badges as “badges in gamification.” Let me know, if you want to work on this topic some other time and lets schedule work time after this session (https://blog.stcloudstate.edu/ims?s=badges).

In 10-15 min,
lets try to create an account and build our first kahoot (https://getkahoot.com/). You can use any topic and focus on the features, which Kahoot provides. Split in groups and help each other; if you feel stuck, please let me know and I will do my best to help advance further.
Here are two YouTube lectures how to create an account and a kahoot quiz (5 min) and how to play a kahoot (3 min): https://blog.stcloudstate.edu/ims/2016/06/13/how-to-kahoot/

In 5-10 min,

let’s display 1-2 kahoot’s to the entire audience and think about situations, when and where such kahoots can be used for educational purposes.
Let’s think about the implications, which the use of kahoots on BOYD may trigger in the classroom

Let’s think about the preparation needed for the smooth use of the kahoots (is your WiFi in that particular classroom robust enough to hold the action of 20? 200? Students?
Let’s think about students’ engagement: what constitutes it? would a kahoot on their BYOD will be sufficient to pick their interest and if not, what else must be added to the magic elixir?

In 5 min, lets discuss Kahoot’s similarities with other educational technologies used in the classroom

Let’s assess the potential of Kahoot.
how does it compare
how does it transfer
is it compatible with Canvas

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