Open Learning Analytics

George Siemens

The future of systems such as business, government, and education will be data centric. While those sensemaking approaches won’t disappear, they will be augmented by data and analytics. Educators often find analytics frustrating. Or can analytics actually measure what matters instead of what is readily accessible in terms of data? All educators need to be familiar with data and analytics approaches, including machine and deep learning models.

Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

Its prediction algorithms integrate social physics technologies into its data analytic engine, enabling it to efficiently extract the underlying social attributes embedded in the raw data being analyzed.

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Transforming learning through analytics

George Siemens

Data, big data, analytics, and visualization are significant trends in education. There is much to be alarmed about with analytics, including the mechanization of teaching, learning, and assessment. My interest in learning analytics, however, doesn’t blind me to potential risks.

The Promise and Challenges of Health Analytics

Irving Wladawsky-Berger

On February 24 I attended a workshop in MIT on the Future of Health Analytics. In a recent paper , Ausiello notes that health analytics has the potential to become the next frontier in medicine, driven by the confluence of three key revolutions: .

Open Learning Analytics. Again

George Siemens

Several years ago, a group of us wrote a concept paper on Open Learning Analytics (.pdf). Our goal was to create openness as a foundation for the use of data and analytics in education. Few things are more important in education today than the development of an open platform for analytics of learning data. Recommender systems suggest next courses. Quite simply, the shape of tomorrow’s university is now actively being coded into analytics models.

Human-AI Decision Systems

Irving Wladawsky-Berger

I recently read The Human Strategy , a very interesting article on Human-AI decision systems by MIT Media Lab professor Sandy Pentland. Perhaps the most critical function of any organization or society is its decision systems,” wrote Pentland. “In

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New MOOC: Data, Analytics, & Learning

George Siemens

This fall, together with colleagues, I’ll be offering an open course on edX: Data, Analytics, and Learning. From the description: In education, the use of data and analytics to improve learning is referred to as learning analytics. Analytics have not yet made the impact on education that they have made in other fields. The era of data and analytics in learning is just beginning.

Impact of Data Analytics in Today’s Digital Workplace

Luis Suarez

So, how about if I share with you all how I got involved into the space of data analytics for online collaborative environments in the first place? Anyway, back to data analytics. Observable work through data analytics, anyone?

Learning Analytics 2011: Reflections

George Siemens

On Feb 28-Mar 1 a group of 100 researchers, administrators, and academics (from 12 countries) converged in Banff, Alberta for the 1st International Conference on Learning Analytics and Knowledge. Analytics will be huge in education and are coming faster than almost anyone can anticipate. Analytics are growing in prominence in many different disciplines and from all parts of the education system. Are analytics the “universal decoder&# for education reform?

Cognitive Systems and Big-Data-driven Applications

Irving Wladawsky-Berger

In the first week of October I participated in a Cognitive Systems Colloquium hosted by IBM at its Thomas J. These systems will learn and interact to provide expert assistance to scientists, engineers, lawyers, and other professionals in a fraction of the time it now takes.” .

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Human-AI Decision Systems

Irving Wladawsky-Berger

I recently read The Human Strategy , a very interesting article on Human-AI decision systems by MIT Media Lab professor Sandy Pentland. Perhaps the most critical function of any organization or society is its decision systems,” wrote Pentland. “In In modern societies, decision systems provide a leader the ability to make informed and timely decisions, supported by a complex enterprise of distributed information and communication systems that provide situational awareness.

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Notes On "Global Guidelines: Ethics in Learning Analytics"

Stephen Downes: Half an Hour

In my post referencing the ICDE's Global Guidelines: Ethics in Learning Analytics yesterday I said: This document summarizes the considerations of an ICDE working group on learning analytics. The presumption throughout is that a global ethic in learning analytics is needed, can be known, and comprehends the issues in this document. Definition and purpose of the use of Learning Analytics Where is data drawn from? What data must be included in learning analytics?

Open Symposium: Policy and Strategy for Learning Analytics Deployment

George Siemens

We ( SoLAR ) are organizing an online symposium on Policy and Strategy for Learning Analytics Deployment. The problem of data, at a systems level, seems too large and too complex to tackle.

The Competitive Value of Data: From Analytics to Machine Learning

Irving Wladawsky-Berger

IBM’s System 360 family of mainframes, announced in 1964, became the premier platform for commercial computing over the following 25 years by developing a 3rd party ecosystem of add-on hardware, software and services. Business analytics predates the big data era.

Reflecting on Learning Analytics and SoLAR

George Siemens

The Learning Analytics and Knowledge conference (LAK16) is happening this week in Edinburgh. I have great hope for the learning analytics field as one that will provide significant research for learning and help us move past naive quantitative and qualitative assessments of research and knowledge. Would you be interested in participating in a discussion on educational analytics (process, methods, technologies)? Not everyone was a fan of the idea of learning analytics.

Open Course: Learning Analytics and Knowledge

George Siemens

For the past several years, in preparation for our Learning Analytics Conference (this year in Leuven, Belgium, registration is now open ), we’ve been running an open online course on learning analytics. During this time, I’ve used Moodle and gRSShopper (the system Stephen Downes developed and that we’ve used for all of our joint MOOCs). This year, we’ll be running our Learning Analytics and Knowledge course on Canvas Network.

The Transformative Power of Analytics - The Houston Astros: a Case Study

Irving Wladawsky-Berger

The answer, in a nutshell, is analytics. Luhnow then brought his analytics and management skills to Houston and proceeded to transform the team into a top contender in a short few years. For certain elements of the analytics, we had to wait and be patient.

What is a Learning Content Management System (LCMS)?

Xyleme

There’s a lot of confusion surrounding Learning Content Management Systems. When most people hear the phrase “Learning Content Management System,” they usually think “Oh, an LMS.” What is a Learning Content Management System?

Learning and Performance Support Systems

Stephen Downes: Half an Hour

This post is to introduce you to our Learning and Performance Support Systems program, a new $19 million 5-year initiative at the National Research Council that I will be leading.

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Big Data, Complex Systems and Quantum Mechanics

Irving Wladawsky-Berger

Big data is a foundational element in IT’s quartet of Next Big Things : Social, Mobile, Analytics and Cloud. In thinking about this question over the last few years, I started to notice that a number of subtle, non-intuitive concepts that I learned many years ago as a physics student seem to apply to the world of big data and information-based predictions in highly complex systems. players, is an example of such a system. Big Data is one of the hottest topics out there.

The Science of Complex Systems

Irving Wladawsky-Berger

When I look back over my long, relatively eclectic career, complex systems have been a common theme in all the activities I’ve been involved in. It started in the 1960s, when I was an undergraduate and graduate student at the University of Chicago majoring in physics, - the study of complex natural systems. My main research interests were centered on large computer systems, including mainframes, supercomputers and distributed systems.

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The Transformative Power of Analytics - The Houston Astros: a Case Study

Irving Wladawsky-Berger

The answer, in a nutshell, is analytics. As VP of scouting and player development in St Louis, Luhnow built a strong analytics department and enjoyed great success as one of the top talent producers in baseball, helping the Cardinals win the 2011 World Series as well as reach the playoffs from 2012 to 2015. Luhnow then brought his analytics and management skills to Houston and proceeded to transform the team into a top contender in a short few years.

Big Data: Running out of Metric System…

Andy McAfee

The first is the great thirst mainstream organizations have for analytic talent. It turns out that in the era of big data, we’re about to run out of metric system: Yotta- , signifying 10^24, is the only metrix prefix left on the list.

Analytics – The Usability Lab of the new decade

Adaptive Path

Some of these are: remote screen sharing and screen recording tools and services voice of the customer feedback systems, like Get Satisfaction and other SaaS tools A/B testing and multi-variant testing remote co-design tools like online card sorting. The gist of the internal response was, “Analytics!&# Analytics alone isn’t sufficient, so it’s best augmented with live intercepts of actual users engaging in real tasks. Google Analytics is free.

The Future of Learning Management Systems: Development, Innovation and Change

Stephen Downes: Half an Hour

But there isn’t a systemic way to evaluate what works. The challenge is, how can systems support this, esp. the learning management system. They used to be known as course management systems. And they create an expectation that ‘my system should be as easy to use’.

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Johns Hopkins Academic Freedom Statement - An Analytical Representation

Stephen Downes: Half an Hour

Yet several statements in the document refer only to faculty and professors, thus creating the appearance, if not the reality, of a two-tier system. Drafted in January and just released, the Johns Hopkins statement on academic freedom will no doubt be widely cited.I cite the full text below. This post is a version of the document designed to draw out and represent exactly what it says, and to examine the assumptions underlying the document.

Ethical Codes and Learning Analytics

Stephen Downes: Half an Hour

Abstract The growth and development of learning analytics has placed a range of new capacities into the hands of educational institutions. The ethics of learning analytics will therefore need to be developed on criteria specific to education.

Managing Multiple Learning Managment Systems - The High Cost of Choice

Xyleme

Did you know that today there are approximately 500 Learning Management System vendors in the market? In fact, according to Bersin, 27% of companies utilizing learning management systems today are managing between two to five LMSs, with a small percentage managing six to ten-plus!

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Reflections on Smarter Healthcare Systems: Practical, Concrete, Expert Advice

Irving Wladawsky-Berger

Our panel of experts included Dr. Cortese; Chris Coburn - Executive Director of Innovations at the Cleveland Clinic ; Dr. Ronald Paulus - Chief Technology and Innovation Officer at the Geisinger Health System ; and Dr. Armando Ahued Ortega - Health Secretary of Mexico City. In anything as complex as healthcare, you need to design and architect a system that is implementable, flexible and adaptable to the myriads of requirements you will have to support now and in the future.

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Blockchain and Public Health Solutions

Irving Wladawsky-Berger

Incentive systems. Using next generation data analytics and AI they could understand the possible trajectories of a virus and take steps to crush it.”.

Irving Wladawsky-Berger: Reflections on Complex Systems

Irving Wladawsky-Berger

Home Archives Subscribe « The Web and the Long, "Soft" War | Main | The Life Cycle of a Business » April 16, 2007 Reflections on Complex Systems Last week I attended the Almaden Institute , a meeting held annually at IBMs Almaden Research Center , located in Silicon Valley.

The State of AI Adoption - High Performers Show the Way

Irving Wladawsky-Berger

A common theme throughout the report was that the same players who were leaders in the earlier waves of digitization and analytics were the early leaders in the AI wave.

Can Democracy and Free Markets Survive in the Coming Age of AI?

Irving Wladawsky-Berger

Machine learning is a statistical modelling technique, like data mining and business analytics , which finds and correlates patterns between inputs and outputs without necessarily capturing their cause-and-effect relationships. Can technology plan economies and destroy democracy?

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Getting on the AI Learning Curve: A Pragmatic, Incremental Approach

Irving Wladawsky-Berger

Two-thirds of the opportunities to use AI are in improving the performance of existing analytical use cases,” is the paper’s overriding finding. And, in the remaining 15% of cases, machine learning provided limited additional performance over existing analytical methods. .

Artificial Intelligence is Ready for Business; Are Businesses Ready for AI?

Irving Wladawsky-Berger

A successful program requires firms to address many elements of a digital and analytics transformation: identify the business case, set up the right data ecosystem, build or buy appropriate AI tools, and adapt workflow processes, capabilities, and culture.”. AI is now seemingly everywhere.

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Can AI Help Develop and Execute a Competitive Business Strategy?

Irving Wladawsky-Berger

The growth will come from productivity gains, - e,g, the continuing automation of routine tasks, and AI-based tools to augment human capabilities, - and from increasingly sophisticated, AI-enhanced products, services, and system-wide applications.

Design Principles for Complex, Unpredictable, People Oriented Systems

Irving Wladawsky-Berger

Business and business schools are supposed to be all about applying hard, that is, quantitative, analytical approaches to management. Analytical approaches work well when you have a pretty good understanding of the product you are developing or when you are dealing with a well defined problem. What do we mean by applying design principles to complex, unpredictable, people oriented systems and problems? But, socio-technical systems are oriented toward people and services.

Becoming a Data-Driven Business: Challenges and Opportunities

Irving Wladawsky-Berger

A few weeks ago, McKinsey published The age of analytics: Competing in a data-driven world , a comprehensive report on the state of big data, and in particular, on the challenges and opportunities a company faces as it strives to become a data-driven business.

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Digital Twin: Bringing the Physical and Digital Worlds Closer Together

Irving Wladawsky-Berger

A Digital Twin is essentially a computerized companion to a real-world entity, be it an industrial physical asset like a jet engine, an individual’s health profile, or a highly complex system like a city. A few weeks ago I first learned about a relatively new concept - Digital Twin.

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Deep Learning: Is it Approaching a Wall?

Irving Wladawsky-Berger

Similarly, when Google switched to its new deep learning AI system in late 2016, it achieved an overnight improvement in the quality of its machine translations roughly equal to the total gains that the previous program had accrued over its 10 year lifetime.

How to Support the Widespread Adoption of AI

Irving Wladawsky-Berger

The advent of PCs in the 1980s then made it possible to apply IT to front-office processes and applications, such as word processing in office systems, spreadsheets in data analysis, and customer support.

What Machine Learning Can and Cannot Do

Irving Wladawsky-Berger

Machine learning systems are not equally suitable for all tasks. While very effective in such domains, the authors remind us that ML systems are significantly narrower and more specialized than humans. ML systems have already surpassed human levels of performance in a number of tasks.

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Beyond Machine Learning: Capturing Cause-and-Effect Relationships

Irving Wladawsky-Berger

Each artificial neural unit is connected to many other such units, and the links can be statistically strengthened or decreased based on the data used to train the system. Artificial intelligence is rapidly becoming one of the most important technologies of our era.

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