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.

The Competitive Value of Data: From Analytics to Machine Learning

Irving Wladawsky-Berger

A recent article by NY Times reporter Steve Lohr discussed the rising importance of data as a major competitive differentiator. In his NY Times article , Lohr cautions that standard antitrust arguments may not be so easy to make in this new era of data competition.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

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. I mean, who does believe in data, or facts, nowadays anyway, right?

Big Data & Analytics in Recruiting

Kevin Wheeler

Big data and analytics are just beginning to be tapped for recruiting and learning, but their future growth will depend on HR practitioners understanding of what big data and analytics can do for them, their willingness to use the data to make decisions and change behavior, and agreement around privacy and ethical use of this […]. The post Big Data & Analytics in Recruiting appeared first on Over the Seas.

Learning Analytics Courses

George Siemens

After about a year of planning, we can finally announce the following courses on edX focusing on learning analytics. The intent of these courses is to eventually lead into a MicroMasters and then advance placement in an in-development Masters of Science in Learning Analytics at UTA. Each course runs about three weeks and we’ve tried to settle on prominent analytics tools for educational data so the experience is one where skills can immediately be applied.

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? Regardless of how they are answered, however, ours is a data-rich world and will only continue to become more so.

Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

But, it wasn’t until the past two decades that we finally had enough data, powerful computers and sophisticated mathematical algorithms to develop quantitative theories of human social interactions. Endor is focused on making fast, accurate predictions using data derived from human behavior.

Journal of Learning Analytics

George Siemens

Interest in learning analytics is growing. It’s a data centric world and will only become more so in the future. From my biased view, it is critical that educators are aware of the role of analytics in education because of the heaving influence algorithms, data, and analytics have on teaching, learning, and decision making in schools, colleges/universities, and corporate settings. SoLAR just announced the inaugural issue of Journal of Learning Analytics.

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 his opening remarks at the workshop, Pentland talked about Big Data and Health.

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.

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. It’s a data-centric world. Data, and the analysis of that data, are a rapidly emerging economic value layer.

Learning Analytics: Higher Education

George Siemens

Educational datamining and learning analytics are getting substantial attention in education. With learning analytics in particular, the term has come to mean anything and everything that involves data in learning. Learning Analytics: Higher Education

Open Learning Analytics: A proposal

George Siemens

Learning analytics are increasingly relevant, and prominent, in education. Startups and established software vendors are targeting learning analytics in their product offerings for the education and training and development sector.

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.

Traditional Data Analysis and Data Science

Irving Wladawsky-Berger

I recently participated in an industry panel on Redefining BI & Analytics in the Cloud at a conference in New York. In my opinion, data science should be viewed as a multidisciplinary evolution from business intelligence and analytics.

The need for innovation across boundaries and the power of big data analytics

Ross Dawson

Big data analytics was probably rightly at the top of the list in terms of potential, though it is probably only a minority of companies that will truly tap that potential.

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?

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. About 20 of the conference attendees are regular keynote presenters in mainstream educational conferences and leaders in fields of learning design, openness, semantic web, data analysis, and social network analysis. Are analytics the “universal decoder&# for education reform?

Attend (online) the Learning Analytics Summer Institute

George Siemens

Last year, we held the Learning Analytics Summer Institute (LASI) at Stanford. Our interest and mission with the Society for Learning Analytics Research is to make data and algorithms open and accessible to researchers in order to create transparency around how analytics are being used in teaching and learning. If you are interested in learning analytics and how they are being deployed by researchers and students, please join us online.

Big Data Takes Center Stage

Irving Wladawsky-Berger

A few recent articles have expressed concerns that big data may be at the peak of inflated expectations in the so-called hype cycle for emerging technologies, and will soon start falling into the trough of disillusionment. So is big data. .

Data 238

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.

Data 199

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. Educational data is complex. Different state and provincial agencies collect a range of data on learner and institutional performance.

Cognitive Systems and Big-Data-driven Applications

Irving Wladawsky-Berger

The need for such systems is a result of the explosive growth of data all around us. players, - was that the very process of analyzing data increases the amount of data by orders of magnitude. . This is challenging our ability to store and analyze all that data.

System 273

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.

Data-Driven Decision Making: Promises and Limits

Irving Wladawsky-Berger

Given the explosive growth of big data over the past decade, it’s not surprising that data-driven decision making is one of the most promising applications in the emerging discipline of data science. . Neither is good data-driven decision making.

Data 244

Learning to Apply Data Science to Business Problems

Irving Wladawsky-Berger

This past semester I was involved in an interesting course at MIT’s Sloan School of Management , - Analytics Labs (A-Lab). A-Lab’s objective is to teach students how to use data sets and analytics to address real-world business problems.

Data 207

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. All that data cries out to be parsed, analyzed, interrogated, tortured, and visualized. The data being generated could provide valuable insight into teaching and learning practices.

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. This is an important model and one that will give universities greater control over, or at least access to, data as well as helping to develop faculty competence with technology and distributed networked courses.

Data Science - the Emergence of a New Discipline

Irving Wladawsky-Berger

Data Science is emerging as a hot new profession and academic discipline. Data Scientist: the Sexiest Job of the 21st Century is the title of a recent Harvard Business Review article. They note that demand for data scientists is racing ahead of supply. What is data science? ,

Data 251

Reflections on Big Data, Data Science and Related Subjects

Irving Wladawsky-Berger

CUSP’s research and educational programs are centered on urban informatics , - “the acquisition, integration, and analysis of data to understand and improve urban systems and quality of life.” Big Cities + Big Data and Bringing Urban Data to Life are prominently displayed in its website.

Data 271

Why Do We Need Data Science when We’ve Had Statistics for Centuries?

Irving Wladawsky-Berger

Data Science is emerging as as one of the hottest new professions and academic disciplines in these early years of the 21st century. A number of articles have noted that the demand for data scientists is racing ahead of supply. So, what is data science all about?

As Big Data and AI Take Hold, What Will It Take to Be an Effective Executive?

Irving Wladawsky-Berger

Big data , powerful analytics and AI are everywhere. First, much still needs to be done to create the proper data sets that would enable intelligent computers to assist in decision-making.

Data 268

Bravais 3.0: Taking Learning Beyond the LMS to Analytics & Personalization

Xyleme

Gathering intelligence requires tracking and analytics - enter the Tin Can API, or xAPI. While this updated standard holds great promise for its potential to collect data across a wide range of experiences (mobile, simulations, informal, etc.),

Reflections on the Education of Applied Data Scientists

Irving Wladawsky-Berger

About a year ago, an article in the Harvard Business Review called data scientists the sexiest job of the 21st century. Patil , succinctly defined data scientist as “a high-ranking professional with the training and curiosity to make discoveries in the world of big data.”.

Data 230

Organizing Big Data Initiatives: Lessons from the Internet

Irving Wladawsky-Berger

In a recent CIO Journal article, Is There a Leadership Vacuum for Big Data? , About 80 percent of the participating companies said that they were already using big data and analytics to a greater or lesser extent.

Data 208

Data, Data Everywhere

George Siemens

This article has been an open tab on my browser for a few months (tabs are just another way to store massive amounts of information that I’ll likely never get to): Data, Data Everywhere : All these examples tell the same story: that the world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly.

Data 136

Ideas, Experts and Data

Harold Jarche

Data Enslavement – by @ballantine70. Here are some observations and insights that were shared on social media this past fortnight. I call these Friday’s Finds. “ We don’t see something until we have the right metaphor to let us perceive it.”

Data 235

Dreamforce 2014: Converging on cloud, apps, mobile, analytics, and community

Dion Hinchcliffe

The vision Salesforce has for market-facing engagement is the right one: Tear down data, app, and user experience silos between marketing, sales, operations, and support. Apps Tech Industry Tablets Software Salesforce.com Mobility Cloud CXO Big Data Leadership But does their cloud measure up to this vision yet?

Learning Analytics: Big Data Applied to Training, Teaching, and Learning

Beth Kanter

Learning Analytics comes from a report about the impact of emerging technologies for practitioners in a field. Two or three years to adoption: Learning Analytics (K-12/Higher Ed), Open Content (K-12), Games and Gamification (Higher Ed). Learning and Knowledge Analytics.

Analytics Training Isn’t Enough, Skill, re-skill and re-skill again, Hone Your Data B t Detector, and more

Jane Hart

MWL Newsletter No 25: News and articles about Modern Workplace Learning (MWL) selected by Jane Hart for the week 30 July – 5 August 2017. Social learning

Skills 120

Big Data at Google

Jay Cross

To see Big Data at work, look to Google, where number-crunching on a massive scale has changed hiring and management practices. Measurements and analytics rule at Google. All people decisions at Google are based on data and analytics,” according to Kathryn Dekas, a manager in Google’s “people analytics” team. Google’s conclusions have a bearing on where CLOs should be focusing their efforts.

Data 148

Positivism and Big Data

Stephen Downes: Half an Hour

She writes, data scientists use their quantitative measure, as positivists do, by putting a large number veneer over their research This misrepresents positivism, just as Nathan Jurgenson does in his original article. We can apply these principles to big data analytics, of course, and we can use the standard criticisms of positivism to do it: Underdetermination – this is the ‘problem of induction’ or the ‘problem of confirmation’.

Data 168

Analytics – The Usability Lab of the new decade

Adaptive Path

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. We’ve known about analytics, multi-variant and A/B testing, and the like for over a decade. Companies like Amazon have demonstrated just how powerful it is to instrument your site and use that data to drive key decisions. Google Analytics is free.