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. Many of the companies that serve the higher education market– including Sungard, Blackboard, and Pearson – are already heavily committed to analytics. In education, everything is becoming “data” and “analytics”).

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. Earlier this year, the startup announced Endor.Coin, an analytics platform designed to reinvent AI predictions by making them easily accessible to companies and individuals with no data science or AI expertise, thus aiming to become a kind of Google for predictive analytics.

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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.

The Competitive Value of Data: From Analytics to Machine Learning

Irving Wladawsky-Berger

Business analytics predates the big data era. Beyond business analytics, new data science methods could now be used to extract actionable knowledge from all that data, that is, knowledge to help make better decisions and predictions. A recent article by NY Times reporter Steve Lohr discussed the rising importance of data as a major competitive differentiator.

The New Era of Smart, Connected Products

Irving Wladawsky-Berger

An equally optimistic view was expressed in another excellent article, - How Smart Connected Products are Transforming Competition , - published in the November issue of the Harvard Business Review by Michael Porter and James Heppelmann. . We generally think of products as physical entities, - e.g., clothes, light bulbs, appliances, cars, - some quite simple and some much more complex, built using sophisticated mechanical and/or electrical components.

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

Xyleme

Products Post Type: Blog post. What should come as news to, well, no one, is that in the age of search, social, mobile, and now, wearable technologies, learner expectations have changed dramatically. What should also come as no surprise is that corporate Learning & Development (L&D) organizations have been slow in responding to these changes, with over 80% of training still delivered in a formal manner via ILT, virtual and self-paced eLearning. read more.

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. Heck, 5 years ago, Adaptive Path began work on what became Measure Map, an analytics tool designed specifically for bloggers, our reaction to a marketplace full of bloated tools.

Impact of Data Analytics in Today’s Digital Workplace

elsua: The Knowledge Management Blog

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? A global software firm that builds solutions around data analytics for collaborative environments, whether for traditional tools like email, to cloud-based productivity apps like Microsoft Teams, to Enterprise Social Networking platforms like HCL Connections. Anyway, back to data analytics.

Productivity tools for the networked workplace

Harold Jarche

These tools are ubiquitous in business and government, so I have agreed to write a few articles on how they can be used to improve work productivity. IT has to make us more productive, smarter.”. I developed my enterprise social network tool analytical framework at the request of a client who wanted to know what mix of platforms and tools was optimal for collaboration and knowledge sharing. Office 365 productivity tools from Harold Jarche.

Solow Paradox 2.0: The Lagging Impact of Technology Advances on Productivity Growth

Irving Wladawsky-Berger

Our aging economies are thus dependent on productivity gains to drive long-term economic growth , future prosperity and higher standards of living. Which is why few topics have generated as much concern among economists and policy makers as the sharp decline in productivity growth in the US and other advanced economies over the past decade, - despite accelerating technology advances. Their average productivity growth in the 5 years between 2000 and 2004 was 2.4%.

Become a More Productive, Empathetic, Creative Person With the Help of AI-Based Tools

Irving Wladawsky-Berger

Despite dramatic advances in technology, most of the world’s economies have been stuck in a long period of slow growth and slow productivity. In a recent article in the MIT Sloan Management Review , MIT Research Fellow Michael Schrage proposed a provocative and counterintuitive approach for enhancing innovation and productivity through man-machine collaborations. We’ve long been leveraging technology to help increase productivity.

Reflections on Innovation, Productivity and Job Creation

Irving Wladawsky-Berger

I have also been thinking a lot about the impact of these innovations on the productivity of the service sector of the economy in general, and in particular, on the kinds of jobs that we can expect to be created over the next decades to replace those jobs that might decline or disappear as a result of such productivity improvements. Although there are numerous technological innovations that have improved the productivity of services over the past century (e.g.,

Digital Analytics Basics: Free Online Academy from Google

Beth Kanter

For many nonprofits, Google Analytics is the tool of choice for measuring traffic, reach, engagement, and action primarily because it is free. While it is somewhat easy to use, some of the more valuable features may require a little tutoring to understand and use. But applying it on your own – unless you are an analytics genius – can be difficult. The instructor is Google Analytics Evangelist Andrew Cutroni.

Leveraging Commercial Best Practices to Maximize Government Productivity

Irving Wladawsky-Berger

On October 6, the Technology CEO Council released its report One Trillion Reasons: How Commercial Best Practices to Maximize Productivity Can Save Taxpayer Money and Enhance Government Services. By harnessing major technological shifts and adopting best business practices, we can not only make our government far more productive, but also foster greater innovation in areas ranging from healthcare to education and energy – innovation that will generate economic growth and job creation. “We

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. It may be argued that the relation between ethics and law is such that in a treatment of the ethics of learning analytics we ought also to be concerned with the law in relation to learning analytics.

Announcing Bravais 1.2!

Xyleme

Users that have both Xyleme LCMS and Bravais have a huge advantage- consolidated analytics. Because all outputs are always linked to the single-source content, Bravais can consolidate how the same source content is accessed through different outputs and delivery channels, bringing a whole new dimension to learning content analytics. include: Analytics API: User access to tracking data and allows users to plug in third party reporting tools like SAP Crystal Reports. Bravais 1.2

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. To ascertain whether AI is delivering meaningful value, the survey asked about 33 specific AI use cases across eight different business functions: marketing and sales, product and service development, supply-chain management, manufacturing, service operations, strategy and corporate finance, risk management, and HR.

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. For the vast majority of the use cases, 69%, the key value of machine learning is to improve performance beyond that provided by traditional analytic techniques. And, in the remaining 15% of cases, machine learning provided limited additional performance over existing analytical methods. .

IBM’s Social Business Jam – The Fun Part Starts Now!

Luis Suarez

but then get all of that input coming across nicely when analytics kick in, which is the next phase we are entering now. IBM Innovation Knowledge Management Knowledge Tools Productivity Tools Social ComputingYes, IBM ‘s Social Business Jam is now over, actually, it finished already on Friday noon EST last week, but the fun part starts now!

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. For the vast majority of the use cases, 69%, the key value of machine learning is to improve performance beyond that provided by traditional analytic techniques. And, in the remaining 15% of cases, machine learning provided limited additional performance over existing analytical methods. .

Free Sales Tools Reps Can’t Live Without

Xyleme

Since many sales brands are pivoting to product-led growth, spurred on by a culture of try-before-you-buy, sales reps have a plethora of free sales prospecting tools to choose from. It’s important to note that there are no one-size-fits-all sales productivity tools.

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How to Emerge Stronger in the Post-Pandemic New Normal

Irving Wladawsky-Berger

Such a digital recovery will include “technology-enabled next-generation operations, analytics-enabled engineering productivity, and automation of service-related processes.”. Physical products and services have evolved and been perfected over many, many years. “What now?,”

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Training Industry Names Xyleme as a Top Learning Portal/LMS Companies 2018 Company to Watch

Xyleme

In the last year, Xyleme introduced a new Learner-Portal as a part of their Content Distribution Service (CDS) product. This allows LMS users to access CDS content using their normal LMS, and get the benefits, including analytics, that CDS provides. Xyleme continues to push the envelope of analytics by releasing an ultra-scalable learning analytics engine which includes a Learning Record Store (LRS) and utilizes xAPI.

IBM’s Social Business Jam – Are You Jamming Yet?

Luis Suarez

With the end result to then run some analytics to evaluate the results and propose some new initiatives that may come out as a result of the Jam itself. IBM Innovation Knowledge Management Knowledge Tools Learning Personal KM Productivity Tools Social ComputingWhat an exciting 10 days it’s been so far! Absolutely wonderful!

The AI Factory: A New Kind of Digital Operating Model

Irving Wladawsky-Berger

Scale, scope, and learning are generally considered the key drivers of a firm’s performance, helping them achieve higher levels of production and lower units costs.

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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. Big data ,- including analytics , data science , artificial intelligence and related information-based technologies - are now everywhere. “Is

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The Emergence of Industry 4.0

Irving Wladawsky-Berger

Industrial revolutions are momentous events,” said A Strategist Guide to Industry 4.0 , - a 2016 article in strategy+business. “By most reckonings, there have been only three.” The First Industrial Revolution , - starting in the last third of the 18th century, - introduced new tools and manufacturing processes based on steam and water power, ushering the transition from hand-made goods to mechanized, machine-based production.

Reflections on the Later Stages of Our Careers

Irving Wladawsky-Berger

A few parameters account for most individual differences: the age at which the career starts, the career’s initial creative potential, the rates at which new ideas are generated, and the rate at which the ideas become finished results as publications or products.

Content as a Service

Xyleme

As instructional designers, we create our learning products, package them up with all the content and media, wish them well, and ship them off to the LMS’s – never to be seen again. Tracking of use and analytics. This data set can be used to generate powerful analytic tools that can measure an individual’s strengths and weaknesses, and use this information to drive personalization. (In In future blog posts, I’ll elaborate on how analytics can drive personalization.).

Competing Against “Digital Invaders”

Irving Wladawsky-Berger

After analyzing the survey data, - including the use of Watson Analytics to extract inferences from open-ended responses, - IBM published its findings in Redefining Boundaries: Insights from the Global C-suite Study. Overall, “it’s the confluence of different technologies that holds the greatest promise,” such as the combination of AI-based smart products and advances in bioengineering to improve healthcare, or new cloud-based business models combining mobility and data sharing.

The Emergence of Industry 4.0

Irving Wladawsky-Berger

Industrial revolutions are momentous events,” said A Strategist Guide to Industry 4.0 , - a 2016 article in strategy+business. “By most reckonings, there have been only three.” The First Industrial Revolution , - starting in the last third of the 18th century, - introduced new tools and manufacturing processes based on steam and water power, ushering the transition from hand-made goods to mechanized, machine-based production.

dwindling jobs

Harold Jarche

From routine jobs doing production work, to innovative jobs doing thinking work, we are seeing a shift in the nature of jobs and work. In Only Humans Need Apply , the authors note that one phenomenon of machine automation and augmentation is a decrease in entry-level jobs.

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humans working socially

Harold Jarche

manufacturing production in the USA is increasing but jobs are not. In addition, when we combine the analytical capabilities of machines, we can develop machine-assisted processes and tap into machine expertise in order to do even more complex and creative work. A lot of traditional human work is getting automated , by machines or software. routine cognitive work is declining. even the banking sector may see a 30% job reduction.

Two-Speed IT Architectures

Irving Wladawsky-Berger

Align technology and production systems with business goals. . Focus on agile product development to enhance customer engagements. . Encourage product managers to think about digital experiences rather than discrete applications or components. . In the 1980s, they embraced personal computers, workstations and client-server systems along with personal productivity and front-office applications. Digital Product Management .

What is stopping companies from measuring learning: Skillsets, datasets, toolsets or mindsets?

Xyleme

In one of our recent posts, " Why you need to take a Google Analytics approach to measuring learning ," we lay the foundation of our perspective regarding L&D''s constant battle for greater relevance in business strategy and planning. In short, learning and development organizations and departments are suffering from an analytics crisis. Accordingly, many business leaders adopt a perspective that places L&D expenses alongside product development, for example.

Organizing Big Data Initiatives: Lessons from the Internet

Irving Wladawsky-Berger

my fellow guest columnist Tom Davenport reflected on whether institutions should appoint a dedicated executive to oversee their company-wide big data and analytics initiatives, and if so, which C-level senior executives should such a position report to. About 80 percent of the participating companies said that they were already using big data and analytics to a greater or lesser extent. There is, in many companies, a leadership vacuum for Big Data and analytics.”.

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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. The growth in big data and analytics is transforming decision-making, operations, marketing, finance, and product innovation,” notes the A-Lab Syllabus as it describes the objectives of the course.

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Flows, Fragility and Friction

John Hagel

For example, in the case of trading markets, it might take the form of buffers that require some reflection or more analytics before acting upon information. In the case of individuals interacting with each other, productive friction might come from welcoming others with diverse perspectives and experiences as an opportunity to challenge our own beliefs and evolve to much more creative approaches than would be likely if we just interact with others who have similar perspectives.

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.”. A common theme throughout the report is that the same players who were leaders in the earlier waves of digitization and analytics are now leading in the AI wave. AI is now seemingly everywhere.

How to Support the Widespread Adoption of AI

Irving Wladawsky-Berger

But during this period of rapid IT growth, US labor productivity grew at only 1.5% You can see the computer age everywhere but in the productivity statistics,” said MIT Nobel Prize laureate economist Robert Solow in 1987, in what’s become known as the Solow productivity paradox. Having business and operational people work side by side with analytics experts will ensure that initiatives address broad organizational priorities, not just isolated business issues.

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. In today’s data-rich markets, top business leaders rely heavily on analytics and quantitive measures to define, communicate and drive strategy.

Rejected: On being disappointed, sorta

George Siemens

However, the focus of this research chair on learning innovation and analytics captured my interest and I decided to apply (obviously informing my colleagues at Athabasca University of my intent. Whether as a startup, in my current role, or something else entirely, the intersection of social media, analytics, new pedagogical models, and networked learning are a lucrative and provocative area of exploration. Corporate partnerships with organizations involved in learning analytics.

Mindset and Heartset

John Hagel

In these cultures, the belief is that if you have the right data and perform the right analytics you can deliver whatever is needed. Many factors are fostering this fear, but one key factor is the mounting performance pressure that is a product of the Big Shift transforming our global economy and society. Is mindset all there is?