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. A short intro video to the goal of the symposium: From the symposium description: While research in learning analytics has advanced, limited attention has been paid to the larger policy and strategy considerations that influence the adoption and deployment of analytics in educational settings.

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.

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Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

These social physics patterns have been tested across a variety of applications involving people, including strategy formulation in business, economic activity in cities, and, - working with an intelligence agency, - the detection of potential terrorist activity based on Twitter data. 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.

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”).

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: . Complex Systems Data Science and Big Data Education and Talent Healthcare Systems Innovation Management and Leadership Political Issues Services Innovation Smart Systems Society and Culture Technology and Strategy

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?

The Challenges of Executing a Transformational Strategy

Irving Wladawsky-Berger

This year’s Symposium will be focused on the challenges of executing a digital transformation strategy. It’s no longer enough to have formulated a digital strategy for the business. And, having a strong digital foundation gives those companies a leg up in embracing data analytics , AI , blockchain , and other advanced technologies, further widening their advantage. “The time for merely thinking digital has passed; the future belongs to the doers,” notes the Symposium’s website.

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 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.

Can AI Help Develop and Execute a Competitive Business Strategy?

Irving Wladawsky-Berger

But, can AI help address broad, open-ended and ambiguous problems like developing and executing a competitive business strategy? Strategy typically involves a series of interrelated steps, including analyzing the overall business and market environment; setting one or more end goals; formulating a high level plan to achieve the end goals; and mobilizing resources to execute the plan. Strategies express what company leaders seek to emphasize and prioritize over a given time frame.

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.

The Challenges of Executing a Transformational Strategy

Irving Wladawsky-Berger

This year’s Symposium will be focused on the challenges of executing a digital transformation strategy. It’s no longer enough to have formulated a digital strategy for the business. And, having a strong digital foundation gives those companies a leg up in embracing data analytics , AI , blockchain , and other advanced technologies, further widening their advantage. “The time for merely thinking digital has passed; the future belongs to the doers,” notes the Symposium’s website.

Blogging Strategies

Clark Quinn

There's a bit in there on blogging strategies, but the reality is that when I go back and look at my previous posts on what your personal strategy should be around blogging, I'm not finding that much. And one of the course members raised a really interesting question in the Forum around blogging strategies: Matthew, how has blogging changed the way you think? I have people that follow my blog; I know this from both statcounter and google analytics.

Education Technology Strategies - Day One

Stephen Downes: Half an Hour

The top 10 opportunity costs for single source content strategy

Xyleme

When you think about your company''s digital learning content strategy, what''s the first thing that comes to mind? Measuring opportunity costs for digital learning content policies helps expose opportunities and strategies that organizations can use to identify and overcome limitations in skillsets, methodologies, content management and delivery systems, tools and technologies. Business leaders receive meaningful and actionable learning analytics.

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Three Analytics Tools to Gauge Your Social Audience’s Pulse

Beth Kanter

We talk about finding the right tool for the data collection job and tools come in three different categories: analytics tools, content analysis, and surveys. Analytics tools like the ones described below are good for measuring actions and engagement. Three Analytics Tools to Gauge Your Social Audience’s PulseGuest Blog by Ritu Sharma, Co-Founder & Executive Director, Social Media for Nonprofits.

What Social Media Analytics Can’t Tell You About Your Audience

Beth Kanter

What is important is that when you look solely at your social media analytics – say for example what content gets the most views or engagement, the data represents only one part of your audience. And while lurkers make up more than half of a company’s social media audience, they only account for 5% of the content captured by social media analytics.

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.

Ten IT Predictions for the Post-Pandemic New Normal

Irving Wladawsky-Berger

To better execute their new digital strategies and business models, 80% of enterprises will overhaul their relationship with suppliers, provides and business partners by 2024.

Please Vote for SXSW 2014 Panel: What Social Media Analytics Can’t Tell You

Beth Kanter

What Social Media Analytics Can’t Tell You. Here’s the description: Social media analytics can help you understand the active members of your social media audience, but what about the people who aren’t posting? How do you fill in the gaps in your analytics with insights into your customers’ purchases, your fans’ offline interests, or your users’ reasons for liking what they like? That’s the title of my proposed panel for SXSW 2014.

Successful Social Media Content Strategy Is A Continuous Improvement for Nonprofits

Beth Kanter

I taught a section on developing and implementing an effective content strategy after some exercises to help participants identify target audiences, create personas, measurable objectives, and channels. It struck me that an effective nonprofit content strategy is a process of continuous improvement. Does your organization develop and implement your social media content strategy as a continuous process?

Addressing fear in learning

Clark Quinn

design strategyOne of my mantras in ‘make it meaningful ‘ is that there’re three things to do. And one of those was kind of a toss away, until a comment in a conversation with a colleague brought it home. So here’s a first take at addressing fear in learning.

How to Emerge Stronger in the Post-Pandemic New Normal

Irving Wladawsky-Berger

But, how can a company, - regardless of size or industry, - formulate a rebuilding strategy for the longer term in such an uncertain environment? “What now?,”

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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.

Strategy & Business Lists Hard Facts Among Decade's 10 Most.

Bob Sutton

interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. Why Managing by Facts Works: Strategy+Business. Converting Strategy Into Action. Pankaj Ghemawat: Redefining Global Strategy: Crossing Borders in a World Where Differences Still Matter. May: The Shibumi Strategy: A Powerful Way to Create Meaningful Change. Phillips: Lincoln on Leadership: Executive Strategies for Tough Times.

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Source Codes: The Most Useful Measurement Strategy You May Not Be Using

Beth Kanter

Source Codes: The Most Useful Measurement Strategy You May Not Be Using – Guest Post by Laura Quinn. If you want more power, check out the Google URL Builder: https://support.google.com/analytics/answer/1033867?hl=en. If you’re tracking website analytics with Google Analytics, you can easily use it to see the traffic to each different URL. You’re likely using more than one channel to communicate.

Two Free E-Books for Nonprofits on Fundraising, Marketing, and Content Strategies

Beth Kanter

Improving Direct Marketing Response with Online Advertising by Richard Becker, President of Target Analytics. E-Book #1: Fundraising and Marketing Tips for Nonprofits. I’m thrilled to announce that I contributed to: npEXPERTS: Fundraising Ideas and Marketing Tips from the Pros (#npEXPERTS), a 46-page free e-book collaboratively written by a cross-section of npEXPERTS in fundraising, marketing and communications, social media, mobile technology, digital advertising, and more.

George Siemens #iel12 Keynote Mindmap

Clark Quinn

George Siemens delivered an enlightening talk contextualizing analytics, tying the need for more effective coupling in decision making with new types of data. meta-learning strategy

Matt May's Shibumi Strategy: What a Lovely Book! - Bob Sutton

Bob Sutton

interview Pixar Brad Bird - Innovation lessons from Pixar Director Brad Bird - Strategy - Innovation - The McKinsey Quarterly. Why Managing by Facts Works: Strategy+Business. Converting Strategy Into Action. Pankaj Ghemawat: Redefining Global Strategy: Crossing Borders in a World Where Differences Still Matter. May: The Shibumi Strategy: A Powerful Way to Create Meaningful Change. Phillips: Lincoln on Leadership: Executive Strategies for Tough Times.

How To Use Negative Feedback on Facebook To Improve Your Content Strategy

Beth Kanter

I’m sure there are other analytics programs that will automatic the data jujitsu for you. Flickr Photo by Damian Devilla. Facebook recently made a change to the EdgeRank Algorithm that increased the importance of Negative Feedback. Negative feedback on Facebook is when a user will hide, hide-all or unlike your content. Hiding content is like deleting an email without reading it or hitting the spam button.

What is wrong with (higher) education?

Clark Quinn

The Predictive Analytics work that Ellen Wagner did is the type of opportunity we have here. design meta-learning strategyI was having a conversation with a colleague, sparked by dropping enrollments in unis. Not surprisingly, we ended up talking about flaws in higher education.

Reconnecting Society and Reopening the Economy

Irving Wladawsky-Berger

The research team built a model that allowed them to explore different strategies for the lifting of social distancing interventions in conjunction with testing, the isolation of those who test positive, and the tracing and quarantining of their exposed contacts.

After Years of Promise and Hype, Is AI Once More Failing to Deliver?

Irving Wladawsky-Berger

One of deep learning’s key features is that, unlike classic analytic methods, there’s no asymptotic data size limit beyond which it stops improving.

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The AI Factory: A New Kind of Digital Operating Model

Irving Wladawsky-Berger

The business model encompasses the overall strategy of the firm, including how it seeks to differentiate itself from competitors by monetizing its unique set of goods or services.

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Blockchain and Public Health Solutions

Irving Wladawsky-Berger

Using next generation data analytics and AI they could understand the possible trajectories of a virus and take steps to crush it.”. Artificial Intelligence Blockchain and Identity Complex Systems Data Science and Big Data Economic Issues Healthcare Systems Innovation Management and Leadership Political Issues Society and Culture Technology and Strategy

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.

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. Artificial Intelligence Complex Systems Data Science and Big Data Economic Issues Management and Leadership Political Issues Smart Systems Society and Culture Technology and StrategyCan technology plan economies and destroy democracy?

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Social Physics and Cybercrime Detection

Irving Wladawsky-Berger

These patterns can be used to detect emerging behavioral trends before they can be observed by other data analytics techniques. Endor’s analytics engine identified 80 Twitter accounts as potential EOIs because they were similar enough to the positive samples that the agency provided. Artificial Intelligence Data Science and Big Data Digital Money and Payments Economic Issues Innovation Services Innovation Smart Systems Technology and Strategy

How to Transform a “Big, Old” Company into an Agile Digital Business

Irving Wladawsky-Berger

Many of these established companies have already deployed mobile apps, cloud computing and data analytics, and have brought to market a variety of digital products and services. Business leaders create organizational structures to help manage the overall strategy of the company, - a kind of divide and conquer approach that focuses the efforts of each unit on delivering a specific set of outcomes.

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. The study found that CxOs rely primarily on traditional techniques to help identify new trends, such as brainstorming and predictive analytics. Cloud Computing Economic Issues Innovation Management and Leadership Technology and Strategy

Globalization in Transition

Irving Wladawsky-Berger

Global operation strategies. Given these major shifts in value chains, McKinsey recommends that companies reevaluate their global operation strategies. Complex Systems Economic Issues Future of Work Innovation Management and Leadership Political Issues Services Innovation Society and Culture Technology and StrategyI recently read two interesting reports on the state of globalization in 2019, one by The Economist, the second by the McKinsey Global Institute.

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The Business Value of Resilience

Irving Wladawsky-Berger

In a fast changing, unpredictable economy, companies face a growing number of potential disruptions to their best laid strategies, including technology advances, global competition, and turbulent markets. Promote patient capital. “[L]ong-term capital is far more helpful to a company trying to create and deploy a long-term strategy than short-term capital is… we should base voting rights on the period for which capital is held.

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