Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

As long as the data involves human activity, - regardless of the type of data, the demographic of the users or the size of the data sets, - similar behavioral dynamics apply. 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.

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?

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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. According to the National Human Genome Research Institute : “A phenotype is an individual’s observable traits, such as height, eye color, and blood type. 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: . CATCH is investigating several such new types of phenotype measurements: .

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.

Why you need to take a Google Analytics approach to measuring learning

Xyleme

Post Type: Blog post. Did you know that, according to Bersin, less than half of the L&D organizations they survey feel they are perceived by their stakeholder leadership as a strategic business partner? read more. Learning & Development

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

Xyleme

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. Products

Why you need to take a Google Analytics approach to measuring learning

Xyleme

If L&D took a Google Analytics approach to learning, they could. I''ve pulled together some of the most important Web analytics metrics that we regularly review and report to the business here at Xyleme, along with the reasons why they matter. Typical Google Analytics Metrics Visitors: How many unique learners visited the learning content , and how many pages, topics, videos, content nuggets, courses etc.

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. And, NTEN is the first stop for nonprofits to go for this type of field level of research and coverage. For those of us who also focused on training, instruction, and professional learning for nonprofits, the New Media Consortium , has been charting the landscape of emerging technologies in teaching, learning, and creative inquiry on a global scale for the past ten years.

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

The research revealed that social media users fall into three broad types: Lurkers post on social networks once a week or less. 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.

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? How do different types of social media users (e.g.

Online Community Purpose Checklist | Full Circle Associates

Nancy White

Type of Participant Interactions To achieve your purpose, you generally design a set of activities. Plan for longer time frames in this type of setting. 11/26/2009 HANH Le # uberVU - social comments on 14 Jan 2010 at 7:02 am Social comments and analytics for this post… This post was mentioned on Twitter by lordorica: Community builders can get a jumpstart using Nancy White’s Online Community Purpose Checklist.

My Old Online Facilitation Workshop Materials | Full Circle Associates

Nancy White

Online Facilitation Course Curriculum Rev Aug 2002 Share and Enjoy: 13 responses so far 13 Responses to “My Old Online Facilitation Workshop Materials&# # uberVU - social comments on 30 Dec 2009 at 10:24 am Social comments and analytics for this post… This post was mentioned on Twitter by NancyWhite: Setting my old online facilitation curriculum into the wild [link]. #

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

Game Learning Analytcs for Evidence=Based Serious Games

Stephen Downes: Half an Hour

hindsight – insight – foresight - Needs all the dat - Now being used in MOOCs, because they have so much data Game Learning Analytics (GLA) - Learning analytics applied to serious games - Collect, analyze and visualize Uses of GLA - Game testing – eg., stealth’ student evaluation - Formal game evaluation RAGE – game analytics (using xAPI) Beaconing – game deployment GLA or Informagic?

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

In this article, we’ll explain the types of free sales tools, their uses, and how to build a sales software stack that helps you find and close more business. Types of Free Sales Tools 3. Types of Free Sales Tools.

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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. 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. .

e-Clippings (Learning As Art): Spyware Alert - Thx to DArcy Norman

Mark Oehlert

e-Clippings (Learning As Art) Home Archives Subscribe About My Social Networks « "Games trainers play" (Washington Business Journal) | Main | Foucault, Control and the LMS » April 21, 2007 Spyware Alert - Thx to DArcy Norman A big shout out to DArcy Norman for noticing that Sitemeter (yes, I know Im not linking to it.thats on purpose), a web site analytics tool that I also have been using, has recently begun "inserting cookies for an advertising company.

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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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.”. “What now?,”

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Mobile Learning: Making Content Available Anytime, Anywhere

Xyleme

Mobile learning, also called M-learning or mLearning, is any type of content that is developed or consumed on mobile devices, such as smartphones and tablets, and including anything from podcasts to full eLearning courses. Whether searching for just-in-time information or taking a formal learning course, this type of varied mobile interaction isn’t out of the ordinary in today’s workforce.

What is wrong with (higher) education?

Clark Quinn

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

Mobile Learning: Anytime, Anywhere

Xyleme

Mobile learning, also called M-learning, is any type of content that is developed or consumed on mobile devices, such as on smartphones and tablets. Whether searching for just-in-time information or taking a formal learning course, this type of varied mobile interaction isn’t out of the ordinary in today’s workforce. This can be anything from podcasts to taking a full eLearning course. According to Pew Research , virtually all Americans – 96%, currently own some kind of cellphone.

humans working socially

Harold Jarche

Therefore we should not compete with the machines for the type of work they do well, requiring — perseverance, compliance, intelligence, and diligence. 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.

LMS vs. LCMS

Xyleme

Also, LMSs do not provide IDs with the deep analytics required to understand what content is working and what content is not. . Informal learning, mobile learning, and social learning strategies ( the blended learning approach ) are easily managed with an LCMS, as the LCMS separates content from presentation, creates content in bite-size pieces, and allows IDs to create and deliver all types of learning. Analytics API.

Social Physics and Cybercrime Detection

Irving Wladawsky-Berger

As long as the data involves human activity, - regardless of the type of data, the demographic of the users or the size of the data sets, - similar behavioral dynamics apply. 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.

Digital Learning Research Network Conference 2016

George Siemens

We have updated our dLRN research website with the current projects and related partners …in case you’d like an overview of the type of research being conducted and that will be presented at #dLRN16. Using Learning Analytics to Design Tools for Supporting Academic Success in Higher Education As part of the Digital Learning Research Network, we held our first conference at Stanford last year. The conference focused on making sense of higher education.

Gender Diversity, Empathy and Technology

Irving Wladawsky-Berger

According to E-S theory, a person, whether male or female, has a particular brain type. “A key feature of this theory is that your sex cannot tell you which type of brain you have. The central claim of this new theory is only that on average, more males than females have a brain of type S, and more females than males have a brain of type E…”. What’s the value of gender diversity in technology-based disciplines?

Open Learning, Open Networks - Online Learning in 2020

Stephen Downes: Half an Hour

So the covet response really is framed around the different types of educational technology that are available. As soon as it loads here again, it's a Google doc and so here are all of my notes the different types of data literacy, etc. So also on ethics analytics and duty of care.

The social enterprise?

George Siemens

We have, I think, hit a type of peak social where social connectedness is diminishing as a mechanism for managing complexity and uncertainty. We need better analytics that can reveal patterns and connections in information abundance that we may have missed. It’s in the human/computer sensemaking and analytics systems that allow people (and organizations) to orient themselves to complexity and gain coherence in fragmented information settings

Rejected: On being disappointed, sorta

George Siemens

I experimented with various blended and online courses (I remember, in early 2000, running a course in Groove – a P2P system since purchased by Microsoft – because I didn’t like the limited functionality of the web-based instructional systems we had access to at that time) and different types of media, video, and simulations. Which learning analytics and data mining models and algorithms assist learners in building self-awareness in ensuring learner success?

Researching open online courses

George Siemens

What types of skills do educators need to teach MOOCs? What types of technologies are needed to a) help learners make sense of complex topics, b) manage information overload, c) maintain instructor presence, d) encourage learner autonomy? Established researchers will likely already have some existing research techniques (such as social network analytics, discourse analytics, natural language processing, concept development, AI, and so on).

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What is a Learning Content Management System (LCMS)?

Xyleme

Good Learning Content Management Systems will also have analytics so you can see data on how learners are interacting with your content, and some offer a single-source input, which allows you to create the content once then select which format you’d like to publish it in (HTML, PowerPoint, PDF, etc.). While they share some functionalities, the two types of software are solutions to different problems. Whether you want to see analytics.

The domain of disorder (ii)

Dave Snowden

What about expert searchers who have spent years honing their ability to detect small abnormalities in specific types of image? My idea then, and it hasn’t changed since is to recognise that the power of Cynefin is to allow people to distinguish between different ontological states, or different types of system and change their decision behaviour accordingly. Experts tend to complain they need more time and resource to use their analytical skills.

25-10-3

Harold Jarche

“Scientists at Rensselaer Polytechnic Institute have found that when just 10 percent of the population holds an unshakable belief, their belief will always be adopted by the majority of the society … An important aspect of the finding is that the percent of committed opinion holders required to shift majority opinion does not change significantly regardless of the type of network in which the opinion holders are working. ” — Analytics in HR.

Bundling and Re-bundling

George Siemens

Knewton brings in a range of speakers and leaders in education, ranging from startups to big edtech companies and publishers to faculty and advocates for some type of change. data and analytics, 5. I’m at the Knewton Symposium – an event focusing on the future of digital learning. This is the second year that I’ve attended. It’s a small event (last year had ~20 attendees, this year it’s closer to 60+).

Decision Making in Our Increasingly Complex Organizations

Irving Wladawsky-Berger

It’s the best and worst of times for decision makers,” said McKinsey in a recent article, Untangling your Organization’s Decision Making. “Swelling stockpiles of data, advanced analytics, and intelligent algorithms are providing organizations with powerful new inputs and methods for making all manner of decisions.” Beyond these foundational practices, winning organizations also demonstrate best practices specific to each decision type: Bit-get decisions , - 2.3x

Blackboard’s identity crisis, Desire2Learn’s optimism, and Instructure’s coolness

George Siemens

And the LMS is not being commoditized – it’s being integrated with new value adds including curriculum, eportfolios, analytics, learner relationship management, advising, mobile, etc. Or the type of market in which it operates. Does Bb want to play a consultancy role of this type? If so, they need to really ramp up their capacity, especially since universities like to do knowledge-type things themselves.

Instructure: we know. we learn.

George Siemens

And even as I’m typing this looking for a link to a press release, their site is down. They were looking at rolling out a new analytics platform and wanted to chat about the kinds of analytics approaches that might be valuable. We had a good conversation about the potential of analytics and the directions in which the field (if we can call it that) is moving.

Do you really need all this personal information, @RollingStone?

Doc Searls

Among those are these: Information we collect automatically: Device information and identifiers such as IP address; browser type and language; operating system; platform type; device type; software and hardware attributes; and unique device, advertising, and app identifiers. Create profiles about you, including adding and combining information we obtain from third parties, which may be used for analytics, marketing, and advertising.

5 ways tech startups can disrupt education

George Siemens

Extensively use learning analytics, preferably blurring physical and virtual interactions. What type of tool, or functionality, do you think would disrupt education? What types of tools would teachers need to disrupt education As many theorists of innovation have noted, it’s difficult for mature established fields (and corporations, for that matter) to reinvent themselves. Change often comes from the outside.