The State of AI Adoption - High Performers Show the Way

Irving Wladawsky-Berger

For the past few years, the McKinsey Global Institute has been conducting a yearly survey to assess the state of AI adoption. Its 2017 survey of over 3,000 AI-aware executive found that outside the technology sector, AI adoption was at an early, often experimental stage.

How to Support the Widespread Adoption of AI

Irving Wladawsky-Berger

Only 8% of firms are engaged in practices that support widespread adoption. To support the widespread adoption of AI, companies must make three fundamental shifts. Productivity studies at both the firm level and the establishment (or plant) level during the period 1995-2008 reveal that the firms that saw high returns on their technology investments were the same firms that adopted certain productivity-enhancing business practices.”.

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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.

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.

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. To become a nurse is, for example, to adopt as a personal code the ethical norms and values that define that particular profession. Which ethical issues from the literature of learning analytics issues do they address? ·

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.

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. The specific technologies highlighted in the reports are place along a continuum of near-term, mid-term, and far-term field adoption: One year or less to adoption: Cloud Computing (K-12), Mobile Learning (K-12), MOOC (Higher Ed), Tablet Computing (Higher Ed). The State of Learning Analytics in 2012: A Review and Future Challenges.

Social Media Measurement and Learning Analytics: How Do I Love Thee, Let Me Count the Ways

Beth Kanter

I tested out the five phases of falling in love with measurement. Given the topic was measurement, I couldn’t help but go a little meta and play with incorporating learning analytics into the instruction. This blog post shares some insights about those two somewhat disconnected ideas. Learning Analytics. I Love Social Media Measurement. View more presentations from Beth Kanter.

The Horizon Report 2011

Jane Hart

The areas of emerging technology cited for 2011 are: Time to adoption: One Year or Less. Time to adoption: Two to Three Years. Time to adoption: Four to Five Years. Learning Analytics.

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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. .

Game Learning Analytcs for Evidence=Based Serious Games

Stephen Downes: Half an Hour

Summary of a talk by Baltasar Fernandex Manjon at CELDA 2019 ie.ft.com/uber-game Serious games - Have been used successfully in many domains – medicine, military - But low adoption in mainstream education - So we say we’re working in ‘game-like simulation’ [link] - Fake news, trolls, e-influencers [link] [link] [link] - Has been formally evaluated Citizen science - Uses games for crowdsourcing Also: - Educational versions of commercial games Do serious games actually work?

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. .

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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Moving from openness advocacy to research

George Siemens

Openness in education – including content, teaching, pedagogy, analytics, or any other flavours – is a 15+ year trend that is starting to cross over into the main stream. OER align better with faculty’s top adoption priorities than traditional materials do, and the majority of current non-users will try OER between now and 2017. I’ve been thinking about this report and, if David is right about the scope of adoption, we have a serious issue.

The Future of Learning: Digital, Distributed, Data-Driven

George Siemens

Yesterday as I was traveling (with free wifi from the good folks at Norwegian Air, I might add), I caught this tweet from Jim Groom: @dkernohan @cogdog @mweller A worthwhile think piece for sure, almost up there with "China is My Analytics Co-Pilot" — Jim Groom (@jimgroom) May 11, 2016. The comment was in response to my previous post where I detailed my interest in understanding how learning analytics were progressing in Chinese education.

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

Irving Wladawsky-Berger

asks McKinsey in a recently published report - Artificial Intelligence: the Next Digital Frontier. “AI adoption outside of the tech sector is at an early, often experimental stage,” is the report’s succinct answer. “Few firms have deployed it at scale.”. Only 20 percent of respondents had adopted AI at scale in a core part of their business. 40 percent were partial adopters or experimenters, while another 40 percent were essentially contemplators.

Reconnecting Society and Reopening the Economy

Irving Wladawsky-Berger

Instead, many national and state governments adopted two distinct sets of actions, the hammer and the dance. Their recent paper and accompanying supplementary material explains their models and analytical methods in great detail.

Musings on Pelagianism, rules & agility

Dave Snowden

I remember designing this on one project where “ You are doing a Jason ” was a non-pejorative alternative to “ You are being an anally retentive over-analytical bastard ”. If I am honest about things I am probably guilty of Pelagianism in some form.

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

But, despite its market acceptance, a recent McKinsey report found that AI adoption is still at an early, experimental stage, especially outside the tech sector. Based on a survey of over 3,000 AI-aware C-level executives across 10 countries and 14 sectors, the report found that 20 percent of respondents had adopted AI at scale in a core part of their business, 40 percent were partial adopters or experimenters, while another 40 percent were still waiting to take their first steps.

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Content as a Service

Xyleme

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.). In conjunction with user tracking data and analytics, the delivery of the content can be personalized to the needs, habits, and preferences of the user.

25-10-3

Harold Jarche

But when the committed minority reached 25%, there was an abrupt change in the group dynamic, and very quickly the majority of the population adopted the new norm … “And if they’re just below a tipping point, their efforts will fail. “The three percent rule to influence key influencers is an outcome of years of delving data captured through organizational network analysis and people analytics. ” — Analytics in HR.

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

But, despite its market acceptance, a recent McKinsey report found that AI adoption is still at an early, experimental stage, especially outside the tech sector. Based on a survey of over 3,000 AI-aware C-level executives across 10 countries and 14 sectors, the report found that 20 percent of respondents had adopted AI at scale in a core part of their business, 40 percent were partial adopters or experimenters, while another 40 percent were still waiting to take their first steps.

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Innovation in open online courses

George Siemens

In a few weeks, our edX course Data, Analytics, and Learning (#DALMOOC https://www.edx.org/course/utarlingtonx/utarlingtonx-link5-10x-data-analytics-2186 ) will start. To address these challenges, we have adopted/developed the following approaches. As such, we will be adopting an aggregation approach similar to what Stephen Downes pioneered with early MOOCs: gRSShopper. Adapting a course on learning analytics is more challenging as the problems are much less well-formed.

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

Irving Wladawsky-Berger

But, “the adoption of digital technologies in business doesn’t come as naturally,” - especially if you’re working in a big, old company. “Inserting digital technologies to enhance operations and create new value propositions has proven extremely challenging.”. Previous research has uncovered this puzzling digital adoption discrepancy between individuals and organizations.

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.

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

Irving Wladawsky-Berger

But their benefits have not materialized in the short term due to several adoption barriers. Fewer workers is one of the key reasons for our stagnant economic growth.

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

Irving Wladawsky-Berger

asks McKinsey in a recently published report - Artificial Intelligence: the Next Digital Frontier. “AI adoption outside of the tech sector is at an early, often experimental stage,” is the report’s succinct answer. “Few firms have deployed it at scale.”. Only 20 percent of respondents had adopted AI at scale in a core part of their business. 40 percent were partial adopters or experimenters, while another 40 percent were essentially contemplators.

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.). Whether you want to see analytics. How NOT to Adopt an LCMS. There’s a lot of confusion surrounding Learning Content Management Systems.

Serious AI Challenges that Require Our Attention

Irving Wladawsky-Berger

Police agencies hope to do more with less by outsourcing their evaluations of crime data to analytics and technology companies that produce predictive policing systems. Despite wide adoption, predictive policing is still in its infancy, open to bias and hard to evaluate…”. Criminologists, crime analysts and police leaders are excited about the possibilities for experimentation using predictive analytics.

My 25 Years of Ed Tech

Stephen Downes: Half an Hour

Diversity University started out as an educational MUD; Walden University was also an early adopter, and a whole bunch more. There was a lot of debate about whether education should support federated repositories, like ADL's CORDRA, which would be closed, or would adopt more open repositories along the model of OAI. He finishes the section saying "personalized learning remains one of the dreams of ed tech, with learners enjoying a personalized curriculum, based on analytics."

The Internet, Blockchain, and the Evolution of Foundational Innovations

Irving Wladawsky-Berger

But the adoption process of foundational technologies like blockchain is gradual, incremental and steady, unlike the hockey stick adoption we typically associate with disruptive innovations. What’s the likely adoption process for foundational technologies like blockchain? The advent of the World Wide Web in the early- to mid-1990s brought the Internet to its third phase - its adoption by the much larger commercial world.

Digital Learning Research Network (dLRN)

George Siemens

Increase the speed of the research cycle and adoption of effective practices with a particular emphasis on under-represented students. Build on existing research in learning sciences, online, blended, and distance learning, as well as data mining and learning analytics. Higher education is digitizing. All aspects of it, including administration, teaching/learning, and research.

Adios Ed Tech. Hola something else.

George Siemens

And then to learning analytics. Two of our NSF grants are focused on language and discourse analysis and using big data to explore roles that learners adopt in variously configured knowledge spaces (Wikipedia, Stack Overflow, and MOOCs). I’ve been involved in educational technology since the late 1990′s when I was at Red River College and involved in deploying the first laptop program in Canada.

5 ways tech startups can disrupt education

George Siemens

Once an organization has settled into a revenue stream that provides some security, it’s almost impossible for that organization to adopt approaches that harm or cannibalize that revenue stream (Blockbuster and video rentals, Microsoft and Office). Extensively use learning analytics, preferably blurring physical and virtual interactions. Or, if learners prefer greater autonomy, more flexible paths can be adopted.

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

But, despite its market acceptance, a recent McKinsey report found that AI adoption is still at an early, experimental stage, especially outside the tech sector. Based on a survey of over 3,000 AI-aware C-level executives across 10 countries and 14 sectors, the report found that 20 percent of respondents had adopted AI at scale in a core part of their business, 40 percent were partial adopters or experimenters, while another 40 percent were still waiting to take their first steps.

Instructure: we know. we learn.

George Siemens

Young companies are often not that focused on listening because they have a vision that they feel others need to also adopt. 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.

LMS vs. LCMS

Xyleme

Analytics and xAPI. •. ?. How NOT to Adopt an LCMS. LMS vs. LCMS: What is the difference and why does it matter? LMS vs. LCMS? While sometimes thought to be interchangeable terms, LMS (Learning Management System) and LCMS (Learning Content Management System) platforms share a few functionalities, but couldn’t be more different. In this article, we deep-dive into the definitions of each, key differences in capability, and provide a platform comparison. What is an LMS?

The Jobs Outlook for 2022

Irving Wladawsky-Berger

The survey identified four specific technology advances that are set to dominate business growth over the next five years: ubiquitous, high speed mobile Internet; widespread adoption of big data analytics; artificial intelligence; and cloud computing.

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Two-Speed IT Architectures

Irving Wladawsky-Berger

These older companies have to both leverage the back-end systems, processes and overall capabilities that have served them well over the years, while adopting innovative consumer-facing technologies to enhance their customers’ experiences. We are seeing a seemingly perfect storm of technology and market innovations , - e.g., mobil, Internet of Things, social, cloud, big data and analytics, artificial intelligence. To do so, they should adopt a digital product management model.

Digital Twin: Bringing the Physical and Digital Worlds Closer Together

Irving Wladawsky-Berger

A vast array of industrial machines - jet engines, power generators, pipelines, locomotives increasingly are becoming connected through the Internet,” wrote Colin Parris , - GE’s VP of Software Research, - in a 2015 report. “With the amount of data generated by machine sensors rising exponentially, coupled with ever-more powerful Big Data analytics, the Industrial Internet has reached a critical tipping point.

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The Importance of Personalized Learning – Part 1 of 3 – K12

Xyleme

Most applicants are addressing the RTT personalization requirement with technology that uses data analytics to identify learning needs, and tools to manage a student’s personal learning plan. In K12, the business model of pursuing exclusive district adoptions meant that the content was designed broadly to serve the average learners. Over the next weeks, I will be writing about personalized learning and how that applies to different learning populations.

Nothing Has Changed. Everything Has Changed.

Charles Jennings

Sundials and Water Clocks As technologies such as sundials and water clocks evolved to allow us to measure time more accurately and efficiently we adopted them. Despite this early reluctance, railway time rapidly became adopted as the default time across the whole of Great Britain, although it took until 1880 for the government to legislate on the establishment of a single Standard Time and a single time zone for the country”. A Revolution or a Slow Demise?

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The Rise of the T-Shaped Organization

Irving Wladawsky-Berger

A growing number of articles have been extolling the value of T-shaped professionals , that is, individuals who combine deep cognitive, analytical, and/or technical skills in a specific discipline, with broad multidisciplinary, social skills. The disciplined, analytical approaches generally taught in engineering and business schools work well when dealing with well defined products to be developed or concrete problems to be solved.