Educational Research in Learning Technology

Stephen Downes: Half an Hour

Kerr in this recent post , about how research in educational technology could be improved, but I have disagreements around the edges, enough that I think more discussion is warranted. References to learning styles are still fairly common. Look what came out of both these technologies!

Can AI Help Translate Technological Advances into Strategic Advantage?

Irving Wladawsky-Berger

Any sufficiently advanced technology is indistinguishable from magic,” is one of the most memorable quotes of science fiction writer Arthur C. But, as we better understand its promise and limitations, technology becomes just another tool we rely on in our work and daily life.

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Ethical Codes and Learning Analytics

Stephen Downes: Half an Hour

PDF versions of the Full Paper and References. Abstract The growth and development of learning analytics has placed a range of new capacities into the hands of educational institutions. Which ethical issues from the literature of learning analytics issues do they address? ·

Is Your Future Boss Horrible? A 10 Point Reference Check - Bob.

Bob Sutton

Stanford Technology Ventures Program (STVP). Center for Work, Technology and Organization. Davenport: Competing on Analytics: The New Science of Winning. Dorf & Byers: Technology Ventures. A 10 Point Reference Check. Listed below are links to weblogs that reference Is Your Future Boss Horrible? A 10 Point Reference Check : Comments. Bringing Creativity to Organizations| Bob Sutton|Stanford Technology Ventures. Bob Sutton.

Education Technology Strategies - Day One

Stephen Downes: Half an Hour

lessons scripted around 1:1 laptop); IT issues - we were a Windows network, with everything on our own domain - we needed to open eg printing etc O - consumer technology far more accessible in 2012 esp. dates to classical Greece How does technology change this? - Most classrooms still dominated by teachers teaching answers and students remembering them We can change the technology but if we haven''t changed the goal we really haven''t accomplished anything.

A Useful Framework for Analyzing the Impact of Technology on Jobs

Irving Wladawsky-Berger

Last week I discussed a recent Pew Research report on the impact of AI, robotics and other advanced technologies on the future of jobs. We can know more than we can tell,” noted Polanyi in what Autor refers to as Polanyi’s paradox.

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.

Four Ways User-Generated Content (UGC) Can Make its Way into.

Xyleme

Home > Learning Content Management , Social Learning > Four Ways User-Generated Content (UGC) Can Make its Way into Formal Learning Four Ways User-Generated Content (UGC) Can Make its Way into Formal Learning January 20th, 2010 Goto comments Leave a comment This past week, I’ve been reading and referring to Jane Hart’s article The State of Social Learning Today and some Thoughts for the Future of L&D in 2010 quite a bit. Home About Podcasts Videos Xyleme Inc.

Can Democracy and Free Markets Survive in the Coming Age of AI?

Irving Wladawsky-Berger

Can technology plan economies and destroy democracy? And if technology can outperform the invisible hand in the economy, might it be able to do the same at the ballot box when it comes to politics?” .

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

Doc Searls

See “ Cookies and Other Tracking Technologies ” below for more information about how we collect and use this information. Create profiles about you, including adding and combining information we obtain from third parties, which may be used for analytics, marketing, and advertising.

Deep Learning: Is it Approaching a Wall?

Irving Wladawsky-Berger

As with all major technologies in their early phases, deep learning must overcome a number of serious challenges. The data requirements for deep learning are substantially different from those of other analytic methods in a number of dimensions.

The Business Value of Resilience

Irving Wladawsky-Berger

The Industrial Revolution was “as much about process innovations that reduced waste and increased productivity as it was about the application of new technologies,” wrote Roger Martin in a recent Harvard Business Review (HBR) article, - The High Price of Efficiency.

Price 192

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

The Challenges of Executing a Transformational Strategy

Irving Wladawsky-Berger

Why do so many organizations struggle to implement their well formulated strategies, especially transformational strategies like the transition to digital, that encompass new technologies, business models and management practices? The 2018 MIT CIO Symposium will take place on May 23.

Anticipating the Future of the IT Industry

Irving Wladawsky-Berger

Which hot technology innovations, - e.g., artificial intelligence, the blockchain, cloud computing, - will end up having a big impact and which are destined to fizzle? These early analytics applications dealt mostly with structured information.

Embracing Disruptive Change - Why Is it So Difficult?

Irving Wladawsky-Berger

One of the topics discussed was how companies generally deal with major technology and market changes, - like those that have been taking place all around us for the past few decades. Why are so many successful, well managed companies done in by disruptive technology and market changes?

Change 269

The Evolution Toward Digital Supply Chains

Irving Wladawsky-Berger

It doesn’t matter whether the goods or services are digital or physical. “ It refers to the way that the supply chain process is managed…”. The evolution from traditional to digital supply chains is driven by five key game changers: Real Time Big Data and Analytics.

The Emerging Data Economy

Irving Wladawsky-Berger

The Economist’ s May 6 issue referred to data in its cover as the world’s most valuable resource. Data has been closely intertwined with our digital technology revolution since the early days of the IT industry.

Data 206

AI - the Creation of a Human-Centric Engineering Discipline

Irving Wladawsky-Berger

AI is rapidly becoming one of the most important technologies of our era. Machine and deep learning are the latest examples of tools like the World Wide Web, search and analytics that are helping us cope with and take advantage of the huge amounts of information all around us.

Data 137

Jobs, Skills and Education

Irving Wladawsky-Berger

And 55% of Americans with college or more felt that technology will improve overall employment compared to 45% of those with high school or less. Economic Issues Education and Talent Management and Leadership Political Issues Society and Culture Technology and Strategy

Skills 148

Site Learnings

Clark Quinn

Now, I’d try to do this once I’d gotten all my sites tied into Google Analytics, including searching the WP file folders, and browsing a number, to no avail. Specifically, even though my site was registering in Google Analytics, it wasn’t validated with the Search Console. I’m now registered with the Search Console, with current Analytics code. This may well be a problem in my own referring sites (e.g. meta-learning technology

Reflections on the Education of Applied Data Scientists

Irving Wladawsky-Berger

For over ten years , we’ve been using the term big data to refer to the fast growing volumes and varieties of digital data being collected, much of it in real-time. This is an emphatically pro-science and pro-technology book, and I think of it as a very optimistic one.

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Learning in 2024 #LRN2024

Clark Quinn

The twitter chat had a series of questions, so I’ll address them here (with a caveat that our learning really hasn’t changed, our wetware hasn’t evolved in the past decade and won’t again in the next; our support of learning is what I’m referring to here): 1. And I reckon most learners have begun to use technology in their own ways to get answers, whether via the Google, or social networks like FaceBook and LinkedIn.

The Challenges of Executing a Transformational Strategy

Irving Wladawsky-Berger

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. Complex Systems Economic Issues Innovation Management and Leadership Technology and StrategyThe 2018 MIT CIO Symposium will take place on May 23.

Jobs, Skills and Education

Irving Wladawsky-Berger

And 55% of Americans with college or more felt that technology will improve overall employment compared to 45% of those with high school or less. It found that employment growth was highest in occupations requiring higher social or analytical skills, - those skills we most associate with a college education. Economic Issues Education and Talent Future of Work Management and Leadership Political Issues Society and Culture Technology and Strategy

Skills 100

The Evolution Toward Digital Supply Chains

Irving Wladawsky-Berger

It doesn’t matter whether the goods or services are digital or physical. “ It refers to the way that the supply chain process is managed…”. Successful companies will need to take advantage of new management practices, a continuously expanding data reservoir, and new technologies relevant to Digital Supply Chains, if they are to achieve future competitive advantage and delight their customers. Managing Technology - Enterprise/Platform Agility and Customer Visibility.

Big Data, Complex Systems and Quantum Mechanics

Irving Wladawsky-Berger

Big data is a foundational element in IT’s quartet of Next Big Things : Social, Mobile, Analytics and Cloud. But things started to change in the 1990s when AI switched paradigms and embraced data mining and information analytics , the precursors of today’s big data. Complex Systems Economic Issues Education and Talent Innovation Management and Leadership Society and Culture Technology and StrategyBig Data is one of the hottest topics out there.

My 25 Years of Ed Tech

Stephen Downes: Half an Hour

My point with this article is that, in writing about the last 25 years of technology, Weller is writing about my history. called something like 'Welcome to the Internet' (I don't have the reference, but it's somewhere in my online corpus ).

Social Business: e-business 2.0. and Beyond

Irving Wladawsky-Berger

technologies and Social Media applications emerged several years later, it is natural that e-business would have now evolved into something like e-business 2.0 , continuing to leverage (the more recent advances of) the Internet for business value. While this book focuses on the value of becoming a Social Business, I don’t want to downplay the importance that social technology has played in my personal life. The answer, in a nutshell, is technology.

Something weird is happening at Coursera

George Siemens

He was referring to the Massive Teaching course on Coursera that he was to run in June. Students, please reflect on the fact that a technology company has now effectively replaced your teacher. Given heightened concerns about ethics in social media and experimentation on users, MOOC providers and faculty need to be clear on any research and analytics being conducted. Something weird is happening at Coursera.

Institutional Innovation - I Have a Dream

John Hagel

As I explore this dream, I’m going to refer to a lot of the work we’ve been doing at the Center for the Edge since I’ve been pursuing this dream for a quite a while. When you look more closely at these initiatives, they tend to be applying digital technology in ways that can help the company do what it’s always done, just faster and cheaper. Technology: Shift from tasks to learning.

Shaping (As Opposed to Stumbling Into It!) – The Future of Online Learning and Training

Stephen Downes: Half an Hour

So I have a lens that says ‘Be careful what you wish for’.” - References AU MBA – “fellow deans of business thought I was completely bonkers” – took over 50% of exec MBA market in the country Things that will force us to change - - Globa spend on education: $6.5

The 2010 IBM Global CEO Study

Irving Wladawsky-Berger

Given the realities of globalization, disruptive innovation, and profound changes across technology, markets and society, it should not be surprising that CEOs and their companies must now navigate a highly volatile and unpredictable business environment. This gives rise to what the report refers to as a Complexity Gap , that is, the difference between the expected complexity and the extent to which CEOs feel well prepared to manage it.

Study 163

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. A Revolution or a Slow Demise? I’ve recently read Clark Quinn’s excellent new ‘Revolutionize Learning & Development’ book.

Change 238

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

Xyleme

Personalization, and the technologies that support it, are innovations that threaten to upend the entrenched interests in learning content and technology. Traditional Publishers, eLearning Companies and LMS Systems are Locked into Antiquated Approaches and Technologies .

The Science of Complex Systems

Irving Wladawsky-Berger

Then, around ten years ago, I became very interested in the applications of technology to market-facing, people oriented complex systems , especially systems involving services. Dr. West was referring to Kleiber’s Law , named after biologist Max Kleiber who in the 1930s observed that for the vast majority of animals, their metabolic rate , that is, the amount of energy expended by the animal is proportional to its mass M raised to the ¾ power, that is M ¾.

System 153

Challenge the Status Quo

Xyleme

Analytics become meaningful and actionable once you unlock learning content from the confines of the Sharable Content Object Reference Model (SCORM) course. How does your company plan learning and development initiatives?

Machine and Human Intelligence

Irving Wladawsky-Berger

We are increasingly using terms like smart and intelligent when referring to highly complex, IT-based engineering systems that make extensive use of information analysis as well as sophisticated modeling and optimization. But such analytical methods do not work so well in the world of highly complex systems , especially those systems whose components and interrelationships are themselves quite complex.

Irving Wladawsky-Berger: Reflections on Leadership and Innovation

Irving Wladawsky-Berger

Irving Wladawsky-Berger A collection of observations, news and resources on the changing nature of innovation, technology, leadership, and other subjects. Second, I’ll focus on my personal experiences leading technology-based businesses, in particular IBMs Internet Division.

In honor of Ada, I honor Hildegard

Adaptive Path

Today is Ada Lovelace day…a day to celebrate women in technology. Earlier this year, I joined 1000+ people in a pledge sponsored by Suw Charman-Anderson: “ I will publish a blog post on Tuesday 24th March about a woman in technology whom I admire but only if 1,000 other people will do the same. &#. I’m talking about a time when technology was truly about the roots of creativity: the Greek tékne meaning “art, skill, craft or method.&#.

Non-Research Citations in the Siemens Research Study

Stephen Downes: Half an Hour

Here they are, collected from the references at the end of the various articles: Allen, C. Enhancing Teaching and Learning Through Educational Data Mining and Learning Analytics: An Issue Brief (No. US Department of Education, Office of Educational Technology. A meta-analytic review of factors that influence the effectiveness of Web-based training within the context of distance learning.

The future of higher education and other imponderables

George Siemens

Since my experience at Red River College, I’ve spent quite a bit of time traveling and speaking about changes in knowledge, learning, teaching, technology, and by extension, the system of education. ” Technology, as stated earlier, is a significant driver of change in education.

The role of informal social networks in building organizational creativity and innovation

Ross Dawson

For the last decade I have examined and applied social network analysis in and across organizations, for example in large professional firms , technology purchase decision-making , high-performance personal networks , and other applications.