Remove Analytics Remove Complexity Remove Design Remove Samples

Social Physics - Reinventing Analytics to Better Predict Human Behaviors

Irving Wladawsky-Berger

They’ve enabled the construction of AI algorithms that can be trained with lots and lots of sample inputs, which are subsequently applied to complex problems like language translation, natural language processing, and playing championship-level Go.

Design principles in DSS software

Dave Snowden

Thursday and Friday is a mixture of a foresight event and a complexity conference and I then return home on Saturday. the next generation of Risk Assessment and Horizon Scanning system for Singapore and as one of the main designers of 1.0

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?

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

In the 1960s and 1970s, IT brought automation to a number of discrete business processes, including transaction processing, financial planning, engineering design, inventory management, payroll and personnel records.

Data 207

Big Data Takes Center Stage

Irving Wladawsky-Berger

The first is what they call n=all, that is, collect and use lots of data rather than settling for small samples, as statisticians have done until now. “The The way people handled the problem of capturing information in the past was through sampling.

Data 245

A Framework for Building AI Capabilities

Irving Wladawsky-Berger

In the 1960s and 1970s, IT brought automation to a number of discrete business processes, including transaction processing, financial planning, engineering design, inventory management, payroll and personnel records.

Data 165

AI - the Creation of a Human-Centric Engineering Discipline

Irving Wladawsky-Berger

It’s enabled the construction of AI algorithms that can be trained with lots and lots of sample inputs, which are subsequently applied to difficult AI problems like language translation, natural language processing, and playing championship-level Go.

Data 140

195 posts about MOOCs

Jay Cross

Designing and running a MOOC (in 9 easy steps) GEORGE SIEMENS | TUESDAY, SEPTEMBER 4, 2012. X-based learning: sorting out pedagogies and design CLARK QUINN | THURSDAY, APRIL 12, 2012. MOOC on complexity JAY CROSS | WEDNESDAY, FEBRUARY 13, 2013. MOOC on complexity.

eLgg 238

Nothing Has Changed. Everything Has Changed.

Charles Jennings

This study sampled 35,000 managers and employees across the globe. Winchester is one degree 19 minutes west of Greenwich, the point designated as ‘absolute zero’ in terms of longitude. A Revolution or a Slow Demise?

Change 238

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Precision Farming Increases Crop Yields - “Combining sensors and imaging of every plant with real-time data analytics improves farm outputs and reduces waste”.

Reflections on Smarter Healthcare Systems: Practical, Concrete, Expert Advice

Irving Wladawsky-Berger

In anything as complex as healthcare, you need to design and architect a system that is implementable, flexible and adaptable to the myriads of requirements you will have to support now and in the future. The central health plan and the primary care workers in the practice work closely as a team, using predictive analytics and other advanced technologies to anticipate and try to prevent problems.

System 116

The future of higher education and other imponderables

George Siemens

pdf) state that “Change is as inevitable as the passage of time, but line of movement in the modern world seems to be accelerating and presenting higher education more complex challenges with each passing decade.”

The Top Ten Emerging Technologies of 2017

Irving Wladawsky-Berger

Precision Farming Increases Crop Yields - “Combining sensors and imaging of every plant with real-time data analytics improves farm outputs and reduces waste”. Sustainable Design of Communities Dramatically Reduces Waste - “Moving beyond the green-home level, ambitious projects are attempting to join blocks of buildings into a single sustainable unit”.

The 2010 IBM Global CEO Study

Irving Wladawsky-Berger

This time around, the primary challenge emerging out of the CEO conversations was pretty clear: complexity. CEOs told us they operate in a world that is substantially more volatile, uncertain and complex. Nearly 80% of CEOs expect the business environment to grow significantly more complex over time, but less than half believe that their organizations are equipped to deal with it successfully. Globalization is one of the major causes of this complexity gap.

Study 166

Critical Thinking for Educators

Stephen Downes: Half an Hour

Over time we would develop and grow our toolbox of analytical methods, evaluative devices, and argumentation strategies. In particular, I haven't talked at all about complex arguments, explanations, definitions, names and descriptions.

Seminar on MOOCs, Lyon, France, Day 2

Stephen Downes: Half an Hour

model - design run the MOOC, evaluate for knwoledge - eg. analytics - richness of social networks but: processing is more marketing than cognitive so far (A/B testing) - and the tension between the individual and the collective plus: the ideology of reducing everything to numbers - education as technology - does big data explain or does it merely predict? - articulation) 5 Design principles - collective design and distributed delivery (eg.,

Connective Knowledge and Open Resources

Stephen Downes: Half an Hour

The difference is that a cMOOC is designed as a network, as I described above, while an xMOOC is based on a central course site and content that will be followed by all students. The xMOOC has a core content that everyone follows, while the cMOOC has a wide ranging network of content which people browse through and sample according to their own interests. Whether the learning analytics(LA) can be think as problem-solving techniques?

Beyond Institutions Personal Learning in a Networked World

Stephen Downes: Half an Hour

Thinking in Models: for Design, for Learning… A large part of this talk is about that change. We''re told there will be analytics and data-driven management. Models of how to do learning, learning design patterns: Grainne Conole has done a lot on this.

Education Technology Strategies - Day One

Stephen Downes: Half an Hour

really sensitive ultra-microscope - you can''t be in the same room as it) - lets them engage in authentic instrumental experimentation - allows students to collaborate with classmates (even around the world) - prepares students for the future of science - But: does not prepare them for *all* learning objectives in a lab, eg, the actual working with samples, equipment - How do remote systems work?

Education as Platform: The MOOC Experience and what we can do to make it better

Stephen Downes: Half an Hour

What this talk is about - it's called "Education as Platform" - is the idea of exploring some of the experiences we've had with massive open online learning, and exploring some of the criticisms that we've experienced, some of the criticisms that we've seen, and trying to understand what elements of the design are working and what elements of the design are not working, and to use this understanding to try to advance our perspective on the way online learning is proceeding and should proceed.

Sustainability and MOOCs in Historical Perspective

Stephen Downes: Half an Hour

Learning design was an attempt to emulate what was called programmed learning in the course packages, a way of leading the student through the materials one step at a time. The interaction part of MuniMall worked really well and, in fact, the community lasted for 10 years from the original design. It's knowledge so large, so complex, no individual person can have it. There's a whole complex series of connection through inferences that we make. How did we design this?

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. We’ll be doing two work samples as well as an interview and the work samples will have equal weight.

Skills 102

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. We’ll be doing two work samples as well as an interview and the work samples will have equal weight.

Skills 102

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. We’ll be doing two work samples as well as an interview and the work samples will have equal weight.

Skills 102

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. We’ll be doing two work samples as well as an interview and the work samples will have equal weight.

Skills 102

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. We’ll be doing two work samples as well as an interview and the work samples will have equal weight.

Full Circle Associates " Musings on "community management" Part 1

Nancy White

Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. We’ll be doing two work samples as well as an interview and the work samples will have equal weight.

Skills 100

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. We’ll be doing two work samples as well as an interview and the work samples will have equal weight.

Skills 100

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. We’ll be doing two work samples as well as an interview and the work samples will have equal weight.

Skills 100

Musings on “community management” Part 1 | Full Circle Associates

Nancy White

Community requires the emotional intelligence from the heart side and the analytical/strategic and content skills from the head side. We’ll be doing two work samples as well as an interview and the work samples will have equal weight.

Skills 100