emerging learning
481 views | +0 today
Your new post is loading...
Your new post is loading...
Rescooped by Ra from green streets

Imagining A Future City Filled With Driverless Cars And Without Any Parking Spaces

Imagining A Future City Filled With Driverless Cars And Without Any Parking Spaces | emerging learning | Scoop.it

As self-driving cars move from fantasy to reality, what kind of effect will they have on cities?

A research and urban prototyping project called Shuffle City investigates, and in the process, becomes a manifesto for a new kind of modern city--one that depends less on traditional public transportation like buses or light rail and more on creating a fleet of continuously moving automated vehicles to serve urban mobility needs.

Shuffle City looks at the new possibilities that could arise from cities transitioning to cars without drivers. If cars were put into some constant flow as a public good, and if people didn’t all have their own vehicles, there would be no need for the concrete wastelands and lifeless towers that serve as a parking infrastructure in the urban landscapes of car-centric cities like Phoenix and Los Angeles (Under the current ownership model, the average car spends 21 hours per day parked.)

The share of city space ruled by parking lots will shrink, making way for more green space, environmental buffers, workspace, housing, retail, and denser planning for more walkable cities...

Via Lauren Moss
Ra's insight:

Love the ideas this generates. Great for dicussion starters - what are the implications for us? Would this work in our local environment? What modifications to this system could be made to suit other environments?

José Antônio Carlos - O Professor Pepe's curator insight, August 7, 2013 8:41 AM

Um desenho da cidade de nossos sonhos. Carros sem motoristas, ruas sem espaço para estacionamento, e por aí vai.

Kim Spence-Jones's curator insight, August 8, 2013 2:53 AM

Interface between cars and homes is an interesting area of R&D. Everything from entertainment synchronising to battery management.

miguel sa's curator insight, September 4, 2013 4:17 PM

Jacque Fresco has been talking about this sort of thing for awhile now, looks like its coming closer to reality~ 

Rescooped by Ra from Eclectic Technology

Before Reading or Watching Videos, Students Should Experiment First

Before Reading or Watching Videos, Students Should Experiment First | emerging learning | Scoop.it
A new Stanford study shows that students learn better when first exploring an unfamiliar idea or concept on their own, rather than reading a text or watching a video first.

Via Beth Dichter
Ra's insight:

Implications for fabric tech in relation to systems. Trial and error as the lead in. Provide basic skill set and try to evolve the understanding of the systems and processes required to achieve identified outcomes. 

Beth Dichter's curator insight, July 18, 2013 9:33 PM

What is the best way to flip a classroom? Perhaps it is not showing videos first, but allowing the student to experiment first and then watch videos or read material. This study shows that students experimented first had substantial improvement in performance.

This study used a specific "new interactive tabletop learning environment, called BrainExplorer, which was developed by Stanford GSE researchers to enhance neuroscience instruction." Based on the use of this environment students did better exploring first. The experiment is described and data is shared in this article and it shows that the group who experimented first had a significant improvement in their final score.

There is an explanation as to why they chose the field of neuroscience as their goal (quoted from post below):

“Part of our goal,” the researchers write, “is to create low-cost, easy-to-scale educational platforms based on open source, free software and off-the-shelf building blocks such as web cameras and infrared pens so that our system can be easily and cheaply deployed in classrooms.”

The article also notes that this 'many educational researchers and cognitive scientists have been asserting for many years: the “exploration first” model is a better way to learn.'