2257
Has Uber Pushed Corporate Activism in the Digital Age Too Far
Matt Stampeck reviews how platform companies are mobilizing their users to pressure politicians when regulations unfavorable to the platforms are being thought about. E.g. Uber in New York. The whole thing is well worth reading
platformization  public_discourse  uber 
4 hours ago
Instaserfs: Precarious Employment in the New - and the Old - Economy - FOLD
Instaserfs is the tale of two well-educated white guys discovering what people with fewer advantages have knows for decades: the game is rigged. Fortunately, Andrew is not going to be a Wash.io delivery man for much longer - he's a talented video producer whose skills should lead him to a less precarious freelance existence. The question is whether listeners to this excellent series will see the connections between the new exploitation economy and the old exploitation economy, and work towards a future of work where fewer people can rent manservants at $125 an hour, and fewer people need new shoes to work those servant jobs.
sharing_economy  public_discourse  platformization 
4 hours ago
The Mystery of ISIS by Anonymous | The New York Review of Books
What explains the rise of ISIS? Is it the incompetence of other groups, ISIS's digital propapganda, its ability to provide governance, its support from various powers at various times? The authors argues that none of htis is sufficent - and indeed, ISIS has done things that are not entirely popular with its base. So what explains its success? We don't know, he says. A nice coplement to the Dar Spiegel article on ISIS
generalinterest  politics  isis  iraq 
12 hours ago
The Robots Are Winning! by Daniel Mendelsohn | The New York Review of Books
Even Daniel mendelsohn, so otherwise astute, can't coming up with more than this banal conclusion when he writes about Her and Ex Machina.

"Ex Machina, like Her and all their predecessors going back to 2001, is about machines that develop human qualities: emotions, sneakiness, a higher consciousness, the ability to love, and so forth. But by this point you have to wonder whether that’s a kind of narrative reaction formation—whether the real concern, one that’s been growing in the four decades since the advent of the personal computer, is that we are the ones who have undergone an evolutionary change, that in our lives and, more and more, in our art, we’re in danger of losing our humanity, of becoming indistinguishable from our gadgets."
artificial_intelligence  public_discourse 
13 hours ago
What the Sharing Economy Takes | The Nation
The sharing economy looks like a classically neoliberal response to neoliberalism: individualized and market-driven, it sees us all as micro-entrepreneurs fending for ourselves in a hostile world. Its publicists seek to transform the instability of the post–Great Recession economy into opportunity. Waiting for your script to sell? Drive an Uber on the weekend. Can’t afford a place to live while attending grad school? Take a two-bedroom apartment and rent one room out. You may lack health insurance, sick days and a pension plan, but you’re in control.
neoliberalism  sharing_economy  public_discourse  platformization 
14 hours ago
The automation myth: Robots aren't taking your jobs— and that's the problem - Vox
Yglesias says that the new digital tools aren't increasing productivity but they are definitely decreasing the amount of work. And public policy should instead orient toward making the decline of work official: better benefits, more holidays, reducing retirement age, etc. It's a good summary of the whole discussion.
artificial_intelligence  automation  platformization  public_discourse 
15 hours ago
Uber is the perfect poster child for the Republican economic agenda - Vox
There's something a little bit backward about this, as Uber is most popular in big cities with less than universal car ownership and lots of Democratic voters. But that's part of the reason talking about Uber is good politics for Republicans. It could help the party appeal to young, urban professionals who lean toward Democrats on cultural grounds but might find things to like in the GOP's economic message. It helps to drive a wedge between Uber-using urban professionals and more traditional — or more deeply ideological — liberals who see Uber's "gig economy" model as a threat to worker rights.

Of course, Uber itself cares less about presidential politics than about local regulation, where things tend to be less partisan in practice. Some Republican officeholders have been hostile to Uber, while many Democratic ones have been supportive. When the rubber meets the road, ordinary interest-group politics wind up mattering more than ideological considerations. But that doesn't stop Uber from being a potent tool in national politics, serving as a symbol for liberal fears and conservative hopes.
sharing_economy  public_discourse  uber  politics 
15 hours ago
Indiana University used this one weird trick to cut student debt
IU sent students a letter every year telling them how much they'd borrowed the previous year. And that reduced what students borrowed this year. But is this a good thing?
higher_ed  public_discourse 
15 hours ago
This academic debate about worms has an important lesson for the future of global poverty - Vox
Debate about the deworming controversy. It turns out that deworming while good doesn't magically improve educational outcomes. I wonder if something similar could be written about the psychological interventions that Stanford's social psycholoigsts want to do so much.
moocs  development  public_discourse  socialpsychology  technologyvspolitics 
16 hours ago
Trumpism would be the perfect ideology for a third party - Vox
Great post by Yglesias. Elites often call for third-parties when neither of the parties accepts the complete elite consensus (fiscal conservativism, social liberalism, in the US, for e.g.) and their worry is that their preferred party is in throes to a less exalted non-elite. But if a third-party materializes, it's more likely to be like Trump's which resembles right-wing European parties. I think this point is spot-on.
generalinterest  politics  america 
3 days ago
Contact form send email - Google Groups
Someone suggests a feature and David tells him what to do next. Lots of formalities.
edx  openedx  forums 
3 days ago
See Ya Later, Capitalism — the Collaborative Economy Is Taking Over — Backchannel — Medium
An interesting argument. robin chase says that the old ownership based economy of licenses and permissions and copyrights has locked up assets and created a surplus of them which are just wiating to get out and be shared in the sharing economy. And the idea is that this will promote innovation.

In the new collaborative economy, sharing and networking assets, like platforms, car seats and bedrooms, will always deliver more value faster. Think of the enormous loss of human potential bound up in patents, copyrights, trade secrets, certifications, and credentials. These hallmarks of the old capitalist economy harbor excess capacity just yearning to find the light of day. In the new collaborative economy, innovation is limitless. More minds working together will always be exponentially smarter, more experienced, and more well equipped than fewer ones who work inside a single company or government. In these big and well-organized networks, we can count on the right person (with the necessary skills, networks, insights, and location) to appear.
sharing_economy  public_discourse  platformization  innovation 
3 days ago
Is the media becoming a wire service?
Ezra Klein on the future of journalism. Says the key will be automated publishing to Twitter, Facebook and all the other "wire" services
journalism  platformization  public_discourse 
4 days ago
E-mail Lists | Open edX | Open Courseware Development Platform
Lists currently active emails lists for edx as well as instructions for what counts as good content
edx  openedx  forums 
6 days ago
Can an Algorithm Hire Better Than a Human? - NYTimes.com
A new wave of start-ups — including Gild, Entelo, Textio, Doxa and GapJumpers — is trying various ways to automate hiring. They say that software can do the job more effectively and efficiently than people can. Many people are beginning to buy into the idea. Established headhunting firms like Korn Ferry are incorporating algorithms into their work, too.
platformization  public_discourse  algorithms 
6 days ago
The Deep Mind of Demis Hassabis — Backchannel — Medium
How big of a boost is it to use Google’s infrastructure?

It’s huge. That’s another big reason we teamed up with Google. We had tons of venture money and amazing backers, but to build the computer infrastructure and engineering infrastructure that Google had would have taken a decade. Now we can do our research much quickly because we can run a million experiments in parallel.

The big leap you are making is not only to dig into things like structured databases but to analyze unstructured information — such as documents or images on the Internet — and be able to make use of them as well, right?

Exactly. That’s where the big gains are going to be in the next few years. I also think the only path to developing really powerful AI would be to use this unstructured information. It’s also called unsupervised learning— you just give it data and it learns by itself what to do with it, what the structure is, what the insights are. We are only interested in that kind of AI.

One of the people you work with at Google is Geoff Hinton, a pioneer of neural networks. Has his work been crucial to yours?

Sure. He had this big paper in 2006 that rejuvenated this whole area. And he introduced this idea of deep neural networks—Deep Learning. The other big thing that we have here is reinforcement learning, which we think is equally important. A lot of what Deep Mind has done so far is combining those two promising areas of research together in a really fundamental way. And that’s resulted in the Atari game player, which really is the first demonstration of an agent that goes from pixels to action, as we call it.
google  artificial_intelligence  public_discourse  platformization 
10 days ago
The Evolution of edX and an edX Colleague: A Discussion with Teppo Jouttenus | edX
How has edX grown over the past two years?

Teppo Jouttenus: There is the obvious growth in the number of courses. We have so many more courses across many different subjects and levels. We have many more partners and members, and of course, learners.

What has made that immense growth possible is that both the edX platform and the services that edX can provide have developed significantly. At the very beginning—when we just had 10 employees and no office space—everything was new. We created processes and features on the fly. It was an incredibly exciting time and a huge period of growth and learning. Now, we have a standardized set of tools and best practices that enable a broad range of courses to be created so much faster.

I remember in the early days coding HTML and XML to get a simple multiple-choice question up. Now, with edX Studio, you can do what would have taken 10 minutes in just 30 seconds. It’s incredible.

When I started at edX, I worked closely with Michael Cima and his team on the Introduction to Solid State Chemistry course. I helped moderate their course discussion forum, as well as 8.02x Electricity and Magnetism, and it’s tremendous to see how the discussion forum capabilities have evolved.
moocs  edx  public_discourse  softwarevscontent 
11 days ago
What A New Class Of Worker Could Mean For The Future Of Labor - BuzzFeed News
On the new class of worker inspired by the sharing economy and the Ubers. the article details moves...
uber  sharing_economy  platformization  labor  public_discourse  artificial_intelligence 
11 days ago
Riding Technology Wave, Stanford Rises to Top of Some Measures - The New York Times
An article that argues that Stanford has replaced Harvard as the "it" school. But has a number of interesting findings: e.g. argues that because of Stanford, Harvard has started to pay more attention to its science and engineering programs. (This also explains why Harvard joined MIT to start edX; because they were scared of joining a Stanford owned entity).
moocs  higher_ed  harvard  stanford 
11 days ago
Prezi/Excel alternatives - Google Groups
Daniel Mckelvey has a question about using prezi. Worth looking at to see the relations between consultant developers and edx personnel
edx  openedx  forums  debates 
12 days ago
Opaque Key Database Rearchitecture -- seeking feedback - Google Groups
A big angry discussion on Opaque keys - between edx and MITx and Ike chuang has interesting things to say. Read this carefully and use it to illustrate the tensions in the two sides.

Cale, Don, Ike, Ned, etc. all contribute here.
edx  openedx  debates 
13 days ago
Google Groups
Don Mitchel intervenes -- but hte question is interesting. What exactly does a course rerun mean in the internals of the edX LMS? Read tihs carefully
edx  openedx  forums  debates 
13 days ago
The future of edX's XML - Google Groups
Very interesting. Read carefully, esp. Piotr's history of how the edX platform was designed. This could be useful.
edx  openedx  forums  debates 
13 days ago
openedx instance has become very slow - Google Groups
Guy asks why his openedx instance is running slowly. A couple of answers from Sarina and Chris Dodge.
edx  openedx  forums 
13 days ago
Fwd: Backwards incompat migration - Google Groups
Interesting debate between Carson Gee and the edx.orgers about how to update code. It looks like conditions for the edx.orgers and Carson are very different. Interesting and worth looking at more.
edx  openedx  forums  debates 
13 days ago
A Vision For Teacher Training At MIT: West Point Meets Bell Labs : NPR Ed : NPR
MIT's new teacher training program sponsored by the Woodrow Wilson foundation
moocs  public_discourse  MIT 
15 days ago
The Writing Assignment That Changes Lives : NPR Ed : NPR
Social psychology research of the kind that Rene and others are doing at Stanford (asking students to write up their goals) gets an enthusiastic write-up at NPR
socialpsychology  moocs  learning_research  platformization 
15 days ago
Research.gov - Research Spending & Results - Grant Detail
Looks like Philip guo did get his IUSe grant

Summary of his project:
This project will develop innovative software to broaden access to free one-on-one tutoring, starting in the domain of computer programming, which is crucial for many kinds of 21st-century jobs. Learning is one of the most important and fundamental lifelong endeavors. A well-educated public is crucial for maintaining a healthy, prosperous, and innovative society. Regardless of subject, one-on-one tutoring is the most personal and effective way to learn. Although recent efforts such as MOOCs (Massive Open Online Courses) are scaling up access to lectures and other educational materials, it is hard to scale up one-on-one tutoring to online settings because there are far more learners in the world than qualified expert tutors. Access to free online tutors will especially benefit lower-income learners, who are more likely to be from rural areas or underrepresented minority groups.

The technical objective of this project is to investigate how to scale up peer tutoring of computer programming through user interfaces and algorithms for matching learners with tutors, hosting tutoring sessions within real-time code visualizations, and reviewing archived sessions. The central idea is to draw from the large pool of learners concurrently accessing online educational resources to serve as peer tutors for one another. Although peers lack the deep expertise of experts, many are effective tutors since they recently learned the material and can empathize better with learners. This project will build upon Online Python Tutor, a Web-based educational tool that the researcher created to visualize the execution of computer code, now one of the most popular websites for learning programming in the Python language. This project's specific aims are to build a peer tutoring system atop the Online Python Tutor website and to use it to study online peer tutoring interactions. The system has two main components: 1.) PythonLive is a real-time tutoring interface for computer programming that enables multiple users to concurrently write, execute, visualize, and chat about code, a single tutor to effectively handle multiple simultaneous tutees, and offline learning by reviewing archived tutoring sessions. 2.) TutorMatch is an interface that uses crowdsourcing and machine learning to connect learners with appropriately-skilled peer tutors in real-time. In sum, this research will contribute new software-based techniques to facilitate peer tutoring of computer programming, which draws upon and contributes to the fields of human-computer interaction, social computing, and computer-supported cooperative learning.
moocs  funding  learning_research 
16 days ago
Split Mongo Modulestore operational notes - Google Groups
Links on documentation to the splitmongo modulestore in edx
edx  openedx  forums 
17 days ago
Deploying Scalable edX - Google Groups
Starts off with a question from someone from Indonesia about the best kind of installation for him...
edx  openedx  forums 
17 days ago
What Good Is a Hackathon, Really? - The Atlantic
A nice ethnographic description of a hackathon. What's interesting is that the lead - that hackathons lead to nothing productive -- isn't really part of the actual body of the article, I don't think, which basically, almost lovingly, describes what happened in a hackathon. Still, interesting reading
platformization  hackathon  public_discourse 
17 days ago
When Algorithms Discriminate - The New York Times
There is a widespread belief that software and algorithms that rely on data are objective. But software is not free of human influence. Algorithms are written and maintained by people, and machine learning algorithms adjust what they do based on people’s behavior. As a result, say researchers in computer science, ethics and law, algorithms can reinforce human prejudices.

Google’s online advertising system, for instance, showed an ad for high-income jobs to men much more often than it showed the ad to women, a new study by Carnegie Mellon University researchers found.

Research from Harvard University found that ads for arrest records were significantly more likely to show up on searches for distinctively black names or a historically black fraternity. The Federal Trade Commission said advertisers are able to target people who live in low-income neighborhoods with high-interest loans.
machinelearning  public_discourse  algorithms  platformization 
17 days ago
With Subtle Signals, Supreme Court Justices Request the Cases They Want to Hear - The New York Times
These three marquee cases on the court’s docket next term — on public unions, voting and affirmative action — have a lot in common. They are creations of legal entrepreneurs. And they are reactions to signals from justices who have done more than wait for cases to arrive at their courthouse.
generalinterest  america  politics  supremecourt 
18 days ago
Ron Klain for Democracy Journal: Inequality and the Internet
The article gives 5 prescriptions for making the internet less unequal, or rather how the internet can help assuage the inequality problem in America. One of the prescriptions is about online learning and how it needs to be massified. Full extract below:

Online Learning and Training
Online learning has the potential to break the inherent limitations on access to the best teachers, curriculum, and institutions that the expense and physical constraints of in-person learning create. Why shouldn’t every student in America learn philosophy from a Harvard professor, math from an MIT scholar, music from a Juilliard instructor, and computer science from the best teachers at Stanford? And why shouldn’t they be able to do it for a fraction of the cost and difficulty of obtaining an on-campus degree?
But alas, the effort to promote online learning has become an ideological battleground in which progressives are prominent among the forces of resistance. In part, it is because online learning has become widely identified with private, for-profit colleges that charge vast sums and have produced dubious results for some students. In part, it is because online learning is associated with corporate donors and board members at institutions of higher education who have taken an adversarial (and often dismissive) approach to professional educators and their concerns. It is also because of close ties between progressives and members of the academy, who see online learning as threatening their livelihoods and job security.
It is time for a fresh start in this broken relationship. Of course, nothing replaces the incredible experience of face-to-face learning with an amazing teacher, and a key goal of education policy must be to enable as many people as possible—from all income groups—the maximum possible access to such experiences. But almost by definition, those experiences are a finite resource, and the need for more learning and training is nearly infinite.
Let’s begin here: With all the work that President Obama and other advocates have done to make community college affordable and accessible to all, it is the cost of textbooks—sky high, and in many cases greater than any remaining tuition charged to students after aid and initiatives—that is the most burdensome out-of-pocket cost of higher education for many students. Why shouldn’t every textbook be online, be available for download, or be available as an e-book at a fraction of the cost of traditional print editions? Harvard Law School’s H20 initiative, for example, creates online law course casebooks that are free for students (printed casebooks cost $150 to $200 each) and that have learning tools that far exceed those of printed editions.
More significantly, however, it is time to find a form of online education that progressives can embrace and promote to provide the millions who will never be able to access on-campus learning with the best possible opportunities to learn new things, develop new skills, and broaden their minds. Democratizing access to information, training, and learning has always been a core progressive objective, from the days of the first public schools in America to the land-grant colleges, to the GI Bill, to Pell Grants, to today’s battle over student-loan interest rates.
While we should not let up on efforts to increase access and affordability for in-person learning for all who want it, shouldn’t we also enable every person in the country, at little or no cost, to access the very best teachers, providing the very best lessons, on virtually every topic under the sun—at any time of the day or night (before or after work, on weekends, during work breaks)—from any location that is convenient for the young, the elderly, the disabled, working parents, and everyone else? The fact that highly touted, venture-capital-backed MOOCs (massive open online courses) have had some visible commercial failures should not be a cause for cheering from progressives. It should be a call to action to find ways to repurpose failed initiatives in this area into better models that will provide the most learning for the greatest number of people.
Finally, we must have much better programs and opportunities for in-career learning via online training. As noted above, the vast majority of efforts to move learning online have been in the high-cost, high-margin business of higher education. But at a time when the need for adults to learn throughout their lives has never been greater—and especially when that need is acute with relation to technology-sector jobs—better and more online training must be a priority. The same effort and priority being given to teaching children how to code should be made to teach coding to adults who want new careers—or who might be able to launch new businesses. And that’s just one example of training that must be expanded online.
Simply put, online learning offers the prospect of reducing virtually every barrier that stands in the way of people improving their economic prospects through acquiring new skills and information: It is accessible, affordable, and convenient. While many progressive policies are already focused on making such training more affordable, the cost barrier is only one of many—and in many cases, for working people with family obligations, child care obligations, limited transportation options, and other “real life” burdens, cost is not even the most serious impediment. Using online learning to overcome these other obstacles is a critical potential pathway.
moocs  platformization  public_discourse 
5 weeks ago
Adrianna McIntyre for Democracy Journal: Our Health Care Tug-of-War
REview of STeven Brill's book on the politics/mechanics of health care reform. Author suggests that politics is as important as policy prescriptions
generalinterest  politics 
5 weeks ago
This computer program can predict 7 out of 10 Supreme Court decisions - Vox
By now, political scientists have gotten pretty good at predicting the outcomes of national elections in the United States, especially presidential elections. The fact of the matter is that fundamentals-based modeling ahead of time and polls-based modeling as an election draws nearer result in very accurate predictions of how a given electoral season is going to shake out; Emory's Alan Abramowitz has a fundamentals based model that explains 94 percent of variation in presidential election results, for example. What's more, the fundamentals models tell us something important about what explains electoral outcomes: the fact that economic variables track results so closely is a strong indication that voter swings are caused in large part by economic fluctuations.

We haven't gotten nearly that far in predicting court cases. But three scholars — South Texas College of Law's Josh Blackman, Michigan State's Daniel Martin Katz, and Bommarito Consulting's Michael Bommarito —  have built a model that comes close. As Blackman noted in a blog post announcing the model, it "correctly identifies 69.7% of the Supreme Court’s overall affirm and reverse decisions and correctly forecasts 70.9% of the votes of individual justices across 7,700 cases and more than 68,000 justice votes."
platformization  law  artificial_intelligence  machinelearning 
6 weeks ago
Robots are better than humans at predicting Supreme Court decisions - Vox
In a 2004 Columbia Law Review article, researchers looked at how 86 former Supreme Court clerks, attorneys, and other legal experts' predictions for rulings in the 2002 term stacked up against the actual decisions. They also tested the experts against a statistical model that predicts the outcome using a few basic facts, like the subject matter of the case and which circuit court sent it up to the Supreme Court.

The statistical model got the outcome right in 75 percent of cases, and legal experts predicted the right answer in just 59 percent.

That means the experts are doing only slightly better than a coin toss in predicting how the Supreme Court will rule.

However, humans are better than robots at predicting how individual judges will rule

A separate study using the same statistical model went a bit more granular, looking at predictions of individual justices' votes. And it found, to the authors' surprise, that experts did better at predicting individual justices' votes — but the computer still beat them on predicting the actual decision.
machinelearning  artificial_intelligence  data_science  public_discourse  law 
6 weeks ago
The Soul of the Research University - The Chronicle Review - The Chronicle of Higher Education
I do believe that integrating the research life of universities more fully into the way society understands and experiences these wondrous institutions would be the best way of maximizing their benefit, and of securing their future.
higher_ed  moocs  public_discourse  college 
6 weeks ago
Rise of the Machines: The Future has Lots of Robots, Few Jobs for Humans | WIRED
see the advances happening in technology and it’s becoming evident that computers, machines, robots, and algorithms are going to be able to do most of the routine, repetitive types of jobs. That’s the essence of what machine learning is all about. What types of jobs are on some level fundamentally predictable? A lot of different skill levels fall into that category. It’s not just about lower-skilled jobs either. People with college degrees, even professional degrees, people like lawyers are doing things that ultimately are predictable. A lot of those jobs are going to be susceptible over time.
artificial_intelligence  public_discourse 
6 weeks ago
edX Operation Survey - Google Groups
Check for the results of this operations survey

All,

Would anyone who completed the edX Operations Survey and wants a t-shirt, please send me their contact details in a private message.

I'll be rolling up the results and publishing them soon.

Best,

Ed
(e0d on github)
edx  openedx  forums 
7 weeks ago
Dashboard - Google Groups
Filippo,  it's my understanding that while it is possible to install the dashboard without the other tools, the website it produces is pretty useless without the pipeline or API.  The dashboard pulls all of its data from the api which is populated by the pipeline.
edx  openedx  forums  design-decisions 
7 weeks ago
Pack Light: Why Every Professional Woman Should Take a Solo Vacation
Interesting snippet below: teh winning team struggled to install the platform. Also in-video quizzes were devevloped just now when Coursera had them for months.
---
From among 21 projects, thirteen working demos were presented to the hackathon’s 18 jury members.

The winning project embedded quizzes directly into course videos, a feature that has been long awaited by teachers and learners alike. The international team, called Gutenberg & Brussels, was composed of three developers from Gutenberg Technology in Paris, and one from the Université Libre de Bruxelles in Belgium.

The six other finalist teams were (see details: http://hack.ionisx.com/hackathons/openedxhack-may-2015.html):

外语2CommonLanguage: a forum post translation feature to facilitate international communication,
KNOTES: a video annotation feature to take notes on course videos,
Edverywhere: a content responsive mobile app that allows switching among video, audio, and text,
Open Domoscio: a notification system to remind students when to review materials for maximum retention,
Sylvaticus Bzh: an improved student dashboard clarifying prerequisites and progress toward them, and
Mooker: a mobile application with personalized recommendations.
These projects confirm current and emerging trends in education technology, especially toward interactivity (avoiding passive content), personalization (tailoring the learning experience to each individual) and accessibility (being able to browse a course from any device, not having to download large video files).

Hard work during the hackathon

An enjoyable event that shows promise for the future of Open edX

Beyond its improvements to the Open edX platform, the hackathon was a fun, energy-filled, and inspiring event, punctuated by lighthearted exchanges between participants and staff. To cite a few examples: a team of two non-developers managed to make their way to the final through perseverance; the winning team struggled to install an instance of Open edX for a whole day before scooping up the grand prize; an edX developer advocate showed hidden French roots by donning a beret for photos; cookie-muffin trades were made during lunch over python programming advice on Slack. More than 150 people used the chat program to communicate efficiently and have fun, and sent more than 6,500 messages in total. Meanwhile, the #openedxhack hashtag was tweeted more than 1,040 times in less than three days.
edx  openedx  design-decisions  public_discourse 
7 weeks ago
Error while running migration - Google Groups
This post discusses an inadvertent problem in migration that arises because of the badging system that was implemented.
edx  openedx  forums  design-decisions 
7 weeks ago
edX Courseware StudentModule Usage Survey - Google Groups
Wow, this looks like a big change to the platform. I should look into why this particular design decision was made in the first place.

--------
Valued edX Community,

The Open-Edx platform currently stores all of its student problem responses in a single relational database table. For most installations, this implementation works just fine. However, for larger-scale instances such as edx.org, the data size has become a performance bottleneck. Work has begun to support an alternate, highly-scalable backend in which to store the data - one that can handle a large volume of reads & writes in a short time interval.

Most backend options require knowledge of all queries up-front in order to efficiently design a schema that can support all needed uses of the data.

This is where we need YOU!

Please reply with all of your usages of data from the following tables:

courseware_studentmodule
courseware_studentmodulehistory

which correspond to the following Django models:

StudentModule
StudentModuleHistory

Does your branch/fork/instance of edx-platform:
    - use these tables' data for analytics/reporting in any way, including selects, counts, looking for particular student results, etc.?
    - access these tables during LMS/Studio operation in a way different than master?

If so, please specify details about your usage. We can't guarantee that we'll be able to support every usage of the tables' data. But if we don't know about your specific usage, then it's unlikely the platform will be able to support your usage after the upcoming work.

Also, we need your responses by Monday, June 22nd in order to be able to properly plan the upcoming work.

We look forward to hearing from you.

Thanks,
John Eskew
edX
edx  openedx  forums  platformization  design-decisions 
7 weeks ago
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