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Job hunting the big data way

Recruiting firms are looking beyond the CV to how their applicants write sentences. Through text analytics they are making a better fit between company cultures and applicant personalities. They can also predict how long an employee is likely to stay with a job before moving on!  / #HumanResources   #TextAnalytics   #DataMining  

Citation: Nearly half of new recruits turn out to be duds within 18 months, according to one study, while two-thirds of hiring managers admit they've often chosen the wrong people. / #TodaysChallenges  
. . . 
"[I]nnovative personality tests are supplements to, not replacements for, big data analytics, many recruiters believe. / #BigData  
. . . 
Analysis of historic data from tens of millions of job applicants, successful or otherwise, is helping employers predict which new candidates are likely to be the best based on a comparison with the career paths, personalities and qualifications of previously successful employees. / #Analysts  

"Now we're able to use our own data to track how long candidates stay in a role before seeking new opportunities," says Geoff Smith, managing director of recruitment consultancy Experis. / #PredictiveAnalytics  
. . . 
San Francisco-based company Evolv found that long-term unemployed people perform no worse than those who have had more regular work.

It also found that prior work experience and even education are not necessarily indicators of good performance in some roles. / #Education  
. . . 
Our blogs, websites, Twitter rants and LinkedIn profiles reveal as much - if not more - about us than a semi-fictionalised CV.

"The days of keeping your personal and professional profiles separate are over," warns Experis's Geoff Smith.

"Social media is a great platform for individuals to demonstrate their expertise, experience and enthusiasm for their field of specialism. However, candidates need to be conscious of the online reputation they are building and the data trail they are leaving behind." / #Social  

Posted by +Dan Durrant w/ +David Pidsley 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

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Student Health Indicators

USED FOR: Data analysis and decision-making
Linking health information about individual students—such as an asthma diagnosis or a high body mass index—to academic information through data systems gives states and districts the ability to trace the effects of student health in the classroom and to identify solutions, supporters say. 

EXAMPLES:
• Texas tracks student results on a comprehensive fitness test that measures factors like endurance, strength, and flexibility. This allows schools to see the effects of physical education programming, and it allows the state to track correlations between fitness and test scores.

• The Lincoln, Neb., school district collects student body-mass indexes, results on fitness tests, and academic information to identify which schools are best tackling student health issues and to target interventions to high-need areas.
. . . 
By tracking correlations between those factors and academic data, Lincoln has found that students' fitness levels have a greater effect on students' test scores than their weight, said Michelle Welch, the district's wellness facilitator.

Many thanks +Michael Josefowicz 

#DecisionMaking   #Education   #Healthcare   #USA  

#Lifelogging  -> http://blog.causeanalytics.com/2014/08/the-school-of-lifelogging.html

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

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Has partisanship skewed your thinking lately?

Tossing this one into the 'dark chamber of bias'...
https://plus.google.com/u/0/b/116876159727826092863/communities/108610078476587441572/s/bias

Citation: Yale law school professor Dan Kahan’s new research  paper is called “Motivated Numeracy and Enlightened Self-Government,” but for me a better title is the headline on science writer Chris Mooney’s  piece about it in Grist:  “Science Confirms: Politics Wrecks Your Ability to Do Math.” 

Kahan conducted some ingenious experiments about the impact of political passion on people’s ability to think clearly.  His conclusion, in Mooney’s words: partisanship “can even undermine our very basic reasoning skills…. [People] who are otherwise very good at math may totally flunk a problem that they would otherwise probably be able to solve, simply because giving the right answer goes against their political beliefs.” 

In other words, say goodnight to the dream that education, journalism, scientific evidence, media literacy or reason can provide the tools and information that people need in order to make good decisions.  It turns out that in the public realm, a lack of information isn’t the real problem.  The hurdle is how our minds work, no matter how smart we think we are.  We want to believe we’re rational, but reason turns out to be the ex post facto way we rationalize what our emotions already want to believe.   

#DecisionMaking   #Education   #CentralGovernment  

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New blog: Could lifelogging address the educational "achievement gap" while preparing children from all backgrounds to work with data? Securing personal data from unwelcome eyes will likely remain a challenge. Lifelogging is not just about quantitative analysis. Highly engaging, qualitative storytelling can also emerge from data gathered by learners. Stories of self-determination would involve the learner's own understanding of personal ambitions and dreams.

#Education #AchievementGap #DriveInnovation #Lifelogging  #Storytelling #QuantifiedSelf

By +Dan Durrant 

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In 2011 IBM's Watson technnology was predicted to revolutionize education industry 

Citation: [According to the] Tech Trends Report surveyed more than 4,000 Information Technology (IT) professionals from 93 countries and 25 industries who provided their views on future IT trends. The results also show a growing need for technical skills in the areas of social business, mobile computing, business analytics and cloud computing.
. . .
The IT professionals surveyed identified Watson’s analytics capabilities as key to adapting customized learning plans for students, equalizing resources for remote areas and changing the approach academics use to solve problems and enable creative thinking. Survey respondents also identified Watson's ability to quickly analyze large volumes of data, as having the biggest impact on the fields of data analytics and artificial intelligence.

http://www.cio.co.ke/news/top-stories/IBM's-Watson-technnology-predicted-to-revolutionize-education-industry

#InformationTechnology   #ArtificialIntelligence   #Education   #Analytics   #Cloud  

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

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Better Data Privacy, Security and Transparency in Edu

Citation:
Fact of the matter, third-party providers — websites, games, textbooks, assessment tools, learning management systems, magazines, email, search engines, student information systems, social networks — already have a lot of student data. And that student data isn’t simply name, grade level, date of birth, grades, and/or attendance dates that we've long construed as part of the FERPA-protected "education record." Student data now includes the “data exhaust” we increasingly leave behind when we use computer-based applications — our queries, our location (via GPS or RFID), our length of time on a task or on a site, our keystroke patterns, our networked relationships. 

Many companies hoard this data — particularly the incumbents in the industry, particularly those that are hoping that big data will be "the new oil." To unlock the full potential of learning analytics, we must unlock the data. 

inBloom says that it’s mission is to help schools and teachers tap into all of this data: “Better, more integrated technology and data analytics can help by painting a more complete picture of student learning and making it easier to find learning materials that match each student’s learning needs. Unfortunately, creating the technology infrastructure to do this is often too expensive for most states and school districts.”

While “personalized learning” may be the stated goal of inBloom, it’s easy to see that this sort of data infrastructure can (and will) also be used to enable surveillance — monitoring and assessing students and in turn teachers and in turn schools. (Once again: “Technology is neither good nor bad; nor is it neutral” — Kranzberg’s first law of technology)

But such are the trade-offs we are increasingly making when it comes to living (and learning) in a digital world: to fully participate in it, to reap the (purported) benefits, we find ourselves giving up our privacy — or at least we give up control of a lot of our data. It's a matter of both consent and coercion.

That is, we hand over our data with varying levels of informed consent — we do so begrudgingly and willingly and unconsciously. We do that, we adults. And as such we must ask how well we help children make choices about their own data — ownership and privacy. We must consider what decisions we make — as parents, teachers, schools, app-makers — on their behalf. We must weigh when and why control over data rests with the institution (with schools, with districts) and when it rests with the app-maker (the big companies and the little startups) and when it rests with the individual.

#Education   #Privacy   #Security   #Transparency   #BigData   #Analytics  

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

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Cool interactive infographic: tracking the UK’s international students

This interactive British Council tool shows the changes in student immigration and emigration over the past 18 years.

#DataVisualisation   #UK   #Education   #Demographics  

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

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Learning Analytics in Higher Education

Citation: The New Media Consortium (NMC) defines learning analytics as a “field associated with analysing patterns and trends from big data”. Its primary goal is to help educators develop educational programs to address a student’s needs. Tailor-fit lessons make it easier for teachers to teach effectively and students can now cope with their lessons.

The University of New England developed the Automated Wellness Engine or AWE. It was designed to identify students who were experiencing difficulty with their study programs. This enables the faculty to intervene and refer their students to the proper department.

Ms Rhonda Leece, the university’s Assistant Director for Student Services, said that “with AWE, we are fundamentally renewing our commitment to students”. It’s about creating personal connections with students to encourage them to learn.

#Education   #Analytics   #BigData  

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

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What Can Business Intelligence Do For Higher Education?

Citation: In higher education, business intelligence tools perhaps should be referred to instead as systemwide intelligence. BI can provide institutions with a very clear understanding of any number of points of reference — student progress, budget performance, alumni snapshots; the list of possibilities and insights truly is limitless.

In the era of Big Data, the role and importance of the BI toolset grows even more important, as institutions begin to leverage more meaningful insights from the wide swath of data available through myriad portals — the classroom, the research lab, the library, and the financial aid and provost’s offices.

#BusinessIntelligence   #BigData   #Education  

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

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The 4 Levels of Learning Analytics

Citation:
Using data to drive learning outcomes isn’t a new concept, really. For as long as teachers have been giving students assessments, the assessments and results have been used by both students and teachers (even if only loosely) to determine how to move forward. What needs to be reviewed more? What was covered/studied well? Learning analytics takes this concept and kicks it up a notch. Well, more like a thousand notches, especially if you’re considering things like adaptive computer based testing that changes as students use it.

#Education   #Analytics  ht +John Kellden 
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