Analytics and data - trying to understand the conversation
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Analytics and data  - trying to understand the conversation
Bits and pieces to  research this growing area in training and education . Your students and your staff .
Curated by Jess Chalmers
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Rescooped by Jess Chalmers from Educational Technology News
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Data Analytics: Ensuring eLearning Efficiency

Data Analytics: Ensuring eLearning Efficiency | Analytics and data  - trying to understand the conversation | Scoop.it
Want to know how Data Analytics can ensure learning efficiency and targeting? Check why using Data Analytics is essential for ensuring eLearning efficiency.

Via EDTECH@UTRGV
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Rescooped by Jess Chalmers from Educational Technology News
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8 Types Of eLearning Analytics To Obtain From Google And Your LMS

8 Types Of eLearning Analytics To Obtain From Google And Your LMS | Analytics and data  - trying to understand the conversation | Scoop.it
Wondering what types of eLearning Analytics to obtain? Check 8 types of eLearning Analytics you can obtain from Goggle and your LMS.

Via EDTECH@UTRGV
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Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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The Challenge of Understanding MOOC Data -- Campus Technology

The Challenge of Understanding MOOC Data -- Campus Technology | Analytics and data  - trying to understand the conversation | Scoop.it
Four years after the launch of edX, the data generated by massive open online courses still mystifies many institutions. Could inter-university collaboration unlock the secrets to better course delivery?

Via Peter Mellow
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Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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Big Data Analysis in Higher Education: Promises and Pitfalls

Big Data Analysis in Higher Education: Promises and Pitfalls | Analytics and data  - trying to understand the conversation | Scoop.it

In short, we want educational predictions to be wrong. If our predictive model can tell that a student is going to fail, we want that to be true only in the absence of intervention. If the student does in fact fail, that should be seen as a failure of the system. A predictive model should be part of a prediction-and-response system that (1) makes predictions that would be accurate in the absence of a response and (2) enables a response that renders the prediction incorrect (e.g., to accurately predict that, given a specific intervention, the student will succeed). In a good prediction-and-response system, all predictions would ultimately be negatively biased. The best way to empirically demonstrate this is to exploit random variation in the assignment of the system—for example, random assignment of the prediction-and-response system to some students but not all. This approach is rarely used in residential higher education but is newly enabled by digital data.The grand challenge in data-intensive research and analysis in higher education is to find the means to extract knowledge from the extremely rich data sets being generated today and to distill this into usable information for students, instructors, and the public.


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Rescooped by Jess Chalmers from Digital Delights
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Learning analytics: At the intersections between student support, privacy, agency and institutional survival

Presentation by Paul Prinsloo (Unisa) and Sharon Slade (OU) at ALT-C conference, University of Warwick, United Kingdom, 6-8 September 2016

Via Ana Cristina Pratas
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Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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Moving the Red Queen Forward: Maturing Analytics Capabilities in Higher Education

Moving the Red Queen Forward: Maturing Analytics Capabilities in Higher Education | Analytics and data  - trying to understand the conversation | Scoop.it
This article is drawn from the recent research by the EDUCAUSE Center for Analysis and Research (ECAR) and Gartner researchers on the state of analytics in higher education. This research explores the analytics trends as well as future predictions for the deployment of analytics technologies. Publications include The Analytics Landscape in Higher Education, 2015; Institutional Analytics in Higher Education; and Learning Analytics in Higher Education. More information about the analytics maturity index and deployment index can be found in the EDUCAUSE Core Data Service (participating) and the EDUCAUSE Benchmarking Service.

Via Kim Flintoff
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Rescooped by Jess Chalmers from Educational Technology News
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6 LMS Metrics eLearning Professionals Should Look For

6 LMS Metrics eLearning Professionals Should Look For | Analytics and data  - trying to understand the conversation | Scoop.it
Wondering what should your LMS Measure? Read this article to discover 6 LMS Metrics that you should look for in your LMS.

Via EDTECH@UTRGV
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Rescooped by Jess Chalmers from Educational Technology News
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Can Notifications Encourage Struggling College Students to Succeed?

Can Notifications Encourage Struggling College Students to Succeed? | Analytics and data  - trying to understand the conversation | Scoop.it
A Florida community college is trying to use data to keep students from dropping out and coming up with interventions to encourage students to succeed, like

Via EDTECH@UTRGV
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Rescooped by Jess Chalmers from iPads, MakerEd and More in Education
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An Excellent iPad Interactive Guide to Explore The World of Big Data ~ EdTech & MLearning

An Excellent iPad Interactive Guide to Explore The World of Big Data ~ EdTech & MLearning | Analytics and data  - trying to understand the conversation | Scoop.it
The Human Face of Big Data is a wonderful iPad eBook that provides some amazing interactive posters, infographics, essays and photographs that ‘explore the world of big data and captures how it is helping address the biggest challenges facing our species.’ This short eBook is free today and only for a limited period of time (its regular price is $2,99).

Via John Evans
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The Jigsaw Classroom#steps

The Jigsaw Classroom#steps | Analytics and data  - trying to understand the conversation | Scoop.it
The jigsaw technique is a cooperative learning approach that reduces racial conflict among school children, promotes better learning, improves student motivation, and increases enjoyment of the learning experience.
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Rescooped by Jess Chalmers from Business Tips
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10 Free Social Media Analytics Tools for Small Businesses

10 Free Social Media Analytics Tools for Small Businesses | Analytics and data  - trying to understand the conversation | Scoop.it
For small business looking to garner huge follower base on social media must do well to get acquainted with a few vital social media management tools.

Via TechinBiz
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Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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Big Data, Learning Analytics and Distance Education | Open Thoughts 2015

Big Data, Learning Analytics and Distance Education | Open Thoughts 2015 | Analytics and data  - trying to understand the conversation | Scoop.it

As an educational technologist, I seem always infatuated with the latest tools, even as I grow increasingly alert to what is lost as well as what is gained from their use.


Via Peter Mellow
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Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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Big data can transform learning – as long as lecturers take control

Big data can transform learning – as long as lecturers take control | Analytics and data  - trying to understand the conversation | Scoop.it
The collection of data on a large scale has already revolutionised our experience of online shopping. Imagine what it can do for online learning

Via Kim Flintoff
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Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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Moving the Red Queen Forward: Maturing Analytics Capabilities in Higher Education

Moving the Red Queen Forward: Maturing Analytics Capabilities in Higher Education | Analytics and data  - trying to understand the conversation | Scoop.it
Analytics progress in higher education is moving slowly, at best. How can colleges and universities mature their analytics capabilities without working twice as hard?

Via Peter Mellow
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Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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Video: Gartner's Glenda Morgan on Learning Analytics

Video: Gartner's Glenda Morgan on Learning Analytics | Analytics and data  - trying to understand the conversation | Scoop.it
Glenda Morgan talks about the current and future state of learning analytics.

Via Peter Mellow
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Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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Leading the Way in Learning Analytics by @jessiebrown224

Leading the Way in Learning Analytics by @jessiebrown224 | Analytics and data  - trying to understand the conversation | Scoop.it
Earlier this week my Ithaka S+R colleagues and I published “Student Data in the Digital Era: An Overview of Current Practices,” in which we review how institutions of higher education are currently using student data, and some of the practical and ethical challenges they face in doing so. As we conducted research for this report, part of our Responsible Use of Student Data in Higher Education project with Stanford University, we heard recurring concerns about the growing role of for-profit vendors in learning analytics. These third-party vendors, the argument goes, operate without the ethical obligations to students that institutions have, and design their products at a remove from the spaces where learning happens.

Via Peter Mellow
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Rescooped by Jess Chalmers from Connectivism
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Connectivism: A Learning Theory for Today’s Academic Advising

Connectivism: A Learning Theory for Today’s Academic Advising | Analytics and data  - trying to understand the conversation | Scoop.it
This article examines how connectivism is useful for academic advising as a theory that links previous information to current information

Via Dr. Susan Bainbridge
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Rescooped by Jess Chalmers from Educational Technology News
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Measuring Success of Online Education

Measuring Success of Online Education | Analytics and data  - trying to understand the conversation | Scoop.it
The educational system seems to play an important role in defining success for people, and online education has its fare share of this.

Via EDTECH@UTRGV
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Educity Pedagogy's curator insight, September 8, 2016 12:41 AM
multimedia content of bank PO learning at www.oureducity.com

Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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Predictive Analytics: Nudging, Shoving, and Smacking Behaviors in Higher Education

Predictive Analytics: Nudging, Shoving, and Smacking Behaviors in Higher Education | Analytics and data  - trying to understand the conversation | Scoop.it
Although nudging in small doses makes a difference, nudging is no panacea for all of the complex problems found in higher education. There are few studies that evaluate the overall effectiveness of nudging in changing behaviors and sustaining impact.6 Some studies even note the adverse effects of nudging.7 Like anything else in life, knowing when to use nudging — and when enough is enough — can be a challenge.

The answer is not simple. Perhaps the deepest concern lies in the definition of the problem and in who decides the direction of nudges. Nudging can easily become shoving or smacking. Obviously, the intentions behind most higher education practices are pure, but with new technologies, we need to know more about the intentions and remain vigilant so that the resulting practices don’t become abusive. The unintended consequences of automating, depersonalizing, and behavioral exploitation are real. We must think critically about what is most important: the means or the end.

With the transformative nature of new capabilities, we should explore both the opportunities and the threats associated with nudging in higher education. This is especially true at a time when academic credentials beyond the high school diploma are needed to acquire entry-level jobs, when colleges and universities are experiencing retention challenges, and when funding for higher education is decreasing. Nudging, used wisely, offers a promising opportunity to redirect students’ decisions and to contribute to the success of those students facing the steepest barriers.

Via Kim Flintoff
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Rescooped by Jess Chalmers from Voices in the Feminine - Digital Delights
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Looking Forward: Social data informs us about society, but also about the forces that will come to shape the future.

Looking Forward: Social data informs us about society, but also about the forces that will come to shape the future. | Analytics and data  - trying to understand the conversation | Scoop.it

Via Ana Cristina Pratas
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Rescooped by Jess Chalmers from NetworkedPractice
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You Are Not In Control

Slides for Digital Futures Colloquium presentation

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Rescooped by Jess Chalmers from Educational Technology News
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The biggest potential, and biggest challenge, to Big Data in higher ed

The biggest potential, and biggest challenge, to Big Data in higher ed | Analytics and data  - trying to understand the conversation | Scoop.it
Slimming down the big data discussion to what really matters.

Via EDTECH@UTRGV
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Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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Spotlight on Creating a Culture of Data - Education Week

Spotlight on Creating a Culture of Data - Education Week | Analytics and data  - trying to understand the conversation | Scoop.it

The Education Week Spotlight on Creating a Culture of Datais a collection of articles hand-picked by our editors for their insights on:

Promoting a culture of data accessibility in schoolsChallenges to the long-term usefulness of state longitudinal data systemsPolicy shifts in the use of students' educational recordsAddressing privacy challenges in a digital age

You get the seven articles below in a downloadable PDF.


Via Kim Flintoff
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Rescooped by Jess Chalmers from E-Learning-Inclusivo (Mashup)
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Why Learning Analytics should be your next bet in India

Why Learning Analytics should be your next bet in India | Analytics and data  - trying to understand the conversation | Scoop.it
Approximately 30 million students were enrolled in Higher or Technical Education in India in Year 2012-13. Taking an average $1 value delivered/revenue per student per month amounts to an industry size of $360 Mn. And this is just the beginning. As more and more students get on-boarded, the value delivered can be increased multi-fold by value added services.

But wait! Do we know how to measure success of all these companies? Do we have industry standard metrics to define their success criteria? How to drive adoption of new methods among traditional educators?

There comes Learning Analytics. I found a very interesting maturity model of Learning Analytics - The Kirkpatrick/Philips Model.

Via Edumorfosis, juandoming
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Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
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Metrics: how to handle them responsibly

Metrics: how to handle them responsibly | Analytics and data  - trying to understand the conversation | Scoop.it
Amid concerns about the growing use – and abuse – of quantitative measures in universities, a major new review examines the role of metrics in the assessment of research, from the REF to performance management

Via Peter Mellow
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