Analytics and data - trying to understand the conversation
393 views | +0 today
 
Rescooped by Jess Chalmers from Digital Delights
onto Analytics and data - trying to understand the conversation
Scoop.it!

The Value of Big Data Isn't the Data

The Value of Big Data Isn't the Data | Analytics and data  - trying to understand the conversation | Scoop.it
To make the data useful, you need to turn it into a narrative. To do that at scale, you need machines.

Via Ana Cristina Pratas
more...
No comment yet.
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
Your new post is loading...
Your new post is loading...
Rescooped by Jess Chalmers from Learning - Social Media - Innovation
Scoop.it!

Social Media Analytics At Coca-Cola: Learning From The Best | Articles | Chief Data Officer

Social Media Analytics At Coca-Cola: Learning From The Best | Articles | Chief Data Officer | Analytics and data  - trying to understand the conversation | Scoop.it
What approaches does Coca-Cola use for their social media analytics? Wes Finley, former Global Digital Marketing Lead at Coca-Cola shares some methods

Via Marc Wachtfogel, Ph.D.
more...
No comment yet.
Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
Scoop.it!

Asking the right questions of big data in education

Asking the right questions of big data in education | Analytics and data  - trying to understand the conversation | Scoop.it
Universities have seized on big data to count every click their students make in learning management systems, but the focus needs to be on improving learning.

Via Peter Mellow
more...
klickitatrelay's comment, February 28, 1:07 AM
Nice I like it
Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
Scoop.it!

Research Evidence on the Use of Learning Analytics

Research Evidence on the Use of Learning Analytics | Analytics and data  - trying to understand the conversation | Scoop.it
This report aims to understand the state of the art in the implementation of learning analytics for education and trainingin both formal and informal settings. It also aims to understand the potential for European policy to be used to guide and support the take-up and adaptation of learning analytics to enhance education in Europe. This study, called the Implications and Opportunities of Learning Analytics for European Educational Policy (henceforwardthe Study), therefore has an international scope, although the policy perspectives are discussed from the point of view of the EU. The research was conducted between September 2015 and June 2016.The key findings seek to inform, guide and inspire practitioners, researchers and policy makers at all levels (institutional, local, regional, national, international) inimplementing learning analytics in European education and training.

Via Kim Flintoff
more...
No comment yet.
Rescooped by Jess Chalmers from The 21st Century
Scoop.it!

Social Media and Big Data, Part 1: What is it?

Social Media and Big Data, Part 1: What is it? | Analytics and data  - trying to understand the conversation | Scoop.it

Via Dr. Susan Bainbridge
more...
EL OBSERVATORIO DIGITAL's curator insight, November 20, 2016 4:34 PM
Social media y Big data, ¿Qué son?
Rescooped by Jess Chalmers from Educational Technology News
Scoop.it!

The Data Workout: How It's Impacting Teaching and Learning

The Data Workout: How It's Impacting Teaching and Learning | Analytics and data  - trying to understand the conversation | Scoop.it

"If you think data—in education, or any field—is cut and dry, think again. Working with data in the classroom, especially, can be either exhausting or exhilarating—depending on your fitness level. Data can be big, but also quite small. It’s often quantitative, but is increasingly qualitative."


Via EDTECH@UTRGV
more...
No comment yet.
Rescooped by Jess Chalmers from Educational Technology News
Scoop.it!

Not Just Numbers: How Educators Are Using Data in the Classroom

Not Just Numbers: How Educators Are Using Data in the Classroom | Analytics and data  - trying to understand the conversation | Scoop.it
If you’re an educator, chances are you’ve heard the phrase “data-driven instruction,” where you’re asked to constantly assess, analyze, and adjust how you teach students.But one word in that phrase often raises a host of questions: What counts as “data”? How do you collect it? And what types of data

Via EDTECH@UTRGV
more...
elearning at eCampus ULg's curator insight, October 27, 2016 5:20 AM
Some nice informations about how data can be used by teachers

Rescooped by Jess Chalmers from Educational Technology News
Scoop.it!

University dramatically rethinks data to boost online retention

University dramatically rethinks data to boost online retention | Analytics and data  - trying to understand the conversation | Scoop.it
Open-access Strayer University is using student-engagement metrics to identify at-risk students—and to improve the quality of its courses and teaching overall.

Via EDTECH@UTRGV
more...
No comment yet.
Rescooped by Jess Chalmers from Educational Technology News
Scoop.it!

Google Search Results to Include Student Outcomes Data from College Scorecard

Google Search Results to Include Student Outcomes Data from College Scorecard | Analytics and data  - trying to understand the conversation | Scoop.it
Next time users search for a college or university in Google, they’ll get more than a map and logo for the institution in the right-hand side of their browser. Alongside the address and brief Wikipedia synopsis they’ll find information related to student outcomes, such as the graduation rate and the

Via EDTECH@UTRGV
more...
No comment yet.
Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
Scoop.it!

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
more...
No comment yet.
Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
Scoop.it!

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
more...
No comment yet.
Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
Scoop.it!

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
more...
No comment yet.
Rescooped by Jess Chalmers from Connectivism
Scoop.it!

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
more...
No comment yet.
Rescooped by Jess Chalmers from Educational Technology News
Scoop.it!

Dashboards can have make-or-break importance for underperforming students

Dashboards can have make-or-break importance for underperforming students | Analytics and data  - trying to understand the conversation | Scoop.it
Students who are at risk academically could benefit from access to student-centered educational dashboards with performance data.

Via EDTECH@UTRGV
more...
No comment yet.
Rescooped by Jess Chalmers from E-Learning-Inclusivo (Mashup)
Scoop.it!

Will Big Data Influence Artificial Intelligence as a Major Disruption? 

In this contributed article, Arun Goyal, Founder at Octal Info Solution, discusses how big data is positioned to influence AI as a major disruption in the industry.

Via Mindseye, juandoming
more...
No comment yet.
Rescooped by Jess Chalmers from Educational Technology News
Scoop.it!

Making A Difference with Data

Making A Difference with Data | Analytics and data  - trying to understand the conversation | Scoop.it
The new formula for making a difference is Cause + Code. Here are examples of organizations already making a difference with data.

Via EDTECH@UTRGV
more...
No comment yet.
Rescooped by Jess Chalmers from 21C Innovation in Teaching and Learning
Scoop.it!

The Data Workout: How It's Impacting Teaching and Learning (EdSurge Guides)

The Data Workout: How It's Impacting Teaching and Learning (EdSurge Guides) | Analytics and data  - trying to understand the conversation | Scoop.it
If you think data—in education, or any field—is cut and dry, think again. Working with data in the classroom, especially, can be either exhausting or exhilarating—depending on your fitness level. Data can be big, but also quite small. It’s often quantitative, but is increasingly qualitative. It’s pr

Via Daniela Silva
more...
No comment yet.
Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
Scoop.it!

Universities Can Predict When Students Are About to Drop Out

Universities Can Predict When Students Are About to Drop Out | Analytics and data  - trying to understand the conversation | Scoop.it
With access to predictive analytics and more data than ever before, how can universities avoid invading students’ privacy while promoting academic success?

Via Peter Mellow
more...
No comment yet.
Rescooped by Jess Chalmers from Educational Technology News
Scoop.it!

Teaching And Learning Analytics To Support Teacher Inquiry

Teaching And Learning Analytics To Support Teacher Inquiry | Analytics and data  - trying to understand the conversation | Scoop.it
Want to know about analytics for the classroom teacher? Check the 4th article of this series and learn about Teaching And Learning Analytics.

Via EDTECH@UTRGV
more...
elearning at eCampus ULg's curator insight, October 25, 2016 5:14 AM
Rare are the occasions where teacher use analytics for enhancing their teaching. A good reminder
Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
Scoop.it!

Making Analytics Accessible, Understandable, and Actionable

Making Analytics Accessible, Understandable, and Actionable | Analytics and data  - trying to understand the conversation | Scoop.it

Key Takeaways


Higher education data professionals need to work to take the complexity out of institutional data, making it easily accessible, understandable, and actionable.
Institutions must take fundamental steps to successfully implement an effective, institution-wide business intelligence and analytics capability.


In building this capability, institutions must provide greater visibility into the critical connections between enrollment, student outcomes, and financial data.


Technology alone isn't the answer — investing in data science and storytelling expertise is critical to glean insights that lead to action.


Via Kim Flintoff
more...
No comment yet.
Rescooped by Jess Chalmers from Learning Innovations
Scoop.it!

8 Qualitative eLearning Assessment Methods To Track Online Learners Progress

8 Qualitative eLearning Assessment Methods To Track Online Learners Progress | Analytics and data  - trying to understand the conversation | Scoop.it
Wondering which Qualitative eLearning Assessment methods to use to track online learners' progress? Check 7 Qualitative eLearning Assessment methods.

Via Paul van Helmond
more...
No comment yet.
Rescooped by Jess Chalmers from Educational Technology News
Scoop.it!

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
more...
No comment yet.
Rescooped by Jess Chalmers from Educational Technology News
Scoop.it!

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
more...
No comment yet.
Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
Scoop.it!

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
more...
No comment yet.
Rescooped by Jess Chalmers from Learning Analytics, Educational Data Mining, Adaptive Learning in Higher Education
Scoop.it!

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.


Via Peter Mellow
more...
No comment yet.