Searching for "analytics"

Learning analytics adoption in Higher Education

SoLAR Webinar “Learning analytics adoption in Higher Education: Reviewing six years of experience at Open University UK”

presented by Prof. Bart Rienties from the Open University, The United Kingdom.

To register, go to https://www.eventbrite.com.au/e/learning-analytics-adoption-in-higher-education-reviewing-six-years-of-experience-at-open-registration-105611406560

Time and date: Thursday, Jun 11, 2020, 5:00 PM – 6:00 PM Central European time

(11:00 AM–12:00 PM Eastern US time, 8:00 AM–9:00 AM Pacific US time, 4:00 PM–5:00 PM London, UK Time)

Location: Zoom (meeting URL provided in the registration email)

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more on learning analytics in this IMS blog
https://blog.stcloudstate.edu/ims?s=learning+analytics

Learning analytics, student satisfaction, and student performance

Learning analytics, student satisfaction, and student performance at the UK Open University

https://www.tonybates.ca/2018/05/11/11025/
Rienties and his team linked 151 modules (courses) and 111,256 students with students’ behaviour, satisfaction and performance at the Open University UK, using multiple regression models.

There is little correlation between student course evaluations and student performance

The design of the course matters

Student feedback on the quality of a course is really important but it is more useful as a conversation between students and instructors/designers than as a quantitative ranking of the quality of a course.  In fact using learner satisfaction as a way to rank teaching is highly misleading. Learner satisfaction encompasses a very wide range of factors as well as the teaching of a particular course. 

this research provides quantitative evidence of the importance of learning design in online and distance teaching. Good design leads to better learning outcomes. We need a shift in the power balance between university and college subject experts and learning designers resulting in the latter being treated as at least equals in the teaching process.

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more on learning analytics in this IMS blog
https://blog.stcloudstate.edu/ims?s=learning+analytics

Beginner’s Guide to Google Analytics

The Absolute Beginner’s Guide to Google Analytics

https://moz.com/blog/absolute-beginners-guide-to-google-analytics

Kristi Hines June 24th, 2015

  • How many people visit my website?
  • Where do my visitors live?
  • Do I need a mobile-friendly website?
  • What websites send traffic to my website?
  • What marketing tactics drive the most traffic to my website?
  • Which pages on my website are the most popular?
  • How many visitors have I converted into leads or customers?
  • Where did my converting visitors come from and go on my website?
  • How can I improve my website’s speed?
  • What blog content do my visitors like the most?

Google Analytics account. If you have a primary Google account that you use for other services like Gmail, Google Drive, Google Calendar, Google+, or YouTube, then you should set up your Google Analytics using that Google account. Or you will need to create a new one.

Big tip: don’t let your anyone (your web designer, web developer, web host, SEO person, etc.) create your website’s Google Analytics account under their own Google account so they can “manage” it for you. If you and this person part ways, they will take your Google Analytics data with them, and you will have to start all over.

go to Google Analytics and click the Sign into Google Analytics button.

Google Analytics offers hierarchies to organize your account. You can have up to 100 Google Analytics accounts under one Google account. You can have up to 50 website properties under one Google Analytics account. You can have up to 25 views under one website property.

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more on Google Analytics in this IMS blog
https://blog.stcloudstate.edu/ims?s=google+analytics

 

K12 administrators and data analytics

Data Analytics a Key Skill for Administrators in K–12

A recent report highlights how data can open the door for K-12 school administrators to maximize student outcomes.
Eli Zimmerman
K-12 school districts looking to improve student success rates should invest in training administrators in data analysis, according to a report from the Data Quality Campaign.
Report authors also call on state policymakers to help lead the charge for more literate school administrators. School and district administrators need to model and support effective data use at every level, including as part of classroom instruction

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more on data analytics in education in this IMS blog
https://blog.stcloudstate.edu/ims?s=data+analytics

Analytics Data Integration and Governance

Supporting Analytics through Data Integration and Governance

https://www.educause.edu/focus-areas-and-initiatives/enterprise-and-infrastructure/enterprise-it-program/supporting-analytics-through-data-integration-and-governance

Support analytics initiatives with data integration and governance. The changing landscape of enterprise IT is characterized by an expanding set of services, systems, and sourcing strategies. Data governance, cross-enterprise partnerships, and data integration are key ingredients in supporting higher education’s growing need for reliable information.

Enterprise IT Case Studies

In this set of EDUCAUSE Review case studies, see how Drake University, the University of Tennessee, and the University of Montana improved their analytics initiatives through data integrations and governance.

 

 

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more on analytics in this IMS blog
https://blog.stcloudstate.edu/ims?s=analytics

https://blog.stcloudstate.edu/ims?s=data+governance

analytics on demand

Free Webinar: Driving Decisions With Data

with Analytics On Demand, you can add value to your library’s existing data and unlock key insights about your community.

Monday, July 24, 2017 12 p.m. Central

Tune in to this free 60-minute webcast Joining us for this webinar are:

  • Jason Kucsma, deputy director, Toledo Lucas County (Ohio) Public Library
  • Liz Bondie, education sales consultant, Gale, a Cengage company

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more on data analytics in this IMS blog
https://blog.stcloudstate.edu/ims?s=analytics

responsible analytics

Call for Chapters: Responsible Analytics and Data Mining in Education

https://www.linkedin.com/groups/934617/934617-6276907956181233664

• Who collects and controls the data?
• Is it accessible to all stakeholders?
• How are the data being used, and is there a possibility for abuse?
• How do we assess data quality?
• Who determines which data to trust and use?
• What happens when the data analysis yields flawed results?
• How do we ensure due process when data-driven errors are uncovered?
• What policies are in place to address errors?
• Is there a plan for handling data breaches?

Call for Chapter Proposals page (https://big-data-in-education.blogspot.com)

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more on data mining in this IMS blog
https://blog.stcloudstate.edu/ims?s=data+mining
more on analytics in this IMS blog
https://blog.stcloudstate.edu/ims?s=analytics

Analytics and Data Mining in Education

https://www.linkedin.com/groups/934617/934617-6255144273688215555

Call For Chapters: Responsible Analytics and Data Mining in Education: Global Perspectives on Quality, Support, and Decision-Making

SUBMIT A 1-2 PAGE CHAPTER PROPOSAL
Deadline – June 1, 2017

Title:  Responsible Analytics and Data Mining in Education: Global Perspectives on Quality, Support, and Decision-Making

Synopsis:
Due to rapid advancements in our ability to collect, process, and analyze massive amounts of data, it is now possible for educators at all levels to gain new insights into how people learn. According to Bainbridge, et. al. (2015), using simple learning analytics models, educators now have the tools to identify, with up to 80% accuracy, which students are at the greatest risk of failure before classes even begin. As we consider the enormous potential of data analytics and data mining in education, we must also recognize a myriad of emerging issues and potential consequences—intentional and unintentional—to implement them responsibly. For example:

· Who collects and controls the data?
· Is it accessible to all stakeholders?
· How are the data being used, and is there a possibility for abuse?
· How do we assess data quality?
· Who determines which data to trust and use?
· What happens when the data analysis yields flawed results?
· How do we ensure due process when data-driven errors are uncovered?
· What policies are in place to address errors?
· Is there a plan for handling data breaches?

This book, published by Routledge Taylor & Francis Group, will provide insights and support for policy makers, administrators, faculty, and IT personnel on issues pertaining the responsible use data analytics and data mining in education.

Important Dates:

· June 1, 2017 – Chapter proposal submission deadline
· July 15, 2017 – Proposal decision notification
· October 15, 2017 – Full chapter submission deadline
· December 1, 2017 – Full chapter decision notification
· January 15, 2018 – Full chapter revisions due
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more on data mining in this IMS blog
https://blog.stcloudstate.edu/ims?s=data+mining

more on analytics in this IMS blog
https://blog.stcloudstate.edu/ims?s=analytics

social media analytics

social media measurement matrix

http://www.affectstrategies.com/files/AFT_SocialMediaSuccess_Measurement.pdf

social media measurement: a step by step approach

https://www.prinz.org.nz/Attachment?Action=Download&Attachment_id=1023

5 Essential & Easy Social Media Metrics You Should Be Measuring Right Now

https://blog.kissmetrics.com/essential-social-media-metrics/

 

  1. volume
  2. reach
  3. engagement
  4. influence
  5. share of voice

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