Information and digital literacy in education via the digital path
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Information and digital literacy in education via the digital path
Literacy in a digital education world and peripheral issues.
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6 Strategies For Teaching With Bloom's Taxonomy

6 Strategies For Teaching With Bloom's Taxonomy | Information and digital literacy in education via the digital path | Scoop.it

Bloom’s Taxonomy can be a powerful tool to transform teaching and learning.

By design, it focuses attention away from content and instruction, and instead emphasizes the ‘cognitive events’ in the mind of a child. And this is no small change.

 

For decades, education reform has been focused on curriculum, assessment, instruction, and more recently standards, and data, with these efforts only bleeding over into how students think briefly, and by chance. This means that the focus of finite teacher and school resources are not on promoting thinking and understanding, but rather what kinds of things students are going to be thinking about and how they’ll prove they understand them.

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Digital literacies in the age of remix | Learning with 'e's

Digital literacies in the age of remix | Learning with 'e's | Information and digital literacy in education via the digital path | Scoop.it
I presented this latest version of my digital literacies model at the 2016 Solstice Conference hosted by Edge Hill University. The components in the model are by no means exhaustive - I acknowledge there are many more literacies, some of which are emergent due to new technologies and services. What I have attempted here is to represent what I consider to be the most important, or most regularly observed literacies and try to place them in context. It's also important to note that these do not replace the conventional literacies of reading and writing, speaking and listening, but are supplemental to them.
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Blended and Online Assessment Taxonomy Infographic - e-Learning Infographics

Blended and Online Assessment Taxonomy Infographic - e-Learning Infographics | Information and digital literacy in education via the digital path | Scoop.it
The Blended and Online Assessment Taxonomy Infographic presents types of activities and grading and feedback criteria to help you plan better assessments.
Connie Moore's curator insight, February 10, 2015 11:59 AM

great layout for visual learn ears ;)

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Taxonomy Of eLearning: Does eLearning Need A New Taxonomy?

Taxonomy Of eLearning: Does eLearning Need A New Taxonomy? | Information and digital literacy in education via the digital path | Scoop.it

"How do we measure success? The accomplishment of one’s goals, right? So, how do we measure success in eLearning? That would depend on who is asked; teacher, student, school manager, or vendor? It is easy to see how this question, then, could cause confusion. Do we then need a new taxonomy of eLearning?"


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Rescooped by Elizabeth E Charles from (I+D)+(i+c): Gamification, Game-Based Learning (GBL)
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Gamification Taxonomy

Gamification Taxonomy | Information and digital literacy in education via the digital path | Scoop.it
We have conducted extensive empirical research over the last 4 years as part of a university PhD program to develop the world's first comprehensive enterprise gamification taxonomy. Our taxonomy ha...

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elearning at eCampus ULg's curator insight, June 13, 2016 4:44 AM
An interesting taxonomy designed to help instructors to bring their game on
Josi Sierra's curator insight, June 15, 2016 3:31 AM
Gamifikazioaren Taxonomia interesgarri bat daukagu bat
Ricard Lloria's curator insight, June 18, 2016 3:12 AM
Share your insight
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Big data: Ten level taxonomy in learning | Donald Clark Plan B

Big data: Ten level taxonomy in learning | Donald Clark Plan B | Information and digital literacy in education via the digital path | Scoop.it

Big Data, at all sorts oflevels in learning, reveals secrets we never imagined we could discover. It reveals things to you the user, searcher, buyer and learner. It also reveals thing about you to the seller, ad vendors, tech giants and educational institutions. Big data is now big business, where megabytes mean megabucks. Given that less 2% of all information is now non-digital, it is clear where the data mining will unearth its treasure- online. As we do more online, searching, buying, selling, communicating, dating, banking, socializing and learning, we create more and more data that provides fuel for algorithms that improve with big numbers. The more you feed these algorithms the more useful they become.

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