Webanywhere
NOVEMBER 15, 2022
Two current trends in technology-enhanced learning systems that are now starting to gain exposure and adoption are Learning Analytics and the SCORM upgrade/replacement, TinCan, also known as xAPI. Learning Analytics is the application of marketing-style analysis to data generated by learners.
Vikas Joshi on Interactive Learning
NOVEMBER 29, 2011
Here we deal with problems such as grade data privacy, activation and deactivation of users for business reasons, and protecting sensitive business information arising from learning systems from prying eyes. So you need to support offline learning capability. A well-customized Moodle can do that.
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Experience API
OCTOBER 23, 2018
xAPI data can come from: Non-launched learning experiences : activities that happen outside of a browser. Launched learning content : traditional eLearning courses, usually via an LMS. eLearning systems : other learning systems like a next-gen learning platform. Store xAPI data offline.
eLearning 24-7
AUGUST 23, 2018
A new type of search, find, assess, engage platform where buyers and all types of learning system providers can connect. Simply it is a way to search, assess and compare learning systems in a platform that mimics, well, a learning system, specifically LMS. . Out of it, has come FindAnLMS. . How do I start?
eLearning 24-7
JUNE 3, 2022
Before diving into how to tap into your learning system for the certification program experience, here are some questions you will need to think about, before saying “okay, we are doing a certification program online” What is the end game/objectives for your certification program? Certification Questions.
Trivantis
OCTOBER 15, 2012
The Tin Can API can easily recognize and track a wide range of learning activities including: Mobile learning. Social-learning. Experiential learning. Offline learning. Collaborative learning. Privacy Policy | Terms of Service.' Simulations. Virtual worlds. Serious games. Case Studies.
Instancy
NOVEMBER 8, 2023
These include technological difficulties, low user involvement, and data security and privacy concerns. Mobile learning projects are more likely to be fruitful if they adhere to established best practices. There are, however, obstacles to be addressed, as with any technology-driven endeavor.
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