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TalentLMS for Android: The Content Downloader – Part 1, Design

TalentLMS

The internal name for this feature is the Content Downloader and, as the name suggests, it makes sure that content from the user’s Courses is always made available on the mobile device (for both online and offline consumption when possible) as soon as the user looks for it. Below is an overview of those goals: Short waiting times.

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Answering your LMS Questions

eLearning 24-7

Mobile learning – it might surprise you to know that 75-80% of all systems in the space, currently do not offer any type of mobile learning, the number goes up even higher for online/offline synch. Just a quick overview of common features folks ask and virtually all systems offer (this is by no means an entire list).

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Native Mobile Apps vs Web Apps: Determining Which One Is the Best Fit for Your Development Needs

Learning Management System Software India | Webnox Technologies

Native mobile apps are designed to operate seamlessly even in offline environments, catering to users in areas with limited or no internet connectivity. This offline functionality ensures a continuous user experience. If your users are tech-savvy and often explore app stores, native apps might be the preferred route.

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Native Mobile Apps vs Web Apps: Determining Which One Is the Best Fit for Your Development Needs

Learning Management System Software India | Webnox Technologies

Native mobile apps are designed to operate seamlessly even in offline environments, catering to users in areas with limited or no internet connectivity. This offline functionality ensures a continuous user experience. If your users are tech-savvy and often explore app stores, native apps might be the preferred route.

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Webinar Q&A: Empowering Continuous Learning with the Experience API (xAPI)

Experience API

Answer: This is actually the third question in our Tech Overview FAQ on tincanapi.com. The data is stored on Google’s servers and can only be used for reporting. Answer: xAPI can be used to track events that happened in the past; this is how the offline tracking works, but it can also be used to convert legacy learning data.

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