Joe Donnelly Dec 17 • SCORM Engine/LMS
We've just released a new version of SCORM Engine (2014.1)! This version includes a number of improvements that make this one of the most robust upgrades in the history of the SCORM Engine, so you definitely want to think about getting your application updated to use 2014.1. If you are ready to start talking upgrade, go ahead and contact us or just shoot us a message if you have any questions!
Here are some of the highlights:
1. It's SCORM and Tin Can conformant! The new Tin Can (xAPI) Conformance Test Suite from ADL includes hundreds of tests to assess LRS conformance. Rest assured, SCORM Engine 2014 passes them all.
3. It's even faster than before. We've made significant database improvements for increased speed and overall performance.
4. Improved Tin Can implementation with focus on performance
5. Tin Can conformance bug fixes (see #1)
6. Added Postgres V3 support
7. Improved Oracle performance
8. Improved DB Retry support
9. Fixed XSS vulnerabilities found in security audit
Where can you find more information?
Tammy Rutherford Aug 25 • The Latest News
It’s happening! Large (successful) corporations are using Tin Can AND finding it helpful in driving business decisions. Want proof?
AT&T engaged in a proof-of-concept to trial a new approach to compliance and ethics training—difficult things to measure. To bridge the analytic gap, AT&T leveraged Tin Can and Watershed LRS to examine how learners interact with content. This involved two levels of situational simulations that were randomly assigned to learners who chose to participate.
Simulation 1: Basic text and graphics with one branch that provided immediate feedback based on the learner’s response. Think: basic read and click.
Simulation 2: Video-based, experiential simulation with multiple branches. Branches provided provided emotional responses from supervisors or customers based on learner choices. Learners were also encouraged to “rewind” and explore multiple paths.
Why the two simulations? The goal was to determine if the effectiveness of the video-based approach justified the additional expense. Also, to identify which motivators produced the highest volunteer response rate.
What was being tracked? Tin Can statements were generated from the following experiences:
Since all of the survey, learning, and performance data resides in one place, it’s easier to make correlations and see which actions lead to the desired outcomes.
To learn more about how AT&T is leveraging Tin Can and an LRS, you can view the AT&T webinar recording here, or access the Q&A page that has questions and answers that occurred during our AT&T/Tin Can API webinar.
Tammy Rutherford May 01 • SCORM Cloud / Dispatch
Great news! You can create a Dispatch of a Tin Can course. Here's how you can make it happen:
1. From your "Library" page, select the Tin Can course/s you want to create Dispatches for (yes, you can select more than 1 at a time if they are both going to the same Client LMS)
2. Click on the "Dispatch" button
3. Follow the instructions on setting up the Dispatch.
4. Download the Dispatch file to save it locally.
5. Provide Dispatch file to your clients for them to load into their LMS- just like any other SCORM 1.2 file.
Voila! Tin Can courses now launching from a SCORM LMS. Tin Can statements are stored in your Cloud LRS. SCORM data is reported back to the client LMS.
Tammy Rutherford November 25, 2013 • 3 • SCORM Engine/LMS
We've just released a new version of SCORM Engine (2013.2)- chock full of some new tools to make your TinCan API experience with Engine even better. And some improvements including a new face to Console. If you're ready to upgrade to the latest version, just contact us at firstname.lastname@example.org.
We’ve listened and heard the need for more aggregated reporting based on the Tin Can activities your learners are using outside of the LMS. Engine now has a new reporting feature set that provides easy access to pull data from the LRS to answer such questions as “What activities have my users been completing?”, “How has Joe been performing on his activities?”, “How much time has a user spent in our basic training course?”
This functionality will provide a companion LRS endpoint to allow you to extract aggregated results data on any user and activity combination in your system.
Check out the developer documentation here and let us know if you have any questions.
You can now forward your statements, or allow your learners to forward their statements, to any other LRS for which you have credentials. See the documentation here for more details.
Note that this release of the Tin Can API (xAPI) Specification is only a patch release. In accordance with semantic versioning, which Tin Can API (xAPI) follows, there are no functional changes within this version.