Tracking and Reporting SCORM Data Using Web Services: An LMS Agnostic Approach Learner

The Need There is currently a need within the industry to track learner data using the SCORM standard data model in a way that is not dependant on any specific LMS. A secondary need is to track analytics describing the way learners interact with the courseware since SCORM does not track these items. What Needs to Be Fixed

What We Propose LMS Agnostic Environment A mix of existing and custom web services Track the entire SCORM 1.2 and th Edition data model Track other learner interactions within the courseware that are outside the scope of SCORM. Allow for future additions – Allow developers to specify what specification they would like to use to send data to the web service AICC SCORM QTI Other …

Benefits This will increase the number of courseware vendors that use SCORM reporting to the fullest extent, knowing that the reports generated will be usable and accessible. This will separate the reporting from the LMS so that institutions can select the LMS that delivers training and manages learners in the way that they need, while still being able to access advanced reporting, measurement, and data tracking. This will enable the stake holders of these e-learning programs to easily view and assess learner performance data giving them a reliable measure of training return on investment (ROI). What is in it for me

Project Goals To create a web service, which we have named Metis-WS To create a JavaScript courseware API named Metis- JS To create a standard way of tracking, aggregating, and reporting learner data To create a system flexible enough to work with SCORM and non-SCORM data To create a customizable, real-time FLEX-based system with charting and graphing capabilities

Implementation A Web Services Approach JavaScript file (Metis-JS) that is placed in the SCORM course – Intercept the calls from the SCO and forward them to both the Metis Web Service (Metis-WS), where the data can be aggregated, and the LMS, where the data can be used for SCORM session management. Web service (Metis-JS) that is accessible via HTTP – Work with any course and any LMS – Work in a cross-domain environment – Consume raw data and render graphs

Implementation A Web Services Approach

How About Analytics? Web analytics is the measurement, collection, analysis and reporting of internet data for purposes of understanding and optimizing web usage. - Web analytics incompasses many of the data points that trainers are interested in outside of SCORM – onMouseOver – OnMouseOut – OnClick (right and left mouse) – Onfocus – Key press – Key up – Key down Bringing Web Analytics to Training

How About Analytics? On-site web analytics measure a visitor's journey through your website. – Now think of that in terms of training. ‘ Measure a learner ’ s journey through your course. ’ Beyond the World of SCORM Web analytics are outside of the realm of SCORM and have been collected for years by webmasters. It is time to start collecting these for trainers.

Its Been Done Chartbeat.com Google Analytics Clicktale.net piwik.org Web Analytics Examples

The Mash-Up SCORM + Web Analytics The "Big Idea" of this project is to be able to Mash-Up services that Track SCORM data with services that currently track web analytics data Produce a system that is flexible to consume many standard and non-standard data types Produce useful graphical descriptions of the data.

What We Can Do Now Use Open Source tools to track web analytics – (Basic Analytics: page views, hits…) – (Basic analytics PLUS play the users mouse movements and heat-maps)users mouse movementsheat-maps Open Source LMS to track SCORM data – ILIAS – Moodle – Dokeos

Questions Office: x201 Cell: Wrap Up Brian Caudill JCA Solutions