Current SCORM Use of the Data Model
SCORM has enabled interoperable tracking of learner progress since its inception through the ADL Data Model. Originally founded on the AICC CMI Data Model, ADL has continued to participate in the data model’s evolution into and through IEEE LTSC. Currently, SCORM 2004 4th Edition provides a stable and well-defined basis for capturing learner performance.
Over time, ADL has received feedback and requests for other data capture. ADL recognizes that the current SCORM Data Model does not meet all needs, nor is it sufficient for some forms of content.
Some of the common concerns regarding SCORM Data Model include:
ADL is committed to facilitating a conversation that captures the Data Model requirements of the SCORM user community. We have established a facilitated discussion forum and a broader IdeaScale site to capture bugs, issues, recommendations, and experiences people have had with the SCORM Data Model. While this activity is focused on the SCORM 2004 Data Model (as realized from the IEEE CMI Standard), we also want to hear any and all concerns regarding the SCORM 1.2 Data Model and legacy content support issues.
You and your organization are invited to join the broader discussion between ADL, AICC, IEEE LTSC, and LETSI. A meeting to discuss harmonization of the CMI Data Model will be hosted at the ADL Co-Lab Hub in Alexandria, Virginia on September 7th – virtual participation will be available. For those of you unable to attend, a Twitter stream with the hash tag #cmiharmony will provide a real-time capture of the discussions. ADL will summarize the meeting and steps ahead via this site.
ADL is considering future updates to SCORM and believes that a harmonized approach to the CMI Data Model, one that enables future learning applications, will benefit the SCORM User Community. To foster multi-lateral collaboration with other interested groups (AICC, IEEE LTSC, LETSI and possibly others), ADL will capture SCORM User Community feedback and represent that community in the discussions.
Principally, ADL is interested in four areas of feedback: