One of the key benefits of Skilljar's learning management system is our flexibility with course authoring. We can import packaged content in SCORM 1.2 format, and we also support lightweight course authoring by directly uploading videos, PDFs, creating quizzes, and more. In fact, you can combine one or more SCORM software packages with other types of content authored on the Skilljar platform, all within the same course.
Training managers and instructional designers who are creating new courses now have the option of using a traditional desktop authoring tool (such as Articulate Storyline or Adobe Captivate), or using Skilljar’s built-in course authoring tools. If you are wondering what the best way to create SCORM content is, this guide can help. Here are the key details to consider when deciding your approach.

The Case for SCORM and Packaged Content
- Portable to other systems. The course is a stand-alone, discrete unit that can be uploaded as one piece into any system that accepts SCORM. This is important for packaged eLearning content that is meant to be imported into many different LMS systems.
- Richer authoring capabilities. Desktop authoring software provides more specialized features than most LMS authoring options. These features may include more interactions, animations, templates, and characters.
- Standardized reporting. SCORM modules report the same data in a consistent format, though the data itself may be limited in scope. There is also more data standardization around migrations and backfills.
Conclusion
Ultimately, which course authoring tool is best for you will depend on the goals of the course, your target audience, and the instructional design of the course. Using built-in course authoring is a fast and agile approach, but SCORM and packaged content is more fully featured and portable. There are pros and cons to consider with each choice. If you simply can't decide, we've got you covered. Skilljar recognizes that organizations have different content preferences and design needs, so our platform supports both approaches with flexible mix-and-match options.
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