How can you use SCORM data to identify at-risk learners?

1 What is SCORM data?

SCORM data is the information exchanged between your online learning content and your learning management system (LMS). This data can give insight into completion status, success status, score, time spent, and interaction data of a course or a specific activity. With SCORM data, you can track and measure the effectiveness of your online learning content and the performance of your learners. This data can also be used to generate reports, dashboards, and analytics that inform instructional design, delivery, and evaluation.

2 How to collect SCORM data?

In order to collect SCORM data, you must have two components: SCORM-compliant content and a SCORM-compliant LMS. To create SCORM-compliant content, you can use authoring tools such as Articulate Storyline, Adobe Captivate, or Lectora. To host and deliver your content, you can use LMS platforms like Moodle, Canvas, or Blackboard. Once you have both components in place, you can upload your content to the LMS and assign it to learners. When learners access and complete the content, the LMS will collect and store the SCORM data generated by the content.

3 How to analyze SCORM data?

To analyze SCORM data, you need to have a tool or a method that can interpret and display the data in a meaningful way. Depending on your needs and preferences, you can use built-in LMS reports to get an overview of learners' progress and performance in courses, as well as custom LMS reports to get a deeper understanding of engagement and learning outcomes. Additionally, external reporting tools such as SCORM Cloud, xAPI, or Learning Locker can be used to create more advanced or interactive reports, dashboards, or analytics that show complex or comprehensive SCORM data.

4 How to identify at-risk learners?

Identifying at-risk learners can be done by using SCORM data to look for indicators such as low completion rates, success rates, scores, time spent, and negative interaction data. These can suggest that learners are struggling, disengaged, or dissatisfied with the courses. By recognizing these behaviors, you can intervene and provide them with the necessary support, guidance, or feedback to help them overcome their challenges and reach their learning goals.

5 How to use SCORM data to improve your courses?

SCORM data can not only assist in identifying at-risk learners, but also help you improve your courses. By analyzing SCORM data, you can discern the advantages and disadvantages of your courses, and make modifications, improvements, or revisions that can enhance the quality, efficiency, and applicability of your courses. This data can be used to align your courses with your learning objectives, optimize your course design and delivery, and evaluate your course impact and outcomes. Through collecting, analyzing, and utilizing SCORM data, you can gain knowledge into your learners' progress, performance, and learning outcomes, and provide them with the most beneficial online learning experience.

6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?