An Outdated Legacy: 6 Reasons Why It's Time to Move Beyond SCORM

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As we approach 2024, it's perplexing to see companies still clinging to SCORM (Shareable Content Object Reference Model) as a core component in their e-learning strategies. Developed in the late 1990s, SCORM was revolutionary for its time, enabling standardized communication between online learning content and learning management systems (LMS). However, as technology has evolved, SCORM's limitations have become increasingly apparent, making it an outdated and nearly obsolete framework in today's dynamic learning environment.

Quickify AI does not support SCORM. It's a modern cloud-hosted CMS for next generation workplace learning. 

1. The Old Guard: SCORM's Dated Approach

SCORM's principal issue is that it was designed for a different era of the internet, one that was more static and less interactive than today. It primarily tracks completion, time spent, and basic pass/fail states - metrics that are no longer sufficient for the nuanced needs of modern workplace learning.

2. An over-reliance on SCORM

An over-reliance on SCORM has been detrimental. Companies often invest heavily in SCORM-compliant content and systems, sometimes under the misconception that SCORM is the only or best way to deliver e-learning. This investment diverts resources from more innovative and effective learning solutions.

3. Limited Tracking and Analytics

Consider a company using SCORM-based courses to train its sales team. The SCORM data tells them who completed the course and their pass/fail status, but it offers little insight into how the course impacts sales performance, skill application, or behavioral changes. Modern learning analytics demand more in-depth tracking and personalization, which SCORM cannot provide.

4. High costs with low return on investment (ROI)

A mid-sized enterprise might spend thousands of dollars on SCORM-compliant courses and LMS. Yet, they find that these courses are not engaging, do not cater to the varied learning styles of their employees, and fail to integrate with newer technologies like mobile learning or advanced data analytics, leading to a low return on investment.

5. Lack of Flexibility and Adaptation

Imagine a company striving to implement adaptive learning paths, where content adjusts based on an individual’s performance and preferences. SCORM's framework makes this nearly impossible, as it doesn't support the dynamic content delivery or detailed data tracking required for such personalization.

6. Impedes the evolution of workplace learning

The most significant issue with SCORM is that it is holding back the progress and evolution of workplace learning. In an age where learning needs to be flexible, personalized, and accessible, SCORM's rigid structure is a significant handicap.

SCORM Alternatives: Embracing Modern Solutions

The good news is that there are numerous alternatives to SCORM that offer more flexibility, better analytics, and greater compatibility with current technologies.

  1. Cloud-Based LMS: Modern Learning Management Systems (LMS) like Quickify AI are cloud-based, do not use or rely on SCORM which offers a better learning experience, greater flexibility, and advanced analytics.
  2. xAPI (Experience API): This standard goes beyond SCORM by tracking a wide range of learning experiences and providing detailed analytics. It's especially useful for mobile learning, informal learning, and simulations.
  3. Learning Record Store (LRS): Paired with xAPI, LRS allows for more comprehensive data collection and analysis, offering insights into learning effectiveness and engagement.

Quickify AI does not support xAPI or LRS. It is a self-contained, stand-alone system that lives outside of your corporate firewall.


While SCORM played a role in standardizing e-learning, its time has passed. Companies clinging to SCORM are not just missing out on the benefits of modern learning technologies but are also potentially hindering their progress in creating effective, engaging, and adaptable learning environments. It's time for organizations to reassess their learning strategies and embrace the innovations available in the digital learning landscape of 2024 and beyond.

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