Draft:Employee-generated Learning

Organizational learning From Wikipedia, the free encyclopedia

Employee-generated Learning (EGL) is an on-the-job training approach in which employees create training content based on their day-to-day expertise. It represents a shift from traditional top-down instructional design, where a central learning development (L&D) team produces training materials, to a bottom-up model that distributes content creation across the workforce. The approach aims to reduce production time and cost, keep learning materials up to date, and capture operational knowledge held by subject-matter experts (SMEs).

  • Comment: In accordance with the Wikimedia Foundation's Terms of Use, I disclose that I have been paid by my employer for my contributions to this article. Raresbratucu (talk) 10:58, 8 January 2026 (UTC)


Background

Traditional e-learning development has historically been resource-intensive. Research by the Chapman Alliance, based on data from 249 organizations and nearly 4,000 learning professionals, found that producing one hour of e-learning content requires between 49 and 716 hours of development work depending on complexity, at an average internal cost of $10,054 to $50,371 per finished hour.[1] These figures reflect the demands placed on centralized L&D teams who must gather expertise from SMEs, translate it into instructional material, and maintain content over time.

Broader workplace learning research has established that employees increasingly acquire knowledge through informal and peer-supported methods rather than formal training programs. Eraut's work on informal workplace learning demonstrated that much of what professionals know is acquired through practical experience and peer interaction, and that tacit knowledge developed in context is often more readily applied than formally taught content.[2] These findings contributed to the rise in popularity for decentralized models of learning content creation.

The 70:20:10 model, developed by Morgan McCall, Michael Lombardo, and Robert Eichinger at the Center for Creative Leadership in the 1980s, proposes that approximately 70% of effective workplace learning occurs through on-the-job experience, 20% through social and peer-based interaction, and 10% through formal instruction.[3] Employee-generated Learning is frequently situated within this framework, with EGL content positioned as supporting the experiential and social components of workplace learning.

Definition

Employee-generated Learning is a model in which employees or subject-matter experts design training materials for peers.[4] It shifts responsibility for content creation from L&D teams to the people who hold firsthand operational knowledge. L&D professionals support the process through coaching, quality review, and strategic alignment, but they no longer serve as sole content producers.

Academic research on employee-driven learning and innovation suggests that bottom-up learning approaches can strengthen organizational adaptability by enabling workers to shape learning based on real operational needs.[5]

The approach supports the creation of company-tailored training that reflects current practices. Its core principle is that knowledge should remain in the business, and that those closest to the work are best placed to document and share it.

Theoretical background

Although Employee-generated Learning is a practical workplace methodology, it draws on several established learning theories. These theories provide the rationale for why employee-driven content may increase relevance, shorten production cycles, and improve application at work.

Research on peer learning in workplace settings shows that employees who learn from one another can improve individual and team performance, supporting the idea that employee-driven knowledge sharing can improve day-to-day effectiveness.[6]

Five Moments of Learning Need

Developed by Bob Mosher and Conrad Gottfredson, this framework identifies five learning triggers: new, more, apply, solve, and change.[7] In EGL, employees often create microlearning resources and quick reference materials that support "apply," "solve," and "change" moments, which occur directly in the workflow.

Action Mapping

Cathy Moore's action mapping model emphasizes alignment between learning goals and business goals.[8] Because EGL authors are embedded in operations, the content they produce is typically shaped by real performance needs and behavior change requirements.

Bloom's Taxonomy

Bloom's taxonomy outlines six levels of learning. Employee-generated materials typically focus on the first three levels: remembering, understanding, and applying. Higher-level learning design, such as analyzing or evaluating, usually remains the responsibility of instructional designers due to its complexity.

Benefits

Faster content development

EGL shortens production cycles by removing the need for lengthy interviews between instructional designers and subject-matter experts. Employees create content directly, which reduces development time and speeds up updates when processes change.

Lower costs

Traditional e-learning can take between 49 and 267 hours to produce one hour of content and may cost tens of thousands of dollars.[1] EGL can significantly reduce these costs by decentralizing production and relying on internal expertise.

Knowledge retention

EGL helps organizations capture knowledge that might otherwise be lost due to employee turnover, retirement, or organizational restructuring.

Greater alignment with business needs

Because content is created by operational experts, training materials often reflect up-to-date practices more accurately than centrally-produced content.

Expanded L&D capacity

By shifting production to subject-matter experts, L&D teams can focus on strategy, learning culture, analytics, and capability development.

Challenges and limitations

Content quality

As with any decentralized model, concerns exist about accuracy and instructional quality. Organizations using EGL often implement content governance frameworks, peer review processes, coaching from instructional designers, and clear author attribution to maintain quality.[4]

Time constraints for subject-matter experts

Subject-matter experts may view content creation as an additional burden. That said, documenting frequently requested knowledge can save time over the long term by reducing repeated questions and onboarding support.[6]

Suitability for different use cases

EGL is most effective for training needs that affect small or specialized groups, or topics that change frequently. It is not typically used for compliance, safety, or other high-risk content that requires formal oversight and an audit trail.

Limitations in advanced learning design

EGL is not designed for higher levels of Bloom's taxonomy (like analyzing or evaluating) or complex program design.[4] These remain the domain of L&D professionals.

Adoption

Studies of peer-to-peer learning programs in large organizations such as Google and Peloton show that subject-matter experts can play a central role in scaling knowledge and supporting continuous learning across distributed teams.[9]

Implementation

Organizations implement EGL in different ways, but many begin on a small scale by focusing on priority topics where operational knowledge is critical and existing training is insufficient. Starting with contained initiatives helps demonstrate value and allows employees to adjust to the model before wider adoption.

L&D teams typically play a supporting role by providing coaching, setting quality expectations, and guiding subject-matter experts through content creation. Successful implementation also depends on access to intuitive authoring tools, clear governance, and ongoing support structures, often aligned with broader workplace learning models such as the 70/20/10 model, to help employees create effective learning content independently.

References

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