Learning Technology Ecosystems Are Critical to Successful Organizational Performance

A new Association for Talent Development research report about learning technology ecosystems uncovered the technology platforms, social learning tools, and strategies that talent development professionals use to foster learning cultures within organizations.

“E-learning authoring software and learning management systems were the platforms and tools most frequently included in learning technology ecosystems,” according to the Learning Technology@ Ecosystems: Tools, Platforms, and Strategies report, sponsored by Allego. “Organizations that made full use of the features and capabilities of these core technologies were more likely to be high performers.”

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Learning technology@ has the potential to drive business and learning results, and this report shows the benchmarking data and best practices that high-performing companies use with their learning technology. Formally reviewing existing platforms and tools in the learning ecosystem at least annually to ensure they remain current with business and employee needs was associated with heightened organizational performance.

The report also examined the skills that talent development professionals needed to leverage technology and the common challenges experienced in building and maintaining a learning technology ecosystem.

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Survey respondents said the drivers to build and maintain learning ecosystems include:

• Improving learner experiences (better engagement, more ease of use, greater personalization)
• Increasing the ability to comply with regulations (for example, deliver and track required compliance training)
• Creating more overall efficiency in designing, delivering, and evaluating training

The barriers, they added, are:

• A lack of skills on the talent development staff
• A shortage of workers on the talent development staff
• Insufficient funding for learning technology ecosystems

The report explored a talent development team’s proficiency level in four skills: learning and mastering new technologies, selecting the appropriate technology for objectives, solving technology-related problems, and leveraging data to improve operations and experiences. The highest percentage of advanced proficiency was 29 percent for learning and mastering new technologies; the lowest advanced proficiency level was leveraging data to improve operations and experiences at 13 percent.

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