What is Workflow Learning Technology?

Workflow learning technology is becoming increasingly important in the manufacturing sector, offering significant benefits for learning and development, employee training, productivity, and overall operational efficiency. This technology’s main uses are directed toward solving issues related to manufacturing’s ever-worsening skills gap and skilled labor shortage, which threatens a shortage of 2.1 million unfilled jobs by 2030 if left unaddressed.

Manufacturers are increasingly investing in innovative workflow learning technologies as well as training programs and partnerships with educational institutions to bridge this gap and ensure a steady supply of skilled workers. Read below to learn more about workflow learning technologies, methodologies, and the benefits they offer manufacturing operations and workforces.

Workflow Learning Technology: An Overview
Benefits of Workflow Learning Technology in Manufacturing
Learning in the Flow-of-Work with AI-Driven Connected Worker Technology

Workflow Learning Technology: An Overview

As manufacturers continue to struggle with a skilled labor shortage, workflow learning technology is more and more integral for maintaining competitiveness, competency, and supporting frontline workers.

This technology offers significant improvements for employee training, productivity, and overall operational efficiency, such as:

Just-in-time learning: Workflow learning technology allows manufacturers to provide employees with immediate access to relevant information and training materials exactly when needed. This reduces interruptions to work processes and enables employees to find solutions to problems they encounter on the job quickly.
Performance support tools: Manufacturers are implementing various performance support tools to facilitate workflow learning, with a significant focus on the integration of AI and connected worker software. Connected worker software plays a crucial role in this ecosystem by linking workers to digital resources, experts, and automated systems enabling seamless communication, instant access to technical documentation, and remote assistance. Together with AI-driven tools this technology offers predictive insights and personalized recommendations that guide workers through complex tasks, as well as features like:
- Microlearning modules
- One-point lessons
- Digital infographics and workflows
- Searchable knowledge bases and glossaries
- Video tutorials and audio files for accessibility
- Generative AI-powered assistants for on-demand guidance
Mobile-first approach: Many workflow learning solutions in manufacturing are designed to be mobile-friendly, allowing workers to access information and training materials on smartphones or tablets while on the factory floor. This is particularly beneficial for field technicians or employees working in different manufacturing facility areas.
AI and Connected Worker Platforms: Advanced workflow learning systems in manufacturing often incorporate AI and connected worker platforms. These technologies can:
- Predict potential issues and provide proactive maintenance information
- Analyze vast amounts of data to offer insights for decision-making
- Enable frontline worker data capture and document management for improved compliance
Continuous improvement: By collecting data on how employees interact with learning materials and perform tasks, workflow learning technology can help manufacturers identify areas for improvement in both training content and work processes.

workflow learning technology frontline worker

With workflow learning technologies manufacturers can streamline operations, reduce training time, improve product quality, and empower their workforce to adapt to new challenges and technologies more effectively. This approach enhances productivity and supports the development of a more skilled and flexible workforce in the rapidly evolving manufacturing landscape.

Benefits of Workflow Learning Technology in Manufacturing

Workflow learning technology offers impressive benefits and opportunities to manufacturing workers and organizations alike. Some key benefits of workflow learning technology in manufacturing are:

Improved efficiency and productivity: Workflow learning technology allows manufacturers to optimize operations by providing employees with immediate access to relevant information and training materials exactly when needed. This reduces interruptions to work processes and enables quick problem-solving.
Standardized processes and reduced errors: Digital work instructions and standard operating procedures (SOPs) help ensure consistency across operations, reducing errors and improving quality.
Real-time support and collaboration: Connected worker solutions facilitate communication between frontline workers and other team members, allowing for quick problem-solving and knowledge sharing.
Increased employee satisfaction and retention: Providing opportunities for learning and development through workflow learning can improve job satisfaction and help retain employees, especially among younger generations.
Flexibility and adaptability: Mobile-friendly solutions allow workers to access information and training materials on various devices, supporting a more flexible and adaptable workforce.

Overall, workflow learning technology helps manufacturers build a skilled and adaptable workforce, improving manufacturing operations, workforce adaptability and resilience, and organizational success.

Learning in the Flow-of-Work with AI-Driven Connected Worker Technology

More and more manufacturers are turning to smart, connected worker solutions to implement or enhance workflow learning initiatives. These solutions leverage digital and AI technologies to provide workers with real-time information, training, and support, enabling them to perform their tasks more effectively.

Most importantly, AI-driven connected worker tools enable learning in the flow-of-work, providing personnel with immediate access to relevant information and training materials precisely when needed. This allows workers to quickly find solutions to problems they encounter on the job without interrupting their workflow. Further advantages and benefits also include:

Digital work instructions
Real-time support and industrial collaboration
Improved knowledge and skills management
Enhanced safety and compliance
Integrated systems and unified interfaces
And more…

AI-driven connected worker platforms collect data on how employees interact with learning materials and perform tasks, helping manufacturers identify areas for improvement in both training content and work processes. This provides a centralized platform for sharing best practices, updating procedures, and furthering continuous improvement initiatives.

Interested in learning more?

Augmentir is the world’s most complete connected worker platform that allows industrial companies to digitize and optimize processes that support frontline workers from “hire to retire”. To learn more about Augmentir and see how our AI-powered connected worker platform enables workflow learning, workforce competency, and other workforce management initiatives in manufacturing, schedule a demo with one of our product experts.

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