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Transcript

Impact & application

AI improves the workflow of L&D Generalists by automating routine tasks, enhancing the personalisation of learning experiences, and providing valuable insights for data-driven decision-making. This allows Generalists to focus on strategic aspects of their roles, such as curriculum design, learner engagement, and ongoing improvement, ultimately delivering more effective and efficient learning solutions.

AI

How this can be used or leveraged by a Generalist?

Tools & Tasks

By integrating Generative AI into their workflow, Generalists can streamline their processes, create more effective and engaging learning experiences, and stay adaptable in an ever-evolving field.

Rationale

The integration of AI into Learning and Development (L&D) represents a strategic choice guided by the need for enhanced efficiency, individualized learning experiences, and data-driven insights in an ever-changing educational environment.

Introduction

In today's rapidly evolving educational landscape, Generalists, who wear the hats of both Instructional Designers and eLearning Developers, face a multitude of tasks. But here's the good news: Artificial Intelligence (AI) is here to lend a helping hand. This poster explores how AI simplifies the work of Generalists, making their roles more efficient and effective in creating engaging and personalized learning experiences. Let's dive into how AI streamlines the workload, making the life of Generalists a bit easier.

A Tech Trend

References

These AI tools and software solutions help L&D Generalists automate tasks, enhance learner experiences, and improve the overall efficiency and effectiveness of their roles in instructional design and eLearning development.

An interactive poster made by Alice Ferguson, Will Tempest, Caroline de Stexhe, Eimear Corridan, Grace Ong, Rohunke Oyediran and Kellie Milford

This adoption empowers L&D practitioners to craft more compelling and accessible learning experiences, while concurrently streamlining their workflow. By harnessing AI, organizations can not only stay competitive but also offer adaptable and efficient learning solutions that cater to the diverse needs of learners, marking a pivotal advancement in the field of education.

“Generative AI has the ability to ingest large amounts of data from various sources that gets processed by large language models (LLMs) influenced by various parameters to create content (articles, blogs, recommendations, news, etc.) with a human-like tone and style.” - Greg Schultz (analyst at StorageIO)

1. Content Creation:

    1. GPT-3 (Generative Pre-trained Transformer 3): AI model by OpenAI that can generate text for various purposes, including eLearning content.
    2. Artbreeder: Uses AI to generate custom images and artwork for presentations and courses.
    3. Lumen5: Converts text content into engaging video content using AI, making it ideal for creating educational videos.

2. Data-Driven Insights:

    1. Tableau: A data visualization tool that can help L&D professionals visualize and analyze learner data.
    2. Learning Locker: A learning analytics platform that tracks learner progress and provides insights into course effectiveness.

3. Quality Assurance:

    1. Grammarly: Uses AI to check for grammar and spelling errors in written content.
    2. UsableNet: Provides AI-driven accessibility tools to ensure eLearning materials are accessible to all.

  • Content Generation: Generative AI can create diverse and engaging learning materials, such as text, images, and videos, saving time and effort for Generalists.
  • Personalized Learning: AI can analyze learner data and provide customized content, ensuring more effective learning experiences.
  • Data-Driven Insights: AI can gather and interpret data to help Generalists make informed decisions about course improvements.
  • Automated Feedback: Generative AI can provide instant feedback to learners, enhancing the assessment and learning process.
  • Curriculum Design: AI tools can assist in designing well-structured courses by suggesting content, pacing, and assessments.
  • Multimodal Learning: Generative AI can facilitate the creation of multimedia content, making learning more interactive and engaging.
  • Adaptive Learning Paths: AI can recommend individualized learning paths based on a student's progress and needs.
  • Quality Assurance: AI can check for errors, accessibility, and compliance, ensuring high-quality eLearning materials.
  • Resource Sourcing: AI can search and suggest relevant resources, saving time in content curation.
  • Collaboration Support: AI tools can aid in communication and collaboration among instructional design teams.
  • Accessibility Compliance: AI can help ensure that eLearning materials are accessible to all learners, including those with disabilities.
  • Continuous Improvement: AI can track the effectiveness of courses and recommend updates for ongoing enhancements.

Areas for impact & application

Robb, D. (2023) Generative AI vs AI, eWEEK. Available at: https://www.eweek.com/artificial-intelligence/generative-ai-vs-ai/#:~:text=Both%20generative%20AI%20and%20artificial. ‌

How is Artificial Intelligence Transforming the E-Learning Industry? (no date) www.lsbf.org.uk. Available at: https://www.lsbf.org.uk/blog/online-learning/how-is-artificial-intelligence-transforming-the-e-learning-industry. ‌

Seo, K., Tang, J., Roll, I. et al. The impact of artificial intelligence on learner–instructor interaction in online learning. Int J Educ Technol High Educ 18, 54 (2021). https://doi.org/10.1186/s41239-021-00292-9

References