About a year ago, I pursued an internship for my Bachelor BA at a relatively small company within the finance and accounting sector. My role involved to work a lot with clients and I received some side projects to fill my week. One side project was to make E-learnings about accounting standards. The goal was to develop E-learnings for the purpose of selling to finance departments struggling to familiarize themselves with the complex accounting standards. To get started, my supervisor gave me the big IFRS book and told me to start with a training about IAS 16 – Property, Plant & Equipment. He suggested me to create the E-learnings in Talentlms, a very old school E-learning program, recommended by a friend of him who used it for his E-learnings at his company.
I dove in the project, reading about an hour through IAS 16. The content is very boring, dry and hard to read without much interpretation. So, I started to ask GPT to create a training based on a IAS 16 document I uploaded in ChatGPT. I would use the output from GenAI as input for Talentlms. But then I asked myself: Why would someone be willing to pay for an E-learning with information they already have access to? They just have to prompt ChatGPT: “make me a comprehensive training about the accounting standard IAS 16.”
The added value of an E-learning, making static content less dry by turning it into a more engaging learning package, is completely overtaken by GenAI tools now. The information is already available and GenAi tools could turn it in a comprehensive training with questions, quizzes and real-life cases in just a snippet of time.
At the company, we recognized and embraced this internally by switching to another platform: Edapp. Edapp integrated GenAI in their platform, which allows us to offer dynamic tailored learning experiences on demand. Furthermore, Edapp steps away from the so-called old school method and their model integrates gamification techniques plus microlearning into the trainings.
All in All, The experience of creating E-learnings about accounting standards revealed a fundamental shift in how knowledge is shared, but also accessed. The rapid advancements in AI mean that complex information is more accessible than ever before. Therefore the new challenge in E-learning is to add value beyond what AI can generate.