I’ve tested Nolej (pronounced like “knowledge”), and I think it definitely has the potential to be a part of the production of e-learning materials.
In my testing of Nolej, it transcribed the video/text I fed it, analyzed concepts in the text, and then produced questions and a summary of the material.
As Nolej currently is, there are, of course, limitations, which the company itself informs about:
- The language is English
- Tutorials with work processes (know-how) do not work well as the material you can “feed” it with
- Teaching materials with chemical and mathematical formulas also do not work
Nolej‘s best cases are explicit, declarative knowledge as you know it from medicine, law and similar knowledge-intensive subjects.
In a demo video that I have seen, it is described how artificial intelligence transcribes and then analyzes large amounts of (preferably academic) material for concepts, creates graphs of the concepts’ connection, i.e. maps the knowledge gap and finally creates a protocol, i.e. learning path for how the learner gets there. When Nolej can go from supporting the production of materials to also supporting the design of paths, it will be fantastic, and it looks promising!
Although the educational usefulness is primarily exercises for remembering and understanding, and neither to apply, analyze, evaluate or create, I am impressed because the company has ambitions and a plan for how Nolej will eventually work with defined learning objectives!
Back to my experiment:
I gave Nolej a video to work with. When it was finished “a cup of coffee time” later, the insert below was the result. I have intentionally not corrected along the way or edited the final product. It, therefore, does not give a true picture of how the material would be presented to the student but a picture of how much Nolej can do without supervision.
After Nolej has done its work, it is up to a subject matter expert to assess the validity of the knowledge items and up to a designer to de-select the expected existing knowledge items and select the most important ones in relation to learning objectives to avoid cognitive overload and or boredom. The designer needs of course to address how to learn/practice applying, analyzing, evaluating and creating if that is relevant to the overall learning objective as well.
I think the current user interface will work well for the subject matter expert, but the designer cannot mark subjects in the three categories – expected known knowledge, possibly for repetition, – essential knowledge in relation to learning objectives and – unimportant knowledge. While we wait for the fully automated version with graphs and protocol, such a division will be a significant help in the design process. Perhaps Nolej can collect valuable data from that functionality?
One thing I have not yet seen automated is the scaffolding and motivating texts that tie the individual elements together into a process. Maybe that will come one day too?
All in all, I am very impressed with Nolej because it does not “just” generate quizzes; it produces materials for H5P ready for “Plug’n’Play” in any LMS and because it is going to save me huge amounts of time.
Try out one item here or login as a guest and have a look at all of what Nolej produced for me here