New AI Assistant Is Shaping the Future of Word Explanations
At Praxis, a part of Lindhardt og Ringhof, artificial intelligence is now taking over the task of generating word explanations. A new AI-powered glossary assistant has analyzed hundreds of Danish texts, from ancient times to the present, and generated thousands of word definitions, making a significant contribution to both learning and efficiency.
Praxis continues to position itself as a frontrunner in the use of artificial intelligence in education. Following the successful launch of a ‘bookBot’ that helps students navigate digital textbooks, the publisher has continued to develop a range of innovative AI solutions. One of the latest is an intelligent glossary assistant.
This assistant can independently process large volumes of text and suggest which words should be included in a glossary. Not only that, it can also generate educational explanations of those words. “A key feature of the assistant is that it not only identifies the words but also provides them in specific file formats that our systems can handle. It does not just solve the task; it delivers content directly into our systems, improving overall workflow,” says Rasmus Petersen, Digital Product Manager at Praxis.
The assistant is designed to support a wide range of subject areas and text types, ensuring it can process content across genres and historical periods.
The capabilities of the glossary assistant were truly put to the test in a recent Danish project, where 250 literary and non-fiction texts from antiquity to today were analyzed. The sheer volume and diversity of the texts, combined with the need for explanations of 3,000 words, made the assistant a vital and efficient resource, where a manual review would have taken at least twice as long.
“AI has transformed our workflow by saving us enormous amounts of time and mental effort. Coming up with 3,000-word explanations manually is hard work. Now, the assistant can read the texts, suggest relevant words, and generate definitions on its own. Before, we had to prompt it every time, now we do not,” explains student assistant Kirstine Trock Dahlkild.