Vigdís Finnbogadóttir, UNESCO Goodwill Ambassador for the Languages of the World and former President of Iceland, officially opened the web-based Japanese language learning software developed by Cooori last week at the opening ceremony in Reykjavík, Iceland.
Cooori’s new online language learning software allows students to learn a new language in a much faster and more efficient way than traditional methods and other software solutions. These new methods are enabling students to add up to 400 news words to their vocabulary in less than a week.
The online service, which has already been used on Japanese courses at the University of Iceland with great results, combines the most recent discoveries in brain science with top-notch artificial intelligence software to help students build their vocabularies much faster and retain their knowledge longer. Students report adding up to 400 new words to their vocabularies by using the system in 15 minute sessions, a few times a day, for less than a week. Putting this into context; the vocabulary needed for basic proficiency in English is considered to be around 800 words.
These results are possible because the software takes advantage of some basic truths about the way our brain functions. Cooori’s artificial intelligence engines help students move new pieces of knowledge from short-term memory and into long-term memory much faster and more efficiently than traditional methods. This is done by reminding the user of the words he or she has learned at intervals that are specifically tailored to each student. This maximises the effectiveness of each minute spent using the program. Furthermore, the students are provided with example sentences that are also specifically tailored to the user. This makes the Cooori online language learning system unique; no other software offers these benefits.
During the first stage in its development, Cooori is focused on helping English-speaking students master the Japanese language; however, the proprietary technology that drives the learning system can be used for any pair of languages.