SSVM ENTRAR im Vergleich zu CBSE Reading App by Freadom Nutzung und Statistiken

- App highlights: A PERSONALIZED LIBRARY - Every child gets a personal feed of stories - books, videos, audios - based on his/her reading level and interest powered by a sophisticated recommendation engine. READING LOG - Children can keep track of their daily reading with smart logs and time tracking.   ACTIVITIES - 10 minutes activity packs & monthly reading challenges sorted by interests are offered. FACTS AND NEWS - This section offers grade level appropriate bite sized news stories that are inspirational & aspirational along with a flash quiz. GROWTH REPORT - A skill-based report is available for parents and children to keep track of progress. The CBSE Reading app (powered by Freadom) has been built to nurture your child’s will and skill to read. It is an adaptive mobile reading platform that helps parents with children (ages 3 -15) in getting them to learn to read in English by instilling a daily reading habit. The app provides curated stories from top publishers (organised by levels), exciting activities and daily positive news. It uses an AI ready recommendation engine to smartly match users to grade-appropriate content. The app is the perfect English learning companion to thousands of primary schoolers. Backed by Research - Brain research has proven that language acquisition is the fastest and easiest in early years of 3-15 and significantly drops after that. Our app helps parents maximize this opportunity. Built with 10 years of primary and secondary research, the app first locates the users reading level and then navigates them to the desired level, basis a proprietary reading scale. We use an AI ready recommendation engine to match users to the most relevant content. Embedded with an assessment layer, the stories, news and activities on Freadom help us keep tabs on reading levels and help parents track their child’s progress plus find a variety of age-appropriate content at their fingertips. The team is working with Stanford’s Human Centered AI Department as a research partner with focus on language acquisition via app.