With schools closed but attendance and homework still expected, it's been a tough couple of months adjusting to a homeschool and virtual classroom environment. Luckily, the library offers free access to plenty of online resources for school subjects and homework help! Sign in with your library card and PIN and use the Online Library 24/7 collection and resources. Don't have a library card yet? Sign up for an ecard!
One excellent resource for education is The Great Courses - a collection of multi-lecture streaming video courses available on Kanopy. These recorded lessons are a great help to students and parents of students. Be taught an entire class, use a particular lecture or two as a review to help with homework, or brush up on subject basics and writing skills.
School Skills On Demand
Stream these and other video courses for extra study materials and to learn and practice student skills! The Great Courses provide recorded online classes for many school subjects and study skills at various student levels. These course subjects include writing and literature, history, math, language, and more.
Here's some of the best back-to-basics for students:
Building a Better Vocabulary: 36 lectures, taught by Kevin Flanigan. Boost your vocabulary and learn mental tricks and skills for picking up new words quickly and easily. Provided in streaming video format on Kanopy and digital audiobook format on RBdigital.
English Grammar Bootcamp: 24 lectures, taught by Anne Curzan. Learn the essential elements of English grammar and usage.
Writing Great Essays: 24 lectures, taught by Jennifer Cognard-Black. Tips, tricks, and key cognitive skills for great essay writing.
Algebra I: 36 lectures, taught by James A. Sellers. Learn and review first year Algebra basic concepts, including variables, order of operations, and more.
Geometry: 36 lectures, taught by James Tanton. Develop an understanding of geometry with this fun and intuitive approach to lessons.
Learning Statistics: 24 lectures, taught by Talitha Williams. Discover the secret to statistics with the R programming language.