Events

DANIEL STOWE BOTANICAL GARDEN Home School Days The Garden is proud to offer these new programs designed especially for the self-paced needs of homeschooled students. Home School Days are staggered throughout the year, with a changing theme each time— choose one day or as many as you like to enhance your science studies. Your young scholars will be hooked on science! Each program day will include a variety of learning stations with hands-on, guided discovery experiences that accommodate a variety of learning styles and levels so that each student’s experience can be tailored to their skills, interests and needs. Home School Days are offered on a come-and-go basis from 10 a.m. – 3 p.m. to permit more time for in-depth learning and exploration. Come for a few hours if you wish, or bring a picnic lunch and make a day of it! Fees are based per child; each registered child will receive a program passport on the day of the program that will enable them to participate in the activity stations. Cost for each Day: $8 per child participant, $6 per parent or Chaperone (Non-participating children/siblings will be admitted at the Education self-guided rate of $3 each, with children 4 and under admitted free) Friday, April 24, 10 a.m. – 3 p.m. In this exploration of trees native to the Carolinas, students will learn about classification using tree leaves as a guide. Students will conduct a Michaux Native Tree and Plant Search to discover plants that are native to the Carolinas—many of which were first discovered and described by plant explorer André Michaux. Along the way students will also learn a few invasive plants and discover how they disrupt the delicate balance of the native ecosystem. Math connections will offer opportunities to estimate tree height using two different methods. Students will ‘recycle’ trees to create their own paper and plant a native plant to take home with them. Key Concepts: Botanical characteristics, classification, economics, ecology, invasive plant species, ecosystem balance/disruption, native plant adaptations, mathematical estimation