This bundle for A Midsummer Night's Dream Body Biography Project is filled with all you need to teach and promote the unique, comical, and fun characters from the timeless Shakespeare play. Your students will experience the unique approach of using a collaborative poster, William Shakespeare's play, textual evidence, research, and the body biography project!
The project bundle includes 8 characters from A Midsummer Night's Dream. Give your students a relevant and modern experience while promoting the 4 C's, Shakespeare, and achievement. Leave the body biographies up all year long! I adapted the body biography concept to align with citing textual evidence, character traits, research, and inference skills.
Includes 8 choices:
★ each poster is a character from the novel. Featuring fun but mature images- appealing to all grades. The artwork comes in black and white for your students to add color and design.
★ Poster is 32 inches high by 10 inches wide. It requires 4 pages each.
★ Reflection Questions
★ Bonus - characterization pre-planning sheets for each character!
★ Student handout that explains each part of the body biography project (there are 12 parts).
★ Teacher set up directions, learning objective / learning outcomes, background, tips, and CCSS
Here is your list:
What’s the Student Objective?
•Review what is supportive evidence.
•Define the literary term “character trait” and explore how to provide details that support their inferences (apply this skill similar to exploring a fictional text).
•Use the novel, class notes, and web resources to research the character (subject), then cite evidence to find accurate and descriptive word choice.
•Fill out Body Biography graphic organizer/poster.
Group work should promote:
•Intellectual understanding, abilities and skills.
•Communication, cooperative and teamwork skills such as planning. management, leadership and peer support.
•Personal growth (increased self-esteem and self-confidence).
**Check out the Preview**
Directions are clear and explicit.
Danielle Knight Copyright 2019