Product Description
Grammar for the Well-Trained Mind is an innovative, effective grammar program that combines repetition with fresh exercises with the goal of grammar mastery. Students can start with any of the four Workbooks and Keys (Blue, Purple, Red, or Yellow) because they contain the same examples and combine with the Core Instructor Text for repeated instruction. Each Workbook includes brand-new exercises to help students master even the most complex grammar principles; its corresponding Key provides detailed answers and explanations to those exercises.
Get as far as you can with your student(s) in one year with one Workbook, and start again the following year with any other Workbook and Key (now available in bundled together for repeat buyers!).
Included in this Bundle:
The Core Instructor Text (Paperback) provides scripted dialogue for the instructor, along with notes to explain difficult concepts–four lessons per week, thirty-six weeks and regular review assignments. (No expertise required!)
The Yellow Student Workbook contains explanations, rules, illustrations, and exercises for each lesson, with sentences and examples drawn from real published books–classic literature, science, history, and more.
The Key to Yellow Workbook provides all answers to exercises, with explanations as needed.
The Grammar Guidebook assembles into one handy reference work every rule and principle taught in the course. Each rule is illustrated with examples from classic and contemporary works of literature, science, history, and mathematics. This guidebook will become the student’s indispensable guide through high school, into college and beyond.
The Diagramming Dictionary organizes every diagramming skill covered in Grammar for the Well-Trained Mind into categories for easy reference–from basic subject/predicate layout through advanced sentence structure and analysis. Beautifully designed diagrams and color-coded examples walk students through how to place each and every part of the English sentence on the traditional diagramming framework.
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