Standard #: ELA.K.V.1.1


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Use grade-level academic vocabulary appropriately in speaking and writing.


Clarifications


Clarification 1: Grade-level academic vocabulary consists of words that are likely to appear across subject areas for the current grade level and beyond, are vital to comprehension, critical for academic discussions and writing, and usually require explicit instruction.

General Information

Subject Area: English Language Arts (B.E.S.T.)
Grade: K
Strand: Vocabulary
Standard: Finding Meaning
Date Adopted or Revised: 08/20
Status: State Board Approved

Related Courses

Course Number1111 Course Title222
5010020: Basic Skills in Reading-K-2 (Specifically in versions: 2014 - 2015, 2015 - 2021, 2021 - 2024, 2024 and beyond (current))
5010030: Functional Basic Skills in Communications-Elementary (Specifically in versions: 2014 - 2015, 2015 - 2022, 2022 - 2024, 2024 and beyond (current))
5010041: Language Arts - Kindergarten (Specifically in versions: 2014 - 2015, 2015 - 2021, 2021 - 2024, 2024 and beyond (current))
7710011: Access Language Arts - Kindergarten (Specifically in versions: 2014 - 2015, 2015 - 2018, 2018 - 2022, 2022 and beyond (current))
5011000: Library Skills/Information Literacy Kindergarten (Specifically in versions: 2016 - 2022, 2022 - 2023, 2023 - 2024, 2024 and beyond (current))
5010022: Functional Reading Skills K-2 (Specifically in versions: 2021 - 2024, 2024 and beyond (current))
5010026: Functional Reading Skills 3-5 (Specifically in versions: 2021 - 2024, 2024 and beyond (current))
5010100: Introduction to Debate Kindergarten (Specifically in versions: 2020 - 2022, 2022 - 2024, 2024 and beyond (current))
5010011: English for Speakers of Other Languages Kindergarten (Specifically in versions: 2021 and beyond (current))


Related Access Points

Access Point Number Access Point Title
ELA.K.V.1.AP.1 Use grade-level academic vocabulary appropriately in communication, using the student’s mode of communication.


Related Resources

Lesson Plans

Name Description
How does Generative AI work?

Students will explore Artificial Intelligence (AI) and the basics on how generative AI models use Large Language Models (LLMs) and Natural Language Processing NLP to generate outputs. This K-3 lesson is an integrated Computer Science, ELA and Math lesson designed for application of math and ELA content knowledge while exploring and using computational thinking to understand how generative AI works, making cross-curricular connections to understand emerging technologies.

Create a Class Flag!

In this lesson plan, students will analyze and discuss the U.S. flag, the FL state flag, and the importance to use what they learn to create a flag that is a representation of the class.

Make Believe Homes and Habitats

In this lesson students will demonstrate an understanding of characteristics of real and make-believe animals, they will sort animals according to characteristics, and they will complete a drawing of a make-believe animal home in a real-world habitat.

Name That Word

In these lessons, students will learn how to identify nouns and verbs using the story Nouns and Verbs Have a Field Day by Robin Pulver and participate in several structured and independent activities.

Be a Star Writer!

Students will begin by discussing the difference between letters, words, and sentences followed by a reading of The Alphabet Tree by Leo Lionni. After partaking in a fun sentence strip activity, students will be asked to practice their star writing skills by writing a sentence about a time that they were happy.

Getting Wise About Size!

In this lesson, students will learn common antonyms and will participate in an antonym matching game. They will also learn to sort objects based on a common pair of antonyms, "big" and "small". They will use their understanding of the words "big" and "small" to describe objects, both orally and in writing.

Let's Get Moving!

Students will move like their favorite animal and identify what the movement is called reviewing verbs. Then they will create a chart about ways that animals move and interact with a read aloud as they search for more movement ideas. Students will end the lesson by completing an opinion sentence about their favorite animal movement and why it is their favorite.

Student Center Activities

Name Description
Vocabulary: Word Fill-In

In this activity, students will choose words to complete sentences.

Vocabulary: Another Word

In this activity, students will exchange antonyms for the underlined word in sentences.

Vocabulary: Semantic Feature Analysis

In this activity, students will identify the features that distinguish one word from another by completing a semantic feature analysis grid.

Vocabulary: Word Connections

In this activity, students will identify connections between words and record their shared attribute/category.

Vocabulary: Semantic Map

In this activity, students will brainstorm words related to a topic and use books and/or reference materials to answer questions about unknown words on a semantic map.

Vocabulary: Four Square Vocabulary Map

In this activity, students will describe a vocabulary word using a four square map.

Vocabulary: Action Word Ring Sort

In this activity, students will sort verbs related to a picture.

Vocabulary: Choose and Chat

In this activity, students will use adjectives to describe and identify objects.

Vocabulary: Synonym Spider

In this activity, students will match synonyms.

Vocabulary: Categor-Ring

In this activity, students will identify and sort words by categories.

Vocabulary: Cube Word Sort

In this activity, students will sort words by categories.

Vocabulary: Same and Different

In this activity, students will compare and contrast words using a Venn diagram.

Vocabulary: Transportation Key Sort

In this activity, students will sort transportation words into categories (air, land, water).

Vocabulary: Word Wizard

In this activity, students will determine the meaning of words of interest in text.

Vocabulary: Word-O-Nary

In this activity, students will write simple definitions, sentences, and synonyms of targeted words found in content-area text.

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