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AI Vocabulary List Builder for Any Subject

Ms. Kim teaches 8th-grade science. Her class includes five ELL students at different English proficiency levels, grade-level students, and three students who are reading two years above grade level. She starts every unit by building a vocabulary list, the right words, the right definitions, activities for students to practice. For three different learner groups. That is three vocabulary sets per unit, manually created.

OpenEduCat's AI Vocabulary List Builder gives her a subject-specific word list to fill in, with lines for definitions and context sentences, and with Improve with AI on her own AI key can draft them for each learner group. One input. One run of the form for each group. Ready in under a minute.

This page fills in a draft from a template. Copy prompt gives you the prompt for any AI chat.

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How it works

From subject and topic to a vocabulary list in four steps.

Enter subject, topic, and grade level

Teachers choose the subject and level, enter the number of words, and type the specific topic (cell division, the Civil War, ratios and proportions, electrochemistry). The combination tells the AI which vocabulary register is appropriate, a 6th-grade science vocabulary list uses different sentence complexity than an AP Chemistry list on the same topic.

Select the level

Choose the level, including English language learners; with Improve with AI on, you can ask for simplified definitions, high-frequency words and visual context clues, grade-level definitions and subject-appropriate examples, or precise academic and domain-specific language and technical nuance. Ask in the topic and the AI generates three separate word lists (one for each tier) or a single tiered list showing all three levels for each word.

AI generates word list with definitions, sentences, and an activity

The output includes: the word list (the number of words you enter), a definition for each word appropriate to the selected level, a context sentence drawn from the subject domain (not generic sentences), and a vocabulary activity. A biology list on mitosis at the high school level produces terms like "prophase," "spindle fiber," and "chromatid" with definitions and sentences from cell biology, not definitions like "prophase is a phase that happens in cells."

Copy for flashcards, Frayer models, or Google Classroom

Copy the list into flashcards for student self-study, Frayer model templates, or a Google Classroom post.

What it can do

Subject-authentic vocabulary instruction, built for diverse classrooms.

Tiered vocabulary output for differentiation

Ask in the topic for three tiers, and the AI generates the same unit vocabulary at each. ELL Tier definitions use simpler synonyms and avoid idioms, and if you ask in the topic they include a cognate note when available (English "photosynthesis" is similar to Spanish "fotosintesis", this helps Spanish-speaking ELL students activate prior knowledge). Standard Tier uses grade-level academic language. Advanced Tier uses precise technical terminology and notes distinctions between related terms.

Frayer model template

The Frayer model is a four-quadrant graphic organizer: the word in the center, with Definition, Characteristics, Examples, and Non-Examples in the four quadrants. Ask in the topic and the AI pre-fills the Definition quadrant from the generated list and suggests 2 to 3 Characteristics and Examples. Students complete Non-Examples and can add additional examples from class.

Context sentences from the subject domain

Generic vocabulary builders produce context sentences like "The mitosis is important." This builder generates subject-authentic sentences: "During prophase, the chromatin condenses into visible chromosomes as the nuclear envelope begins to dissolve." The sentences demonstrate the word in the kind of sentence students will actually encounter in their textbook and assessments, which makes the vocabulary more transferable to reading comprehension.

ELL simplification with cognate notes

The ELL tier simplifies definitions and context sentences without reducing the vocabulary demand when you name the terms in the topic, so ELL students still learn the same academic terms as their peers. Where cognates exist between English and the student's home language (Spanish, French, Portuguese, Italian), ask in the topic and the AI notes the cognate to help students activate prior knowledge. Definitions avoid idiomatic expressions. Sentence structures use subject-verb-object order and shorter clauses.

Six activity types

The generator adds one practice activity to every list, and you can ask in the topic for matching (word to definition), fill-in-the-blank (context sentences with the target word removed), Frayer model (four-quadrant graphic organizer), vocabulary grid (rate familiarity with each word on a 1-4 scale before and after instruction), word sort (categorize words by concept or word family), or cloze paragraph (a short passage with multiple vocabulary terms removed). Each activity type develops a different aspect of word knowledge.

Flashcards and Google Classroom

Paste the list into a Google Classroom post.

Where teachers use it

Content-area teachers with ELL students, Science, social studies, and math teachers who have ELL students use the tiered vocabulary builder to create ELL-accessible versions of unit vocabulary without separately sourcing definitions and simplifying sentences for each word. Cognate notes, if you ask for them in the topic, help Spanish-speaking ELL students connect new English academic words to familiar Spanish words.

Reading and English Language Arts, For novel studies, the vocabulary builder generates the key literary and thematic vocabulary for each chapter or section. Context sentences are drawn from the style and themes of the book rather than generic examples. Ask in the topic for Frayer models for literary terms (foreshadowing, motif, unreliable narrator) and the AI pre-populates them with the definition and literary examples.

Advanced Placement and college prep courses, AP Biology, AP US History, and AP Language courses have substantial discipline-specific and academic vocabulary demands. The Advanced tier generates precise technical definitions with the nuance AP-level students need. Context sentences reflect the academic register of AP exam prompts and college course reading.

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For schools

What this page does here

This page builds a draft from a template on this device. Copy prompt gives you the prompt for any AI chat.

Questions teachers ask

What is the difference between Tier 2 and Tier 3 vocabulary?

Tier 2 vocabulary (also called academic vocabulary) consists of high-frequency words that appear across multiple subject areas and are important for academic reading and writing: words like "analyze," "interpret," "sufficient," "contrast," and "significant." These words are less common in everyday conversation but critical for academic success. Tier 3 vocabulary consists of domain-specific technical terms used primarily within one subject: "mitosis," "alliteration," "isosceles," "photosynthesis." The AI generates both tiers for subject vocabulary lists, Tier 2 words appear in the list for any subject, while Tier 3 words are subject-specific.

How many words should a vocabulary list include?

Research on vocabulary instruction suggests that deep learning of 8 to 12 words per unit is more effective than shallow exposure to 20 or 30 words. You choose the number of words on the form. For ELL students, a smaller list of 8 to 10 words with deeper activity work produces better retention than a longer list. For advanced courses like AP or college courses, 15 to 20 domain-specific terms per unit is standard. Teachers can remove words from the list before distributing, or share the full list and ask students to self-select the words they need to study.

How does the vocabulary grid activity work?

The vocabulary grid gives students a 4-point scale for each word: 1 (I have never seen this word), 2 (I have seen it but do not know what it means), 3 (I think I know what it means), 4 (I know this word well and can use it). Students complete the grid before the unit begins, this is the pre-assessment. At the end of the unit, they complete the grid again. The comparison shows both the teacher and the student which words moved from lower to higher familiarity ratings, making vocabulary growth visible. Words that remain at 1 or 2 after instruction need additional reinforcement.

Can I generate vocabulary lists for ELL students at different English proficiency levels?

The English language learners level suits entering and emerging English proficiency levels (students who are relatively new to English instruction. For more proficient ELL students (developing or expanding level), a grade level is often appropriate. Teachers can generate both tiers and review them to decide which is more appropriate for individual students. The goal is for ELL students to learn the same academic content vocabulary as their peers) just with definitions and sentences calibrated to their current English proficiency so the vocabulary instruction does not create an additional language comprehension barrier.

Does the vocabulary builder work for world language classes?

Yes, with some adjustments. For world language classes teaching vocabulary in a language other than English, choose World languages as the subject and type the language (French 2, Spanish AP, Mandarin Intermediate) and the topic (body parts, household objects, travel vocabulary). The AI generates the vocabulary list in the target language with English translations and example sentences in the target language. Context sentences for world language lists use sentence structures appropriate for the course level rather than the grade level.

How does the cloze paragraph activity work?

A cloze paragraph is a short passage (150 to 250 words) on the vocabulary topic with target words removed and replaced by blanks. Students fill in the blanks using the vocabulary list as a word bank. Cloze paragraphs test whether students can use vocabulary in context, not just match words to definitions. They also expose students to the vocabulary appearing together in connected prose, which mirrors how the words appear in textbooks and assessments. Ask in the topic for a cloze paragraph, and the AI generates one that uses 6 to 10 of the unit vocabulary terms in a single coherent passage.

Related tools

AI with your school's own student and course data is part of OpenEduCat.

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