Sentence Lab

Three random words. Students build one sentence that uses all of them — then defend it to the class.

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Classroom Layout

Whole Class

Teacher / Screen
  • 1Project the three words and their POS tags on screen so all students work from the same stimulus simultaneously.
  • 2Give students 90 seconds to elaborate/write their sentence individually before sharing — prevents social copying and ensures every student attempts the task.
  • 3Use cold-calling or a random selector to nominate who shares first — the class evaluates grammatical correctness together, not the teacher alone.
  • 4Post the best sentence from each round on a running class 'Wall of Sentences' — visible recognition motivates careful construction.
  • 5Use Goofball mode for added fun.
What It Is

The Teaching Logic Behind Sentence Lab

Sentence Lab generates 3 to 4 words at the selected CEFR level, each tagged with its part of speech and accompanied by an example sentence. Students must construct one grammatically correct sentence that uses all the provided words. The words are selected to be combinable — at least one correct sentence is guaranteed possible.

The POS tagging is central to the pedagogy. Students see not just 'investigate' but 'investigate (verb)', not just 'suspicious' but 'suspicious (adjective)'. This labels the syntactic role each word must play, scaffolding sentence construction without doing it for students.

Goofball mode is available for moments when the class needs energy: the AI generates semantically incongruous word combinations that produce funny, unexpected sentences while maintaining grammatical correctness. The resulting sentences are memorable precisely because they are absurd — and memorable sentences stay in the lexicon longer.

Theory

Why It Works

Lexical Approach

Words are learned in syntactic environments

Lewis (1993) argues that vocabulary acquisition is inseparable from grammar: words are stored in mental lexicons alongside their syntactic environments, collocations, and typical sentence positions. Sentence Lab requires students to deploy words in a grammatical frame, encoding both lexical meaning and syntactic behaviour simultaneously.

Output Hypothesis

Sentence construction forces syntactic decision-making

Swain (1985) predicts that output tasks — especially those requiring the learner to make syntactic choices — promote grammatical processing. When students must decide whether 'suspicious' modifies the subject or the object, they are doing the kind of syntactic reasoning that listening and reading tasks alone cannot produce.

Memory Research

Generation effect enhances retention

Slamecka & Graf (1978) demonstrated that words generated by the learner are remembered better than words provided by the experimenter. Sentence Lab's generation task produces exactly this effect: students who build their own sentence with a new word retain it more durably than students who read an example sentence.

How to Use

Step-by-Step in Class

1

Select level and optional parameters

Choose a CEFR level. Optionally add a topic (e.g. 'environment', 'technology') to keep words thematically relevant to your lesson. Toggle goofball mode for a lighter, higher-energy round.

2

Generate and read words aloud

Click generate. Read each word, its POS tag, and its example sentence aloud. Give students 60–90 seconds to say their sentence individually.

3

Share and evaluate

Nominate 3–4 students to read their sentences aloud. After each one, ask the class: 'Are all three words used correctly? Is the sentence grammatically complete? Does the example sentence make sense?' Class-led evaluation distributes the teaching work.

4

Award and analyse

Optionally award points for the most original, most complex, or funniest sentence. Then analyse the winning sentence structurally: identify the subject, verb, object, and how each of the three words fits the structure. This morphological analysis consolidates the word's syntactic behaviour.

Prompt Lab

How to Set It Up for Different Levels

A2Noun + Verb + Adjective sentence constructionSimple SVO Construction — A2

Generates a noun, a common verb, and a basic adjective from everyday vocabulary. Students build a simple SVO sentence. Words are concrete and familiar — market, describe, colourful.

Level: A2 Topic: Daily Life Goofball Mode: Off POS: Noun + Verb + Adjective

A2 learners can understand these words receptively but struggle to produce them in combination under time pressure. The three-word constraint prevents overlong attempts and forces decisions about article use, verb form, and adjective placement.

B1Abstract nouns and adverbs in complex sentencesConnector Challenge — B1

Generates a noun, an adverb, and a verb that invite complex sentence structures. Words like 'despite', 'gradually', 'achievement' push students toward subordinate clauses.

Level: B1 Topic: Work & Study Goofball Mode: Off POS: Noun + Verb + Adverb

B1 students default to simple sentences when constructing under time pressure. Adverbs like 'gradually' or 'reluctantly' almost require a complex structure to use naturally — the word itself pushes students toward the complexity the level demands.

B1Creative grammar in incongruous contextsGoofball Mode — Any Level

Generates semantically mismatched words that produce funny sentences when combined correctly. Grammar remains strictly level-appropriate even when the content is absurd.

Level: B1 Topic: (none) Goofball Mode: On

The generation effect predicts that distinctive, memorable sentences are retained better. Goofball mode produces the most distinctive sentences possible — students remember 'The penguin reluctantly investigated the suspicious sandwich' for weeks.

Activity Ideas

Ways to Extend the Game

A2–C1

Class Sentence Vote

After sharing all sentences, the class votes for their favourite — most grammatically sophisticated, most creative, or most amusing depending on the round's goal. The winning student reads it once more and explains their word-order decisions.

B1–C1

Add-a-Word Relay

Start with the three generated words in a sentence. Each student adds exactly one word to the sentence, passing it around the circle. The sentence grows into a complex, multi-clause structure. Read the final sentence aloud and analyse how it evolved.

A2–B2

Translation Workshop

After constructing their English sentences, students translate them into their L1. Then they swap translations with a partner, who translates back to English. Compare the back-translation to the original — mismatches reveal where words have different syntactic behaviour across languages.

B1–C1

Grammar Upgrade

Take a valid but simple sentence and challenge students to upgrade it using one grammar structure from their current unit — relative clause, conditional, passive voice. Compare the original and upgraded versions side by side.

Open Sentence Lab