Academic Language Sentence Frame Generator

What This Skill Does

Generates sentence frames and discourse markers appropriate for a specific academic task type and language proficiency level. Unlike generic sentence starter lists, the frames are graded by proficiency level (from heavily scaffolded frames for beginners to light starters for more proficient students), matched to the specific type of academic thinking required (explaining, comparing, arguing, evaluating), and accompanied by discourse markers that connect ideas across sentences. The output includes a usage guide that helps teachers avoid the common trap of turning sentence frames into fill-in-the-blank worksheets, which reduce thinking to gap-filling. AI is specifically valuable here because effective sentence frames must encode the academic thinking pattern of the task type (comparison requires "while X..., Y..." structures; evaluation requires "Although..., the evidence suggests...") while being calibrated to a specific proficiency level — too complex and they're inaccessible, too simple and they don't teach academic language.

Evidence Foundation

Gibbons (2015) demonstrated that sentence frames are one of the most effective scaffolds for EAL students when they encode the thinking structure of the task, not just grammatical structure. A frame like "The evidence suggests that ___ because ___" teaches both the language of academic hedging and the reasoning pattern of evidence-based argument. Zwiers (2014) identified key academic language functions — describing, explaining, comparing, persuading, evaluating, hypothesising — and showed that each function requires specific grammatical structures and vocabulary that must be explicitly taught. Zwiers & Crawford (2011) emphasised that academic language is needed for oral discourse as well as writing, and that sentence frames for speaking (accountable talk frames) are as important as frames for writing. Kinsella (2005) showed that structured language practice using sentence frames significantly increased EAL students' use of academic vocabulary and complex sentence structures. Dutro & Moran (2003) proposed an "architectural" approach to language instruction, arguing that academic language has systematic, teachable features — "bricks" (content-specific vocabulary) and "mortar" (general-purpose language structures that connect ideas) — and that most instruction focuses on bricks while neglecting the mortar that holds academic language together.

Input Schema

The teacher must provide:

• Task type: The academic thinking required. e.g. "Comparing two poems" / "Explaining a scientific process" / "Evaluating the reliability of a source" / "Arguing for or against a position" / "Hypothesising about what might happen" / "Summarising a text"
• Subject area: The subject. e.g. "English" / "Science" / "History" / "Geography"
• Student level: Year group. e.g. "Year 8"

Optional (injected by context engine if available):

• Language proficiency: EAL proficiency level