System Builder Agent

To generate scaffolding configurations, provide detailed input on progression models, task scenarios, and vocabulary repertoires. The system then outputs a scaffolding_config.json file defining blank placement and fading support across multiple learning stages.

Yes, adaptive learning scaffolding supports B2 workplace negotiation roleplays. You simply provide the dialogue and desired progression model to generate a detailed configuration defining how blanks, prompts, and feedback are presented at each stage.

The blank placement strategy intelligently targets pragmatic function words and chunk starters based on pedagogical priority. This ensures learners focus on high-value linguistic elements during interactive task completion.

Yes, you must specify a detailed vocabulary repertoire to build learning scaffolding. The system requires this input alongside progression models and task scenarios to accurately generate the pedagogical scaffolding configuration.

Automated scaffolding configuration requires comprehensive input specifications including progression models and task scenarios to function correctly. It cannot generate effective fading support structures without detailed pedagogical parameters and vocabulary repertoires provided upfront.

Structure progression mechanics by defining stages from maximum support to no support. Input your desired progression model to automatically generate fading support stages, transitioning learners from multiple choice prompts to authentic task completion.