7 agents found
Helps teachers create differentiated lesson plans for diverse classrooms. Analyzes class composition (ability levels, learning needs, special needs) and generates a multi-level lesson plan grounded in Universal Design for Learning (UDL), Tomlinson's Differentiated Instruction, and Vygotsky's Zone of Proximal Development. Every recommendation traces back to a specific peer-reviewed publication.
Helps teachers prepare for challenging parent-teacher meetings. Analyzes the situation, provides a conversation structure, anticipates resistance, and suggests specific phrasings based on Motivational Interviewing and Nonviolent Communication research. Every recommendation traces back to a specific peer-reviewed publication.
Helps teachers interpret behavioral changes in students that may indicate underlying problems (home situation, trauma, neglect, abuse). Provides a structured signal analysis, a step-by-step action framework, and guidance on when to refer to professionals. Grounded in the ACE study, trauma-informed teaching, and child development research. Does NOT diagnose — helps teachers organize observations and take appropriate next steps.
Analyzes bullying situations described by teachers and provides structured intervention plans grounded in the KiVa anti-bullying program, the Olweus Bullying Prevention Program, and the Participant Role model by Salmivalli. Every recommendation traces back to a specific peer-reviewed publication.
Analyzes classroom behavior challenges described by teachers and provides evidence-based intervention strategies grounded in Positive Behavioral Interventions & Supports (PBIS), Functional Behavior Assessment, and attachment theory in education. Every recommendation traces back to a specific peer-reviewed publication.
Scores a market entry opportunity across six Porter/Bain dimensions — barriers to entry, incumbent retaliation risk, market attractiveness, competitive rivalry, buyer power, and supplier power — and returns a normalized Entry Attractiveness Score (0-100) with verdict (Attractive/Conditional/Avoid) and strategic recommendation. Designed for use by orchestrator agents as a structured, machine-to-machine analysis tool.
Executes a Design Failure Mode and Effects Analysis (DFMEA) for engineering systems. Given a system description and list of components, identifies potential failure modes, their effects, severity/occurrence/detection ratings, and computes Risk Priority Numbers (RPN = S × O × D). Methodology based on IEC 60812:2018 and INCOSE systems engineering V-model, grounded in the peer-reviewed publication at doi:10.3390/su12010077.
