Student Feedback on AI Teacher Design from Montessori School, 2026

Twelve adolescent Montessori students in Hyderabad, India, participated in a micro-research project in April 2026. The dataset contains their responses to a 31-item questionnaire and transcripts of 18 chat sessions with an AI, documenting their vision for an ideal AI teacher. The project was supervised by researchers from the Blue Blocks Micro Research Institute.

Use Cases

• Analyzing student preferences for AI teacher personality and communication style based on structured survey responses.
• Studying the co-design process of educational agents based on open-ended student-AI chat transcripts.
• Identifying pedagogical archetypes and emotional needs of adolescent learners based on researcher-derived summaries.
• Exploring cultural and age-specific expectations for AI in education from a specific Montessori school context.

Strengths

• Includes data from 12 student participants, providing multiple perspectives.
• Combines structured survey data (31 questions) with qualitative chat transcripts (18 sessions).
• Contains detailed metadata including session timestamps, durations, and participant demographics.
• Transparently documents data provenance, including inferred responses for one participant.

Limitations

• Row count and file sizes are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data reflects a specific, small-scale context (one Montessori school in India), limiting generalizability.

Provenance

Source

Blue Blocks Micro Research Institute, Blue Blocks Montessori School, Tellapur, Hyderabad, India.

Collection Method

Participatory micro-research project involving a structured questionnaire and live interactions with Claude AI.

Time Range

April 2026 (specifically 1-2 April 2026 for chat sessions).

Freshness

Last updated 2026-05-21 09:41:49; freshness should be verified.

Geography

Tellapur, Hyderabad, India.