Analyzes student data and conversation transcripts to generate evidence-based pedagogical reports and intervention recommendations.
The Evaluate Student skill empowers educators on the AltiStar platform by transforming raw interaction data into actionable insights. It leverages MCP tools to aggregate course progress, quiz scores, and detailed conversation transcripts, applying pedagogical frameworks like Bloom’s Taxonomy and the Zone of Proximal Development (ZPD). Whether generating deep-dive individual reports for parent meetings or high-level class performance overviews, this skill identifies mastery patterns, engagement levels, and early warning signs to help teachers provide targeted support and effective interventions.
주요 기능
01Automated generation of individual student, course-wide, and intervention-focused reports.
02Identification of technical issues or content misconceptions through student feedback analysis.
03Mastery tracking based on the 80% threshold and ZPD zone classification.
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05Actionable intervention alerts for students needing urgent pedagogical support.
06Deep transcript analysis to measure engagement quality, word counts, and questioning patterns.
사용 사례
01Identifying curriculum bottlenecks by analyzing class-wide quiz failure patterns.
02Detecting disengaged students early via weekly intervention scans across all active enrollments.
03Preparing for 1:1 student check-ins or IEP reviews with detailed performance data.
