Education
Academic Support Module
Administrative Tasks Module
Communication Module
Curriculum Development Module
Enrollment & Registration Module
Learning Module
Resource Management Module
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Education
Tutoring Assistant
You are a specialized academic coach focused on personalized student learning support.
Purpose
You are a specialized academic coach focused on personalized student learning support.
AI-Powered Intelligence — Advanced AI capabilities for automated processing and analysis
Enterprise Ready — Built for production with security, scalability, and reliability
Seamless Integration — Easy to integrate with your existing systems and workflows
Agent Capabilities
This agent is equipped with the following advanced capabilities:
Knowledge Base
Vector search & retrieval
Knowledge (NoneType)
Available Tools
Analyze Student Performance
Analyze student performance across subjects and identify areas needing support.
Args:
student_data: JSON string with student grades, subjects, and assignment completion rates
Example: {"student_id": "12345", "grades": [{"subject": "Math", "score": 75, "assignments_completed": 8, "assignments_total": 10}]}
Returns:
Performance analysis report with recommendations
Analyze Student Performance
Analyze student performance across subjects and identify areas needing support. Args: student_data: JSON string with student grades, subjects, and assignment completion rates Example: {"student_id": "12345", "grades": [{"subject": "Math", "score": 75, "assignments_completed": 8, "assignments_total": 10}]} Returns: Performance analysis report with recommendations
def analyze_student_performance(student_data: str) -> str: """ Analyze student performance across subjects and identify areas needing support. Args: student_data: JSON string with student grades, subjects, and assignment completion rates Example: {"student_id": "12345", "grades": [{"subject": "Math", "score": 75, "assignments_completed": 8, "assignments_total": 10}]} Returns: Performance analysis report with recommendations """ try: if isinstance(student_data, str): try: data = json.loads(student_data) except json.JSONDecodeError: return "Error: Invalid JSON format for student data" else: data = student_data student_id = data.get('student_id', 'Unknown') grades = data.get('grades', []) report = f"=== STUDENT PERFORMANCE ANALYSIS ===\n\n" report += f"Student ID: {student_id}\n\n" report += f"{'Subject':<20} {'Score':>8} {'Completion':>12} {'Status':>10}\n" report += "-" * 60 + "\n" total_score = 0 struggling_subjects = [] excellent_subjects = [] for grade in grades: subject = grade.get('subject', 'Unknown') score = grade.get('score', 0) completed = grade.get('assignments_completed', 0) total = grade.get('assignments_total', 1) completion_rate = (completed / total) * 100 if total > 0 else 0 total_score += score if score < 70: status = "⚠️ Risk" struggling_subjects.append(subject) elif score >= 90: status = "✓ Excellent" excellent_subjects.append(subject) else: status = "○ Adequate" report += f"{subject:<20} {score:>8}% {completion_rate:>11.0f}% {status:>10}\n" avg_score = total_score / len(grades) if grades else 0 report += "\n=== SUMMARY ===\n" report += f"Overall Average: {avg_score:.1f}%\n\n" if struggling_subjects: report += "⚠️ INTERVENTION NEEDED:\n" report += f"Subjects requiring support: {', '.join(struggling_subjects)}\n" report += "Recommendations:\n" report += " - Schedule tutoring sessions\n" report += " - Review learning style preferences\n" report += " - Consider peer study groups\n" report += " - Monitor assignment completion patterns\n\n" if excellent_subjects: report += f"✓ Strong Performance: {', '.join(excellent_subjects)}\n" report += " - Consider advanced enrichment activities\n\n" if avg_score < 70: report += "\n⚠️ ALERT: Student requires immediate academic intervention\n" return report except Exception as e: return f"Error analyzing student performance: {str(e)}"
Create Tutoring Plan
Create a personalized tutoring plan for a student.
Args:
subject: The subject area (e.g., "Algebra", "English Literature")
current_level: Current performance level (e.g., "65%", "D grade")
target_level: Target performance level (e.g., "80%", "B grade")
timeline_weeks: Number of weeks for the tutoring plan (default: 8)
Returns:
Detailed tutoring plan with weekly milestones
Create Tutoring Plan
Create a personalized tutoring plan for a student. Args: subject: The subject area (e.g., "Algebra", "English Literature") current_level: Current performance level (e.g., "65%", "D grade") target_level: Target performance level (e.g., "80%", "B grade") timeline_weeks: Number of weeks for the tutoring plan (default: 8) Returns: Detailed tutoring plan with weekly milestones
def create_tutoring_plan(subject: str, current_level: str, target_level: str, timeline_weeks: int = 8) -> str: """ Create a personalized tutoring plan for a student. Args: subject: The subject area(e.g., "Algebra", "English Literature") current_level: Current performance level(e.g., "65%", "D grade") target_level: Target performance level(e.g., "80%", "B grade") timeline_weeks: Number of weeks for the tutoring plan(default: 8) Returns: Detailed tutoring plan with weekly milestones """ try: report = f"=== PERSONALIZED TUTORING PLAN ===\n\n" report += f"Subject: {subject}\n" report += f"Current Level: {current_level}\n" report += f"Target Level: {target_level}\n" report += f"Timeline: {timeline_weeks} weeks\n\n" report += "=== WEEKLY BREAKDOWN ===\n\n" weeks_per_phase = max(1, timeline_weeks // 3) "color: #6b7280;"># Phase 1: Foundation report += f"Weeks 1-{weeks_per_phase}: Foundation Building\n" report += " - Review fundamental concepts\n" report += " - Identify knowledge gaps\n" report += " - Build confidence with achievable exercises\n" report += " - Establish study routines\n\n" "color: #6b7280;"># Phase 2: Skill Development report += f"Weeks {weeks_per_phase + 1}-{weeks_per_phase * 2}: Skill Development\n" report += " - Practice problem-solving techniques\n" report += " - Apply concepts to real-world scenarios\n" report += " - Increase complexity gradually\n" report += " - Regular progress assessments\n\n" "color: #6b7280;"># Phase 3: Mastery report += f"Weeks {weeks_per_phase * 2 + 1}-{timeline_weeks}: Mastery & Assessment\n" report += " - Advanced practice problems\n" report += " - Test-taking strategies\n" report += " - Review and reinforce weak areas\n" report += " - Final assessment preparation\n\n" report += "=== SESSION RECOMMENDATIONS ===\n" report += "Frequency: 2-3 sessions per week\n" report += "Duration: 45-60 minutes per session\n" report += "Format: Mix of individual and small-group sessions\n\n" report += "=== PROGRESS CHECKPOINTS ===\n" for week in [2, 4, 6, 8]: if week <= timeline_weeks: report += f"Week {week}: Mini-assessment and plan adjustment\n" return report except Exception as e: return f"Error creating tutoring plan: {str(e)}"
Reasoning Tools
ReasoningTools from agno framework
Reasoning Tools
ReasoningTools from agno framework
Required Inputs
Generated Outputs
Business Value
• Automated processing reduces manual effort and improves accuracy
• Consistent validation logic ensures compliance and audit readiness
• Early detection of issues minimizes downstream risks and costs
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