education-expert

What this skill does

# Education Expert

Expert guidance for education technology, learning management systems, online learning platforms, and educational software development.

## Core Concepts

### Educational Technology
- Learning Management Systems (LMS)
- Student Information Systems (SIS)
- Assessment and evaluation tools
- Adaptive learning platforms
- Virtual classrooms
- Content management

### Standards
- SCORM (Sharable Content Object Reference Model)
- xAPI (Experience API / Tin Can API)
- LTI (Learning Tools Interoperability)
- QTI (Question and Test Interoperability)
- Accessibility (WCAG, Section 508)

### Key Features
- Course management
- Grade tracking
- Student analytics
- Content delivery
- Collaborative tools
- Assessment engines

## LMS Core Implementation

```python
from dataclasses import dataclass
from typing import List, Optional
from datetime import datetime
from enum import Enum

class EnrollmentStatus(Enum):
    ACTIVE = "active"
    COMPLETED = "completed"
    DROPPED = "dropped"
    PENDING = "pending"

@dataclass
class Course:
    course_id: str
    title: str
    description: str
    instructor_id: str
    start_date: datetime
    end_date: datetime
    credits: int
    capacity: int
    syllabus_url: str
    prerequisites: List[str]

@dataclass
class Student:
    student_id: str
    first_name: str
    last_name: str
    email: str
    enrolled_date: datetime
    grade_level: str
    gpa: float

@dataclass
class Enrollment:
    enrollment_id: str
    student_id: str
    course_id: str
    enrollment_date: datetime
    status: EnrollmentStatus
    final_grade: Optional[float]

class LMSPlatform:
    """Learning Management System core functionality"""

    def __init__(self, db):
        self.db = db

    def enroll_student(self, student_id, course_id):
        """Enroll student in course"""
        course = self.db.get_course(course_id)
        current_enrollment = self.db.count_enrollments(course_id)

        # Check capacity
        if current_enrollment >= course.capacity:
            raise Exception("Course is full")

        # Check prerequisites
        if course.prerequisites:
            completed = self.get_completed_courses(student_id)
            if not all(prereq in completed for prereq in course.prerequisites):
                raise Exception("Prerequisites not met")

        enrollment = Enrollment(
            enrollment_id=generate_id(),
            student_id=student_id,
            course_id=course_id,
            enrollment_date=datetime.now(),
            status=EnrollmentStatus.ACTIVE,
            final_grade=None
        )

        return self.db.save_enrollment(enrollment)

    def get_student_transcript(self, student_id):
        """Generate student transcript"""
        enrollments = self.db.get_student_enrollments(student_id)
        transcript = []

        for enrollment in enrollments:
            if enrollment.status == EnrollmentStatus.COMPLETED:
                course = self.db.get_course(enrollment.course_id)
                transcript.append({
                    'course_code': course.course_id,
                    'course_name': course.title,
                    'credits': course.credits,
                    'grade': enrollment.final_grade,
                    'term': self.get_term(enrollment.enrollment_date)
                })

        return transcript

    def calculate_gpa(self, student_id):
        """Calculate student GPA"""
        transcript = self.get_student_transcript(student_id)
        total_points = 0
        total_credits = 0

        for record in transcript:
            if record['grade'] is not None:
                total_points += record['grade'] * record['credits']
                total_credits += record['credits']

        return total_points / total_credits if total_credits > 0 else 0.0
```

## Assessment Engine

```python
from abc import ABC, abstractmethod

class Question(ABC):
    """Base question class"""

    def __init__(self, question_id, text, points):
        self.question_id = question_id
        self.text = text
        self.points = points

    @abstractmethod
    def check_answer(self, student_answer):
        pass

class MultipleChoiceQuestion(Question):
    """Multiple choice question"""

    def __init__(self, question_id, text, points, choices, correct_answer):
        super().__init__(question_id, text, points)
        self.choices = choices
        self.correct_answer = correct_answer

    def check_answer(self, student_answer):
        return student_answer == self.correct_answer

class Essay Question(Question):
    """Essay question requiring manual grading"""

    def __init__(self, question_id, text, points, rubric):
        super().__init__(question_id, text, points)
        self.rubric = rubric

    def check_answer(self, student_answer):
        # Requires manual grading
        return None

class AssessmentEngine:
    """Assessment and grading system"""

    def grade_assessment(self, assessment, student_answers):
        """Grade student assessment"""
        total_points = 0
        earned_points = 0
        results = []

        for question in assessment.questions:
            total_points += question.points
            student_answer = student_answers.get(question.question_id)

            if isinstance(question, MultipleChoiceQuestion):
                is_correct = question.check_answer(student_answer)
                points_earned = question.points if is_correct else 0
                earned_points += points_earned

                results.append({
                    'question_id': question.question_id,
                    'correct': is_correct,
                    'points': points_earned,
                    'feedback': 'Correct!' if is_correct else f'Incorrect. Correct answer: {question.correct_answer}'
                })
            else:
                # Essay questions need manual grading
                results.append({
                    'question_id': question.question_id,
                    'status': 'pending_review',
                    'answer': student_answer
                })

        score_percentage = (earned_points / total_points) * 100 if total_points > 0 else 0

        return {
            'total_points': total_points,
            'earned_points': earned_points,
            'percentage': score_percentage,
            'results': results
        }

    def analyze_assessment_statistics(self, assessment_id, all_submissions):
        """Analyze assessment performance"""
        scores = [s['percentage'] for s in all_submissions]

        return {
            'mean': sum(scores) / len(scores),
            'median': sorted(scores)[len(scores) // 2],
            'min': min(scores),
            'max': max(scores),
            'std_dev': self.calculate_std_dev(scores)
        }
```

## Learning Analytics

```python
class LearningAnalytics:
    """Student learning analytics"""

    def get_student_engagement(self, student_id, course_id):
        """Calculate student engagement metrics"""
        activities = self.db.get_student_activities(student_id, course_id)

        metrics = {
            'login_frequency': self.calculate_login_frequency(activities),
            'content_completion_rate': self.calculate_completion_rate(activities),
            'assessment_participation': self.calculate_participation(activities),
            'forum_posts': len([a for a in activities if a['type'] == 'forum_post']),
            'time_on_platform': sum(a['duration'] for a in activities)
        }

        return metrics

    def predict_student_risk(self, student_id, course_id):
        """Predict at-risk students"""
        engagement = self.get_student_engagement(student_id, course_id)
        grades = self.get_recent_grades(student_id, course_id)

        risk_score = 0

        # Low engagement indicators
        if engagement['login_frequency'] < 2:  # Less than 2x per week
            risk_score += 25
        if engagement['content_completion_