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Adaptive learning path suggestions based on student performance analytics

Purpose

 1.1 To dynamically recommend personalized learning materials and pathways for agricultural high school students, adjusting content and format based on real-time performance analytics.
 1.2 Tailors curriculum resources, assessments, and skill development activities to individual student needs, maximizing educational outcomes in an agriculture-focused secondary environment.
 1.3 Enables staff and educators to intervene early for struggling students and streamline high-achievers to advanced topics.

Trigger Conditions

 2.1 New assessment completion logged in learning management system (LMS).
 2.2 Drop in assignment completion rates or sudden score declines detected.
 2.3 Noted topic mastery or knowledge gaps flagged in student progress analytics.
 2.4 Custom interventions requested by teachers or student advisors.

Platform Variants

 3.1 Moodle (Core API: /webservice/rest/server.php)
  • Feature/Setting: Fetch and analyze student grades and activity reports, auto-enroll students in remedial or enrichment content based on thresholds.
 3.2 Google Classroom (API: Courses.students.list, Courses.courseWork.studentSubmissions.list)
  • Feature/Setting: Monitor assignment submissions; programmatically assign differentiated activities via API.
 3.3 Microsoft Teams for Education (Graph API: /education/classes/{id}/assignments)
  • Feature/Setting: Track assignment scores; trigger adaptive learning suggestions as new assignments are graded.
 3.4 Canvas LMS (API: /api/v1/courses/{course_id}/analytics)
  • Feature/Setting: Analyze analytics for individual students and update learning paths through module prerequisites.
 3.5 Schoology (API: /v1/grades/{section_id})
  • Feature/Setting: Monitor grades and prompt scheduled content adjustments for specific student segments.
 3.6 Blackboard Learn (REST API: /learn/api/public/v3/courses)
  • Feature/Setting: Retrieve student progress data and alter course item visibility or assignments dynamically.
 3.7 PowerSchool SIS (API: /ws/schema/query)
  • Feature/Setting: Query student performance indicators and push notifications for adapted material.
 3.8 Edmodo (API: /users/{user_id}/assignments)
  • Feature/Setting: Track assignment performance and automate sending personalized resource links.
 3.9 Kahoot! (API: /rest/kahoots)
  • Feature/Setting: Deploy extra quizzes or review materials to students based on identified knowledge gaps.
 3.10 Socrative (API: Report Endpoints)
  • Feature/Setting: Extract quiz results and create customizable follow-up assessments.
 3.11 Quizizz (API: /api/v3/reports)
  • Feature/Setting: Auto-recommend and assign relevant quizzes for reinforcement or enrichment.
 3.12 Zoom (API: /metrics/meetings)
  • Feature/Setting: Track participation in virtual lessons and suggest additional support sessions for low engagement.
 3.13 Slack (API: chat.postMessage)
  • Feature/Setting: Send direct messages with tailored study tips and learning module links to students.
 3.14 Salesforce Education Cloud (API: /services/data/vXX.X/sobjects/StudentPerformance__c)
  • Feature/Setting: Synchronize performance records and trigger custom workflows for academic pathway suggestions.
 3.15 IBM Watson Discovery (API: /v1/query)
  • Feature/Setting: Run analytics on student text responses and recommend targeted learning articles.
 3.16 Amazon SES (API: SendEmail)
  • Feature/Setting: Email automated, individualized learning path updates with next steps and resources.
 3.17 Mailchimp (API: /3.0/lists/{list_id}/members)
  • Feature/Setting: Automate targeted email sequences based on performance segments.
 3.18 Notion (API: /v1/pages)
  • Feature/Setting: Auto-create/update learning dashboards for each student with recommended materials.
 3.19 Airtable (API: /v0/{baseId}/{tableName})
  • Feature/Setting: Maintain real-time adaptive learning records and trigger notifications for pathway adjustments.
 3.20 Trello (API: /1/cards)
  • Feature/Setting: Generate checklist cards outlining new tasks/resources for each student after each trigger event.

Benefits

 4.1 Personalized learning increases engagement and achievement rates in agricultural education.
 4.2 Automates early intervention, supporting both struggling and advanced students efficiently.
 4.3 Streamlines educator workflow, reducing manual tracking and customization effort.
 4.4 Data-driven recommendations foster continuous improvement of teaching strategies.
 4.5 Enhances parental and administrative reporting with real-time, actionable insights.

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