Resource recommendation engine based on student needs

Purpose

1.1. Automate identification of student academic performance, engagement, or feedback data for tailored resource recommendations.
1.2. Automate delivery of curated study materials, workshops, events, and support resources to targeted students based on dynamic needs analysis.
1.3. Automate ongoing monitoring of student support utilization for management school retention and success improvements.

Trigger Conditions

2.1. Automatedly triggered by new assessment results or periodic grade synchronization.
2.2. Automate response to student feedback, surveys, or flagged support requests.
2.3. Automated event based on lack of activity or logged absences on learning platforms.
2.4. Change in program enrollment status to automate resource reassessment.

Platform Variants

3.1. Google Sheets
• Feature/Setting: Use "onEdit" or "onChange" automation to monitor performance columns and trigger resource assignment.

3.2. Microsoft Power Automate
• Feature/Setting: Configure "When an item is modified" for SharePoint or Excel; automate resource recommendation flows.

3.3. Salesforce
• Feature/Setting: Automate using Flow Builder and "Opportunity Updated" or "Contact Score Changed"; set actions to automate resource email.

3.4. HubSpot
• Feature/Setting: Configure workflows with "List enrollment trigger" for student properties; automate resource email or chat drip.

3.5. Twilio SMS
• Feature/Setting: Automate sending relevant resource suggestions via programmable SMS API with "student_score_alert".

3.6. Slack
• Feature/Setting: Use incoming Webhook or "Slackbot automation" to automate resource notification in student or advisor channels.

3.7. Mailchimp
• Feature/Setting: Use Automation triggers like tag application for "Low Engagement" to automate targeted email sequences.

3.8. Moodle
• Feature/Setting: Enable learning analytics triggers and automate personalized resource recommendation blocks.

3.9. Canvas LMS
• Feature/Setting: Automate with Learning Mastery or Analytics API to identify at-risk students and automate message tasks.

3.10. Microsoft Teams
• Feature/Setting: Automate via Teams Graph API with event triggers for at-risk users, automate chat or resource card.

3.11. Zendesk
• Feature/Setting: Automate ticket creation when "student support" is detected and automate recommended resource replies.

3.12. SendGrid
• Feature/Setting: Automate transactional or marketing API for personalized resource campaign delivery.

3.13. Typeform
• Feature/Setting: Automate recommended follow-ups based on Typeform API webhook submissions indicating student needs.

3.14. Calendly
• Feature/Setting: Automate invitations for resource-based sessions upon survey or feedback trigger.

3.15. Airtable
• Feature/Setting: Automate record updates via Airtable Automations or API for flagged students and recommended resources.

3.16. Zapier
• Feature/Setting: Automate linking LMS events, emails, and messaging for recommendation workflow chains.

3.17. Intercom
• Feature/Setting: Automate "Custom bot" or "Smart Campaigns" to deliver resources in-app based on student profile triggers.

3.18. Notion
• Feature/Setting: Automate via Notion API and database triggers to create resource pages for flagged students.

3.19. Asana
• Feature/Setting: Automate task creation for advisers when students meet resource recommendation criteria.

3.20. SurveyMonkey
• Feature/Setting: Automate recommendatory follow-up emails based on survey responses using API webhooks.

3.21. Trello
• Feature/Setting: Automate new resource card creation when a student needs assessment matches criteria.

3.22. Freshdesk
• Feature/Setting: Automate ticket and resource guide suggestions on flagged support inquiries.

3.23. Google Classroom
• Feature/Setting: Automate assignment of resource materials via Google Classroom API for underperforming students.

3.24. OneSignal
• Feature/Setting: Automate push notifications about recommended resources via segment triggers.

Benefits

4.1. Automates equitable and timely student support, improving management school retention rates.
4.2. Automation reduces manual admin workload for educators and advisers.
4.3. Automator ensures students receive relevant resources at intervention moments.
4.4. Automating recommendations allows for scalable personalization of resource delivery.
4.5. Automatedly monitors resource uptake and student progress for iterative curriculum enhancements.