Personalized Learning Path Creator & Progress Tracker for Online Educators

This is a submission for the Runner H "AI Agent Prompting" Challenge

What I Built

Personalized Learning Path Creator & Progress Tracker for Online Educators

This Runner H solution is designed to revolutionize online education by providing a highly individualized learning experience for every student. It automates the creation of personalized learning paths, recommends tailored resources, and proactively tracks student progress, significantly reducing the manual workload for educators while enhancing student engagement and retention. This multi-agent workflow leverages Runner H's orchestration capabilities to seamlessly integrate with Google Docs, Google Sheets, Notion, Gmail, and Slack, transforming a one-size-fits-all approach into a dynamic, adaptive educational journey.

Demo

How I Used Runner H

This solution utilizes Runner H's powerful agentic AI capabilities to orchestrate a series of automated tasks, each designed to contribute to a personalized learning experience. The core principle is to leverage Runner H's ability to understand natural language prompts, interact with various applications, and manage complex workflows autonomously.

Workflow Breakdown:

1. Student Profile Analysis & Learning Style Identification (Google Docs, Google Sheets, Notion)

• Objective: To automatically process student intake data and create comprehensive profiles, identifying individual learning preferences and prior knowledge.
• Runner H Action: Runner H is prompted to read and analyze student survey responses from a designated Google Sheet (e.g., Student_Intake_Form_Responses). It extracts crucial information such as learning styles (visual, auditory, kinesthetic), academic backgrounds, and specific learning goals. Based on this analysis, Runner H generates a concise summary profile for each student, saving it as a new Google Doc within a structured folder (e.g., Student_Profiles). Concurrently, it updates a centralized Notion database (e.g., Student_Roster) with the identified learning style and other relevant attributes for quick educator reference.

• Prompt Example:
  

  Runner H, analyze the new entries in the Google Sheet 'Student_Intake_Form_Responses'. 
  For each student, extract their preferred learning style (visual, auditory, kinesthetic) and any stated prior knowledge in [Course Name]. 
  Create a new Google Doc for each student in the 'Student_Profiles' folder, summarizing their profile. 
  Also, update the 'Student_Roster' Notion database with their learning style.
  

2. Dynamic Learning Path Generation & Resource Recommendation (Google Docs, Google Drive, Web Search)

• Objective: To create highly customized learning paths and recommend relevant resources based on each student's unique profile and ongoing progress.
• Runner H Action: Upon a trigger (e.g., a new student profile being created or a student completing a module), Runner H accesses the student's profile from Google Docs and their current progress from a Google Sheet (e.g., Course_Progress_Tracker). It then dynamically generates a personalized learning path, outlining the sequence of modules, topics, and activities best suited for that student. This path is saved as a new Google Doc in a dedicated folder (e.g., Student_Learning_Paths). Furthermore, Runner H recommends resources from a pre-curated Course_Resource_Library in Google Drive and, crucially, performs targeted web searches to identify and suggest external, highly-rated supplementary materials (articles, videos, interactive exercises) that align with the student's learning style and current needs.

• Prompt Example:
  

  Runner H, for Student_A (profile in 'Student_Profiles/Student_A.docx', progress in 'Course_Progress_Tracker'), generate a personalized learning path for [Next Course Module]. 
  Include relevant resources from 'Course_Resource_Library' in Google Drive and find 2 highly-rated external resources via web search. 
  Save the learning path to 'Student_Learning_Paths/Student_A_Path.docx'.
  

3. Automated Progress Tracking & Intervention Alerts (Google Sheets, Slack, Gmail)

• Objective: To continuously monitor student progress, identify at-risk students, and trigger timely, automated interventions and alerts.
• Runner H Action: Runner H is configured to monitor the Course_Progress_Tracker Google Sheet daily. It identifies students whose completion rates fall below a predefined threshold (e.g., 70%) or who show inactivity (e.g., no activity for more than 3 days). For these students, Runner H automatically drafts and sends personalized, encouraging emails via Gmail, offering support or suggesting next steps. Simultaneously, it posts an alert to a dedicated Slack channel (e.g., #educator-alerts), providing the student's name and the specific issue, enabling educators to intervene proactively.

• Prompt Example:
  

  Runner H, daily, check 'Course_Progress_Tracker' Google Sheet. 
  If any student's 'Completion_Rate' for a module is below 70% or 'Last_Activity_Date' is older than 3 days, send a personalized encouragement email via Gmail to the student. 
  Also, post an alert to the #educator-alerts Slack channel with the student's name and issue.
  

4. Automated Quiz Generation & Feedback (Google Docs, Google Sheets)

• Objective: To automate the creation of quizzes and provide immediate, personalized feedback to students, streamlining the assessment process.
• Runner H Action: Runner H generates quizzes based on specified course content. For instance, it can be prompted to create a 10-question multiple-choice quiz for a particular module, drawing content directly from a Google Doc containing the module's summary (e.g., Module_4_Content_Summary.docx). After students submit their answers (which are recorded in a Google Sheet like Quiz_Submissions), Runner H processes these submissions. It then generates individualized feedback for each student in a new Google Doc (e.g., Student_Feedback/Quiz_4_Student_X_Feedback.docx), highlighting incorrect answers and providing explanations or references to relevant course material for improvement. This significantly reduces the grading burden on educators and provides students with instant, actionable insights.

• Prompt Example:
  

  Runner H, generate a 10-question multiple-choice quiz for [Course Module Name] using content from 'Module_X_Content_Summary.docx'. 
  After quiz submissions are recorded in 'Quiz_Submissions' Google Sheet, generate personalized feedback for each student in a new Google Doc, highlighting incorrect answers and providing explanations. 
  Save feedback to 'Student_Feedback/Quiz_X_Student_Y_Feedback.docx'.
  

Use Case & Impact

This Runner H solution addresses a critical need in online education: the ability to deliver truly personalized learning experiences at scale. Traditional online courses often struggle with high dropout rates due to a lack of individualized attention and support. This automated system transforms that dynamic.

Who Benefits:

• Online Educators and Course Creators: Individuals or teams managing online courses, MOOCs, or e-learning platforms. This solution frees up significant time previously spent on manual tasks like student profiling, resource curation, progress monitoring, and feedback generation.
• Educational Institutions: Universities, colleges, and vocational schools offering online programs can leverage this to improve student success rates and the overall quality of their digital learning environments.
• Corporate Training Departments: Companies providing internal training can use this to tailor learning paths for employees, ensuring more effective skill development and knowledge retention.
• Students: Learners benefit from a highly customized educational journey that adapts to their pace, preferences, and needs. This leads to increased engagement, better comprehension, and improved learning outcomes.

Impact:

• Scalability of Personalization: Enables educators to provide personalized attention to hundreds or thousands of students, a feat nearly impossible with manual methods.
• Improved Student Engagement & Retention: By offering tailored content and timely interventions, the system keeps students motivated and on track, reducing dropout rates.
• Increased Educator Efficiency: Automates repetitive administrative tasks, allowing educators to focus on high-value activities like curriculum development, one-on-one mentoring, and fostering community.
• Data-Driven Insights: The automated tracking and reporting provide educators with valuable insights into student performance and learning patterns, enabling continuous improvement of course content and teaching strategies.
• Enhanced Learning Outcomes: Students receive content and support precisely when and how they need it, leading to deeper understanding and better mastery of the subject matter.

Unique Angle: While many platforms offer some level of personalization, this Runner H solution provides a truly dynamic and autonomous system that continuously adapts to student needs and proactively intervenes. It's not just about delivering pre-set adaptive content; it's about an AI agent acting as a dedicated, intelligent teaching assistant for every single student, from initial assessment to ongoing support and feedback. This brings the benefits of a personalized tutor to the mass scale of online education, creating a new paradigm in digital learning.

Thank you!