Development of Integrated Educational Platform with GCP and GPT

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Development of Integrated Educational Platform with GCP and GPT

  • Day: 2024-02-01
  • Time: 01:00 to 02:40
  • Project: Teaching
  • Workspace: WP 1: Strategic / Growth & Development
  • Status: In Progress
  • Priority: MEDIUM
  • Assignee: Matías Nehuen Iglesias
  • Tags: Education, GCP, GPT, Integration, AI, Platform

Description

Session Goal:

The session aimed to explore and develop an integrated educational platform leveraging Google Cloud Platform (GCP) and GPT models to enhance educational practices.

Key Activities:

  • Proposed reflective questions for evaluating key algorithm concepts to foster critical thinking.
  • Developed guidelines for practice and feedback systems for students, emphasizing planning, execution, and technology use.
  • Suggested a practice and evaluation system using Google tools, focusing on student registration, form design, response collection, feedback, and compliance.
  • Planned a workflow using GCP for collecting, storing, processing, and analyzing student responses, ensuring system security and scalability.
  • Detailed a structured approach for data collection and storage using Google Forms and Cloud SQL, emphasizing automation and maintenance.
  • Explored AI grading models, discussing specific training and hybrid systems.
  • Described the customization of GPT models for specific tasks like grading, including steps from creation to external application interaction.
  • Proposed a database schema for storing student responses, considering security and automation.
  • Explored the use of AI for instant feedback in education, discussing implementation steps.
  • Detailed steps for creating an educational platform integrating GCP and GPT, including design, workflow, and security considerations.

Achievements:

  • Established a comprehensive framework for an educational platform integrating GCP and GPT.
  • Developed actionable guidelines and proposals for implementing AI-driven educational tools.

Pending Tasks:

  • Finalize the integration process of GPT models with GCP.
  • Conduct testing and validation of the proposed systems and tools.
  • Address any compliance and security issues identified during implementation.

Evidence

  • source_file=2024-02-01.sessions.jsonl, line_number=0, event_count=0, session_id=76f7046fd0d3f0ddff77b4b7ad21e2d2ed11b16cc7a543ee73f60f313f0a2925
  • event_ids: []

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