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Agentic AI - Coggle Diagram

- - - - Support educators in developing educational materials that facilitate active learning and formative evaluation of the materials
    - - Personalization, Outputs, Interactions, System, Evaluation
  - - - Frameworks
        
        Reasoning-action (ReAct) model
      - Definition
        
        Improves the one-shot prompting approach
        
        establishes a collaborative AI team to solve complex problems
        
        Team is composed of AI agents, each with specific roles and tasks, collaborates in a series of strategically orchestrated interactions to harvest group intelligence from the AI team and delivers more sophisticated and higher quality output
        
        Demonstrated superior performance in scenarios requiring collaboration and multiple execution paths
- - - - Definition
        
        Agentic AI refers to AI systems that exhibit autonomous decision making, goal oriented behaviour, and continuous learning while interacting with dynamic environments.
        
        Adapts based on real-time data and evolving objectives
        
        leverage machine learning, reinforcement learning, and multi-agent collaboration to perform tasks efficiently
      - Key Aspects
        
        Autonomy
        
        Goal-oriented behavior
        
        Environmental interaction
        
        Learning capability
        
        workflow optimization
        
        multi-agent systems
- - - - AI agents and agentic AI solutions are becoming a significant part of the education technology
      - Agentic AI, with its higher autonomy and ability to adapt to complex environments and long-term goals, continuously learns from data, integrates seamlessly with various technologies, actively perceives its surroundings, and proactively responds to changes, making it a powerful tool for transforming the academic industry by enhancing personalized learning, improving administrative efficiency, and fostering long-term engagement with students and alumni
      - As this technology advances, colleges will need to rethink course designs and the overall purpose of education to ensure that learning remains relevant and impactful in the age of AI automation
      - Framework
        
        Gus
        
        provides 24/7 real-time access to campus services and information, streamlining administrative processes and reducing manual workload.
        
        Trellis
        
        Agentic AI platform designed to assist in student recruitment
        
        Inovartech Agentic AI system
        
        streamlined the admissions workflow and provided real-time access to information on services like parking, housing, and academic programs
    - - Framework
        
        AI doubles
        
        personalized agents that enhance teaching by providing students with instant, tailored feedback and guidance across various subjects
        
        developed using Cogniti, self-service AI platform built on Azure infrastructure
        
        Educators used these agents to support a range of activities, including elucidating key principles, delivering study tips, handling routine questions, and encouraging curiosity
        
        AI agent for a fundamentals of chemistry course to promote educational equity by bridging learning gaps
        
        Agent provides concise explanations of key concepts, checks student understanding with questions, and assesses their knowledge level
      - AI agents are driving major changes in how education is delivered and experienced
    - - agentic AI faces new and more serious privacy and cybersecurity risks
      - Agentic AI is often a black box, raising concerns about transparency and accountability
      - agentic AI faces challenges in model limitations, memory capabilities, latency, and access to relevant data
      - agentic AI raises concerns about potential job displacement
      - risk of insufficient human oversight grows