Intelligent Academic Coordinator Agent for Flipped & Hybrid Learning

Agentic Automation AgentHack
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1

AgentHack submission type

Enterprise Agents

Name

Brajesh

Team name

eduprompt.tech

How many agents do you use

One agent

Industry category in which use case would best fit in (Select up to 2 industries)

Universities/Academy

Complexity level

Intermediate

Summary (abstract)

The agent acts as an Intelligent Academic Coordinator for Flipped and Hybrid Learning environments. It processes student-chatbot conversations, extracts key insights—including subjects discussed, questions asked, and learning gaps—and automatically delivers structured summaries to the respective teachers. This enables timely, personalized intervention and supports the flipped learning model by serving as a first-level AI academic handoff system.

Detailed problem statement

As NLP and large language models reshape education, a single chatbot now interacts with students across subjects. In flipped and hybrid learning models, this creates a challenge—teachers don’t receive timely, subject-specific insights from student conversations. This disconnect limits personalized teaching.
In the coming days, bridging this communication gap will be critical—and that’s exactly what this agent solves.

Detailed solution

An agent built on UiPath’s Agent Studio is designed to analyze student-chatbot communication, extract key information, identify learning gaps, and segregate topics by subject. It then delivers structured insights to the respective teachers, enabling them to take informed action within hybrid and flipped learning environments.

Demo Video

Expected impact of this automation

Improved teacher awareness of student learning gaps, faster intervention in hybrid classrooms, and more personalized, efficient teaching—driven by real-time insights from student-AI interactions.

UiPath products used (select up to 4 items)

UiPath Agent Builder
UiPath Autopilot™
UiPath Clipboard AI™
UiPath Maestro
UiPath Orchestrator

Integration with external technologies

Open Ai chatGPT , Claude

Agentic solution architecture (file size up to 4 MB)

The image illustrates a student-teacher communication flowchart, detailing the process from initiating chat to insight delivery and feedback. (Captioned by AI)
The image illustrates a student-teacher communication flowchart, detailing the process from initiating chat to insight delivery and feedback. (Captioned by AI)1024×1024 127 KB

Sample inputs and outputs for solution execution

Student: What is pressure? Chatbot: Pressure is the force applied on a surface divided by the area. Student: So if I press hard with a pencil, it’s more pressure than a brick? Chatbot: Yes. A sharp object applies more pressure on a smaller area. Student: Then why can’t we cut wood with a brick? Chatbot: A brick has more mass but less pressure because the area is large.

output:

  1. Subjects Discussed:

    • Physics

  2. Key Points:

    • Definition of pressure as force divided by area.
    • The relationship between pressure, force, and surface area.
    • Practical examples of pressure using a pencil and a brick.

  3. Questions Asked:

    • What is pressure?
    • So if I press hard with a pencil, it’s more pressure than a brick?
    • Then why can’t we cut wood with a brick?

  4. Gaps in Understanding:

    • The student initially seemed to equate mass with pressure but gained clarity through the explanation.

  5. Areas of Interest/Aptitude:

    • The student showed interest in understanding real-life applications of pressure, such as using a pencil versus a brick.

  6. Number of Questions Asked: 3

Other resources

tbd