Date Created
12-16-2025
Institution Type
Baccalaureate college
Course Level
Undergraduate
Modality of Lesson
Online
Category
Ideation and Structuring
Primary AI Tool Used
Open AI
Learning Objectives
- Apply core economic theories to real-world scenarios.
- Demonstrate critical thinking through chatbot design and refinement.
- Communicate economic concepts clearly via interactive technology.
- Develop AI literacy and reflect on ethical AI use in education.
Strategy Description
Students engage with instructor-designed GPT-powered bots (e.g., ECONOHelper, Owlnomics, Alpha (student bot)) to practice applying economic theories and solving structured case studies. Bots are programmed to withhold direct answers initially, prompting students with guiding questions to stimulate analysis before offering feedback or clarification.
For example:
- In Microeconomics, ECONOHelper helps students interpret supply and demand graphs, calculate elasticity, and analyze pricing strategies for products such as Tesla’s Cybertruck or staple foods.
- In Macroeconomics, Owlnomics guides students through models such as Aggregate Expenditures (AE) and AD-AS, asking them to predict outcomes of fiscal and monetary policies in real-world-inspired scenarios like “Larissaland” or “Economia.”
The bots’ role is not to provide instant answers but to serve as scaffolding tutors that simulate guided practice. Students must first articulate their reasoning, then refine it with bot prompts. Assignments often include screenshots of conversations with the bots, economic models they built (e.g., graphs in Desmos, Excel or Google Sheets), and short written reflections.
Publisher
University of Central Florida Libraries
Keywords
Economics Education; Microeconomics; Macroeconomics; Elasticity; Aggregate demand and supply; Aggregate expenditures; Production possibilities frontier; Circular Flow Model; Case study learning; Graph interpretation; Digital literacy; Student engagement; Guided practice; Active learning; AI scaffolding; Higher education; IRSC; Adobe Creative Campus
Subjects
Economics--Computer-assisted instruction; Microeconomics--Computer-assisted instruction; Macroeconomics--Computer-assisted instruction; Economics--Study and teaching--Simulation methods; Chatbots
Type
Text; Document
Collection
Series
Audience
Faculty; Students; Educators
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Recommended Citation
Ray, Larisa, "Leveraging Custom GPT Bots to Enhance Learning in Economics" (2025). Teaching Repository of AI-Infused Learning. 30.
https://stars.library.ucf.edu/traiil/30
Rubric_Chatbot Test Prep Rubric_Updated_LR.docx (15 kB)
Chat with Economist_Larisa Ray.docx (19 kB)
Chatbot Test Prep on AD-AS Model_Larisa Ray.docx (20 kB)
Student Summary about ECONOHeper.png (423 kB)
Chat with Macroeconomist Student Reflection.pdf (135 kB)