R&R 2025 AI in Education Pedagogy Generative AI
The AI-TPS Framework: Using Generative AI for Active Learning in Principles of Economics
Mokhtar Tabari
Journal of Economics Teaching
In economics education, a persistent challenge is the high opportunity cost associated with instructor preparation time for developing active learning exercises. This paper introduces the AI-Generated Think-Pair-Share (AI-TPS) framework, a method that uses generative AI to help instructors efficiently create customized and up-to-date in-class activities. By using AI as a tool for instructor augmentation, the framework reduces the cost of creating engaging learning materials and makes evidence-based pedagogy more feasible and scalable in economics classrooms.
Working Paper 2025 Economics Education Experimental Design
Effects of using live case studies in a graduate business course
Mokhtar Tabari , Seyed-Reza Hosseinifar , Gelareh Farhadian
The study investigates the effectiveness of using live case studies in graduate business courses to improve students' power skills, critical thinking, and problem-solving. A randomized control trial design was used, and students were assigned to either a control or treatment group. Results show that students in the treatment group report higher levels of confidence in real-business problem-solving, communication, and leadership compared to those in the control group. The findings suggest that incorporating live case studies into business coursework can enhance student learning and prepare them for success in their professional careers.
Working Paper 2025 International Trade Intellectual Property Productivity
Patents, Prices and Productivity in the Global Economy
Mokhtar Tabari , Alex Whalley , Greg Wright
Products embodying intellectual property are exported globally, yet intellectual property regulations remain national. When firms face product adjustment costs, intellectual property regulatory decisions can have effects on prices and productivity in other markets and across all the firms' products. We study how Taiwanese firms respond to the loss of intellectual property protection in the United States. Using highly detailed firm-product-level data from 2000 to 2014 to estimate product level prices and productivity, we find three results. First, the loss of a patent invalidity case in the United States reduces product level export quantities, increases product level prices in export markets, but reduces product level productivity. Second, the loss of a patent invalidity case in the United States reduces product level domestic quantity, increases product level prices in domestic markets, and also reduces product level productivity. Third, the prices of other products in both domestic and export markets fall. Intellectual property embodied in marquee products can propagate intellectual property decisions across markets and products.