Mei-Yao Chang

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About

Mei-Yao Chang is a researcher at the intersection of artificial intelligence and education, with a primary focus on developing intelligent dialogue systems for pedagogical applications. Her most cited work, "Developing Chatbot with Deep Learning Techniques for Negotiation Course" (2019), demonstrates a pioneering application of recurrent neural networks (RNN) and long short-term memory (LSTM) architectures to create a conversational agent for bargaining simulations. This chatbot enables students to practice negotiation skills through realistic, AI-driven dialogues, directly addressing a critical gap in experiential learning for business and communication courses. By integrating deep learning into curriculum design, Chang’s research not only advances the technical feasibility of educational chatbots but also provides empirical evidence of their effectiveness in skill acquisition. With 5 citations, this work has laid foundational groundwork for subsequent studies in AI-assisted negotiation training. Chang’s contributions highlight the transformative potential of combining natural language processing with pedagogical strategies, offering a scalable tool for interactive learning environments. Her research continues to inspire innovations in adaptive educational technology, making her a notable figure in the emerging field of AI-enhanced education.