Richeng Piao: Economist, Data Analyst, and AI Enthusiast
Philosophy of Education:
As an educator, I am committed to fostering a learning environment that empowers students to navigate the complexities of an increasingly data-driven economic landscape. My interdisciplinary background in economics, data analysis, and artificial intelligence informs my teaching approach, enabling me to integrate empirical research with insights into the evolving interplay between technology and economics.
I believe that education should equip students with the analytical tools and critical thinking skills necessary to interpret and engage with the dynamic challenges of the digital era. By emphasizing experiential learning and real-world applications, I aim to prepare students to become informed and adaptable professionals in their future careers.
Teaching Approach:
My teaching methodology is shaped by my expertise in data analysis, empirical economic modeling, and current research, including studies on dynamic pricing strategies in digital marketplaces. I strive to create relatable and engaging classes that bridge the gap between theoretical concepts and practical applications, using real-world examples to enhance understanding.
To accommodate diverse learning styles, I incorporate a variety of teaching methods, such as lectures, case studies, interactive activities, and hands-on exercises in tools like Jupyter Notebook and Python. My classroom emphasizes active engagement, encouraging students to develop critical thinking and problem-solving skills through collaboration and discussion.
A cornerstone of my approach is making economic concepts relevant by connecting them to historical events and contemporary issues. Whether analyzing past crises or exploring current economic trends, I aim to enrich learning by linking theories to tangible examples. To further support this, I maintain a curated collection of these stories and examples, which is readily available for students and colleagues to explore and deepen their insights. This dynamic and practical approach fosters a learning environment where students can connect theory with the world around them.
My Teaching Goals:
My teaching is guided by four key objectives:
- Deep Understanding of Economics: I emphasize the connection between economic theories and real-world scenarios, showing students how these concepts apply to everyday decision-making and business challenges.
- Critical Thinking Development: My goal is to foster analytical engagement, encouraging students to think deeply, question assumptions, and develop intellectual and professional competencies.
- Practical Skills Acquisition: I prioritize hands-on learning, equipping students with data analysis tools like Python and Jupyter Notebook to prepare them for the demands of a data-driven world.
- Lifelong Interest in Economics and Technology: By sharing my enthusiasm for the intersection of economics and AI, I inspire students to explore how technology transforms markets and organizational dynamics, cultivating a lasting interest in these evolving fields.
My Commitment:
I am deeply committed to supporting students both within and beyond the classroom. I prioritize being accessible, whether through office hours or virtual platforms, to provide guidance and mentorship as students navigate their academic and career aspirations.
Conclusion:
With expertise in economics, econometrics, and GenAI, coupled with a genuine passion for teaching, I am dedicated to creating a learning environment that is both enriching and impactful. Together, we will explore the intricacies of contemporary economic challenges and develop the tools for making informed decisions in an ever-changing global landscape.