Jon’s Personal Website
Dr Jon Cardoso-Silva
Assistant Professor of Data Science (Education) 1
LSE Data Science Institute
Generative AI in Education Data Science Education
Evidence-based Teaching Data Manipulation Research
Bio: Dr Jon Cardoso-Silva of the Data Science Institute at the London School of Economics (LSE) is one of the leaders of 
GENIAL (Generative AI as a Catalyst for Learning), a research initiative exploring the transformative potential of generative AI in higher education. Jon was awarded an LSE AI and Education Fellowship and integrates empirical learning approaches with AI-enhanced methodologies in undergraduate data science education through the courses he leads: 
DS105, 
DS205, and 
ME204. His recent work examines how ChatGPT influences student programming practices, illuminating both the opportunities and challenges these technologies present for contemporary education. Through his innovative teaching practices and research, Jon actively shapes discussions around meaningful, effective, and ethically sound AI integration in academia. His teaching excellence earned him the student-led LSESU Teaching Award for Feedback & Communication in 2023.
Last updated: 22 August 2025
Current Focus
I develop and teach undergraduate and executive education courses at LSE, focusing on data collection, manipulation, and AI integration in educational contexts. My current research centres on understanding how generative AI tools impact learning outcomes and developing evidence-based pedagogical approaches.
Through my LSE AI and Education Fellowship (2025-2027), I am building a proactive AI tutor system for DS105 that produces differential learning pathways to guide students through their learning journey while creating assessment strategies that other disciplines can adapt. The project aims to create and test the suitability of AI tools to support coding courses in which the cohort of students have different coding backgrounds and provide real-time insights into learning processes.
Latest publication: Approach Generative AI Tools Proactively or Risk Bypassing the Learning Process in Higher Education, LSE Public Policy Review, 3(3), p. 7.
Teaching
DS105 - Data for Data Science
Undergraduate
Hands-on coding exercises focused on collecting and handling “real data” - from terminal commands and APIs to data cleaning, linking disparate sources, and collaborative GitHub workflows.
DS205 - Advanced Data Manipulation
Undergraduate
Master advanced data manipulation with pandas, REST APIs, web scraping, NLP techniques, and RAG pipelines. Collaborative group project with the Transition Pathway Initiative (TPI) Centre.
AI Leadership Accelerator
Executive Education
Six-month online programme for senior leaders to assess AI opportunities, build strategic business cases, and lead AI transformation. Jointly designed with the Dr. Dori Sallai from the Department of Management at LSE.
Research Projects
GENIAL - GENerative AI Tools as a Catalyst for Learning
Project site: lse-dsi.github.io/genial