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Advancing Innovation in Management Education: Integrating GenAI into Teaching, Learning, and Assessment
Project mission
To support course leaders in management in integrating AI into their teaching, learning, and assessment practices through screening, practice building, and practice sharing activities.
Diagnostics
Student-led interviews with course leaders
Data collection on faculty engagement with GenAI in teaching, research, and administration
Evaluation and idea generation on GenAI’s impact on learning and assessment
Student-Staff Dialogue
Surveys, interviews, and focus groups
Dialogue between faculty and student researchers about course innovation and AI integration ideas
Exploration and design
Explore integrating GenAI into curriculum and administrative tasks
Identify practical steps needed for GenAI integration
Develop and evaluate class activities for effective and critical use of GenAI
Practice sharing
Blog posts
Conference presentations
Report from student researchers
Participating courses
MG317 Leading Organisational Change
MG4E2 Marketing Management
MG455 Decisions, Biases and Nudges
MG311 Foundations of Behavioural Decision Science
MG4F8 Managerial Economics and Quantitative Measurement for Social Entrepreneurship
MG4B7 Leading Organisational Change
MG308 Simulations for Managerial Decisions
MG104 Operations Management
MG4J8 Management Artificial Intelligence
MG468 Business Ethics
A collaborative project involving eight faculty members, 10 courses and 1,250 students
In LSE's Management Department
Questions or would like to collaborate?
Contact Dr Dorottya Sallai at d.sallai@lse.ac.uk to get more information about the project
The project is funded by the LSE Eden Centre's Catalyst Fund
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