Potential Abstract: This research explores the integration of experiential learning objects within Jupyter notebooks, utilizing cloud technologies to enhance research methods in education. Drawing on Marxist theory, the study examines how these tools can democratize access to advanced computational resources and foster critical engagement with data analysis and visualization. Through a mixed-methods approach, including qualitative analysis of student experiences and quantitative assessments of learning outcomes, the study investigates the potential of this pedagogical approach to empower learners to interrogate the socio-political implications of data-driven decision-making. By situating the use of Jupyter notebooks within a broader critique of capitalist structures that shape educational technologies, this research aims to contribute to a more equitable and socially just educational landscape.
Potential References:
- From engagement to empowerment: project-based learning in Python coding courses
- Possible worlds explorer: Combining declarative programming with user-friendly Jupyter Notebooks
- Course materials for an introduction to data-driven chemistry
- A Decolonial Black Feminist Marxist Perspective
- Large-Scale Data Analytics with Python and Spark: A Hands-on Guide to Implementing Machine Learning Solutions
