This research poster presents a Universal Design for Learning (UDL) framework for teaching econometrics using Python, Google Colab and Canvas. It highlights inclusive teaching strategies, including mini-hackathons, instructional videos and real-world datasets, aimed at enhancing student engagement, accessibility and digital skills. Intended for edu
This resource provides educators with a practical framework for integrating Universal Design for Learning (UDL) principles into the teaching of econometrics and other quantitative disciplines. It demonstrates how inclusive teaching practices can be combined with digital technologies, active learning and real-world applications to enhance student engagement, accessibility and the development of transferable skills.
Educators can use the poster as a starting point for redesigning modules to incorporate the three core UDL principles: multiple means of engagement, representation, and action and expression. Practical applications include developing short pre-lecture instructional videos, introducing collaborative mini-hackathons, creating interactive Python exercises using Google Colab, and integrating real-world datasets into teaching and assessment.
The approach is particularly relevant to disciplines such as economics, finance, business analytics, statistics and sustainability, where students may encounter barriers associated with technical content, mathematical concepts or programming.
Academic developers and instructional designers can use the framework to support curriculum redesign, facilitate staff development workshops and encourage discussion around inclusive digital pedagogy. The approach can be adapted to different class sizes, student cohorts and disciplinary contexts.
Creative Commons Attribution (CC BY)
This work is licensed under a CC BY license, allowing sharing and adaptation with proper attribution.
https://creativecommons.org/licenses/by/4.0/
Links open in a new tab.
If you have modified or adopted this resource, share your version here. Tracking adaptations helps us measure impact and connects others with useful updates.
Explore resources sharing the topics attached to this record.
A timely and thought-provoking collection exploring how generative AI is reshaping teaching, learning, and academic practice. Grounded in the Manifesto for Generative AI in Higher Education, this book brings together diverse voices from across the sector to reflect on pedagogy, ethics, and the future of education in an age of abundance.
This Open Educational Resource (OER) provides a clear, step-by-step infographic explaining how to set up Mastery Paths in Canvas LMS to support personalised learning. Designed for educators and instructional designers, it includes practical setup instructions, examples of differentiated learning pathways, and a QR code linking to a video demonstrat
This Open Educational Resource (OER) provides educators with a practical checklist for designing gamified learning experiences in Canvas. Grounded in Self-Determination Theory, it offers actionable strategies to enhance student motivation, engagement, and participation by supporting autonomy, competence, and relatedness within an inclusive, student-centred learning environment.
