Science Literacy Competence Framework

Creator(s)

Hannah Shea, Lai Ma, Xinna Li

Organisation(s)

University College Dublin

Discipline(s)

Administration and Law, Agriculture, Arts and Humanities, Business, Education, Engineering, Fisheries and Veterinary, Forestry, Generic programmes and qualifications, Health and Welfare, Information and Communication Technologies, journalism and information, Manufacturing and Construction, Mathematics and Statistics, Natural Sciences,

Topic(s)

Curriculum Design

License

CC BY

Media Format

PDF

Date Submitted

Submitted by

Export Resource Data

Description

Science Literacy Competence Framework for Undergraduate and Postgraduate Curriculum

Benefit of this resource and how to make the best use of it

The science literacy competence framework outlines key concepts to be incorporated in curriculum and module design. Science literacy is essential for tackling the spread of science mis-/disinformation on social media platforms. The President of the National Academies in the United States and the Editor-in-Chief of Science have called for the teaching of the norms and values, as well as philosophy of science to bolster public trust in science.

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/
? This citation is automatically generated and may require adjustment. Always verify it against your style guide.
Shea, H., Ma, L., & Li, X. (2024). Science literacy competence framework. National Resource Hub (Ireland). Retrieved from: https://hub.teachingandlearning.ie/resource/science-literacy-competence-framework/ License: Creative Commons Attribution (CC BY).

Adapting this resource? Share your version!

If you have modified or adopted this resource, share your version here. Tracking adaptations helps us measure impact and connects others with useful updates.

Related OER

This resource presents AVINA, an automated visual novel generator using large language models to transform multiple-choice questions into interactive learning narratives. Designed for educators and students, it supports gamified training in academic integrity and ethical decision-making through adaptive storytelling and experiential learning.

The report – Generative AI in Higher Education Teaching and Learning: Sectoral Perspectives – was commissioned as part of the Higher Education Authority’s evidence-led approach to policy development.

The report captures the views of staff, students, and leaders across the Irish higher education system on the opportunities and challenges posed by artificial intelligence.

It brings together insights from ten thematic focus groups and a leadership summit, involving over 80 participants from across Ireland’s higher education institutions, alongside student representatives and sectoral stakeholders.

This resource captures insights through zine making from workshop participants at the Education after the algorithm symposium hosted at DCU on 21 February 2025, facilitated by Kate Molloy and Clare Thomson.

Symposium: https://hackthiscourse.com/symposium/?=1#/

Slides: https://docs.google.com/presentation/d/1TpNdJxnLij-bi8bInJfxJwAegR_JjKVa/edit?