Active Pedagogy
Active pedagogies define mechanisms for teaching which are interactive and dynamic and where student learning is actively constructed through the process.
This DCAD resources site contains many articles, checklists, presentations and links to external resources designed to support you in your teaching and learning practice. We are continually adding to the resource bank in order to respond to the needs of teaching staff. If you would like us to develop material on a particular area please contact [email protected]
Active pedagogies define mechanisms for teaching which are interactive and dynamic and where student learning is actively constructed through the process.
In assessment for learning, the first priority in design and practice is to serve the purpose of promoting students’ learning.
Learning enhanced by the use of ever evolving technology to aid individual and collaborative work is called digital learning.
Inclusive learning recognises all students’ right to an educational experience that respects diversity, enables participation and removes barriers to learning for all.
The aims of the Evaluating for Excellence toolkit are threefold. Firstly, to evidence excellent teachers and pedagogic practise. Secondly, to identify individuals who need additional support and development to ensure that their teaching practice is of the highest and thirdly to provide a reflective evaluative toolkit to explore aspects of teaching and learning from different perspectives in order to create a culture of continuous improvement and striving for excellence.
Real examples demonstrating how Durham staff have integrated principles of good practice into their teaching across the institution.
This is a work-in-progress collection of case studies on the use of generative AI in learning, teaching and assessment from universities around the world. To contribute, please contact [email protected] For Durham University case studies, see Generative AI. Aberystwyth University Generative AI in Learning and Teaching: Case Study Series Association of National Teaching Fellows Gen AI […]
Who? Litka Milian, Department of Chemistry; Helen Costello, Academic Skills Centre, Durham Centre for Academic Development; approximately 160 students who take this open undergraduate module (this year all science disciplines were represented in the first-year cohort) What? The project seeks to help first-year students improve their essay writing skills through the peer review process […]
Who? Ric Crossman is an Associate Professor in the Department of Mathematical Sciences at the University of Durham. What? Groupwork is an integral part of Introduction to Statistics for Data Science, a core module for the Master of Data Science programme. A one-hour workshop on effective communication within groups (particularly groups containing individuals from different […]