Seeds for Solutions, How does the past inform the future? Innovation projects from 2008/09 #KATS2015

Project Title: Development of a High-resolution Geoscience Field-derived Dataset for Teaching and Learning
Project Leader(s): Jamie Pringle, Nigel Cassidy, Ian Stimpson and Peter Styles

This proposed project will create a fully developed, real world-derived, multi-disciplinary, learning dataset from the Gilpin/Kent Valley area near Grange-over-Sands in the Lake District, UK. This area has been used as a final year student field-area for some years at Keele within their M.Geoscience course, as it has a complex, glaciated buried valley floor that is challenging for students to both recognise and recreate in three dimensions. Some geophysical data from past student activities will be combined with the proposed newly-acquired, multi-technique geophysical data, remote sensing (ArcGIS) and geotechnical boreholes (digitised from published material) to complete a high resolution, near-surface dataset of the field area.

Once created, the dataset will allow students to be set appropriate student level tasks, from year I, II, III and IV. This will significantly enhance the students’ learning experience, and develop quantitative analysis skills that can be applied to real-world problems on graduation (see Hill et al. 2004).

Development of a High-resolution Geoscience Field-derived Dataset - Presentation

Development of a High-resolution Geoscience Field-derived Dataset for Teaching and Learning by Jamie Pringle, Nigel Cassidy, Ian Stimpson and Peter Styles, Keele University is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Project Title: Free-text Formative Assessment of Key Features Problems in the School of Medicine
Project Leader(s): Adrian Molyneux and Richard Hays

The aim of the project is to offer on-demand formative assessments to medical students. Initially, this will cover year 2 students but will ultimately expand to all years. The focus of these assessments is that they will enable students to give open, free-text responses to questions, and have these marked automatically by computer. The students’ feedback will also include constructive comments to provide assistive pointers where the answer is deemed to be incorrect, and further learning points to stretch those students answering correctly.

Free-text Formative Assessment of Key Feature Problems - Presentation Slides

Free-text Formative Assessment of Key Features Problems in the School of Medicine by Adrian Molyneux and Richard Hays, Keele University is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.