Case study: Using iPads to deliver a personalised IT and learning strategy

Case study on how 16 - 18 year old students at Portsmouth College have access to an iPad mini to support independent and personalised learning.

Case study: Transforming the student voice process

Case study on how Pembrokeshire College is using a digital tool and methodology called VocalEyes to support democratic decision-making and improve learner involvement and satisfaction.

Case study: DigiDesk a helpdesk run by students for students and staff

Case study on the DigiDesk helpdesk service at Barnet and Southgate College that helps meet FELTAG recommendations for greater participation in digital leadership activities and schemes.

Case study: Building a powerful partnership empowering the student community

Case study on two initiatives at Leeds City College to enhance the student digital experience and develop leadership skills, competencies and experience that will prepare student for future study and employment.

Case study: Reaping the benefits of reliable systems and flexible support

Case study on how Chichester College is taking a strategic approach to improving the student experience through effective use of technology.

Case study: Making it happen, embedding digital technologies in curriculum activities

Case study on how South Eastern Regional College are taking a strategic approach to managing and developing digital technologies to enhance the student experience.

Case study: Supporting informed implementation and use of technology in learning

Case study on how Plumpton College and FE Sussex and 13 other partners are leading a programme to facilitate the management and introduction of learning technology in those colleges. The project has two strands which address aspects of technology in leadership, governance and teaching practice.

Case study: Mastering the governance of technology

Case study on how the Heart of Worcestershire College is leading a project with four other colleges to support college governors in making confident, effective and well-informed decisions on the investment, innovation and development of technology use to support learning.

Preprocess and data analysis techniques for affymetrix DNA microarrays using bioconductor: a case study in Alzheimer disease

DNA microarray, or DNA chip, is a technology that allows us to obtain the expression level of many genes in a single experiment. The fact that numerical expression values can be easily obtained gives us the possibility to use multiple statistical techniques of data analysis. In this project microarray data is obtained from Gene Expression Omnibus, the repository of National Center for Biotechnology Information (NCBI). Then, the noise is removed and data is normalized, also we use hypothesis tests to find the most relevant genes that may be involved in a disease and use machine learning methods like KNN, Random Forest or Kmeans. For performing the analysis we use Bioconductor, packages in R for the analysis of biological data, and we conduct a case study in Alzheimer disease. The complete code can be found in https://github.com/alberto-poncelas/ bioc-alzheimer