Technology for employability FE case studies: InnoTech

A case study from South West College, Northern Ireland focusing on their InnoTech Centre, which forges partnerships between industry and education in science, engineering, and technology.

People and Business Development (PBD): Learning to deliver learning effectively

In October 2010, PBD introduced its eQual Learning VLE (virtual learning environment) to provide an online knowledge resource for its students. During the project, the company learnt many lessons about how to deliver learning effectively. In the course of a year researching VLE platforms, looking for material, and remapping NVQ courses for new QCF qualifications, the company realised that it was more important to deliver engaging and relevant content, rather than boasting the most innovative technology.

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.

Digital student skills study

A report on the findings from the Jisc Digital Student Skills study into skills learners expectations and experiences of technology.

Essex ACL - Broadening horizons with blended learning - technology toolkit for foreign language tutors

As part of an LSIS Regional Response Fund project, Essex Adult Community Learning (ACL) has created a toolkit. The toolkit provides training for foreign language tutors in producing digital resources which combine audio, video, text and communication activities. The toolkit which is now an integral part of a blended learning language course, has also developed tutors' skills in using technology for teaching and learning. The main aim has also been to provide an alternative and flexible method of delivery, especially where funding cuts have impacted on the cost of running taught courses.

Digging into signs: Developing standard annotation practices for cross-linguistic, quantitative analysis of sign language data. Final Report.

For sign languages used by deaf communities, linguistic corpora have until recently been unavailable, due to the lack of a writing system and a written culture in these communities, and the very recent advent of digital video. Recent improvements in video and computer technology have now made larger sign language datasets possible; however, large sign language datasets that are fully machine-readable are still elusive. This is due to two challenges. 1. Inconsistencies that arise when signs are annotated by means of spoken/written language. 2. The fact that many parts of signed interaction are not necessarily fully composed of lexical signs (equivalent of words), instead consisting of constructions that are less conventionalised. As sign language corpus building progresses, the potential for some standards in annotation is beginning to emerge. But before this project, there were no attempts to standardise these practices across corpora, which is required to be able to compare data crosslinguistically. This project thus had the following aims: 1. To develop annotation standards for glosses (lexical/word level) 2. To test their reliability and validity 3. To improve current software tools that facilitate a reliable workflow Overall the project aimed not only to set a standard for the whole field of sign language studies throughout the world but also to make significant advances toward two of the world’s largest machine-readable datasets for sign languages – specifically the BSL Corpus (British Sign Language, http://bslcorpusproject.org) and the Corpus NGT (Sign Language of the Netherlands, http://www.ru.nl/corpusngt).