JISC TechDis Accessibility essentials guide: Making electronic documents more readable

The TechDis Accessibility Essentials Guide for Reading has been divided into the following three sections: Font colours and styles; Enlarging text and Navigating documents. These guides have been designed to give practical step-by-step information to enable anyone reading electronic material to amend its look and feel into a style which suits them, their audience or the context in which it is used.

EPS (Electronic Portfolio System)

In 2001, before the term “e-portfolio” was common parlance there was a perceived need to enable teachers in training to save, store, present and archive their electronically-based work so that it could be assessed by tutors. A Teacher Training Agency (TTA) Grant was used to design and implement an online system for trainee teachers to save evidence of their activities called Electronic Portfolio System (EPS). Over the years, its use and value has changed and, through the support of the Teacher Development Agency for schools (TDA), the system will continue to develop. The features of the system have grown organically because of technology changes and by tutors and mentors identifying affordances. This presentation will identify the principles and how they guide the development process. It will give an opportunity to elucidate the next stages in e-portfolio developments.

Electronic theses and dissertations at Virginia Tech.

Virginia Tech has been depositing e-theses for over a decade and is a leader in the field. University of Southampton introduced e-thesis deposit in the academic session 2008-09

Maths for Electronic Engineers

Exercises and solutions for a second year engineering maths course. Diagrams for the question are all together in the support.zip file, as .eps files

Writing a Technical Report for Electronic and Electrical Engineers

Has a mixture of factual information (conventions on how a report should be structured) and motivational information on improving writing and communication skills

Privacy and Electronic Communications

slides for a class which explores professional, ethical and legal issues surround the use, storage and transmission of electronic communications and data. Follows on from previous class which looked in greater detail at the Data Protection Act

Turning Point zapper test of moment by moment voting

This short 3 min video shows how Camtasia Studio can be used to record the audio of a lecture alongside the moment-by-moment votes recorded using Turning Point.

A User-Centric Approach to eCertificate for Electronic Identities (eIDs) Management in Mobile Environment

The use of electronic documents is constantly growing and the necessity to implement an ad-hoc eCertificate which manages access to private information is not only required but also necessary. This paper presents a protocol for the management of electronic identities (eIDs), meant as a substitute for the paper-based IDs, in a mobile environment with a user-centric approach. Mobile devices have been chosen because they provide mobility, personal use and high computational complexity. The inherent user-centricity also allows the user to personally manage the ID information and to display only what is required. The chosen path to develop the protocol is to migrate the existing eCert technologies implemented by the Learning Societies Laboratory in Southampton. By comparing this protocol with the analysis of the eID problem domain, a new solution has been derived which is compatible with both systems without loss of features.

Electronic systems/resources introduction

Presentation guide for Tom and Paul - apologies for quality/lack-of-rehersal. It was only intended as a mic-check, but I got carried away.

The Age of Social Machines

Many of the most successful and important systems that impact our lives combine humans, data, and algorithms at Web Scale. These social machines are amalgamations of human and machine intelligence. This seminar will provide an update on SOCIAM, a five year EPSRC Programme Grant that seeks to gain a better understanding of social machines; how they are observed and constituted, how they can be designed and their fate determined. We will review how social machines can be of value to society, organisations and individuals. We will consider the challenges they present to our various disciplines.

Hierarchical Prediction Machines and Big Data Analytics

An emerging consensus in cognitive science views the biological brain as a hierarchically-organized predictive processing system. This is a system in which higher-order regions are continuously attempting to predict the activity of lower-order regions at a variety of (increasingly abstract) spatial and temporal scales. The brain is thus revealed as a hierarchical prediction machine that is constantly engaged in the effort to predict the flow of information originating from the sensory surfaces. Such a view seems to afford a great deal of explanatory leverage when it comes to a broad swathe of seemingly disparate psychological phenomena (e.g., learning, memory, perception, action, emotion, planning, reason, imagination, and conscious experience). In the most positive case, the predictive processing story seems to provide our first glimpse at what a unified (computationally-tractable and neurobiological plausible) account of human psychology might look like. This obviously marks out one reason why such models should be the focus of current empirical and theoretical attention. Another reason, however, is rooted in the potential of such models to advance the current state-of-the-art in machine intelligence and machine learning. Interestingly, the vision of the brain as a hierarchical prediction machine is one that establishes contact with work that goes under the heading of 'deep learning'. Deep learning systems thus often attempt to make use of predictive processing schemes and (increasingly abstract) generative models as a means of supporting the analysis of large data sets. But are such computational systems sufficient (by themselves) to provide a route to general human-level analytic capabilities? I will argue that they are not and that closer attention to a broader range of forces and factors (many of which are not confined to the neural realm) may be required to understand what it is that gives human cognition its distinctive (and largely unique) flavour. The vision that emerges is one of 'homomimetic deep learning systems', systems that situate a hierarchically-organized predictive processing core within a larger nexus of developmental, behavioural, symbolic, technological and social influences. Relative to that vision, I suggest that we should see the Web as a form of 'cognitive ecology', one that is as much involved with the transformation of machine intelligence as it is with the progressive reshaping of our own cognitive capabilities.