Flexible Learning Spaces Evaluation Report

City University, London is tackling the challenge of ensuring the learning spaces provided are able to meet the anticipated increase in technology usage and prevalent pedagogies. There is no longer a standard classroom design that will achieve this goal and therefore it is imperative to pilot and explore a variety of flexible learning spaces. This report feeds back on an evaluation of two flexible learning space approaches piloted in the autumn term of 2012 as alternatives to traditional computer rooms laid out in rows with the lecturer positioned at the front. These approaches are: pop-up computers on circular tables in AG24A; and laptop lockers enabling staff to borrow laptops to use with students on node chairs in AG24B. Each of these approaches also supported the use of students’ own devices in learning spaces. These methods were evaluated using surveys, interviews and an open house forum. The report shares the findings and recommendations from this evaluation and future plans for learning spaces

Flexible virtual environments: Gamifying immersive learning

© Springer International Publishing AG 2017. The availability of Virtual Reality (VR) and Virtual Environment (VE) equipment - with the launch of domestic technologies such as the Oculus Rift, Microsoft Hololens and Sony Playstation VR) - offer new ways to enable interactive immersive experiences [16]. The opportunities these create in learning and training applications are immense: but create new challenges . Meanwhile, current virtual learning environments are typically web or app based technologies, sometimes perceived as having little value added from a user perspective beyond improved User Interfaces to access some content [6]. The challenge is how the human computer interaction features of such VE platforms may be used in education in a way that adds value, especially for computer mediated instruction. This paper will outline some of the issues, and opportunities, as well as some of the open questions about how such technologies can be used effectively in a higher education context, along with a proposed framework for embedding a learning engine within a virtual reality or environment system. Three-dimensional technologies: from work-walls, through CAVES to the latest headsets offer new ways to immerse users in computer generated environments. Immersive learning [1] is increasingly common in training applications, and is beginning to make inroads into formal education. The recent rise in such off-the-shelf technologies means that Augmented Learning becomes a realistic mainstream tool [13]. Much of this use is built in game environments using game engines, where these serious games provide learning effects as an intended consequence of playing

Development of flexible education systems for technology students : a thesis presented in partial fulfilment of the requirements for the degree of Master of Technology in Computer Systems Engineering at Massey University

The pressures on educational institutions to keep pace with the changes in educational theory and technology are growing rapidly. There is now more competition between education providers, especially in the tertiary and career training sectors, this has meant that students and industry is demanding more input into the education process. As a result a more flexible approach is being taken to the delivery of courses. This thesis describes the development and implementation of a flexible learning approach applied to technology related subjects. It addresses the work carried out in relation to a specific aspect of the Bachelor of Technology degree as taught at Massey University, Palmerston North, New Zealand. Issues have been addressed in educational programme design, material presentation, and a major focus for implementation has been computer mediated assessment mechanisms. A guide has been developed to assist the educator in increasingly applying flexibility to subjects undertaken within the Bachelor of Technology degree reflecting the specific needs of the New Zealand industrial and educational sectors. Key words: Flexible education, flexible learning, computer mediated education, computer assisted learning, computer simulation is assessment, computerised marking, computer mediated assessment

Inclusion and online learning opportunities: Designing for accessibility

Higher education institutions worldwide are adopting flexible learning methods and online technologies which increase the potential for widening the learning community to include people for whom participation may previously have been difficult or impossible. The development of courseware that is accessible, flexible and informative can benefit not only people with special needs, but such courseware provides a better educational experience for all students

Developmental constraints on learning artificial grammars with fixed, flexible and free word order

Human learning, although highly flexible and efficient, is constrained in ways that facilitate or impede the acquisition of certain systems of information. Some such constraints, active during infancy and childhood, have been proposed to account for the apparent ease with which typically developing children acquire language. In a series of experiments, we investigated the role of developmental constraints on learning artificial grammars with a distinction between shorter and relatively frequent words (‘function words,’ F-words) and longer and less frequent words (‘content words,’ C-words). We constructed 4 finite-state grammars, in which the order of F-words, relative to C-words, was either fixed (F-words always occupied the same positions in a string), flexible (every F-word always followed a C-word), or free. We exposed adults (N = 84) and kindergarten children (N = 100) to strings from each of these artificial grammars, and we assessed their ability to recognize strings with the same structure, but a different vocabulary. Adults were better at recognizing strings when regularities were available (i.e., fixed and flexible order grammars), while children were better at recognizing strings from the grammars consistent with the attested distribution of function and content words in natural languages (i.e., flexible and free order grammars). These results provide evidence for a link between developmental constraints on learning and linguistic typology

Supporting the attainment of professional attributes in a work based learning programme

With the impending change in the higher education landscape within the UK there is a greater need for flexibility and innovation in the delivery of degree programmes. One flexible and innovative form of programme delivery is the work based learning platform. Additional academic guidance is imperative for students undertaking a work based learning programme due to the flexible nature of the programme. However in providing this academic guidance and support it places additional demands upon both tutor and student. Hence creative approaches which alleviate these demands are required to facilitate conversations between tutor and student as well as that from student to tutor. This paper will describe the current approaches used and how these demands are particularly important within the context of the personalised nature of work based learning. The contrasting characteristics with classroom based teaching will be highlighted. In particular this will include the authenticity and those factors which relate to the strong ownership of the context by the student within this mode of learning

Learning flexible representations of stochastic processes on graphs

Graph convolutional networks adapt the architecture of convolutional neural networks to learn rich representations of data supported on arbitrary graphs by replacing the convolution operations of convolutional neural networks with graph-dependent linear operations. However, these graph-dependent linear operations are developed for scalar functions supported on undirected graphs. We propose a class of linear operations for stochastic (time-varying) processes on directed (or undirected) graphs to be used in graph convolutional networks. We propose a parameterization of such linear operations using functional calculus to achieve arbitrarily low learning complexity. The proposed approach is shown to model richer behaviors and display greater flexibility in learning representations than product graph methods