AODM as a framework and model for characterising learner experiences with technology

The task of characterising learner experiences with technology is increasingly becoming complex due to continuous technological advancements that enable learners to connect, collaborate, generate educational resources and promptly share them in various settings. The challenge for the educator is to understand how to effectively capture and represent learners’ current and future experiences with technology. This paper presents ‘Activity-Oriented Design Method’ (AODM) as a framework and model for characterising personalised and contextualised learner experiences with technology. The objective is to show how AODM can be used to understand learner experiences by examining learner practices with technology and interactions with each other. The aim is to assess the significance and adequacy of AODM as a framework and model that contributes to future understanding of learner experiences with technology. In order to support our arguments, we draw practical insights from two studies that applied AODM to e-learning investigations. The outcome of this analysis is an assessment of the capacity of AODM as a model and framework for characterising both current and future learner experiences with technology. Furthermore, the analysis illuminates the processes of change that inform the design and use of future technologies for learning

Context Aware Computing for The Internet of Things: A Survey

As we are moving towards the Internet of Things (IoT), the number of sensors deployed around the world is growing at a rapid pace. Market research has shown a significant growth of sensor deployments over the past decade and has predicted a significant increment of the growth rate in the future. These sensors continuously generate enormous amounts of data. However, in order to add value to raw sensor data we need to understand it. Collection, modelling, reasoning, and distribution of context in relation to sensor data plays critical role in this challenge. Context-aware computing has proven to be successful in understanding sensor data. In this paper, we survey context awareness from an IoT perspective. We present the necessary background by introducing the IoT paradigm and context-aware fundamentals at the beginning. Then we provide an in-depth analysis of context life cycle. We evaluate a subset of projects (50) which represent the majority of research and commercial solutions proposed in the field of context-aware computing conducted over the last decade (2001-2011) based on our own taxonomy. Finally, based on our evaluation, we highlight the lessons to be learnt from the past and some possible directions for future research. The survey addresses a broad range of techniques, methods, models, functionalities, systems, applications, and middleware solutions related to context awareness and IoT. Our goal is not only to analyse, compare and consolidate past research work but also to appreciate their findings and discuss their applicability towards the IoT.Comment: IEEE Communications Surveys & Tutorials Journal, 201

Using tablets for e-assessment of project-based learning

Technology is confirmed to be an effective tool for assessment and feedback, in particular for computer-assisted assessment (Irons, 2008; Challis, 2005), producing feedback (Heinrich et al., 2009) and publishing feedback (Bloxham and Boyd, 2007; Denton, 2003; Denton et al., 2008). The arrival of affordable mobile devices has introduced a new means for enhancing the above practices (Fabian and MacLean, 2014; Plimmer and Mason, 2006; Salem, 2013). Student preferences to smart phones and tablet devices steer the technological innovation towards ubiquitous mobile connectivity. Inspired by the benefits of such life and study style, educators have started exploring the use of these technologies. Tablet computers prove to become their preferred choice as they resolve some of the limitations associated with the design, readability and comprehensiveness of the feedback for mobile devices with smaller screens (Strain-Seymour, 2013, Rootman-le Grange and Lutz, 2013). This paper reports how tablets and the Form Connext mobile app have been used for engaging a sample of 300 Business Studies students in in-class online assessment and designing and providing timely comprehensive feedback. The study has followed an action research strategy that is grounded on a continuous and dynamic process of reflection (Carr and Kemmis, 2003) on the effectiveness of assessment of student projects documented electronically through wikis and electronic portfolios. It refines the use of tablets for summative and formative assessment of the project-based learning tasks through three review cycles, each of which incorporated a Reflection and Improvements stage. The experience resulted in enhancement of assessment strategies and contribution to the development of contemporary models of learning through effective assessment and feedback (Carr and Kemmis, 2003). The results of the work confirm that tablet computers are an effective tool in assessing e-materials in larger classes for two primary reasons. Firstly, design of e-forms facilitates rigorous process of reflection and understanding assessment criteria that in turn benefit students when preparing for the assessment. Hence, legible and detailed feedback is produced anytime anywhere with synchronous updates within the marking team. Secondly, students benefit from immediate comprehensive feedback allowing them to reflect on and improve their understanding of subject matters, as well as to engage in discussing specific details of the work that are captured through the form. An unexpected outcome was the enhanced reputation and respect to the tutors amongst students, the triggering of student curiosity and enthusiasm in applying similar approach to their own work. The diffusion for the practice amongst other units and identifying other purposes for which the mobile app could be used are also seen as achievements exceeding the expectations of the project team