Ubiquitous computing technologies have traditionally striven to augment objects and the environment with sensing capabilities to enable them to respond appropriately to the needs of the individuals in the environment. This paper considers how such technologies might be harnessed to support language learning, and specifically Task-Based Learning (TBL).… (More)
This paper reports on the French Digital Kitchen, a design-based project which drew on digital sensor technology BLOCKINmanipulate BLOCKINnew BLOCKINvocabulary BLOCKINitems.
This paper analyzes career earnings profiles of men and women with degrees in science from one public university. A model of the male female earnings structure in professional occupations highlights the incompatibility of work norms and family responsibilities and the role of imperfect information and learning as employees are sorted into jobs according to… (More)
Our idea relates to the combination of emerging HCI technologies such as Virtual and Mixed Reality and an innovative Question and Answering (Q&A) system with already existing concepts of spatial learning and inquiry-based learning in education in order to evolve them to answer the needs of modern education. In the project we use the concept of the… (More)
We present the design, deployment and evaluation of three configurations of an online learning activity for would-be social innovators and activists, with the aim of understanding the factors that are critical to the design of an infrastructure to support such communities of learners. Our research was inspired and motivated by the example of SOLEs… (More)
Smart learning environments offer rich opportunities for language learners. In particular, context-aware systems which allow learners’ progress to be sensed within and across an activity, enable instructed language learning to move beyond the traditional confines of the classroom walls. In this paper we present the European Kitchen, a real-world task-based… (More)
This paper incorporates compassion into social preferences and tracks individuals' choices over ten allocation decisions, categorizing participants' behavior more precisely than previous work. Approximately two-thirds of participants exhibit consistent preferences in all ten exercises and other-regarding individuals are almost evenly split between inequity… (More)