The purpose of this single-case study was to explore the lived experiences of a grade 6 teacher and students who used tablets as part of their classroom instruction. Malone and Lepper’s taxonomy of intrinsic motivations for learning is used as a framework for examining whether and how this particular theory of motivation applies equally well for mobile learning. This study reports on the grade ...

Humans demonstrate remarkable capabilities to use a variety of grasp strategies for a given object depending on the context of the task often referred to as grasp affordances in dexterous hands. The interplay among the nervous system, the morphology of the human hand, and the properties of the object to demonstrate these advanced grasp affordance skills are not well understood yet. A key hypoth...

LearningVillages (LV) is an online game-based virtual learning environment. It aims at facilitating elementary students to pursue social inquiry learning and hence attain collaborative knowledge building (CKB). LV operates in the form of massively multi-player online role-play gaming. Different villages in this “virtual world” represent different societal issues. To embark on the development of...

Localizing functional regions of objects or affordances is an important aspect of scene understanding. In this work, we cast the problem of affordance segmentation as that of semantic image segmentation. In order to explore various levels of supervision, we introduce a pixelannotated affordance dataset of 3090 images containing 9916 object instances with rich contextual information in terms of ...

We propose a new way to describe affordances for action. Previous characterizations of affordances treat action possibilities as binary categories-either possible or impossible-separated by a critical point. Here, we show that affordances are probabilistic functions, thus accounting for variability in motor performance. By measuring an affordance function, researchers can describe the likelihoo...

In the past decade, significant progress has been made in autonomous driving, and many novel computer vision methods have been proposed for vision-based autonomous driving. To date, most of these systems can be categorized into two major paradigms: mediated perception approaches and behavior reflex approaches. Mediated perception approaches [7] involve multiple sub-components for recognizing dr...

Expressive AI is a hybrid practice, combining artificial intelligence (AI) research and art making, that simultaneously focuses on the negotiation of meaning mediated by an art object and the internal structure of AI systems. These two apparently disparate views are unified through the concept of affordance: negotiation of meaning is conditioned by interpretive affordances while the internal st...

Big Data as pervasive, disruptive, and innovation-driven technology are now a hot topic in academic and business fields. In particular, the healthcare industry is one of those most exposed to the organizational changes produced by the Big Data and Born Digital Data phenomena. Healthcare organizations have to adapt their organizations to manage an ever increasing amount of data affecting their a...

Smart objects are a representation strategy for games and virtual worlds, in which information about object interactions is distributed into the objects themselves: an object knows how it can be used, what kinds of effects it has, etc. In this work, we describe a prototype that aims to explore social simulation using smart objects. We extend the concept of smart objects to include a model of hu...

Article history: Received 19 June 2014 Received in revised form 19 December 2014 Accepted 23 December 2014 Available online 29 March 2015 This study explores the conceptual framing work of a group of upper secondary students as they first collaborate to understand a particular science museum exhibit, and then relate aspects of the exhibit to a larger scientific principle. The task involved prod...