A Framework of Contextualized Teaching and Learning: Assisting Developmental Education Instructors

Contextualization in Developmental Education (DE) classrooms is often recommended but underutilized. The Framework of Contextualized Teaching and Learning is based upon existing research and theory in the field. It will help instructors create contextualized lessons and provide researchers a framework for categorizing studies on contextualization

Study on behavioral impedance for route planning techniques from the pedestrian's perspective: Part I - Theoretical contextualization and taxonomy

The interest of researchers for analyzing of best routes and shortest paths allows a continuous technological advance in topological analysis techniques used in the geographic information systems for transportation. One of the topological analysis techniques is the route planning, in which the constraint management must be considered. There have been few studies where the constraint domain for pedestrian in an urban transportation system was clearly stated. Consequently, more studies need to be carried out. The aim of this paper is to provide a theoretical contextualization on identification and management of constraints to ascertain the behavioral impedance domain from the pedestrian perspective. In this part of the research the grounded theory was the research method used to develop the proposed theory. A meta-model was used to (1) define the behavioral domain structure, (2) hold the behavioral data collection and (3) verify the design of the proposed taxonomic tree. The main contribution of this article is the behavioral domain taxonomy from the pedestrian perspective, which will be used to implement a module responsible for the constraint management of an experimental application, named Router. Within this context, the proposed taxonomy could be used to model cost functions more precisely.Postprint (published version

Contextualizing Citations for Scientific Summarization using Word Embeddings and Domain Knowledge

Citation texts are sometimes not very informative or in some cases inaccurate by themselves; they need the appropriate context from the referenced paper to reflect its exact contributions. To address this problem, we propose an unsupervised model that uses distributed representation of words as well as domain knowledge to extract the appropriate context from the reference paper. Evaluation results show the effectiveness of our model by significantly outperforming the state-of-the-art. We furthermore demonstrate how an effective contextualization method results in improving citation-based summarization of the scientific articles.Comment: SIGIR 201

Going Deeper with Semantics: Video Activity Interpretation using Semantic Contextualization

A deeper understanding of video activities extends beyond recognition of underlying concepts such as actions and objects: constructing deep semantic representations requires reasoning about the semantic relationships among these concepts, often beyond what is directly observed in the data. To this end, we propose an energy minimization framework that leverages large-scale commonsense knowledge bases, such as ConceptNet, to provide contextual cues to establish semantic relationships among entities directly hypothesized from video signal. We mathematically express this using the language of Grenander's canonical pattern generator theory. We show that the use of prior encoded commonsense knowledge alleviate the need for large annotated training datasets and help tackle imbalance in training through prior knowledge. Using three different publicly available datasets - Charades, Microsoft Visual Description Corpus and Breakfast Actions datasets, we show that the proposed model can generate video interpretations whose quality is better than those reported by state-of-the-art approaches, which have substantial training needs. Through extensive experiments, we show that the use of commonsense knowledge from ConceptNet allows the proposed approach to handle various challenges such as training data imbalance, weak features, and complex semantic relationships and visual scenes.Comment: Accepted to WACV 201

Micro-strategies of Contextualization Cross-national Transfer of Socially Responsible Investment

This paper examines how individuals select and mobilize local institutions when they transfer business practices across societies that are construed as dissimilar to one another. We investigate empirically how the American business practice of socially responsible investment (SRI) was transferred to France and Quebec. Our analysis identifies five micro-strategies that were employed to contextualize SRI, namely filtering, rerouting, stowing, defusing, and coupling. This repertoire of micro-strategies extends previous research on contextualization, translation, and institutional transfers and links them to one another. They may also help explain why some transfers succeed while others fail.Contextualization; transfer; translation; institutional theory; socially responsible investment

Study on behavioral impedance for route planning techniques from the pedestrian's perspective: some findings and considerations

The multi-disciplinary characteristics of transportation force a new design of geographic information systems, within which these characteristics are considered. In this context, geographic information systems for transportation are the result of the integration of transportation information systems and conventional geographic information systems. An interesting research area in geographic information systems for transportation is constraint management in route planning algorithms from the pedestrian s perspective. Constraint management becomes more complex when route planning takes into account an integrated public transportation network (i.e. a multimodal network). A study on the theoretical contextualization and taxonomy of a pedestrian s behavioral impedance has been developed in order to improve the constraint management from the pedestrian s perspective. This study entails strategies of travel reduction by private transport (e.g. travel by car) through switching to or substitution by alternative public transport (e.g. travel by walk, bus or rail). The grounded theory method has been used to develop the proposed taxonomy. Using the partial results of a questionnaire applied to a reduced group of people from Barcelona as a starting point, important data are being collected to define the mathematical model of the behavioral impedance domain. The goal of this paper is to provide some considerations about theoretical contextualization on identification and management of constraints regarding the behavioral impedance domain from the pedestrian s perspective within the urban public transportation context. The research project where this work is included is composed of six major phases. The first phase represents a continuous bibliographic review. The second phase was a study on sidewalks in the university zone of Barcelona. In this phase, an experimental application has been proposed and the management, map and route modules have been implemented on the ArcInfo GIS package and C++. This paper reports the partial work of the third phase, which is composed of two parts. The first part was a theoretical study on behavioral impedance for route planning techniques, in which taxonomy was proposed. The results of the second part are partially presented in this paper. The fourth (i.e. design and implementation), fifth (i.e. calibration and validation) and sixth (i.e. generalization of the results) phases are characterized by the application of the prototype regarding the multimodal network model for urban public transportation from the pedestrian s perspective. The main contribution of this article is the behavioral impedance taxonomy review from the pedestrian s perspective, which will allow designing a mathematical model and be used to implement a constraint management algorithm. Within this context, the proposed taxonomy could be used to model cost functions more precisely.Postprint (published version