Search results for "Context"
showing 10 items of 6304 documents
The School Programme: A Key Link between Contextual Influence and School Development
2018
ABSTRACTThis paper is designed to contribute to the discussion on how to conceptualise and study contextual influence in local school development. We propose a theoretical framework and an empirical illustration to supplement former research on rural school research. Focusing on what the school perceives as important in its community may explain why schools are different, based on the concept that the place where the school is located has its own expectation structures. This interaction between school and place creates the concept of the school programme, representing the role of teacher expectations within the school and the teachers’ encounter with the expectation structures of the specif…
Riflettere in gruppo come pratica emancipativa
2021
Un percorso di consapevolezza legato ad una pratica auto-osservativa e autoriflessiva all’interno del proprio contesto di lavoro è di grande importanza per la formazione personale e per un apprendimento organizzativo; implica infatti, la comprensione dei processi cognitivi individuali, organizzativi o istituzionali in cui si è immersi e costituisce uno spazio indispensabile perchè avvengano degli “apprendimenti di secondo livello”. Ciò comporta lavorare sul piano dei significati, non solo con quelli espliciti propri e altrui, ma anche con le premesse che danno origine a prassi comuni e condivise . Fondamentale in questo senso è la dimensione di gruppo perché consente di adottare una logica …
Exception-Tolerant Hierarchical Knowledge Bases for Forward Model Learning
2021
This article provides an overview of the recently proposed forward model approximation framework for learning games of the general video game artificial intelligence (GVGAI) framework. In contrast to other general game-playing algorithms, the proposed agent model does not need a full description of the game but can learn the game's rules by observing game state transitions. Based on hierarchical knowledge bases, the forward model can be learned and revised during game-play, improving the accuracy of the agent's state predictions over time. This allows the application of simulation-based search algorithms and belief revision techniques to previously unknown settings. We show that the propose…
RecomMetz: A context-aware knowledge-based mobile recommender system for movie showtimes
2015
Abstract Recommender systems are used to provide filtered information from a large amount of elements. They provide personalized recommendations on products or services to users. The recommendations are intended to provide interesting elements to users. Recommender systems can be developed using different techniques and algorithms where the selection of these techniques depends on the area in which they will be applied. This paper proposes a recommender system in the leisure domain, specifically in the movie showtimes domain. The system proposed is called RecomMetz, and it is a context-aware mobile recommender system based on Semantic Web technologies. In detail, a domain ontology primarily…
Less is More! Preliminary Evaluation of Multi-Functional Document-Based Online Learning Environment
2019
This work-in-progress paper in innovative practice category presents and evaluates a multi-functional document-based learning management system, TIM (The Interactive Material). This system is developed with the goal of integrating a rich set of features seamlessly into teachers’ every-day pedagogical and disciplinary needs. The aim is that a single system (“Less”) would provide all technological solutions necessary for online teaching and learning (“More”), hence the punchline “Less is More!” We illustrate the system and evaluate it based on feedback from teachers. This preliminary evaluation focuses on how teachers reacted to the multi-functional system and is discussed in the context of T…
The Shape of Interoperability: Reviewing and Characterizing a Central Area within eGovernment Research
2012
Interoperability has been discussed and studied for more than a decade. While early discussions were very conceptual, interoperability is increasingly seen as one of the key enablers of the promised benefits from eGovernment. Consequently, and not surprisingly, a considerable amount of research has been published related to interoperability. However, a conceptual model of the interoperability domain is currently missing. We thus propose such a model based on an extensive review of a subset of the eGovernment literature published in highly ranked information systems, public administration and eGovernment journals. The model outlines and discusses actors, activities, contextual factors, effec…
Determinants to the Use of Business Process Modeling
2010
This article addresses a theoretical gap in the BPM literature on factors that influence the acceptance of process modeling (PM) in organizations. Literature review on PM and 34 qualitative interviews were combined into a PM acceptance model and empirically tested with data from 74 companies showing that PM is to a large extent a mandated activity, explaining the missing link between PM attitudes on PM intention. The study extends the TAM and the TPB to the context of process modeling and demonstrates that less studied socio-political factors in addition to awareness of PM are important to understand PM acceptance. The findings show that social influence from different stakeholder reference…
Tool Support for Model Driven Development of Pervasive Systems
2007
This work presents the PervML Generative Tool (PervGT) that supports a model driven method for the development of pervasive services in ubiquitous environments. The tool, which is based on the Eclipse platform, provides facilities for the graphical description of pervasive systems using PervML, a UML-like modeling language. Once the pervasive system is specified, the PervML model is used as input to a transformation engine that generates source code and other implementation assets. This generated code extends an OSGi-based framework in order to build the final pervasive applications
Towards a Non-Intrusive Context-Aware Speech Quality Model
2020
Understanding how humans judge perceived speech quality while interacting through Voice over Internet Protocol (VoIP) applications in real-time is essential to build a robust and accurate speech quality prediction model. Speech quality is degraded in the presence of background noise reducing the Quality of Experience (QoE). Speech Enhancement (SE) algorithms can improve speech quality in noisy environments. The publicly available NOIZEUS speech corpus contains speech in environmental background noise babble, car, street, and train at two Signal-to-noise ratio (SNRs) 5dB and 10dB. Objective Speech Quality Metrics (OSQM) are used to monitor and measure speech quality for VoIP applications. Th…
Perspectives on Cluster Evolution: Critical Review and Future Research Issues
2015
The past two decades have witnessed an ever-growing scholarly interest in regional clusters. The focus of research has mainly been on why clusters exist and what characteristics “functioning” clusters hold. Although the interest in more dynamic views on clusters is not new, in recent years, however, more attention has been paid to providing better explanations of how clusters change and develop over time, giving rise to an increasing popularity of different variants of the cluster life cycle approach. This article offers a critical review of various cluster life cycle models. We discuss the key ideas and arguments put forward by their main protagonists and we identify several shortcomings –…