different solutions for: Cannot create JDBC driver of class...
Update: Tomcat's standard data source resource factory is org.apache.tomcat.dbcp.dbcp.BasicDataSourceFactory
This paper examines learning among museum staff involved in exhibition development in four European natural history museums. It draws upon a larger body of research undertaken for the Mirror project, a European Commission Framework Programme 5 Information
75 minutes. (February 25, 2011) Yvonne Rogers discusses how "designing in the wild" is causing a new rise in discoveries and a new direction in computer science. She ill...
The new context API that comes with React 16.3 is pretty neat. It was built in the render props style trending over these last months. Let’s explore it: This talk from the excellent Jing Chen has…
Context-aware computing refers to a general class of mobile systems that can sense their physical environment, i.e., their context of use, and adapt their behavior accordingly. Such systems are a component of a ubiquitous computing or pervasive computing environment. Three important aspects of context are: (1) where you are; (2) who you are with; and (3) what resources are nearby. Although location is a primary capability, location-aware does not necessarily capture things of interest that are mobile or changing. Context-aware in contrast is used more generally to include nearby people, devices, lighting, noise level, network availability, and even the social situation; e.g., whether you are with your family or a friend from school.
A context adaptive system typically enables the user to maintain a certain application (in different forms) while roaming between different wireless access technologies, locations, devices and even simultaneously executing everyday tasks like meetings, driving a car etc. For example a context adaptive and hence ubiquitous navigation system would offer navigation support in the situations at home, indoor, outdoor, and in car. This involves making the navigation functionality available for different availability of output devices, input devices and location sensors as well as adapting the user interaction operability to the current speed, noise or operator handicaps while keeping in mind the overall applicability depending on the user preferences, his knowledge, current task etc.[1]
Kontextadaption ist ein Begriff aus der Softwaretechnik, der verwendet wird, um technische Systeme zu bezeichnen, die ihre Struktur, Funktionalität oder Verhalten zur Laufzeit ändern können, um sich an unterschiedliche Umgebungsgegebenheiten zu richten.
Overview
The Context Toolkit aims at facilitating the development and deployment
of context-aware applications.
By context, we mean environmental information that is part of
an application's operating environment and that can be sensed by the application.
The Context Toolkit consists of context widgets and a distributed infrastructure
that hosts the widgets. Context widgets are software components
that provide applications with access to context information while hiding
the details of context sensing.
In the same way GUI widgets insulate applications from some presentation
concerns, context widgets insulate applications from context acquisition
concerns.
To summarize, the services of the Context Toolkit are:
encapsulation of sensors
access to context data through a network API
abstraction of context data through interpreters
sharing of context data through a distributed infrastructure
storage of context data, including history
basic access control for privacy protection
This paper describes a differing representation of the term scaffolding, with particular emphasis on spoken language as a tool to learning. Discussion examines difficulties faced by practitioners when transforming the theoretical aspects of scaffolding to more practical application, and in particular observes the value of involvement in the learning process. Discourse assesses how the child is led towards becoming an independent learner and how they subsequently reach a predetermined goal, set by the practitioner. It highlights therefore, the importance of evidence to support how scaffolding contributes towards increased competence, and examples provided demonstrate the transition from teacher support to that of independent problem solving. The paper concludes that the notion of scaffolding benefits greater understanding of both teaching and learning, which ultimately contributes to greater knowledge by the learner.
The MIRROR project explores the mirroring of the learning interactions of individuals within communities of practice (CoP) through the use of technologies. The specific context explored within the project is that of museum natural scientists.
This paper presents an approach to semi-automate photo annotation. Instead of using content-recognition techniques this approach leverages context information available at the scene of the photo such as time and location in combination with existing photo annotations to provide suggestions to the user. An algorithm exploits a number of technologies including Global Positioning System (GPS), Semantic Web, Web services and Online Social Networks, considering all information and making a best-eort attempt to suggest both people and places depicted in the photo. The user then selects which of the suggestions are correct to annotate the photo. This process accelerates the photo annotation process dramatically which in turn aids photo search for a wide range of query tools that currently trawl the millions of photos on the Web.
Professor of Learning Analytics at The Open University, Bart Rienties, has spent much of his career researching how data can improve teaching methods and have a positive impact on how students learn.
This article defines the original concept of scaffolding as defined by Bruner, related to the notion of ZPD in Vygotsky. The study gives examples of the role talk can play in scaffolding students' learning. Maybin et al caution the reader that many factors need to be considered when undertaking an analysis of scaffolding.
O. Barkan, T. Shaked, Y. Fuchs, and N. Koenigstein. User Modeling and User-Adapted Interaction, (Aug 1, 2023)This is how much you need to do if you have no user control options....
T. Eimer, A. Biedenkapp, F. Hutter, and M. Lindauer. Workshop on Inductive Biases, Invariances and Generalization in Reinforcement Learning (BIG@ICML'20), (July 2020)
J. Choi, A. Khlif, and E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), page 23--27. Online, Association for Computational Linguistics, (2020)
J. Choi, A. Khlif, and E. Epure. Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA), page 23--27. Online, Association for Computational Linguistics, (2020)
S. Medić, T. Mihalić, M. Hrženjak, and J. Groš. Zbornik radova: 19. hrvatska konferencija o kvaliteti i 10. znanstveni skup Hrvatskog društva za kvalitetu, (2019)
T. Dreyfus, C. Rasmussen, N. Apkarian, and M. Tabach. INDRUM 2018, (2018)"The complexity of knowledge flow in the classroom, even based on this one class session, is far greater than one might imagine. ".
A. Novotny, and C. Bauer. 19th International Conference on Information Integration and Web-based Applications & Services (iiWAS2017), page 301-310. New York, NY, USA, ACM, (December 2017)