This research paper explains how increasing and improving practitioners’ knowledge of the importance and value of speech, language and communication skills contributes to advancement of educational, social and emotional competences; focus was on development for children in the Early Years. Proposed is the necessity to embed speech, language and communication development in practice, and the provision of a language and communication rich environment is considered a key strategy to influencing progress. The paper describes a research project that was subsequently evaluated using a multiple-method approach to afford a comprehensive analysis of findings. Outcomes were to highlight necessity for improvement of knowledge of less experienced practitioners, and added reinforcement for those who were relatively proficient; further, it was suggested that effective mentoring was required to maintain wide-ranging and continual growth of practitioners’ expertise. Development of confidence in subject knowledge was also essential in providing a child-initiated approach to learning; this, it claims, would enhance the fostering of a learning community which would place greater importance on the requirement for enhancement of speech, language and communication skills.
Werdende Eltern haben die quälende Wahl: Franz wie der Großvater oder Ronaldo wie der Fußballstar? Die Namenssuche fällt den Paaren immer schwerer. Informatiker der Universität Würzburg unterstützen Paare auf der Suche nach dem perfekten Namen jetzt mit einer Internetplattform, die helfen soll, den richtigen Namen für den Nachwuchs zu finden.
Kaggle is a platform for data prediction competitions. Companies, organizations and researchers post their data and have it scrutinized by the world's best statisticians.
Our main goal is to provide you with data because you know what you want to do with it. Still, we give some information regarding typical MIR tasks below. We hope to provide snippets of code and benchmarks results to help you getting started. If you want to provide additional information / link to your code / new results / new tasks, please send us an email! We also try to maintain an informal list of publications that use the dataset.
Platform for sharing and evaluation of intelligent algorithms. Data mining data, experiments, datasets, performance analysis, data repository, challenges. Research and applications, prediction. Data mining and machine learning
In the INSEMTIVES game challenge we are looking for colorful, innovative ideas with a twist for new “games with a purpose”. The purpose, of course, is primarily the creation of useful semantic content.
Following a successful first edition, we are pleased to announce the 2nd edition of the Large Scale Hierarchical Text Classification (LSHTC) Pascal Challenge. The LSHTC Challenge is a hierarchical text classification competition, using large datasets. This year’s challenge will increase the scale and the difficulty of the task, using data from Wikipedia (www.wikipedia.org), in addition to the ODP Web directory data (www.dmoz.org).
J. Yamagishi, T. Nose, H. Zen, T. Toda, und K. Tokuda. Proceedings of the 2008 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seite 3957-3960. Las Vegas, NV, USA, (März 2008)
R. Jäschke, A. Hotho, F. Mitzlaff, und G. Stumme. Recommender Systems for the Social Web, Volume 32 von Intelligent Systems Reference Library, Springer, Berlin/Heidelberg, (2012)