Multi Languages :
What all needed is your willingness to learn & understand while we are teaching you the language of your choice & understanding.
Small Batch Size :
We have small batch size & big experienced faculty so that you can enrich yourself with a lot of goodness of foregin languages.
Innovative Studies :
India is a diversified culture with several languages but still we need to learn some more language in this growing economy. As the world is going global and different cultures & languages coming closer, so we need more multilingual to help understand the world better.
Career Possibilities :
We ensure the quality of education & expertise of our faculty in the languages to give you a good experience in you career.
TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
I chose this video because it highlights how technology can be used to differentiate instruction and of course assessment. I think this is one of the biggest areas where technology can be a game changer in terms of presenting material in different manners and allowing students to show their knowledge and application in different ways. The comments about day to day feedback and self assessment was a theme I found in several of the clips and articles.
This video looks at improving assessments so they don’t just measure learning but help create learning. It had some great examples of where folks go wrong and focuses on higher education where I preside. I enjoyed how it outlined better steps to lead to learning. Thinking about incorporating peer feedback as well as the need for good rubrics played in well to the greater themes.
New book unveils faculty-led effort to chart concepts and competencies students should learn in six academic disciplines, with plan to create standardized tests. Will faculty members warm to this version of "learning outcomes"?
Rikke Toft Nørgård, Assistant Professor at the Center for Teaching Development and Digital Media at Aarhus University in Denmark, practices something she calls "gelatinous pedagogy" in which she tries not to enforce a detailed curriculum from a fixed syllabus and rubric for all students but acts, in her words, "more like a jellyfish that's adjusting to the students, rather than making the students adjust to my teaching."
Fun site with links to articles on many learning theories including Piaget, Constructivism, Behavioralism, Brain Based Learning, Social Cognition, Emotional Inteligence, Social Learning Theory, and more.
Here's what INTE 4320/5320 Games and Learning is reading during the Spring 2016 semester. A few practical notes: The links below - to both websites and PDFs hosted through this blog - guide our social annotation via Hypothesis. Students and visitors alike are encouraged to use these links as the primary means of navigating to -…
Deep Learning has revolutionised Pattern Recognition and Machine Learning. It is about credit assignment in adaptive systems with long chains of potentially causal links between actions and consequences.
In this paper I identify some current elaborations on the theme of participation and digital literacy in order to open further debate on the relationship between interaction, collaboration and learning in online environments. Motivated by an interest in using new technologies in the context of formal learning (Merchant, 2009), I draw on in-school and out-of-school work in Web 2.0 spaces. This work is inflected by the new literacies approach (Lankshear & Knobel, 2006a). Here I provide an overview of the ways in which learning through participation is characterised by those adopting this and other related perspectives. I include a critical examination of the idea of “participatory” culture as articulated in the field of media studies, focusing particularly on the influential work of Jenkins (2006a; 2006b). In order to draw these threads together around conceptualizations of learning, I summarise ways in which participation is described in the literature on socially-situated cognition. This is used to generate some tentative suggestions about how learning and literacy in Web 2.0 spaces might be envisioned and how ideas about participation might inform curriculum planning and design.
What makes these findings so interesting are the implications for pedagogy. If teachers wish to maximise the power of tablets and mobile devices, they should create contexts in which students are encouraged to be proactive in their study,
Working in partnership with students is a sophisticated and effective way of developing student engagement and enhancing learning and teaching. Partnership with students is a central theme of the HEA’s work and cuts across our other key areas of assessment, employability, flexible pedagogies and retention and success. That's why we provide a range of tools and guidance to support student partnership development. Defining partnership
Play is the work of children — through play and interaction, children learn how to talk, listen, read, and write. Read about typical behaviors of emergent and beginning readers, and how each of these behaviors relate to reading and writing.
Looking at how teaching and learning needs to become more advance in terms of technology. We need to be addressing and creating our lessons using the technology that is readily available to us and that our students are using on a regular basis.
*from Abstract* Maybin, Janet; Mercer, Neil and Stierer, Barry (1992). 'Scaffolding': learning in the classroom. In: Norman, Kate ed. Thinking Voices: The work of the National Oracy Project. London: Hodder & Stoughton, pp. 186–195.
Y. Duan, L. Jiang, T. Qin, M. Zhou, und H. Shum. Proceedings of the 23rd International Conference on Computational Linguistics, Seite 295--303. Stroudsburg, PA, USA, Association for Computational Linguistics, (2010)
R. El-Yaniv, und D. Yanay. Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I, Seite 744--759. Berlin, Heidelberg, Springer Berlin Heidelberg, (2012)