This is a new method of learning and studying material. Research concludes that it is the most effective way of learning. This method can be used by students for learning terms, quotes, events, dates.This can be used to better your education, your career and your life.
Presentation by Jill Vaughan and Lauren Gawne at the Australian Linguistics Society annual conference 2011.
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The impact of ICT on Primary schooling over the next nine years will result in educational changes in teacher pedagogies and student learning. By 2020, an appropriate teacher model will be developed to assist with such changes and their implications. With the development of Web 3.0, this new role will implement constructivist learning as a facilitator to the student-centred classroom. (Jonassen, Peck & Wilson, 1999). Additionally, Siemens (2004, p.4) predicts that Primary Education will be a technologically-rich digital environment, promoting the development of connectivism strategies in learning. This individualised design interrelates with the autonomous characteristics of technology and education, and as McCombs (1989, p. 277) suggests, leads to learning success and achieving meaningful goals for both student and teacher. Furthermore, the professional development of teachers will be considered an essential factor in using technology to improve learning. (Rodriguez, 2000). The teacher model of 2020 embodies several characteristics which are governed by the impact of ICT in Primary Education.
Conversations between people include a lot more than just words. All sorts of visual and aural cues indicate each party’s state of mind and make for a productive interaction.
But a furrowed brow, a gesticulating hand, and a beaming smile are all lost on computers. Now, researchers at MIT and Tufts are experimenting with a way for computers to gain a little insight into our inner world.
Their system, called Brainput, is designed to recognize when a person’s workload is excessive and then automatically modify a computer interface to make it easier. The researchers used a lightweight, portable brain monitoring technology, called functional near-infrared spectroscopy (fNIRS), that determines when a person is multitasking. Analysis of the brain scan data was then fed into a system that adjusted the user’s workload at those times. A computing system with Brainput could, in other words, learn to give you a break.
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