The word “nerd” has been applied to those of a particularly scholarly or bookish disposition. (Generally, it’s not used in a complimentary fashion. It’s also been the name of a candy – but that’s another story altogether.) Perhaps ‘nerd-i-ness’ will get a better reputation from it being the appellation of a new item: the Nano-Electro-Robotic Device (NERD) – a robotic germ! It’s a different slant, and it comes from the University of Illinois-Chicago.
“The research is the latest entry in the first generation of bio-electromechanical devices designed to combine living organism with nonliving technology to conduct research and solve a variety of different problems by using miniature machines too small for the naked eye to see.”
Ankara University: Event support for: Artificial Intelligence and Computer Vision Days; 2-3 May
Bogazici University: Event support for EXIT 15; 9-12 April
Expo Information Technology will gather university students from all over
Turkey, to inform them about computer science, information technologies and latest
technological innovations while creating a network of people who are interested in the same
goal. During 4 days of EXIT’15, many panels, symposiums, company visits, workshops and a
hackathon are going to be held. IBM Turkey office is also one of those offices that we will visit
and have two seminars of “IBM Watson” and “Cloud computing and Bluemix platform”.
University of North Texas: Event support for creating podcasts;
We are creating a forum for people to share their experiences and ideas. By doing so, our community of
listeners will gain experience and knowledge in a variety of subjects.
Massive Open Online Courses (MOOCs) (such as EdX and Coursera) have initiated a revolution in higher education by providing opportunities for interested students to learn from the comfort of their individual locations at their desired pace. However, an important and highly successful aspect of traditional classroom education, which is modulating content delivery based on understanding real-time student feedback, is conspicuously missing in such e-learning environments.While existing e-learning environments provide a basic technology framework, the personalization of such environments with human-in-the-loop feedback is still missing. This project, e-DRIShTI, aims to bridge this gap by developing a system for automatic recognition of students’ engagement levels during e-learning sessions, using advanced computer vision and machine learning methods.
Considering the ubiquitous presence of cameras in consumer devices such as tablets and laptops, it is possible now to develop a system that can detect and recognize student engagement levels from the face images captured by the camera during the e-learning sessions. Such a system has several applications towards smarter, personalized e-learning environments: (i) it can allow for content to be modified based on a student’s engagement level; (ii) it can be used as feedback for curriculum development; (iii) it can potentially be used as a diagnostic for early detection of learning disabilities; and (iv) it can be stored and archived as part of students’ learning portfolios which can later be mined or analyzed for providing feedback to the students. In general, this project can lead to a more concerted, larger effort on automatically obtaining real-time student feedback – including other states such as confusion, boredom, excitement and interest – towards an effective personalized e-learning experience.