Robotics Enter Hybrid Instruction

By Dian Schaffhauser for Campus Technology:  A doctoral program at Michigan State University has begun experimenting with the use of robots to pull on-campus and off-campus students closer together in class. The Educational Psychology and Educational Technology (EPET) doctoral program focuses on the study of human learning and development and diverse technologies supporting learning and teaching. During a spring course in 2015 all but one student participated by being present in the form of an Apple iPad affixed to a swivel robot that was stationary; one student was on a robot that could move around the classroom.

As Christine Greenhow, the faculty member who led the seminar course, explained, the experiment was intended to expand beyond traditional Web presence of online students. "When you are using videoconferencing, it's very common to see all these different faces on the screen if you're here in the classroom and not really know where to look. It creates this distance between the speaker who's online and the speakers in the class," she said in a video about the project. "What if we could put online students in the classroom in a robot? How would their presence change?"  Cont'd...

Comments (0)

This post does not have any comments. Be the first to leave a comment below.


Post A Comment

You must be logged in before you can post a comment. Login now.

Featured Product

Machine vision software with new deep learning features: MVTec HALCON 19.11

Machine vision software with new deep learning features: MVTec HALCON 19.11

MVTec HALCON is the comprehensive standard software for machine vision with an integrated development environment that is used worldwide in all kind of industries. It enables cost savings and improved time to market. HALCON's flexible architecture facilitates rapid development of any kind of machine vision application. The software provides outstanding performance and a comprehensive support of multi-core platforms, special instruction sets like AVX2 and NEON, as well as GPU acceleration. The latest version HALCON 19.11 offers a wide range of new and improved machine vision functions. Particular emphasis was placed on the integration of further deep learning features. Now users benefit from massive simplifications for their applications, like faster inspection with anomaly detection, more transparency with the Grad-CAM heatmap and the support of ONNX format.