Mr. Lepine’s Technology Blog

TechnologyWe noticed some missing or incomplete information. One other spotlight was playtesting a Research Strategies Sport, which was developed by the Centre for Excellence in Studying & Instructing at Manchester Metropolitan College. The sport is designed to show students about different research methods, and requires you to work in pairs to design analysis methods for a fictional analysis challenge. I didn’t really know something about theoretical views or epistemologies earlier than enjoying (!), so I discovered it very useful and it definitely gave me a great understanding of the theories concerned. The New York Occasions is publishing its journalists’ tweetstorms in its print edition. Giving additional and more everlasting life to Twitter commentary is a clever move that can help unfold and protect such correspondence that would in any other case be simply neglected. It’s a approach that manufacturers might think about as well.

Through the first meeting, the wonderful special training instructor shared the results of the implementation of a recommendation I made within the AT Evaluation she had acquired two days earlier. (She is that good; she needed to strive it BEFORE we discussed the recommendations in the IEP crew assembly!) The scholar struggles with pencil management, letter and quantity formation and infrequently dictates to a scribe. He completed half the mathematics worksheet utilizing pencil (putting random numbers in right order). The result was illegible and incorrect. She then gave the student the shared classroom iPad, as she had put in SnapType He took an image of the worksheet, cropped it, added text containers and appropriately completed the rest of the worksheet. It was beautiful and APPROPRIATE. Eradicating the issue with quantity formation diminished the COGNITIVE LOAD and the student accomplished it ACCURATELY! Not only that, he did not want any prompts, one thing he needed consistently to complete his work.

Like most transitions, in some unspecified time in the future a leap is needed. In our case in BVSD, that leap is to the Chromebook, a device that permits for learning to occur anywhere and at anytime. Within the transfer to the fashionable world of the cloud, BVSD has purchased an intensive set of educational technology software program that is cloud-based – powerful instruments like Google Earth, WeVideo, BrainPop, Voicethread and G Suite (Google Apps) for Training to call a number of. BVSD is exploring digital content material resources accessible from firms like Discovery Training that could probably substitute the physical textbooks that many of our courses still require. As well as, there are many free open-access assets, like Khan Academy, that may start some of this work now.

TELFest 2017 has come to an end, ending with one other day of enjoyable demonstrations and classes as attendees bought their last style of the College’s know-how enhanced studying festival. Nanotechnology is changing the way in which mechanical engineers work by opening up the opportunity of manufacturing units on the molecular and atomic stage for custom functions. These units, which are designed to scale back weight, volume and energy calls for, carry the additional advantage of better sustainability. For the work in BVSD, it is heartening to listen to that our own students are working to supply the shift to cloud-primarily based purposes and sources. My previous weblog detailed the move in BVSD to units that want these sorts of assets. Andrea’s story, as well as the continued help from our academic neighborhood to work on this collectively, demonstrates that we are heading in the right direction.

CONCERNING THE SPEAKER: Bryan Catanzaro is VP of Utilized Deep Studying Research at NVIDIA, where he leads a crew fixing problems in fields starting from video games to chip design utilizing deep learning. Prior to his current function at NVIDIA, he labored at Baidu to create subsequent generation techniques for training and deploying end-to-end deep studying based speech recognition. Earlier than that, he was a researcher at NVIDIA, where he wrote the analysis prototype and drove the creation of CUDNN, the low-level library now used by most AI researchers and deep learning frameworks to train neural networks. Bryan earned his PhD from Berkeley, the place he constructed the Copperhead language and compiler, which allows Python programmers to use nested data parallel abstractions efficiently. He earned his MS and BS from Brigham Young University, the place he worked on pc arithmetic for FPGAs.

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