Not Quite C (English Wikipedia)

Analysis of information sources in references of the Wikipedia article "Not Quite C" in English language version.

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  • Lund, Henrik Hautop; Pagliarini, Luigi. "RoboCup Jr. with LEGO Mindstorms" (PDF). Proceedings of International Conference on Robotics and Automation (ICRA2000), New Jersey: IEEE Press, 2000. Retrieved 9 July 2013.

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  • "BrickLink Reference Catalog - Sets - Category Lego Mindstorms". www.bricklink.com. Retrieved 12 April 2021.

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  • "DSC03489.jpg". flickr.com. 20 November 2008. Archived from the original on 17 November 2016. Retrieved 4 April 2018.

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  • Kekoa Proudfoot (1999). "RCX Internals". mralligator.com. Archived from the original on 11 November 2018. Retrieved 14 December 2018.

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  • Erwin, Ben; Cyr, Martha; Rogers, Chris (2000). "Lego Engineer and RoboLab: Teaching Engineering with LabVIEW from Kindergarten to Graduate School" (PDF). International Journal of Engineering Education. 16 (3): 181–192. Archived (PDF) from the original on 23 September 2013. Retrieved 1 October 2013. For the past 6 years, faculty members at Tufts University have developed two different software packages between LabVIEW and Lego data acquisition systems. These packages allow us to teach engineering with both Lego bricks and LabVIEW to students from 5 to 50 years old. The versatility of the hardware and software allow a wide variety of possibilities in what students can build and program, from robots and remote sensing devices to kinetic sculptures. As students design and build their projects, they are motivated to learn the math and science needed to optimize their project. Both college students and kindergartners respond to this motivator. In the paper, we explain how we designed software to complement these projects in allowing automation and animation. The software uses LabVIEW, extending its capabilities to kindergartners and Lego bricks. Finally, we will show how we have used LabVIEW and Lego data acquisition to teach elementary school science, freshman engineering, instrumentation and experimentation, and how college seniors and graduate students have used both the hardware and software to solve various data acquisition problems

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