ERIC Number: EJ972238
Record Type: Journal
Publication Date: 2012-Nov
Pages: 15
Abstractor: As Provided
Reference Count: 0
ISBN: N/A
ISSN: ISSN-0360-1315
A LEGO Mindstorms NXT Approach for Teaching at Data Acquisition, Control Systems Engineering and Real-Time Systems Undergraduate Courses
Cruz-Martin, A.; Fernandez-Madrigal, J. A.; Galindo, C.; Gonzalez-Jimenez, J.; Stockmans-Daou, C.; Blanco-Claraco, J. L.
Computers & Education, v59 n3 p974-988 Nov 2012
LEGO Mindstorms NXT robots are being increasingly used in undergraduate courses, mostly in robotics-related subjects. But other engineering topics, like the ones found in data acquisition, control and real-time subjects, also have difficult concepts that can be well understood only with good lab exercises. Such exercises require physical educational tools that should be low cost, easy to configure and use, multi-purpose and motivational for the students, being all of this hard to achieve with a single device. The "classical" solution has been to acquire specific commercial kits for each subject, or even topic, usually proprietary and expensive. Our work extends the already existing alternative of using the LEGO Mindstorms NXT robots as a training platform, but not by imitating the same approach of commercial kits (e.g., to isolate some part of the robot for teaching a particular topic); we rather aim at accomplishing all the mentioned requirements "simultaneously." For that purpose, we have used only one out-of-the-box, complete robot configuration, to be shared among different subjects without hardware/software/firmware modifications. This has reduced significantly the effort of a group of professors when preparing exercises, and encouraged the reuse of their work among several topics and subjects. Also, we have collected a number of surveys on students and the professors' experiences. In this paper we describe our approach and present in detail the results, which assess the higher motivational adequacy of using a complete robot in these subjects and also the real fulfillment of the other requirements along several academic years. (Contains 10 tables and 5 figures.)
Descriptors: Engineering, Robotics, Undergraduate Study, Surveys, Higher Education, Engineering Education, Laboratory Experiments, Science Education, Faculty
Elsevier. 6277 Sea Harbor Drive, Orlando, FL 32887-4800. Tel: 877-839-7126; Tel: 407-345-4020; Fax: 407-363-1354; e-mail: usjcs@elsevier.com; Web site: http://www.elsevier.com
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers: N/A

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