Adapting pervasive learning technologies to machine vision course

dc.contributor.author	Thai, CN	en
dc.date.accessioned	2014-06-06T06:46:13Z
dc.date.available	2014-06-06T06:46:13Z
dc.date.issued	2005	en
dc.identifier.issn	10693769	en
dc.identifier.uri	http://62.217.125.90/xmlui/handle/123456789/2848
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-25144508638&partnerID=40&md5=f604a15d57b607712baf88e28b433857	en
dc.subject.other	Learning software	en
dc.subject.other	Pervasive learning	en
dc.subject.other	Student feedback	en
dc.subject.other	Teachers	en
dc.subject.other	Computer software	en
dc.subject.other	Information technology	en
dc.subject.other	Students	en
dc.subject.other	Video conferencing	en
dc.subject.other	Computer vision	en
dc.title	Adapting pervasive learning technologies to machine vision course	en
heal.type	journalArticle	en
heal.publicationDate	2005	en
heal.abstract	An IT architecture suitable for teacher-centered active-learning approaches is proposed herein, using gigabit network and video conferencing equipment as well as network control and collaborative learning software. The chosen software approach supports interaction and collaboration features in the lecture delivery task, between teacher and students, as well as between students, within as well as outside of the classroom. This report describes the integration of two collaborative learning software packages ""NetSupport Manager"" and ""Silicon Chalk"" in the delivery of an Applied Machine Vision course whereas lecture, demonstration and laboratory activities are merged seamlessly. The system performance for a classroom having 12 student PCs and 1 teacher station is reported herein. This class was offered in Spring 04 but unfortunately no students enrolled for this class, thus we do not have student feedback on this instructional approach at this time.	en
heal.journalName	Computers in Education Journal	en
dc.identifier.issue	3	en
dc.identifier.volume	15	en
dc.identifier.spage	78	en
dc.identifier.epage	84	en