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Adapting Pervasive Learning Technologies To A Machine Vision Course
Author(s) -
Chi N. Thai
Publication year - 2020
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--13217
Subject(s) - computer science , class (philosophy) , pace , session (web analytics) , multimedia , active learning (machine learning) , collaborative learning , software , task (project management) , artificial intelligence , world wide web , engineering , knowledge management , geodesy , systems engineering , programming language , geography
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.

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