ANALYZING COGNITIVE PRESENCE IN ONLINE COURSES USING AN ARTIFICIAL NEURAL NETWORK

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" ANALYZING COGNITIVE PRESENCE IN ONLINE COURSES USING AN ARTIFICIAL NEURAL NETWORK "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	149776
Doc. No	:	ET21568
Main Entry	:	Thomas E. McKlin
Title Proper	:	ANALYZING COGNITIVE PRESENCE IN ONLINE COURSES USING AN ARTIFICIAL NEURAL NETWORK
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	This work outlines the theoretical underpinnings, method, results, andimplications for constructing a discussion list analysis tool that categorizes online,educational discussion list messages into levels of cognitive effort.PurposeThe purpose of such a tool is to provide evaluative feedback to instructors whofacilitate online learning, to researchers studying computer-supported collaborativelearning, and to administrators interested in correlating objective measures of studentsبcognitive effort with other measures of student success. This work connects computerتsupported collaborative learning, content analysis, and artificial intelligence.MethodBroadly, the method employed is a content analysis in which the data from theanalysis is modeled using artificial neural network (ANN) software. A group of humancoders categorized online discussion list messages, and inter-rater reliability wascalculated among them. That reliability figure serves as a measuring stick fordetermining how well the ANN categorizes the same messages that the group of humantested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL44742.pdf
Title and statement of responsibility and	:	ANALYZING COGNITIVE PRESENCE IN ONLINE COURSES USING AN ARTIFICIAL NEURAL NETWORK [Thesis]