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Evaluating Real-time Online Research Data (RORD) and Verbatim Quotient Detection (VQD): Low Inference Tools to Monitor Outcomes of Unconstrained Authentic Internet Research
Kerkrade, The Netherlands July 05-July 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICALT.2006.162Sixth IEEE International Conference o ...
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Nasiroh Omar, Colin Higgins, Colin Harrison, Diego Campo Millan, "Evaluating Real-time Online Research Data (RORD) and Verbatim Quotient Detection (VQD): Low Inference Tools to Monitor Outcomes of Unconstrained Authentic Internet Research," Advanced Learning Technologies, IEEE International Conference on, pp. 502-506, Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICALT.2006.162,
author = {Nasiroh Omar and Colin Higgins and Colin Harrison and Diego Campo Millan},
title = {Evaluating Real-time Online Research Data (RORD) and Verbatim Quotient Detection (VQD): Low Inference Tools to Monitor Outcomes of Unconstrained Authentic Internet Research},
journal ={Advanced Learning Technologies, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2632-2},
pages = {502-506},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICALT.2006.162},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Learning Technologies, IEEE International Conference on
TI - Evaluating Real-time Online Research Data (RORD) and Verbatim Quotient Detection (VQD): Low Inference Tools to Monitor Outcomes of Unconstrained Authentic Internet Research
SN - 0-7695-2632-2
SP502
EP506
A1 - Nasiroh Omar,
A1 - Colin Higgins,
A1 - Colin Harrison,
A1 - Diego Campo Millan,
PY - 2006
KW - null
VL - 0
JA - Advanced Learning Technologies, IEEE International Conference on
ER -
 
Nasiroh Omar, University of Nottingham, UK
Colin Higgins, University of Nottingham, UK
Colin Harrison, University of Nottingham, UK
Diego Campo Millan, University of Nottingham, UK
This research evaluated a prototype Internet research support system based on earlier work defining online reading and a model of online reading behavior. The prototype system is embedded with Realtime Online Research Data (to capture the participants? online reading processes and written output) and Verbatim Quotient Detection (to monitor the proportion of verbatim material copied from Internet sources into a final essay). Fifty-seven undergraduate students and one faculty member participated in the experiment. Analysis of online reading activity using the real time data collection system and the verbatim detection tools demonstrated that even with limited time and a common task, when the whole Internet was available there was significant variation in participants? search strategies, search terms and research processes.
Citation:
Nasiroh Omar, Colin Higgins, Colin Harrison, Diego Campo Millan, "Evaluating Real-time Online Research Data (RORD) and Verbatim Quotient Detection (VQD): Low Inference Tools to Monitor Outcomes of Unconstrained Authentic Internet Research," icalt, pp.502-506, Sixth IEEE International Conference on Advanced Learning Technologies (ICALT'06), 2006
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