DocumentCode
1604673
Title
Psychometric and Evidentiary Approaches to Simulation Assessment in Packet Tracer Software
Author
Frezzo, Dennis C. ; Behrens, John T. ; Mislevy, Robert J. ; West, Patti ; DiCerbo, Kristen E.
Author_Institution
Cisco
fYear
2009
Firstpage
555
Lastpage
560
Abstract
Packet Tracer is a comprehensive instructional software application for teaching skills and concepts associated with computer networking. In addition to a wide range of simulation, visualization, and micro-world authoring features to support student-centered exploration, explanation and experimentation, Packet Tracer includes features for assessment task authoring with automated scoring and reporting. This paper provides a theoretical explanation for these features following the approach of evidence centered design (ECD) and discusses implications for future extension. It is argued that the four process model for assessment delivery provides a number of valuable features that allow for conceptual and computational extension into improved simulation-based assessment, as well as gaming and tutoring.
Keywords
authoring systems; computer aided instruction; computer networks; computer science education; data visualisation; graphical user interfaces; psychology; teaching; Packet Tracer software; automated reporting; automated scoring; computer networking skill teaching; evidence centered design; evidentiary approach; gaming technology; icon-based interface; instructional software application; microworld assessment authoring interface; psychometric approach; simulation-based assessment; visualization feature; Application software; Buildings; Collaboration; Computational modeling; Computer aided instruction; Computer networks; Computer simulation; Education; Psychology; Visualization; Evidence Centered Design; Packet Tracer Software; assessment; gaming; simulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Networking and Services, 2009. ICNS '09. Fifth International Conference on
Conference_Location
Valencia
Print_ISBN
978-1-4244-3688-0
Electronic_ISBN
978-0-7695-3586-9
Type
conf
DOI
10.1109/ICNS.2009.89
Filename
4976818
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