Assessment of virtual spaces learning processes using state machines

Author

Capacho, Jose ; Mancilla, Alfonso ; Zurek, Eduardo E. ; Salazar, Addisson

Author_Institution

Dept. of Syst. Eng., Univ. del Norte, Barranquilla, Colombia

fYear

2013

fDate

22-25 Sept. 2013

Firstpage

178

Lastpage

183

Abstract

This paper presents an innovative methodology to assess student learning in virtual spaces using Deterministic Finite Automata (DFA). The methodology is supported on a model that integrates the DFA into the Blackboard platform. The DFA is based on Adaptive Systems (AS) and Learning Objects (LO). The AS and LO allow the students to adjust their learning rate through the DFA. The proposed methodology was implemented for a virtual course on “Algorithms and Complexity”. The implementation showed that there is a significant improvement in performance for students learning through the DFA.

Keywords

adaptive systems; computer aided instruction; computer science education; deterministic automata; educational courses; finite automata; finite state machines; virtual reality; AS; DFA; LO; adaptive systems; algorithms and complexity course; blackboard platform; deterministic finite automata; learning objects; learning rate; state machines; student learning assessment; virtual course; virtual spaces learning process assessment; Algorithm design and analysis; Complexity theory; Computers; Education; Learning automata; Monitoring; Navigation; adaptive systems; deterministic finite automata; learning assessment; learning objects; virtual learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics and Applications (ISIEA), 2013 IEEE Symposium on

Conference_Location

Kuching

Print_ISBN

978-1-4799-1124-0

Type

conf

DOI

10.1109/ISIEA.2013.6738990

Filename

6738990