A Combined Algorithm for LMS Usage Assessment

Author

Valsamidis, Stavros ; Kontogiannis, Sotirios ; Karakos, Alexandros ; Kazanidis, Ioannis

Author_Institution

Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace, Xanthi, Greece

fYear

2011

fDate

Sept. 30 2011-Oct. 2 2011

Firstpage

358

Lastpage

362

Abstract

LMS are used more and more nowadays. There are some algorithms for LMS usage assessment. The main problem is that these algorithms are rarely combined. This gap can be filled by using S-Algo which combines ranking and suggestion results of two or more suggestion/ranking algorithms into an ultimate and efficient ranking suggestion. Such efficient ranking is based on ranking algorithms used and proposed metrics recorded course attributes. S-algo was applied to Open eClass LMS tracking data of an academic institution. In the context of course assessment from student logged data, two existing algorithms called SUGAL and CCA as ranking/suggestion algorithms were selected. Then, on the results provided from these algorithms, S-algo tested and confirmed the success of its ranking process.

Keywords

computer aided instruction; educational administrative data processing; educational courses; CCA; LMS usage assessment; S-Algo; SUGAL; academic institution; course assessment; open eClass LMS tracking data; ranking algorithms; suggestion algorithms; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Electronic learning; Indexes; Least squares approximation; Measurement; algorithms; course assessment; e-Learning;

fLanguage

English

Publisher

ieee

Conference_Titel

Informatics (PCI), 2011 15th Panhellenic Conference on

Conference_Location

Kastonia

Print_ISBN

978-1-61284-962-1

Type

conf

DOI

10.1109/PCI.2011.4

Filename

6065114