EconPapers    
Economics at your fingertips  
 

Statistics e-learning platforms evaluation: Case study

Taleb Ahmad and Wolfgang Karl Härdle

No 2008-058, SFB 649 Discussion Papers from Humboldt University Berlin, Collaborative Research Center 649: Economic Risk

Abstract: With the increase of e-learning by universities and educational institutes in the world through more electronic platforms, come the questions to researchers, educators and designers of electronic platforms about feasibility and using this method of learning. Are we achieving the desired goals and improving the quality of education? Are we improving their performance and ability to self-study without the need for a teacher? Is e-learning an effective and successful method from the students views? In this paper, we consider evaluate e-learning systems in statistics. We make an evaluation study, we analyze a students sample of the methods: Factor analysis, Logit model. The common aim of this evaluation is to provide data to justify the results or evidence to support that the e-learning platforms are helping the students to learn more effectively. The questionnaire covers information about e-learning evaluation criterias. Some of these criterias are: Navigability, applicability, instructional structure and interactivity.

Keywords: E-learning; evaluation; statistical software (search for similar items in EconPapers)
JEL-codes: C19 I21 (search for similar items in EconPapers)
Date: 2008
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/25301/1/584573308.PDF (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:sfb649:sfb649dp2008-058

Access Statistics for this paper

More papers in SFB 649 Discussion Papers from Humboldt University Berlin, Collaborative Research Center 649: Economic Risk Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().

 
Page updated 2025-03-24
Handle: RePEc:zbw:sfb649:sfb649dp2008-058