Multiple criteria performance evaluation of YouTube mathematical educational videos by IS-TOPSIS

Claudia Margarita Acuña-Soto (), Vicente Liern () and Blanca Pérez-Gladish ()
Additional contact information
Claudia Margarita Acuña-Soto: CINVESTAV - Instituto Politécnico Nacional
Vicente Liern: Universidad de Valencia
Blanca Pérez-Gladish: Universidad de Oviedo

Operational Research, 2020, vol. 20, issue 4, No 4, 2017-2039

Abstract: Abstract In this work, a TOPSIS-based approach is proposed based on the idea of ideal similarity. It considers the ideal solution not necessarily related to the optimum values of the decision criteria, but to any values between the minimum and maximum values of the criteria ranges. The proposed method allows the consideration of one or several decision makers; different types of data (single numerical values, intervals or linguistic variables); different normalization functions describing the importance given by the decision makers to the deviation of alternatives from the ideal solution and different weighting schemes. The procedure also allows the decision maker to decide how much information about the intervals he is willing to take into account (e.g. the expected value, the extremes of the interval or the entire set of values in the intervals). In order to illustrate the practical applicability of the approach we include a real example consisting of the ranking of mathematical educational videos based on six didactical dimensions. The rating of educational videos is of great interest for educators due to their high popularity in Internet, especially in platforms as You Tube which has become one of the most used sources of information nowadays.

Keywords: MCDM; TOPSIS; Normalization; Ideal; Educational videos; Didactical performance (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://link.springer.com/10.1007/s12351-018-0405-2 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:operea:v:20:y:2020:i:4:d:10.1007_s12351-018-0405-2

Ordering information: This journal article can be ordered from
https://www.springer ... search/journal/12351

DOI: 10.1007/s12351-018-0405-2

Access Statistics for this article

Operational Research is currently edited by Nikolaos F. Matsatsinis, John Psarras and Constantin Zopounidis

More articles in Operational Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().