Pregled bibliografske jedinice broj: 954228
Measurement of Information Density in Educational Material Production
Measurement of Information Density in Educational Material Production // The Fourth National Conference on English Studies and Linguistics - Book of Abstracts
Ahwaz, 2018. str. 6-6 (predavanje, međunarodna recenzija, sažetak, znanstveni)
CROSBI ID: 954228 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Measurement of Information Density in Educational Material Production
Autori
Đokić, Kristian ; Vulić, Vesna
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni
Izvornik
The Fourth National Conference on English Studies and Linguistics - Book of Abstracts
/ - Ahwaz, 2018, 6-6
Skup
The Fourth National Conference on English Studies
Mjesto i datum
Ahvaz, Iran, 01.02.2018. - 02.02.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
information density, background subtraction, educational material production, foreign languages, LC4MP
Sažetak
Different kinds of media are used in foreign language learning methodology. One of the newest increasingly used media is a video clip. Main information in foreign language learning is transferred from the speaker to the listener by the sound wave but it is important to take care of the visual part of video clip because it should not demand too many cognitive resources. Scientists have to take this into consideration due to the constant growth of visual activity in video clips nowadays. Several authors have pointed out that direct consequence of the high information density in visual media causes viewer’s information overload which results in the fall of his cognitive skills. Lang introduced and empirically proved LC4MP model that defines a moment of information overload. However, the problem with this model is that only trained observers can analyze video clips. In this paper, the new automatic method for information density measuring has been presented. It is based on the computer vision algorithm used for background subtraction. Many background subtraction algorithms are available in various papers but in our method, Multilayer BGS algorithm has been used. Our method has been tested on two groups of 10 short video clips from two YouTube foreign language learning channels. The difference between the two video clip groups is easily discernible by anyone and it is also statistically significant. This significant difference is proved by the data obtained from the proposed method. Our method can be used for information density measuring under the condition that some researches related to defining limits of acceptable visual activity are conducted first.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti