Naslov
Identifying Reading Styles from E-book Log Data

Autori
Botički, Ivica ; Ogata, Hiroaki ; Tomiek, Karla ; Akcapinar, Gokhan ; Flanagan, Brendan ; Majumdar, Rwitajit ; Hasnine, Nehal

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 27th International Conference on Computers in Education / - , 2019, 312-317

Skup
27th International Conference on Computers in Education

Mjesto i datum
Kenting, Tajvan, 02.12.2019. - 06.12.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Reading styles ; log data ; user modelling ; e-books

Sažetak
In this paper, a model for identifying e-book reading style is proposed and applied onto a learning log dataset. Learning log data available as non-structured data source is processed to identify patterns of reading exhibited by users using three main structures: reading sessions, reads and passages. These structures are used to extract information on users’ reading style to be used as part of user modeling process. The proposed model is applied on a set of log data generated by university students during one semester of digital resource use. The findings show students adopt predominantly receptive reading style, while responsive style occurs rarely. Further analysis revealed no significant relationships between reading style variables and student academic success for the Architecture course indicating the variables of responsive and receptive reading bring new information as part of user modeling.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA