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Computational Analyses of the Effects of a Structure Strategy on College-Level Summaries: Cohesion and Rhetorical Structure


Sladoljev-Agejev, Tamara; Šnajder, Jan; Kolić- Vehovec, Svjetlana
Computational Analyses of the Effects of a Structure Strategy on College-Level Summaries: Cohesion and Rhetorical Structure // The 8th International Conference on Writing Analytics: Academic Writing in Digital Contexts: Analytics, Tools, Mediality
Winterthur, Švicarska, 2019. (predavanje, međunarodna recenzija, pp prezentacija, znanstveni)


Naslov
Computational Analyses of the Effects of a Structure Strategy on College-Level Summaries: Cohesion and Rhetorical Structure

Autori
Sladoljev-Agejev, Tamara ; Šnajder, Jan ; Kolić- Vehovec, Svjetlana

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, pp prezentacija, znanstveni

Skup
The 8th International Conference on Writing Analytics: Academic Writing in Digital Contexts: Analytics, Tools, Mediality

Mjesto i datum
Winterthur, Švicarska, 5.-6. rujna, 2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Reading strategies ; computational analysis ; summary writing ; cohesion ; rhetorical-structure
(Reading strategies ; computational analysis ; summary writing ; cohesion ; rhetorical structure)

Sažetak
Summary writing is a useful strategy for developing reading and writing. This particularly applies to college-level assignments in a foreign language which may be demanding both conceptually and language-wise. Text management may then be facilitated by structure strategies leading to more coherent summaries with clearer rhetorical structure, more cohesion, and better text organisation. We present the analyses of summaries written by over 100 junior business students in a quasi-experimental research study which investigated the effects of a structure strategy on the quality of summaries (e.g. coherence, cohesion) written in English as a foreign language. Positive effects were found using Coh-Metrix for measuring cohesion (Graesser et al., 2004 ; McNamara and Graesser, 2012) and a tool based on Penn Discourse Treebank (Prasad et al., 2004) for the rhetorical structure (Šnajder, Sladoljev-Agejev & Kolić-Vehovec, 2019).

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo, Filologija, Kognitivna znanost (prirodne, tehničke, biomedicina i zdravstvo, društvene i humanističke znanosti)



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike i računarstva, Zagreb,
Ekonomski fakultet, Zagreb,
Filozofski fakultet, Zagreb