Clustering Sequential Navigation Patterns in Multiple-Source Reading Tasks with Dynamic Time Warping Method

Autor/inn/en	He, Qiwei; Borgonovi, Francesca; Suárez-Álvarez, Javier
Titel	Clustering Sequential Navigation Patterns in Multiple-Source Reading Tasks with Dynamic Time Warping Method
Quelle	In: Journal of Computer Assisted Learning, 39 (2023) 3, S.719-736 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (He, Qiwei) ORCID (Borgonovi, Francesca) ORCID (Suárez-Álvarez, Javier)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0266-4909
DOI	10.1111/jcal.12748
Schlagwörter	Data Analysis; Reading Processes; Task Analysis; Time on Task; Reading Strategies; Navigation (Information Systems); Correlation; Achievement Tests; Foreign Countries; Secondary School Students; International Assessment; Reading Rate; Scores; Reading Achievement; Socioeconomic Status; Gender Differences; Reading Tests; Program for International Student Assessment + Suchen Sie Ihr Suchwort? Auswertung; Leseprozess; Aufgabenanalyse; Zeitaufwand; Reading strategy; Leselernstufe; Lesetechnik; Korrelation; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Ausland; Sekundarschüler; Reading readiness; Reading speed; Lesegeschwindigkeit; Leseleistung; Socio-economic status; Sozioökonomischer Status; Geschlechterkonflikt; Lesetest
Abstract	Background: Data-driven investigations of how students transit pages in digital reading tasks and how much time they spend on each transition allow mapping sequences of navigation behaviours into students' navigation reading strategies. Objectives: The purpose of this study is threefold: (1) to identify students' navigation patterns in multiple-source reading tasks using a sequence clustering approach; (2) to examine how students' navigation patterns are associated with their reading performance and socio-demographic characteristics; (3) to showcase how the navigation sequences could be clustered on the similarity measure by dynamic time warping (DTW) methods. Methods: This study draws on process data from a sample of 16,957 students from 69 countries participating in the PISA 2018 study to identify how students navigate through a multiple-source reading item. Students' navigation sequences were characterized by two indicators: the page sequence that tracks the page transition path and the time sequence that records the time duration on each visited page. K-medoid partitioning clustering analyses were conducted on pairwise distance similarity measures computed by the DTW method. Results and conclusions: Students' navigation patterns were found moderately associated with their reading proficiency levels. Students who visited all the pages and spent more time reading without rush transitions obtained the highest reading scores. Girls were more likely to achieve higher scores than boys when longer navigation sequences were used with shorter reading time on transited pages. Students who navigated only limited pages and spent shorter reading time were averagely at the lowest rank of socio-economic status. Implications: This study provides evidence for the exploration of students' navigation patterns and the examination of associations between navigation patterns and reading scores with the use of process data. (As Provided).
Anmerkungen	Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01