Literaturnachweis - Detailanzeige
Autor/inn/en | Jorge-Botana, Guillermo; Luzón, José M.; Gómez-Veiga, Isabel; Martín-Cordero, Jesús I. |
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Titel | Automated LSA Assessment of Summaries in Distance Education: Some Variables to Be Considered |
Quelle | In: Journal of Educational Computing Research, 52 (2015) 3, S.341-364 (24 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0735-6331 |
DOI | 10.1177/0735633115571930 |
Schlagwörter | Foreign Countries; Distance Education; Regression (Statistics); Plagiarism; Natural Language Processing; Semantics; Computational Linguistics; Rhetoric; Documentation; Undergraduate Students; Psychology; Correlation; Evaluators; Predictor Variables; Spain |
Abstract | A latent semantic analysis-based automated summary assessment is described; this automated system is applied to a real learning from text task in a Distance Education context. We comment on the use of automated content, plagiarism, text coherence measures, and word weights average and their impact on predicting human judges summary scoring. A first regression analysis showed the independence of interparagraph coherence with respect to superficial text variables, advising its inclusion in a general regression model, along with content, plagiarism measures. The final regression model explains a considerable degree of variability in human judgment of summaries. Finally, we discuss several methodological implications and further applications of the automated summary scoring technique developed in this study. (As Provided). |
Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |