Literaturnachweis - Detailanzeige
| Autor/inn/en | Horton, Nicholas J.; Chao, Jie; Palmer, Phebe; Finzer, William |
|---|---|
| Titel | How Learners Produce Data from Text in Classifying Clickbait |
| Quelle | In: Teaching Statistics: An International Journal for Teachers, 45 (2023), (11 Seiten)
PDF als Volltext |
| Zusatzinformation | ORCID (Horton, Nicholas J.) |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0141-982X |
| DOI | 10.1111/test.12339 |
| Schlagwörter | Undergraduate Students; Data Analysis; Learning Processes; Written Language; Electronic Publishing; Audience Response; Media Literacy; News Reporting; Classification; Computer Mediated Communication; Discourse Analysis |
| Abstract | Text provides a compelling example of unstructured data that can be used to motivate and explore classification problems. Challenges arise regarding the representation of features of text and student linkage between text representations as character strings and identification of features that embed connections with underlying phenomena. In order to observe how students reason with text data in scenarios designed to elicit certain aspects of the domain, we employed a task-based interview method using a structured protocol with six pairs of undergraduate students. Our goal was to shed light on students' understanding of text as data using a motivating task to classify headlines as "clickbait" or "news." Three types of features (function, content, and form) surfaced, the majority from the first scenario. Our analysis of the interviews indicates that this sequence of activities engaged the participants in thinking at both the human-perception level and the computer-extraction level and conceptualizing connections between them. (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 |
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