Literaturnachweis - Detailanzeige
| Autor/inn/en | Pérez-Paredes, Pascual; Ordoñana Guillamón, Carlos; Vyver, Julie van de; Meurice, Alice; Aguado Jiménez, Pilar; Conole, Grainne; Sánchez Hernández, Purificación |
|---|---|
| Titel | Mobile data-driven language learning: Affordances and learners' perception. |
| Quelle | In: System : an international journal of educational technology and applied linguistics, (2019) 84, S. 145-159 |
| Beigaben | Anhang; Abbildungen 8; Tabellen 2 |
| Sprache | englisch |
| Dokumenttyp | gedruckt; Zeitschriftenaufsatz |
| ISSN | 0346-251X |
| Schlagwörter | Empirische Forschung; Einstellung (Psy); Lernen; Lernprozess; Korpusanalyse; Mobilität |
| Abstract | Data-driven learning (DDL) is a learner-focused approach which promotes language learners' discovery of linguistic patterns of use and meaning by examining extensive samples of attested uses of language. Despite the emergence of mobile-assisted language learning (MALL) and its affordances, i.e. individualization and personalization, the potential of DDL in this context has not been widely explored. This study involved the creation of a mobile language learning app based on freely available natural language processing (NLP) tools, followed by a test of the app to gather the attitudes and perceptions of several groups of language learners across Europe. The results suggest a generally positive evaluation of DDL's instant and personalized feedback and direct access to a variety of tools. Besides, suggestions for improvement were made concerning the design of the tasks, such as the addition of further built-in tools and adaptations to hardware constraints. Analyses also showed a need for specialized learner training, so as to grasp the potential of the feedback provided. This study may be construed as a first step towards creating more fleshed-out tools and further investigating the potential of combining DDL and MALL. (Verlag). |
| Erfasst von | Informationszentrum für Fremdsprachenforschung, Marburg |
| Update | 2022/2 |
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