Literaturnachweis - Detailanzeige
| Autor/inn/en | Lin, Jiayin; Sun, Geng; Beydoun, Ghassan; Li, Li |
|---|---|
| Titel | Applying Machine Translation and Language Modelling Strategies for the Recommendation Task of Micro Learning Service |
| Quelle | In: Educational Technology & Society, 25 (2022) 1, S.205-212 (8 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1436-4522 |
| Schlagwörter | Translation; Natural Language Processing; Informal Education; Online Courses; Computer Software; Educational Resources; Teaching Methods; Intelligent Tutoring Systems; Computational Linguistics |
| Abstract | A newly emerged micro learning service offers a flexible formal, informal, or non-formal online learning opportunity to worldwide users with different backgrounds in real-time. With the assist of big data technology and cloud computing service, online learners can access tremendous fine-grained learning resources through micro learning service. However, big data also causes serious information overload during online learning activities. Hence, an intelligent recommender system is required to filter out not-suitable learning resources and pick the one that matches the learner's learning requirement and academic background. From the perspective of natural language processing (NLP), this study proposed a novel recommender system that utilises machine translation and language modelling. The proposed model aims to overcome the defects of conventional recommender systems and further enhance distinguish ability of the recommender system for different learning resources. (As Provided). |
| Anmerkungen | International Forum of Educational Technology & Society. Available from: National Yunlin University of Science and Technology. No. 123, Section 3, Daxue Road, Douliu City, Yunlin County, Taiwan 64002. e-mail: journal.ets@gmail.com; Web site: https://www.j-ets.net/ |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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