Literaturnachweis - Detailanzeige
| Autor/in | Radhakrishnan, Madhubala |
|---|---|
| Titel | Personalized Mobile Learning and Course Recommendation System |
| Quelle | In: International Journal of Mobile and Blended Learning, 13 (2021) 1, S.38-48, Artikel 3 (11 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1941-8647 |
| DOI | 10.4018/IJMBL.2021010103 |
| Schlagwörter | Telecommunications; Handheld Devices; Educational Technology; Technology Uses in Education; Course Selection (Students); Student Interests; Resource Units; Preferences; Cognitive Style; Course Content; Student Characteristics; Prediction; Value Judgment; Student Needs |
| Abstract | Mobile-based learning provides new experience to the learners to learn anything from anywhere and anytime by using their portable or mobile device. Vast educational contents and also different media formats can be supported by the mobile devices. Access speed of those materials has also improved a lot. With this advancement, providing required content or materials in the desired format to the learner is essential to the learning management system. Also, it is very important to guide the learner based on their interest in learning. With this outset, the proposed mobile learning system helps the learners to access different courses under different levels and different specializations. The course contents are in different formats called learning objects (LO). In order to provide personalized learning experience to the learner, the system finds the learner's preferences and selects the desired learning objects. It also recommends some specializations with level to the learners to achieve higher grades. (As Provided). |
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| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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