Literaturnachweis - Detailanzeige
| Autor/inn/en | Fischbach, Sarah; Zarzosa, Jennifer |
|---|---|
| Titel | Big Data on a Smaller Scale: A Social Media Analytics Assignment |
| Quelle | In: Journal of Education for Business, 93 (2018) 3, S.142-148 (7 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 0883-2323 |
| DOI | 10.1080/08832323.2018.1433123 |
| Schlagwörter | Social Media; Assignments; Data Analysis; Content Analysis; Research Methodology; Student Research; Experiential Learning; Web 2.0 Technologies; Questionnaires; Student Surveys; Student Satisfaction; Business Administration Education; Marketing; Teaching Methods |
| Abstract | It is truly important for students to understand how to monitor online marketing buzz. This assignment, social media analytics, utilizes the content analysis research method to build student's in-depth understanding on how to evaluate and interpret user-generated content (UGC) to create social media campaigns. The authors adapted Resnik and Stern's (1977) coding scheme for UGC. Through experiential learning, students immerse themselves in data and analyze UGC. The assignment scored high in knowledge acquisition as a pedagogical tool. Finally, the authors provide an updated social media analytics coding scheme, guidelines for instructors, student rubric information, and student learning outcomes. (As Provided). |
| Anmerkungen | Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2020/1/01 |
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