Automating the Evaluation of Education Apps with App Store Data

Autor/inn/en	Haering, Marlo; Bano, Muneera; Zowghi, Didar; Kearney, Matthew; Maalej, Walid
Titel	Automating the Evaluation of Education Apps with App Store Data
Quelle	In: IEEE Transactions on Learning Technologies, 14 (2021) 1, S.16-27 (12 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Haering, Marlo) ORCID (Bano, Muneera) ORCID (Zowghi, Didar)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1939-1382
DOI	10.1109/TLT.2021.3055121
Schlagwörter	Automation; Courseware; Computer Software Evaluation; Computer Software Selection; Data Use; Natural Language Processing; Individualized Instruction; Authentic Learning; Cooperative Learning; Computer Software Reviews + Suchen Sie Ihr Suchwort? Lernsoftware; Softwareanalyse; Natürliche Sprache; Individualisierender Unterricht; Kooperatives Lernen
Abstract	With the vast number of apps and the complexity of their features, it is becoming challenging for teachers to select a suitable learning app for their courses. Several evaluation frameworks have been proposed in the literature to assist teachers with this selection. The iPAC framework is a well-established mobile learning framework highlighting the learners' experience of personalization, authenticity, and collaboration (iPAC). In this article, we introduce an approach to automate the identification and comparison of iPAC relevant apps. We experiment with natural language processing and machine learning techniques, using data from the app description and app reviews publicly available in app stores. We further empirically validate the keyword base of the iPAC framework based on the app users' language in app reviews. Our approach automatically identifies iPAC relevant apps with promising results ("F"1 score ~72%) and evaluates them similarly as domain experts (Spearman's rank correlation 0.54). We discuss how our findings can be useful for teachers, students, and app vendors. (As Provided).
Anmerkungen	Institute of Electrical and Electronics Engineers, Inc. 445 Hoes Lane, Piscataway, NJ 08854. Tel: 732-981-0060; Web site: http://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=4620076
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01