Automating the Evaluation of Education Apps With App Store Data
| Autor: | Matthew Kearney, Marlo Haering, Didar Zowghi, Walid Maalej, Muneera Bano |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0806 Information Systems
1005 Communications Technologies 1303 Specialist Studies in Education Cooperative learning GeneralLiterature_INTRODUCTORYANDSURVEY Computer science education 02 engineering and technology App store Education Personalization Domain (software engineering) World Wide Web mental disorders 0202 electrical engineering electronic engineering information engineering Selection (linguistics) business.industry 4. Education 05 social sciences General Engineering 050301 education 020207 software engineering Automation Computer Science Applications Identification (information) Task analysis business 0503 education |
| Zdroj: | IEEE Transactions on Learning Technologies. 14:16-27 |
| ISSN: | 2372-0050 |
| DOI: | 10.1109/tlt.2021.3055121 |
| Popis: | 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 $\sim$ 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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