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Exploring AppInventory, a visual catalog of applications for assisting teachers and students

  • Marco Corbatto
  • Antonina DattoloEmail author
Article

Abstract

We are witnessing a meaningful transformation of teaching and learning practices and widespread experimentation of new didactic methodologies. The availability of a huge amount of contents and learning objects on the Web is progressively transforming traditional learning design activity of teachers. However, the Web also offers another great opportunity in helping teachers adopt student centred methodologies: the availability of hundreds of Web 2.0 and mobile applications for creating and sharing digital artefacts. If incorporated into daily teaching and learning activities, they can improve the collaborative, cognitive and creative work of the students, enhancing and redefining traditional educational practices. Nevertheless, although these applications are generally easy to find and use, there is a lack of knowledge about their existence, their functions and their potential in an educational setting. In this paper we present AppInventory, a Web platform which enables teachers (and students) to visually browse through a catalog of 271 apps, semantically organized in a multi-dimensional, purpose-based taxonomy. Users can explore the catalog following personal associative paths; assign ratings, and leave comments.

Keywords

Web 2.0 applications repository App 2.0 taxonomy Multimedia design and development for smart e-learning Innovative smart teaching and learning technologies Multimedia for user engagement and motivation in education Visual organizers Semantic knowledge structures 

Notes

Acknowledgements

We would like to thank all students that enthusiastically participated to this project and have contributed in different ways to the birth of this catalog. We have reported all their names on a dedicated page http://appinventory.uniud.it/en/about-us/ of the AppInventory site, hoping not to have forgotten anyone. We would like also thank Professor Alessandra Pallavicini for your support in proofreading.

This work has been partially supported by the project SMARTLAND, financed by the University of Udine (2017-19).

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.SASWEB Research Lab - Department of Mathematics, Computer Science and PhysicsUniversity of UdineGoriziaItaly

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