Learning is a life-long activity which neither begins nor ends with a learner’s time in formal educational environments. Many learners, however, have difficulty efficiently managing their own learning processes, and this includes knowledgably selecting effective learning materials, particularly in skill-focused areas such as within language learning. Increasingly, self-access centers and other non-traditional learning environments act as a bridge between formal education and opportunities for life-long learning. This paper details a mobile app called Peer Scan, including what it is, these needs it was developed to address, decisions in the development process, and how it can be used by learners in self-access learning environments to help them select appropriate learning materials. The design and development of the app is meant to alleviate some of the difficulties faced by students in self-access centers in Japan in selecting effective materials. The ongoing design seeks to eliminate friction and barriers to use to support uptake, harnessing augmented reality object recognition technology to do so. Peer Scan is designed to allow learners to both see peer assessments of materials as an immediate means of support, and also to implicitly develop useful inner criteria for material selection that can aid them later as life-long learners.
To cite this article: Edlin, C., & Bonner, E. (2018).Augmented reality and crowdsourced feedback to help learners navigate self-access materials. RelayJournal, 1(2), 429-440.
To link to this article: https://kuis.kandagaigo.ac.jp/relayjournal/issues/sep18/edlin_bonner/
