A Mobile Application for Taking Notes Based on Cornell Technique
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Tarih
2024
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Notetaking is considered, by many educators, as one of the critical actions of learning. There are several note-taking methods and approaches. Based on these methods and approaches, various applications, whether mobile, desktop or -Web-based, were developed. In this paper, a novel note-taking application based on a technique, known as Cornell Technique, is presented. For the software development process, Incremental Model was adopted. Requirement Analysis included, aside from examining principles and related note-taking structure of Cornell Technique, investigating (i) how to perform notetaking as an activity of learning, (ii) its product and (iii) relationship of notes for the purpose of storage. Models containing sub-activities, such as reviewing note have been identified and some were selectively adopted and related functions such as review alert (tickler) and collaboration on notetaking have been implemented. To the purpose of storage, a tree-based scheme called collection was modelled. User interfaces were first designed as mockups and click-through prototype using Adobe XD. The mobile application was implemented in Dart programming language. Google’s Flutter Framework was adopted to have flexibility in UI development. The application has been published in Google Play Store for users to install for free. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.
Açıklama
5th EAI International Conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023 -- 2023-04-28 through 2023-04-29 -- Leicester -- 308409
Anahtar Kelimeler
Cornell Technique, mobile application, Notetaking
Kaynak
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
WoS Q Değeri
Scopus Q Değeri
Q4
Cilt
532 LNICST
