We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Southeast Asian Short-Burst Parameters for Autonomous Mobile Learning: One Step toward Automated Situated MALL.
- Authors
Byrne, Jason Richard
- Abstract
The aim of the study was to investigate the duration of short-burst autonomous MALL app usage in Southeast Asia. In doing so, it opens the door to informal situated learning activity with greater designed purpose through a contextualized meaning laden connection to the Internet of Things (IoT) and blockchain. The research made use of one year of data from eight language learning apps. The data was collected using Google Analytics focusing on nine countries in Southeast Asia; Cambodia, Indonesia, Laos, Malaysia, Myanmar, Philippines, Singapore, Thailand, and Vietnam. The results suggested an initial starting point for short-burst autonomous mobile IoT activity in Southeast Asia. The tasks should probably be between seventy and ninety seconds in duration and users can anticipate undertaking two or three tasks per session. The conclusions drawn from the research are that short-burst autonomous activity could work with IoT and blockchain, and as the technologies develop and become more ever-present, it will be possible to test the potential for micro-environmental situational analysis of individual self-study situated learning contexts.
- Subjects
SOUTHEAST Asia; MOBILE learning; INTERNET of things; INTERNET access; NONFORMAL education; BLOCKCHAINS
- Publication
Ubiquitous Learning: An International Journal, 2020, Vol 13, Issue 2, p31
- ISSN
1835-9795
- Publication type
Article
- DOI
10.18848/1835-9795/CGP/v13i02/31-42