Activity Theory Approach to Developing Context-Aware Mobile Learning Systems for Understanding Scientific Phenomenon and Theories

Activity Theory Approach to Developing Context-Aware Mobile Learning Systems for Understanding Scientific Phenomenon and Theories

Lorna Uden, Gwo-Jen Hwang
Copyright: © 2013 |Pages: 15
DOI: 10.4018/ijdet.2013100103
OnDemand:
(Individual Articles)
Available
$37.50
Current Special Offers
No Current Special Offers
TOTAL SAVINGS: $37.50

Abstract

Mobile computing offers potential opportunities for students’ learning especially when it combines a sensing device such as RFID (Radio Frequency Identification). Researchers have indicated that a key feature of in-field learning supported by mobile devices and technology is context awareness, with which context and functionality provided by the learning system are adapted to the user’s situation. However, the design of context-aware mobile learning systems provides the authors with major challenges in terms of both defining use context as well as developing appropriate concepts relevant to the design of contextual information on the systems. Educators have highlighted the role of activity in science development and learning, implying that activity theory can be used to design a mobile learning environment. This paper presents the use of activity theory as a framework for describing the design of a context aware mobile learning application. A case study for the design of a mobile learning application for science learning is described using activity theory.
Article Preview
Top

Mobile Applications For Learning

In recent years, researchers have noticed the efficiency and popularity of mobile and sensor technologies. Several studies have been conducted to demonstrate the practice of those new technologies in supporting authentic learning (Chen, Kao, & Sheu 2003; Chen, Chang, & Wang 2008; Chu, Hwang, Huang & Wu 2008; Wu, Hwang, Tsai, Chen, & Huang, 2011).

Complete Article List

Search this Journal:
Reset
Volume 22: 1 Issue (2024)
Volume 21: 2 Issues (2023)
Volume 20: 4 Issues (2022): 1 Released, 3 Forthcoming
Volume 19: 4 Issues (2021)
Volume 18: 4 Issues (2020)
Volume 17: 4 Issues (2019)
Volume 16: 4 Issues (2018)
Volume 15: 4 Issues (2017)
Volume 14: 4 Issues (2016)
Volume 13: 4 Issues (2015)
Volume 12: 4 Issues (2014)
Volume 11: 4 Issues (2013)
Volume 10: 4 Issues (2012)
Volume 9: 4 Issues (2011)
Volume 8: 4 Issues (2010)
Volume 7: 4 Issues (2009)
Volume 6: 4 Issues (2008)
Volume 5: 4 Issues (2007)
Volume 4: 4 Issues (2006)
Volume 3: 4 Issues (2005)
Volume 2: 4 Issues (2004)
Volume 1: 4 Issues (2003)
View Complete Journal Contents Listing