Towards Designing m-Learning Systems for Maximal Likelihood of Acceptance
|
|
| Audience/Grade: | College Freshman-College Senior |
| Discipline(s): |
Computer Engineering Computer Science Electrical Engineering Engineering Education Research General Engineering, Engineering Science Information Systems Information Technology Mobile Learning |
| Special Topic(s): | |
| Learning Resource Type: |
Reference - Educational Research Paper |
| Media Type: |
Audio |
| Author(s): |
ALEXEI TRETIAKOV |
| Description: | Published in Int. J. Engng Ed. Vol. 24, No. 1, pp. pp. 74±78, 2008. Part of special issue in IJEE on Mobile Technologies in Engineering Education (II). Abstract: "So far, in the field of m-learning the issue of technology acceptance has been largely overlooked. We apply the Technology Acceptance Model to consider the requirements for a generic m-learning system that would maximize the likelihood of its acceptance, and conclude that such a system should rely on the existing infrastructure and mobile device ownership. We back this conclusion by conducting a survey on m-learning acceptance targeted at educators and by developing a system prototype and evaluating it in a simulated classroom environment. The results speak in favour of introducing low cost, low maintenance m-learning systems targeting average, budget conscious educational institutions, with SMS technology being the most appropriate technology under present conditions." |
| Rating: |
|
| Related Resources | |
| Keywords: | technology acceptance; mobile learning |
| Is Component of: |
Mobile Technologies in Engineering Education (II) |
| Usage Tip | |
| Related ABET Criteria: |
(c) Design a system, component, or process |
| Intervention(s): |
Use of Educational Technologies |
| Use of Resource: |
Conclusions: "Most of the existing work on creating systems for m-learning concentrates either on applying advanced technology to support very narrowly defined educational objectives [5,6], or on wideranging, highly expensive systems that require high technical expertise to support them [7,8]. While systems following either approach may have merits as educational tools once they are accepted, neither of them is designed to facilitate acceptance, and in average educational institutions both are likely to face significant opposition. We apply the Technology Acceptance Model to consider the requirements for a generic m-learning system that would maximize the likelihood of its acceptance and conclude that such a system should rely on the existing infrastructure and mobile device ownership, with SMS technology being the most appropriate technology under present conditions. We back this conclusion by evidence from a survey on m-learning acceptance targeted at educators, which demonstrates feasibility, and gauge acceptance by the learners by developing a system prototype and evaluating it in a simulated classroom environment. Overall, the results speak in favour of introducing low cost, low maintenance m-learning systems targeting average, budget conscious educational institutions, that would rely on the most common technology available, rather than on the most advanced technology available." |
| Difficulty: |
Medium |
| Interactivity Level: |
Very low |
| Version Info | |
| Publication Date: | January 2008 |
| Platform/Format: |
Cross Platform |
| Cost: |
Not free |
| Download URL: | http://www.ijee.dit.ie/latestissues/Vol24-1/s12_ijee2018.pdf |
| Metadata: |
IEEE LOM Record |
| Collection: |
International Journal of Engineering Education
|
