The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of COMPUTERS AND COMMUNICATIONS
Transactions ID Number: 20-801
Full Name: Bekim Fetaji
Position: Associate Professor
Age: ON
Sex: Male
Address: Mladen simonovski 55b, Gostivar 1230
Country: MACEDONIA, FORMER YUGOSLAV REPUBLIC OF
Tel: 0038942214419
Tel prefix:
Fax: 0038944356000
E-mail address: b.fetaji@seeu.edu.mk
Other E-mails: b.fetaji@gmail.com
Title of the Paper: Assessing Effectiveness in Mobile Learning by Devising MLUAT (Mobile Learning Usability Attribute Testing) Methodology
Authors as they appear in the Paper: Bekim Fetaji, Mirlinda Ebibi, Majlinda Fetaji
Email addresses of all the authors: b.fetaji@seeu.edu.mk, m.ebibi@seeu.edu.mk, m.fetaji@seeu.edu.mk,
Number of paper pages: 10
Abstract: Mobile learning has been investigated from a range of perspectives, but there is little published research studies on usability of m-learning and its efficiency. Therefore investigated and analyzed the feasibility of m-learning by doing a review of published research in the past decade (2000 - 2010) analyzing successful m-learning projects and m-learning in general as well as realized analyses of advantages and the pitfalls and issues found. Based on this analyses provided are recommendations for improving m-learning in general. To have successful and efficient m-learning it is essential to devise and implement appropriate usability testing methodologies to evaluate the usability of mobile applications. The primary goal of this research study was to develop more efficient usability testing methodology that the authors called MLUAT (Mobile Learning Usability Attribute Testing) for m-learning and comparing its results with two other usability testing methods aimed fo!
r e-learning and applied in m-learning. Findings showed that the developed MLUAT methodology is more efficient and recommendations for approaching and improving m-learning are discussed.
Keywords: m-learning, e-learning, mobile devices, usability testing, HCI for mobile devices
EXTENSION of the file: .doc
Special (Invited) Session: Analyses and Review of M-learning Feasibility, Trends, Advantages and Drawbacks in the past Decade (2000 -2010)
Organizer of the Session: 652-325
How Did you learn about congress: Majlinda Fetaji (m.fetaji@seeu.edu.mk)
IP ADDRESS: 46.217.60.154
