Impacts of Different Mobile User Interfaces on Students’ Satisfaction for Learning Dijkstra’s Shortest Path Algorithm

Dublin Core

Title

Impacts of Different Mobile User Interfaces on Students’ Satisfaction for Learning Dijkstra’s Shortest Path Algorithm

Subject

Dijkstra’s shortest path algorithm
mobile devices
mobile user interface
small screen interface
user satisfaction

Description

This paper describes an experimental study of learning Dijkstra’s shortest path algorithm on mobile devices. The aim of the study is to investigate and compare the impacts of two different mobile screen user interfaces on students’ satisfaction for learning the technical subject. A mobile learning prototype was developed for learning Dijkstra’s shortest path algorithm on Apple iPhone 4 operated on iPhone operating system (iOS), and Acer Inconia Tab operated on an Android operating system. Thirty students, who are either currently studying or had previously studied Computer Networks, were recruited for the usability trial. At the end of each single session, students’ satisfaction interacting with the two mobile devices was measured using QUIS questionnaire. Although there is no significant difference in students’ satisfaction between the two different mobile screen interfaces, the subjective findings indicate that Acer Inconia Tab gained higher scores as compared to Apple iPhone 4.

Creator

Seraj, Mazyar
Wong, Chui Yin

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 8 No. 4 (2014); pp. 24-30
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2014-10-07

Rights

Copyright (c) 2017 Mazyar Seraj, Chui Yin Wong

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Mazyar Seraj and Chui Wong Yin, Impacts of Different Mobile User Interfaces on Students’ Satisfaction for Learning Dijkstra’s Shortest Path Algorithm, International Association of Online Engineering (IAOE), Vienna, Austria, 2014, accessed November 23, 2024, https://igi.indrastra.com/items/show/1094

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