Volume 5 Number 6 (Jun. 2010)
Home > Archive > 2010 > Volume 5 Number 6 (Jun. 2010) >
JSW 2010 Vol.5(6): 654-661 ISSN: 1796-217X
doi: 10.4304/jsw.5.6.654-661

Usability Heuristics Evaluation for Child Elearning Applications

Asmaa Alsumait1, Asma Al-Osaimi2

1Kuwait University, Computer Engineering Department, Kuwait
2Regional Center for Development of Educational, Kuwait

Abstract—Selecting usability evaluation methods (UEMs) to expose usability problems in e-learning programs is influenced by time, cost, ease of application, and efficiency. Heuristic evaluation has become a widely accepted method of usability evaluation in software development. This paper introduces Heuristic Evaluation for Child E-learning applications (HECE), a comprehensive set of heuristics for child e-learning along with a detailed explanation for the usability experts on how to apply them. These sets of heuristics are based on Nielsen’s original ten heuristics developed for software. Nielsen heuristics are basically generic, and might not encompass usability attributes specific to children or e-learning. The new HECE set would overcome these shortcomings. The validity and effectiveness of these heuristics were evaluated against two developed elearning programs designed by ReDSOFT for KG-2 and special need students. The results indicated that HECE identified qualitative similarities and differences with user testing, and that HECE is best suited for evaluating general and child usability. Combined with user testing, HECE offers a new track that can assist in guiding the child elearning industry to design applications that are both educational and pleasurable for children.

Index Terms—E-learning, Human Computer Interaction, Usability Evaluation.


Cite: Asmaa Alsumait, Asma Al-Osaimi, "Usability Heuristics Evaluation for Child Elearning Applications," Journal of Software vol. 5, no. 6, pp. 654-661, 2010.

General Information

  • ISSN: 1796-217X (Online)
  • Frequency:  Quarterly
  • Editor-in-Chief: Prof. Antanas Verikas
  • Executive Editor: Ms. Yoyo Y. Zhou
  • Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
  • E-mail: jsweditorialoffice@gmail.com
  • APC: 500USD
  • Jun 12, 2024 News!

    Vol 19, No 2 has been published with online version   [Click]

  • Jan 04, 2024 News!

    JSW will adopt Article-by-Article Work Flow

  • Apr 01, 2024 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec)     [Click]

  • Apr 01, 2024 News!

    Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP   [Click]

  • Mar 01, 2024 News!

    Vol 19, No 1 has been published with online version    [Click]