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JST Vol. 21 (1) Jan. 2013 - Pertanika Journal - Universiti Putra ...

JST Vol. 21 (1) Jan. 2013 - Pertanika Journal - Universiti Putra ...

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Hasiah Mohamed@Omar, Azizah Jaafar and Rohana Yusoff<br />

TABLE 2: Percentage assigned for each sub-heuristic in UsaECG<br />

Heuristic Total Sub heuristic<br />

The usability of educational computer games [usaECG(x)] gives an estimation of the degree<br />

or the level of critical usability problem found, namely, the value of the overall critical usability<br />

problem found of the educational computer games. In Table 2, function (1) and function (2)<br />

are derived from González et al. (2009), which we found as one of the promising attempt to<br />

quantitatively analyze the results of a usability evaluation based on the HE method. Function<br />

(2) was then modified in order to simplify the calculation.<br />

EVALUATION PROCESS<br />

Weight each sub<br />

heuristic<br />

Interface (IN) 10 0.2703 27.03<br />

Educational Element (ED) 6 0.1622 16.2<br />

Content (CN) 6 0.1622 16.2<br />

Playability (PL) 7 0.1892 18.92<br />

Multimedia (MM) 8 0.<strong>21</strong>62 <strong>21</strong>.62<br />

Total 37 1 100<br />

There are six steps involved in the evaluation process. First, the experts were identified and<br />

contacted through email. The experts who agreed to join the evaluation process replied and<br />

they were provided with the URL of the evaluation system (AHP_HeGES). Then, the experts<br />

performed the evaluation based on the provided PHEG with the explanation on how to<br />

conduct the process. The experts identified usability problem and rated severity scale. Once<br />

the evaluation was completed, the admin was able to view the usability problems found (data)<br />

and then performed the analysis. Fig.1 below shows the flow of the said evaluation process.<br />

Fig.1: Evaluation flow (Source: Hasiah & Azizah, 2011b)<br />

254 <strong>Pertanika</strong> J. Sci. & Technol. <strong>21</strong> (1): 283 - 298 (<strong>2013</strong>)<br />

Weight each sub<br />

heuristic (%)

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