Observation Data Collection Technique
According to Table 3.6., the average score mean was used to interpret the need analysis and experts and user validation questionnaire. First, in need analysis
interpretation, the mean score were used to interpret of every indicator in order to know the categories of
students’ interests, oral pronunciation, communicative competence, speaking problems, and the use of technology. If the score is
classified as very high, it means that the students’ indicators received the most
categories done by the students. Then, if the score is considered good, it means that the students did as well as the indicators. When the score is categorized as
fair, it means that the students sometimes did as the indicators. Next, the score low shows that the students did not do as the indicators. The last, the very low
score specifies that the students did not strongly do the indicators of each category.
Second, in expert and user validation interpretation, the mean score were used to interpret the evaluation of the product. If the score is classifies as very
good, it means that the product does not need any revision. Then, if the score is considered good, it means that the revision is optional. When the score is
categorized as fair, it is necessary to conduct more exploration on the existing part of the design. Next, if the score is considered poor, it is recommended to modify
or revise some parts of the application. The last, the very poor score pointed out that the revision is highly required.
Furthermore, the qualitative data from open-ended questionnaire were selected as necessary to support the result of the quantitative data from the
questionnaire. The interpretation based on the theory of Principles of Mobile Assisted Language Learning Stockwell Hubbard, 2013, and Principle of
Mobile learning Elias, 2011. Meanwhile, the data gained from the interviews were analyzed in the form of written paragraphs. The qualitative data gathered
from the interviews were also selected as necessary to support the quantitative data from the questionnaire result.