understanding the weaknesses, the solutions were found so the research could be done better in the next cycle.
E. Data Collection Techniques
The qualitative data dominated the research to obtain the result of the research. The data were the description of the reality happening during the
research. The data presented the descriptions, interpretations and claririfications of the improvements of the teaching-learning quality through fun learning. In
gaining the data, the research used some data collection techniques as presented in the table below:
Table 1. The Data colllection Techniques and Instruments Collection
Techniques Instruments
Data
observation Observation sheets
Field notes Interview
Interview guidelines Interview transcripts
a. Observation The observation was conducted to monitor the process of teaching and
learning quality while actions were implemented. The data were collected by observing what happened in the teaching and learning process when technique
was implemented. The condition of the teaching and learning process, the students’ behaviour and the problems were observed by using observation sheets.
The observation was conducted by the researcher, the English teacher, and the
collaborator. The result of the observations were recorded in the form of field notes.
b. Interview Before and after the implementation the English teacher, the collaborator and
the students were interviewed related to the activities in the teaching and learning process. The interview technique gained the English teacher and students’
responses, opinion, suggestion, and expectation. The interviews were conducted by using semi-guided interview which the interviews were guided, but tasking
further questions are allowed. The results was recorded in the form of transcript.
F. Techniques of Data Analysis
The data collected were in the form of qualitative. The qualitative data were collected from the observation and the interviews. They were in the forms of notes
and interview transcripts. The process of analysis was done in every end of cycle. Analysing the data was continuing process to find explanations and patterns. The
analysis data needed some practical steps. Based on Burns 2010:104, there are some steps to get an overall framework for the data analysis as follow:
1. Assembling the data The first step was to bring together the data that had been collected over
the period of the research. In this stage, the researcher looked for the ideas or patterns that fit together and are related to the research question.
2. Coding the data
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