Recep Serkan ARIK, Ömer KUTLU
The aim of this study is to determine teacher competencies in the field of measurement and assessment needed in school education, and to scale the competency areas determined by Delphi technique based on judge decisions. In this context, qualitative and quantitative data obtained from Delphi panel applications applied in three sessions were interpreted by correlating the findings obtained from scaling with binary comparison and ranking judgments, one of the scaling approaches. The study was carried out on 300 teachers who have experience in assessment and evaluation in nine primary schools from central districts in Ankara. "What are the measurement and evaluation field competencies that a good teacher should have?" A scaling form based on the answers given to the open-ended question and the judge decisions formed with them was used. Thurstone V. Hal equation was used in the analysis of the obtained data. It was found that the three competencies with the highest scale value and the three scale values ??with the least scale value were close to each other. In the second and third Delphi application in scaling with paired comparison, the competencies of "Preparing measurement tools in cognitive, affective and psychomotor fields, using technological tools and equipment while measuring and evaluating, and using different question formats" were determined as more important. In scaling with ranking judgments, "Makes measurements based on performance, project and portfolio, It allows the student to make self-assessment and peer assessment. Teachers consider the competency areas of "Using technological tools and equipment while making assessment and evaluation" important. The high level of correlation (r = 0.99, p <.05) between Delphi applications in both binary comparison and sorting and scaling is among the striking findings. This high relationship indicates that there is consensus in Delphi technique. An important finding was that there was no relationship between binary comparison and ranking judgments and scaling. The high level of correlation (r = 0.99, p <.05) between Delphi applications in both binary comparison and sorting and scaling is among the striking findings. This high relationship indicates that there is consensus in Delphi technique. An important finding was that there was no relationship between binary comparison and ranking judgments and scaling. The high level of correlation (r = 0.99, p <.05) between Delphi applications in both binary comparison and sorting and scaling is among the striking findings. This high relationship indicates that there is consensus in Delphi technique. An important finding was that there was no relationship between binary comparison and ranking judgments and scaling.
