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The 3  International Conference
                                                        rd
                                       on Vocational Education and Technology (IConVET)
                                                              th
                                 Universitas Pendidikan Ganesha - Bali | 7  November, 2020
            APPLICATION OF PARTIAL CREDIT MODELS IN
              TESTING PERFORMANCE ASSESSMENTS FOR
                           PROGRAMMING COURSE


                          N M S Mertasari , and I M Candiasa 1)
                                         1)

             Mathematics and Science Faculty, Universitas Pendidikan Ganesha,
                              Singaraja - Bali – Indonesia.

          Abstract. The assessment of programming skills must be able to measure
          holistically the theoretical abilities and programming skills. Performance
          assessment is seen as an appropriate assessment to measure programming
          ability because it is able to evaluate authentic ability through the process
          carried out or the product produced. The  problem that often arises  is
          performance assessment testing to measure programming capabilities. On
          this occasion, the Partial Credit Model (PCM) was tried to test performance
          assessments to measure programming capabilities. PCM is a development of
          the Rasch model which both applies one parameter, namely the  item
          difficulty index. If the Rasch model is applied to dichotomous items, then
          PCM is applied to politomic items. PCM assumes that all items have the
          same difference power. The category score on the PCM shows the per-step
          score for correctly completing the item according to the scoring rubric
          developed. The probability of each test taker is estimated by calculating the
          probability of answering each step in completing an item. There are five
          items that were tested in two parallel classes in relatively different times.
          The test results showed a difference in probability in the two classes, but the
          difference was not too far away. So, the performance assessment is precise
          enough to measure programming capability, and the test results are quite
          precise when tested with PCM.









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