Learning trajectory of item response theory course using multiple softwares

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Heri Retnawati

2017 Olympiads in Informatics Vol. 11 Conference paper Cited by 21 SDG 4SDG 16 Quartile

Abstract

In a learning process with regards to parameter estimation of item response theory (IRT), which has been related to quite intricate mathematical equations, software use should be an urgent matter. The study was to describe the learning trajectory of item response theory that had been integrated to the use of multiple software and obstacles of advanced IRT course. The study was validation study-type of design research with qualitative approach. The participants in the study were the graduate school students of Educational Research and Evaluation Study Program who concentrated on Educational Measurement. The learning trajectory that had been hypothesized was based on the researcher's experience in lecturing and in identifying the necessary requirements for each chapter in the course. The data were gathered by means of observation during learning, course activities documentation and graduate school students' learning results documentation. The data were analyzed qualitatively. By formulating and testing the hypotheses of learning trajectory, the researcher found that multiple software use in course might assist the students in understanding and improving the students' skills in terms of implementing IRT although they might encounter with several obstacles. © 2017 IOI, Vilnius University.

Affiliations

Mathematics Department, Math ans Science Faculty, Universitas Negeri Yogyakarta, Yogyakarta, Indonesia

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