The dimensionality is one of the most investigated concepts in the psychological assessment, and there are many ways to determine the dimensionality of a measured construct. The Automated Item Selection Procedure (AISP) and the DETECT are non-parametric methods aiming to determine the factorial structure of a data set. In the current study,…

Unlike the traditional multiple-choice (MC) format, the discrete-option multiple-choice (DOMC) format does not necessarily reveal all answer options to an examinee. The purpose of this study was to determine whether the reduced exposure of item content affects test security. We conducted an experiment in which participants were allowed to view…

The research focused on development, validation and standardization of a diagnostic instrument called Tertiary Examination Behaviour Inventory (TEBI) for determining the tendency of students in tertiary institutions to participate in academic cheating. Anchored on the Modified Theory of Planned Behaviour (MTPB) and Item Response Theory (IRT), the…

Massive open online courses (MOOCs) are playing an increasingly important role in higher education around the world, but despite their popularity, the measurement of student learning in these courses is hampered by cheating and other problems that lead to unfair evaluation of student learning. In this paper, we describe a framework for maintaining…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…