An Adaptation Model for Personalized E-Assessments

Abstract

Over the last decade, a large number of e-assessment system and tools were developed. However, they all provide assessments that are characterized by a static structure (ordered sequence of questions, predefined start and ending, etc.). This approach does not consider students individual knowledge or characteristics. Instead, each student has to answer the same questions. The work presented in this paper focuses on a personalized e-assessment system (askMe!) that not only identifies, but also supports and even compensates deficits in studentsâ?? individual learning by considering studentsâ?? strengths and preferences. In this paper, the core, the adaptation model of the system is presented that defines what can be adapted, as well as when and how it is to be adapted.

Integration of remote and virtual laboratories in the educational process

“…During the whole experiment all user actions are recorded in the learning record store (see Figure 5. ) and are available for adaptation algorithms whether to give an immediate feedback or to assess the student's competencies in higher order thinking skills [7].…”