Abstract
The main goal of this paper is to provide an insight into implementation of a model for continual adaptive online knowledge assessment throughout Adaptivity, a web-based application. Adaptivity enables continual and cumulative knowledge assessment process, which comprises of a sequence of at least two (but preferably more) interconnected tests, carried-out throughout a reasonably long period of time (i.e. one semester). It also provides personalized post-assessment feedback, which is based on each student’s current results, to guide each student in preparations for the upcoming tests. In this paper, we provide description of adaptation model, reveal the design of Adaptivity and results of testing of the proposed model.
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Zlatović, M., Balaban, I. (2020). Adaptivity: A Continual Adaptive Online Knowledge Assessment System. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S., Orovic, I., Moreira, F. (eds) Trends and Innovations in Information Systems and Technologies. WorldCIST 2020. Advances in Intelligent Systems and Computing, vol 1161. Springer, Cham. https://doi.org/10.1007/978-3-030-45697-9_15
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