Maomi Ueno, The University of Electro-Communications, Japan
This paper proposes an e-testing construction support system (eTCSS) with the prediction tools for the constructed test. This paper performs some comparison experiments to find the best predictive performances models for the Predictive response-time distribution and the Predictive response-time distribution. Furthermore, the amount of test information based on the Item Response Theory, which is important to improve the measurement efficiency of the constructed test, is applied to be the prediction tool of the eTCSS. Finally, this paper evaluates the system by using actual data. The results show the effectiveness of the system.
Citation:
Pokpong Songmuang, Masahiro Ando, Masahito Nagamori, Maomi Ueno, Toshio Okamoto, "E-Testing Construction Support System with some Prediction Tools," icalt, pp.437-438, Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 2007