Abstract
Herein, we present a drill-type web-based training (WBT) system, e^2-ELM, which comprises several "smart tools" (ST). The e^2-ELM system can be used to insert answers into test sentences and allows learners to narrow down answer options. This system has been used experimentally in the authors' classes since the latter half of the second semester of 2005. In the present study, both subjective evaluations by students in the authors' classes (who had previously used a WBT system on the market) and quantitative experimental evaluations by student volunteers were collected. After determining their baseline ability, the students learned about Internet technologies using drill-type study materials. Finally, the students' achievements were measured using a post-test. The results indicated that ST functions are effective not only for reducing unnecessary and unproductive actions when answering, but also for enhancing students' motivation to learn using ST. Furthermore, statistical analysis of learning achievements showed that WBT with ST is more effective than WBT without ST or traditional paper-based training.
