| Popis: |
Memorizing vocabulary is a crucial aspect of learning a new language. Although computerized adaptive learning systems have successfully improved the process of vocabulary learning by tailoring learning procedures to the needs of individual learners, the majority of such systems are limited to typing-based learning and do not allow for speech practice. Here, we aim to examine the possibilities for personalized speech-based learning. We combined a response-time based algorithm for adaptive item scheduling that was originally developed for typing-based learning with automatic speech recognition technology and tested the system with 50 participants. We show that typing- and speech-based learning result in similar learning outcomes and that using an adaptive scheduling algorithm improves learning performance relative to traditional learning in both modalities. These results can inform the development of language learning systems that—unlike traditional systems—focus on one of the most important aspects of learning a language: to practice speech. |
