Doing more than Teaching Students: Opportunities for CALL in the Learning Sciences

Abstract

Computer assisted language learning systems have demonstrated ability to increase student learning in real classroom settings. In addition to the learning benefits students receive, tutoring systems can provide data to help learning sciences researchers understand how students learn. This in turn can lead to the design of more effective and efficient systems. We present two tutors developed to teach English Second Language learners the English article system and suggest opportunities in which these tutors can be used to answer key learning sciences questions.