Developing Online ICALL Resources for Russian

Developing Online ICALL Exercises for Russian

We outline a new ICALL system for learners of Russian, focusing on the processing needed for basic morphological errors. By setting out an appropriate design for a lexicon and distinguishing the types of morphological errors to be detected, we establish a foundation for error detection across exercises.

On Adapting an ICALL System to Different Pedagogical Contexts

In recent years, a group of researchers in Intelligent Computer-Assisted Language Learning (ICALL) has emphasized the importance of developing ICALL systems that can be incorporated into real-life language programs (Heift, 2003; Amaral and Meurers, 2006; Amaral, 2007) or used for specific pedagogical goals (Nagata, 2002; Dodigovic, 2005). Continuing this line of research and following the argum...

Developing and Integrating ICALL Systems

Intelligent CALL: The magnitude of the task

The quality of most CALL programs is not well balanced with respect to the use of computer technology and of language content and processing. This imbalance can be explained by a number of constraints pulling CALL developers in diverging directions. For commercial CALLware the poor learner fit and lack of feedback is a serious impediment. So far ICALL approaches trying to overcome this have not...

Content Assessment in Intelligent Computer-aided Language Learning: Meaning Error Diagnosis for English as a Second Language Dissertation

Language practice that includes meaningful interaction is a critical component of many current language teaching theories. At the same time, existing research on intelligent computer-aided language learning (ICALL) systems has focused primarily on providing practice with grammatical forms. For most ICALL systems, content assessment of a learner response is limited to comparing it with a target ...