The interpretive processes required to understand the context and goals of an algorithmic task are illustrated in the use of an intelligent instructional system developed to train soldiers to monitor a computerized missile's system automatic identification of aircraft. The problems students had in understanding the identification task were addressed in INCOFT, a simulation-based intelligent instructional system that depends, in part, on human instructors to convey the task framework. Supported by recent advances in the cognitive science of instruction, the concept ofapprenticeship (...) provides a model for the student-machine as well as the student-instructor interactions observed in the use of INCOFT. The system's instantiation of apprenticeship illustrates an alternative to conventional tutorial-based design of intelligent instructional systems. (shrink)

This article argues that errors in audio data processing should be examined to explore and expose the underlying components that enable linguistic communication and cross-cultural understanding. Examples of errors in the transcription of a Mexican social network’s conversations are analyzed to demonstrate the potential of such data in the development of sociocognitive language-processing theories. It is suggested that researchers working with audio-recorded data should expand the scope of what is considered useful data for the sake of both methodological reflexivity and (...) identifying the underlying cognitive processes enabling linguistic understanding. (shrink)