Computerized systems and methods for categorizing student responses and using them to update a student model during linguistic education

Abstract

Computer-based systems and methods support linguistic education between a tutor and a student using mobile computing devices with touchscreen user interfaces for both that allow the tutor to deliver lesson prompts and monitor in real-time, on his/her mobile device, responses made by the student on the student's mobile device. The linguistic lessons can be quickly created and individualized for each student, based on statistical estimates of student knowledge of each concept in the appropriate scope and sequence. The planned lesson may then be downloaded onto the tutor's mobile device for delivery in a tutoring session. The tutor uses the touchscreen interface of the tutor mobile device to select concept prompts in the downloaded lesson. These prompts can then be displayed on the student's input device. The student may use an input component of the student mobile device to enter a response that is then transmitted back to the tutor mobile device. The student may also answer orally. The tutor, through the touchscreen interface of the tutor mobile device, records correctness and the required hint level for each student response given during a lesson. These records can then be uploaded to the host computer system and used to update a Student Model after the lesson is complete. After it is updated, the Student Model can be used to plan the next lesson for that student.