Auxiliar: a case-based system to assist online courses

Abstract

This paper presents the REASONING, the third module of a computerized system (AUXILIAR), designed to help human-tutors redefine information for those students who have difficulties in grasping deployed educational topics. To this end, there is an intelligent mechanism that facilitates the assessment process and searches for similar cases produced by other students in past situations. This search enables the system to redefine the information content to be rendered to the student in order to eliminate deficiencies detected during a formative assessment without considerable intervention by the tutor. To reach these goals, concepts of Artificial Intelligence (Case-based Reasoning, more specifically) and manmachine interaction are exploited. Thereby, there are presented the format of a Case, the structure of the Case Library, as well as the intelligent retrieval mechanism that was developed.

Assessment Of Remote “Optical Circuits” Laboratory Using Embedded Measurement Techniques

“…This book does not examine remote laboratories per se, but does provide useful techniques for determining where such assessment can be included in science learning. Other researchers have explored the use of formative assessment to guide online learning, although not applied to online or remote laboratory experience [24,25]. MIT's XTutor system is exploring the use of formative methods in several computer science courses, including interactive programming exercises and extensive assessment tools, although again not applying this to remote labs.…”