Using ConceptGrid as an easy authoring technique to check natural language responses

ConceptGrid provides a template-style approach to check natural language responses by students using a model-tracing style intelligent tutoring system. The tutor-author creates, using a web-based authoring system, a latticestyle structure that contains the set of required concepts that need to be in a student response. The author can also create just-in-time feedback based on the concepts present or absent in the student\u27s response. ConceptGrid is integrated within the xPST authoring tool and was tested in two experiments, both of which show the efficacy of the technique to check student answers. The first study tested the tutor\u27s effectiveness overall in the domain of statistics. The second study investigated ConceptGrid\u27s use by non-programmers and non-cognitive scientists. ConceptGrid extends existing capabilities for authoring of intelligent tutors by using this template-based approach for checking sentence-length natural language input

Operationalizing the C’s of Teamwork in an Intelligent Tutoring System

One of the difficulties in creating a team-focused intelligent tutoring system (ITS) is defining the measures used to assess the team’s performance. While the team research literature offers nine C’s of teamwork to consider, e.g., cooperation, communication, etc., it can also be difficult to implement these in real-world practice. This paper reviews the approach used in three team ITSs in which the C’s were used, offering guidance for future implementation of team tutors

Using ConceptGrid as an easy authoring technique to check natural language responses

ConceptGrid provides a template-style approach to check natural language responses by students using a model-tracing style intelligent tutoring system. The tutor-author creates, using a web-based authoring system, a latticestyle structure that contains the set of required concepts that need to be in a student response. The author can also create just-in-time feedback based on the concepts present or absent in the student's response. ConceptGrid is integrated within the xPST authoring tool and was tested in two experiments, both of which show the efficacy of the technique to check student answers. The first study tested the tutor's effectiveness overall in the domain of statistics. The second study investigated ConceptGrid's use by non-programmers and non-cognitive scientists. ConceptGrid extends existing capabilities for authoring of intelligent tutors by using this template-based approach for checking sentence-length natural language input.This is a manuscript of an article published as Blessing, Stephen B., Shrenik Devasani, Stephen B. Gilbert, and Jivko Sinapov. "Using ConceptGrid as an easy authoring technique to check natural language responses." International Journal of Learning Technology 10, no. 1 (2015): 50-70. DOI:10.1504/IJLT.2015.069449. Posted with permission.</p