Cloud created by:

Rebecca Ferguson
11 February 2016

Synopsis

Cognitive Tutor is an intelligent tutoring software provided by the US company Carnegie Learning. This web-based software is mostly used to teach math to 9-12 grade students. The software provides personalised learning activities and customised feedback for several prepared mathematics courses based on a domain, tutoring, and student skill models.

 

Two learning analytics relevant components of this software are the 'Skillometer' and the teacher reports. The 'Skillometer' is a visual indicator of students' progress in mastering skills. It gives the student an indicator of skill mastery for each achievable skill of a learning unit. The level of mastery shown by the tool expresses a prediction about the ability to demonstrate this skill in future again. The data for this visualisation stem from the tracking of the interaction of the student with the software.

Teachers are supported with several reports that are generated by the software. The class progress report shows unit by unit the amount of active students. The class skill alert report shows for each skill the skill mastery level for each student. The student detailed report shows for each student the amount of mastered skills, time spent, amount of completed units, sections, and problems. The detail by section report shows information for each student on a unit by unit level. Another report shows aggregated data for each unit. The student skill alert report shows units of underperformance. The class assessment reports allow to compare pre-test with post-test results by topic, or by problem on class level. The student assessment reports show pre-test and post-tests results by topic, or by problem on student level. These reports aim at supporting teachers with their instructional decision-making.

Classification

Inventory type:

learning environment tool

smart system

learner support tool

analytics for assessment

Role of analytics:

alerting

summarisation & description

visualisation

prediction

modelling

adaptation

Data sources:

uses own data

Keywords:

adaptive, cognitive tutor, knowledge tracing

Tool in Context

Learning:

school

Supply model:

desktop tool (Java Webstart application or browser based)

Origin:

TEL vendor

Ethics and privacy:

The company provides a privacy policy.

Languages:

English

Maturity and Evidence of Utility

Research on Cognitive Tutor dates back to the 1980s. The software was extensively trialled, for example, the Cognitive Tutor algebra 1 course was used by 2000 US schools in 2004. Furthermore, several scientific reviews have been published.

Further Information

Tool provider’s website: https://www.carnegielearning.com/learning-solutions/software/cognitive-tutor

History of Cognitive Tutor: http://ctat.pact.cs.cmu.edu/index.php?id=timeline

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