The potential of learning analytics to innovate and shape education are found in the widespread collection and display of the data by online learning environments and other learner activity data collected by many institutions. All efforts to date have been built around proprietary standards that reinforce the silos often found in education. This makes it nearly impossible for the educator, student or institution to see a truly holistic view what is happening in the teaching and learning environment. Not only does each organization need to reinventing the analytics wheel, but the current analytic conditions means the resulting analytics cannot be compared effectively. Each organization counts different things in different ways.
Since many curriculums ask students to work in multiple learning environments, there is a widespread need for data, that can be consolidated for a single view or cross-provider analysis.
The Caliper Framework will:
- establish a means for consistently capturing and presenting measures of learning activity, which will enable more efficient development of learning analytics features in learning environments
- define a common language for labeling learning data, which will set the stage for an ecosystem of higher-order applications of learning analytics
- provide a standard way of measuring learning activities and effectiveness, which will enable designers and providers of curriculum to measure, compare and improve quality
- leverage data science methods, standards and technologies
- build upon existing IMS standards
- provide best practice recommendations for transport mechanisms
Caliper Analytics Current Status
IMS has developed a standard which:
- creates IMS Learning Metric Profiles to establish a basic, and extensible, common format for presenting learning activity data gathered from learner activity across multiple learning environments. Metric Profiles provide a common language for describing student activity. By establishing a set of common labels for learning activity data, the metric profiles greatly simplify exchange of this data across multiple platforms. While Metric Profiles provide a standard, they do not in and of themselves provide a product or specify how to provide a product. Many different products can be created using the same labels established by the standard.
- creates the IMS Learning Sensor API™ to define basic learning events and to standardize and simplify the gathering of learning metrics across learning environments.
- leverages and extends the IMS LTI™/LIS/QTI™ standards thus enhancing and integrating granular, standardized learning measurement with tools interoperability and the underlying learning information models, inclusive of course, learner, outcomes and other critical associated context.