http://www.imsglobal.org/activity/caliperram

越来越多的学习互动在线进行,允许获取学习活动相关的数据和信息。该数据有望提供新的见解,关于特定的学习互动如何与学习成果关联。利用这些数据,教育工作者可以:

  • 为更多学习活动测量和学习成果之间相关性提供答案。
  • 看看哪些行为和内容始终如一地生产所需的学习成果。
  • 比较不同的内容或交互类型的有效性。
  • 设置预警系统,建立预测措施。
  • 根据学生模式的实时个性化课程。

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.

 

Caliper Analytics Framework