Skip to main content
Add as a preferred source on Google


Caliper Analytics Specification Set for Release

The Caliper Analytics interoperability specification from the IMS Global Learning Consortium has achieved "candidate final release" status.

Caliper Analytics is a new standard that aims to reduce the cost of collecting analytics data from digital educational tools and to simplify the process of presenting that data consistently, according to information from IMS Global. The specification includes a Sensor API (application programming interface) to enable the collection of analytics data and Metric Profiles to establish a common format for presenting that data.

The Caliper Sensor API and Metric Profiles have been tested across a wide range of products over the past 18 months, and they are now operational "in several well-known educational products," according to IMS Global. The Caliper workgroup is led by D2L, Elsevier, Intellify Learning, Learning Objects, McGraw-Hill Education, Penn State University and the University of Michigan.

"The release of IMS Caliper removes a significant barrier to collectively assessing learner activity outside the learning management system (LMS)," said John T. Harwood, associate vice provost for Information Technology at Penn State, in a prepared statement. "Penn State and other institutions recognized the need to have a holistic view of learning to enable student success in achieving academic pursuits.".

IMS Global has established a new developer community for IMS affiliate members and contributing members to "support developers of applications, digital resources, learning platforms and learning event stores, as well as facilitated special interest groups," according to IMS Global.

Resources available through the Caliper Analytics developer community include:

  • Getting Started Guide;
  • Implementation Guide with sample code;
  • Sensor API code in six programming languages;
  • Conformance certification test harness; and
  • Community technical forums.

IMS Global has also established the Caliper RAM (Real-time Analytics Messaging) workgroup, which is "led by universities that are applying Caliper to implement real-time, actionable messaging alerts," according to IMS Global. The Caliper RAM workgroup is co-chaired by University of Kentucky, University of California Berkeley and University of Texas at Austin.

Further information about Caliper Analytics can be found on the IMS Global site.

About the Author

Leila Meyer is a technology writer based in British Columbia. She can be reached at [email protected].

Featured

  • Businessman using laptop to analyze and control information security data

    Survey Reveals Data Governance Enforcement Gap for Agentic AI Tools

    According to a new report, 99.7% of IT and security leaders surveyed by identity security company Delinea said their organization has a formal policy governing what data AI tools and agents are permitted to access. Yet only about 51% said AI access is checked against those policies in real time.

  • Hootsuite

    Beyond the Feed: How Higher Ed Turns Social Media Into a Measurable Enrollment Engine

    More than half of prospective students research programs on social media before visiting a university website, and nearly half will skip applying to a school that looks inactive online. Hootsuite, the all-in-one social OS platform trusted by more than 2,000 higher education institutions, helps campus teams turn everyday posts into measurable outcomes, from applications to alumni giving.

  • Abstract Network Connection Structure with Glowing Nodes and Lines on Dark Background

    Rubrik, CrowdStrike Expand Integration to Speed Identity Recovery

    Cybersecurity companies Rubrik and CrowdStrike have announced an expanded identity-security integration intended to move compromised identity environments from threat detection through clean recovery with less manual intervention.

  • Minimalist binary data fragmentation

    Fragmented Data Is Quietly Undermining Student Success and Cybersecurity Hygiene

    Siloed tools, teams, budgets, and resources spread across departments and campuses generate massive amounts of data. However, fragmentation creates unnecessary exposure to security threats and inadvertently reduces student support because no one can see the whole picture.