Questionmark OnDemand Expands Analytics

Questionmark has released an update to its SaaS-based assessment tool, Questionmark OnDemand. The incremental update includes new forms of analytics reporting tools to help measure performance and pinpoint areas that might be in need of additional investigation.

Questionmark OnDemand is an assessment system delivered as software-as-a-service solution with pay-as-you-go and subscription options. It includes tools for authoring and scheduling tests, developing test questions and working with question banks, delivering assessments on a variety of platforms (mobile phones, desktop browsers, paper), and measuring and analyzing results. The system is built using 128-bit encryption for security and is designed to integrate with other enterprise systems, with support for LDAP and SCORM and various APIs, as well as tools for publishing packages of materials to learning management systems.

The new 5.3 release adds two new reporting features:

  • Item Analysis Report, which is designed to help identify results in a test that might require additional investigation; and
  • Test Center Analysis Report, which "allows users to evaluate the performance of participants that have been scheduled to take assessments at test centers and thereby identify potential test security issues."

Item Analysis Report lets administrators drill down to "specific item statistics and performance data" and can output results to PDF and CSV files. It supports all common question types.

Both of the new tools are delivered through Questionmark Analytics, which integrates with Questionmark's core assessment system, Questionmark Perception. Perception is an assessment management suite for deploying quizzes, exams, surveys, and other forms of assessments. Using the company's auto-sensing technology, the assessments can be delivered in a variety of formats across a wide range of devices. Perception is available in on-premises and hosted configurations.

Additional details, along with access to a 30-day trial, can be found on Questionmark's site.

About the Author

David Nagel is the former editorial director of 1105 Media's Education Group and editor-in-chief of THE Journal, STEAM Universe, and Spaces4Learning. A 30-year publishing veteran, Nagel has led or contributed to dozens of technology, art, marketing, media, and business publications.

He can be reached at [email protected]. You can also connect with him on LinkedIn at https://www.linkedin.com/in/davidrnagel/ .


Featured

  • woman surrounded by virtual hologram icons

    Beyond AI Adoption: Designing Learning for an Age of Abundant Intelligence

    Higher education was designed for a world in which access to knowledge, expertise, feedback, mentorship, and authentic learning experiences were inherently scarce. By making many forms of intelligence increasingly abundant, AI is inherently redefining the existing paradigm.

  • 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.

  • businessman holding tablet with holographic AI icons

    Google Moves AI Agents into the Mainstream

    At its recent I/O developer conference, Google presented artificial intelligence agents not as a distant research project, but as a product strategy spanning Search, personal assistants, productivity software, developer tools, and smart glasses.

  • digital brain with network connections

    Microsoft Moving to Internally Developed AI Models in Office Apps

    Microsoft is reportedly using its own in-house artificial intelligence models to handle some workloads in Excel and Outlook, offering new evidence that the company is moving its AI strategy beyond model development and into large-scale cost reduction.