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| QTI | |
|---|---|
| Name | QTI |
| Title | QTI |
| Developer | IMS Global Learning Consortium |
| Released | 2000s |
| Latest release | 3.0 |
| Programming language | XML |
| Operating system | Cross-platform |
| Genre | Assessment specification |
QTI is an XML-based specification for the representation of assessment content, items, and results. It standardizes interchange of test items, item pools, assessments, and response processing between assessment authoring tools, delivery systems, and learning record systems. The specification connects content standards, delivery platforms, and analytics ecosystems across institutions such as Harvard University, Massachusetts Institute of Technology, Stanford University, University of Cambridge, and vendors like Pearson PLC and ETS.
QTI defines structures for questions, responses, scoring, and metadata to enable portability between tools used by Department for Education (UK), U.S. Department of Education, European Commission, and commercial providers including McGraw Hill Education, Wiley-Blackwell, and Cengage. The model supports item banks, adaptive assessments, and reporting pipelines used by organizations such as OECD, UNESCO, World Bank, College Board, and ACT, Inc.. By specifying an XML vocabulary, QTI integrates with ecosystems built around IMS Global Learning Consortium standards like Learning Tools Interoperability, Common Cartridge, and Caliper Analytics.
Work on the specification began within IMS Global Learning Consortium with contributions from assessment stakeholders including Educational Testing Service (ETS), Pearson, and national consortia such as ACER and SQA (Scotland). Early versions addressed interchange for paper- and computer-delivered items used by testing programs like PISA and TIMSS. QTI evolved through versions aligned with other standards from bodies such as W3C, ISO, and IEEE; later releases incorporated advances in XML Schema and XQuery technology illustrated in projects at Microsoft Research, Oracle Corporation, and IBM Research. The transition to QTI 3.0 emphasized RESTful delivery patterns used by Amazon Web Services, Google Cloud Platform, and cloud-native assessment services developed by Blackboard Inc. and Instructure.
The architecture is modular: item models, assessment models, response processing, and result reporting form separable components. Core files use XML Namespaces and XML Schema similar to documents from W3C and align with metadata vocabularies inspired by Dublin Core. The specification defines bindings for packaging and interchange akin to IMS Common Cartridge and leverages identifiers and authentication schemes used by OAuth and SAML in deployments by institutions like University of Oxford and University of Melbourne. Implementations often map QTI constructs to database schemas used by PostgreSQL, MySQL, and MongoDB and expose APIs consistent with patterns advocated by OpenAPI Initiative.
QTI supports a range of item types: multiple choice, multiple response, short answer, numerical entry, essay, drag-and-drop, and domain-specific formats used in vocational assessments by City & Guilds and professional licensure boards such as General Medical Council (UK). Item models encapsulate presentation, response processing, and feedback: they can implement deterministic scoring like used by GRE and GMAT or complex algorithms for adaptive testing as employed by CAT deployments at ACT, Inc. and NWEA. Extensions enable interaction patterns drawn from research at Carnegie Mellon University, University of California, Berkeley, and MIT Media Lab for simulations, code execution, and multimedia items used by Codecademy-style platforms.
Interoperability efforts involve vendors and open-source projects: authoring tools such as QTIWorks, Respondus, and H5P-based exporters; delivery systems like Moodle, Sakai, Blackboard Learn, and Canvas (LMS); and result processors connecting to analytics systems from SAS Institute and Tableau Software. Conformance testing and certification are coordinated by IMS Global Learning Consortium events and interoperability showcases that include participants like Microsoft Education, Google for Education, Khan Academy, and national test centers such as ETS and Pearson VUE.
Delivery mechanisms range from offline paper conversion processes used by Cambridge Assessment to timed, proctored online delivery integrated with proctoring vendors such as ProctorU and Examity. Scoring models include simple objective marking, rubric-based human scoring used by College Board AP programs, and automated grading employing natural language processing and machine learning researched at Stanford NLP Group, Google Research, and OpenAI. Result reporting maps QTI outcomes to analytics dashboards used by Power BI or learning record stores compliant with xAPI.
QTI is used by national examinations, certification programs, higher education institutions, and corporate learning. Examples include standardized testing consortia such as PISA participants, vocational certification through City & Guilds, university assessments at University of Cambridge or University of Oxford, and corporate compliance training by Deloitte and PwC. EdTech companies like Knewton, Duolingo, and Coursera leverage QTI or QTI-inspired exchange models when integrating third-party item banks and external assessment providers. The specification underpins efforts to create interoperable, reusable assessment content across the international assessment and learning technology landscape.
Category:Assessment