QuML Overview
Last updated
Last updated
Assessment has always played an important role in education. Most, if not all, types of formal education use some sort of assessment, typically including a final exam to earn a grade, a degree, a license, or some other form of qualification.
Today, assessment is no longer restricted to grading at the end of an instruction (summative assessment), but it has been recognized that assessment is also useful for continuous monitoring & feedback (formative assessment) and guiding of the learning progress (means to learn), without being necessarily used for grading purposes.
Formative assessment, including self-assessment, can play a vital role in motivating students since it provides them with a way to judge their own competency level and allows them to track their progress. It also enables students to identify areas where more work is required, and to thereby remain motivated to improve further. Of course, this requires that students receive feedback as quickly as possible.
Formative assessment also provides timely feedback for teachers, both with respect to the effectiveness of the teaching and the performance of the students; it thus helps to identify points that might need clarification.
For both groups, teachers and students, frequent testing is preferable. Infrequent testing makes each exam a “major event”, with students investing much effort into preparation and they may even stop attending class to prepare for the exam. With infrequent tests, students may be unable to determine whether they are studying the right material and with sufficient depth.
Though it may be more time consuming for teachers, frequent testing reduces the importance of each individual exam and helps students to better gauge their progress.
Questions from a question bank can be used to create different types of formative assessments. Presenting questions from a question bank has many advantages. Firstly, it can ensure that questions are always fresh, do not become stale and repetitive and the questions can evolve in their precision of measuring the student’s proficiency.
Answering questions and solving problems is an effective way to learn. Unlike traditional tests where the questions are used to measure the proficiency of a student, if questions are presented as learning tools, they will encourage students to do a full and meaningful enquiry about the related concepts. In fact, one of the main objectives of questions should be “achieving defined goals”. A student should be asked questions that will require him or her to use the skills that he or she is trying to learn. Such questions should be more about provoking a process of learning than about finding an answer.
If the questions focus on micro-concept level assessment of student’s proficiency, it is possible to identify strengths, areas that need focus & improvement, and recommend the relevant content to the student that specifically address the individual learning needs.
Questions that are tagged with appropriate pedagogic metadata and associated with relevant concepts will enable “questioning” to be used as an effective means to encourage learning.
Assessment is always a time-consuming activity for teachers, especially if large numbers of students are to be assessed or, if assessment is frequent. This has motivated the development of technical devices to support assessment, starting with relatively simple mechanical devices and evolving to today’s computer-aided assessment (CAA) or e-assessment.
E-assessment is one of the fundamental elements of e-learning. E-assessments have a number of practical advantages; in particular, scoring can be automated (to most extent). This makes them especially attractive in e-learning settings, as it allows to make assessment available “anyplace, anytime”.
Creating high-quality e-assessments, however, is challenging, especially if they are to assess higher-order cognitive levels, such as application, analysis, synthesis, and evaluation in the traditional taxonomy of Bloom.
While e-assessments are indeed attractive, they are extremely expensive to construct: question creation is a highly refined and time-consuming art, especially if one expects to develop good questions that are relatively unambiguous.
Ensuring the reusability, longevity, and platform independence of tests can mitigate the high costs of creation and can help preserve investments and intellectual assets when hardware and software change, thus ensuring sustainability. This requires a standard, platform-neutral, vendor-independent interchange file format for e-assessments.
The common standard should enable the following capabilities for e-learning systems:
A number of standards aiming to promote interoperability and sustainability of e-learning content and e-assessment have emerged over the last couple of decades. IMS Question and Test Interoperability (IMS QTI) is the best-known standard for tests. However, IMS QTI is not used as the standard here primarily because of the following two reasons:
QTI is a very large specification with many optional parts. It is very difficult to
ensure interoperability between systems that do not implement all parts of the
standard.
Although we see familiar elements like and in the specification,
everything is in the QTI namespace and not in the XHTML namespace. The standard does not prescribe that you
have to render it with a browser, which leaves a lot of room for interpretation.
So, consistent rendering is a major problem.
This document specifies a model (for questions and tests) which addresses the above concerns with IMS QTI specification. The proposed model is derived from the IMS QTI specification, with changes made to meet the following requirements.
A standard or a specification intended as such should rely as far as possible on existing and proven standards. This allows keeping the specification of the interchange format concise and enables implementers to make use of available and proven tools. The proposed model is primarily based on HTML and Javascript.
HTML and javascript, being well-defined and globally acknowledged standards, makes it simple for implementations to interpret and transfer questions and tests in the form intended by the original author.
There are different scenarios for the interchange of tests. In some cases, tests may be reused in their entirety, whereas in other cases only individual questions from a test or a test collection (question bank) may be integrated into another test. It is therefore essential to clearly separate the different aspects of tests, especially individual questions and sets in a test.
A model that is able to describe all of the functionality of all systems may seem desirable to enable the interchange of complete tests with all their properties. Looking closer, one can see that this requirement is illusionary: The facilities of test systems are too diverse and too varied and no system supports all test and scoring types.
A model should therefore restrict itself to a relatively small “core set” of test and question types. Further types can be added later on once it has become clear which types are actually required in practice.
Finally, a specification should ensure longevity, i.e., questions and tests described using the format should remain processable for as long as possible. For correcting errors and extending the format, new revisions will become necessary from time to time, but it must be avoided that new revisions interfere with the data interchange. This means that different revisions should be compatible with each other as far as possible. Gratuitous incompatibilities must be avoided at all costs; sometimes, however, incompatible changes may be necessary.
To mitigate the potential negative impact of such changes, rigorous revision management is essential, starting with the distinction between major and minor revisions and corresponding numbering schemes. Incompatible changes must then only be introduced in major revisions, after having been announced before. Inside a major revision, say, 1 .x, all minor revisions (e.g., 1. 1 , 1. 2 , etc.) are all compatible with each other. Revision 2. 0 may introduce incompatible changes, but not 2. 1. This ensures that implementers and users can easily and reliably decide whether a specific question or test can be processed or not.
Question Markup Language (QuML in short) is a specification for storage, rendering and distribution of Questions and Tests. QuML allows assessment materials to be authored and delivered on multiple systems interchangeably. It is designed to facilitate interoperability between systems.
QuML defines a standard format for representation of questions, tests and their results, supporting the exchange of this material between authoring and delivery systems, repositories and other e-learning systems.
This specification enables aggregating questions from a wide variety of existing sources (Question papers, PDFs, documents, teachers, individuals, etc) into one repository and stored in a common format. With all questions available in a repository and in the same format, the reach and applicability of these questions gets amplified multi-fold. When these questions are available with QuML as the interface language, multiple applications (which understand & render QuML) can get created to serve a wide variety of use cases and users.
In a nutshell, a microservices architecture centered around “questions”, with different platforms & applications as constituent services, is possible. It allows anyone to offer a scalable, entirely new application that uses QuML questions, effortlessly.
A lot of questions currently exist in PDFs, word documents, as exam papers (soft and hard copies), in the minds of teachers & other creators, in existing question repositories and in many other sources. And on the demand side, teachers, students & parents have access to some of those resources only - mainly because existing systems have access to questions from at most one source. And some of the questions are completely not accessible as there are no systems or services built for them.
QuML powered question repositories create more connections between existing supply of questions and the demand for learning (via questions).
If questions from multiple sources are imported into a QuML compliant question repository, multiple systems get access to all the questions. It is possible because systems need to adhere to only one specification (QuML), unlike before, where each question is stored and represented in a different way.
