eLearning authoring software provider dominKnow has introduced an AI Question Generator in its dominKnow | ONE platform, designed to draft assessment questions directly from course content and identify gaps in topic coverage. The feature supports four question formats and leaves instructors in control of which questions are accepted. The launch reflects a measured approach to generative AI in corporate learning: reducing repetitive authoring work while preserving instructional design judgment and giving learning leaders a clearer view of assessment coverage.
eLearning authoring software provider dominKnow has launched an AI Question Generator within its dominKnow | ONE platform, aiming to reduce the time instructional designers spend creating assessments and help them identify gaps in course coverage.
The feature generates draft questions from content already contained in a course project. It also evaluates how well existing questions cover individual sections, labeling coverage as Thin, Moderate or Strong and recommending how many additional questions may be needed.
The approach addresses two connected tasks in digital learning development: writing assessment questions and determining whether those questions adequately test the material being taught. Rather than automatically publishing AI-generated assessments, dominKnow requires instructional designers to review and approve every question before it enters a course.
AI-generated questions stay within the course project
The AI Question Generator allows instructional designers to select the course sections they want to assess. It then suggests questions in four formats: True or False, Multiple Choice, Fill in the Blanks and Multiple Pulldowns.
The feature is designed to work within the existing course-authoring workflow. Designers can review generated questions, edit the wording, and accept or reject suggestions. Accepted questions become standard course pages that can be edited, reordered or deleted like other content in dominKnow | ONE.
That integration matters because assessment creation is not simply a matter of producing questions. Designers must ensure that questions reflect the learning objectives, test relevant knowledge and fit the structure of the course. A standalone AI tool might generate draft content, but transferring it into an authoring environment can create additional work.
By generating questions inside the course project, dominKnow aims to shorten that process while keeping the resulting content editable and under the designer’s control.
The company says the generator draws only on course-project content rather than internet searches or other external material. This is intended to keep questions tied to the material learners are expected to study, although instructional designers will still need to check whether generated questions are accurate, unambiguous and appropriate for the intended learning objectives.
Assessing the assessment itself
A notable part of the release is the feature’s assessment-coverage analysis. In addition to drafting new questions, the generator evaluates how thoroughly existing questions address each selected course section.
The Thin, Moderate and Strong ratings provide a quick indication of where a course may need additional assessment content. The system also recommends how many questions to add, giving designers a starting point for addressing potential gaps before a course is released.
This could be useful in large training programs, where course content is revised frequently or where multiple instructional designers work across a broad library of modules. Reviewing the alignment between course material and assessment questions can otherwise require a manual examination of both.
For learning and development leaders, more complete assessment coverage may offer a clearer view of what a course tests. However, the number of questions and their distribution across sections do not, on their own, demonstrate that learners have mastered a subject. Question quality, difficulty, relevance and alignment with learning objectives remain important.
The generator is therefore best understood as an authoring aid and coverage check rather than an independent measure of learning effectiveness. Human review remains necessary to determine whether an assessment tests understanding instead of simply recalling isolated details.
A human-led approach to AI in learning design
dominKnow describes the feature as part of a deliberate strategy to accelerate course authoring without transferring instructional design decisions to AI. Product management vice president Steve Berry said the generator is intended to help customers spot under-assessed sections and create more complete tests in less time.
The company also says the feature is the first of several planned AI capabilities intended to support designers across the course-authoring process. It has not yet detailed the full roadmap or release dates for those additional capabilities.
The strategy reflects a practical challenge for learning technology providers: organizations want the productivity benefits of generative AI, but they also need to preserve content quality and maintain control over training materials. In regulated or safety-sensitive environments, errors in a training assessment can have consequences beyond an unsatisfactory learner experience.
Requiring approval before questions enter a course provides a defined human checkpoint. It also lets designers adapt questions to the audience, instructional context and standards of the organization rather than treating generated output as finished instructional content.
The effectiveness of this model will depend on how useful the initial drafts are, how much editing they require and whether the coverage ratings help designers make better decisions. dominKnow has not supplied quantified results for time savings or improvements in assessment quality in the announcement.
Content privacy and organizational controls
The feature is disabled unless an organization requests that it be enabled. dominKnow says course content is used only to generate questions, is not stored and is never used to train AI models.
Chief technology officer Trey Spiva said the system’s reliance on course-project content, rather than external sources, creates a more clearly defined data flow for IT and security teams to review.
These controls address concerns that can arise when organizations use AI tools to process proprietary training materials, internal procedures or other sensitive information. Keeping the feature off by default until an organization requests activation also gives customers a point at which to consider whether it fits their internal policies.
Organizations will still need to evaluate the implementation against their own security requirements, including access permissions, data handling and any applicable contractual or regulatory obligations. The company’s stated safeguards are relevant to that assessment, but buyers should review the applicable product documentation before enabling the feature.
What the launch means for L&D teams
The AI Question Generator adds assessment drafting and coverage analysis to dominKnow | ONE’s course-authoring workflow. Its value proposition is less about replacing instructional designers than reducing repetitive work so they can concentrate on question quality, learning objectives and instructional decisions.
For L&D teams managing extensive training libraries, the ability to identify potentially under-assessed sections could make course reviews more systematic. The human approval requirement also provides a clear division between AI-generated suggestions and the final assessment published to learners.
The next test will be practical performance: whether the questions are relevant, whether coverage recommendations are useful and how much time designers save after reviewing and editing the output. As dominKnow develops further AI capabilities, customers will also be watching how the company maintains transparency, privacy controls and human oversight.
For now, the launch offers a focused example of AI being embedded in an established learning workflow, with automation aimed at a specific authoring task rather than the entire instructional design process.
Market Landscape
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AI-powered course authoring: Learning platforms are adding generative AI to reduce the time required to produce and maintain digital training content.
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Assessment quality and coverage: dominKnow combines question generation with a review of how thoroughly course sections are assessed.
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Human-in-the-loop design: Requiring instructor approval helps preserve editorial control over questions and final course content.
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Enterprise AI governance: Opt-in activation and stated data-use restrictions address organizational concerns about exposing proprietary learning materials.
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Measuring real-world value: Time saved, question quality and improvements in learner outcomes remain important metrics for evaluating the feature’s effectiveness.
Top Insights
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dominKnow’s AI Question Generator creates draft assessment questions from course-project content in four formats, including multiple choice and fill-in-the-blanks.
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Coverage ratings identify sections classified as Thin, Moderate or Strong and recommend how many questions designers may need to add.
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Designers retain control by reviewing, editing and approving generated questions before they become standard pages in a course.
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The feature is enabled at an organization’s request; dominKnow says course content is not stored or used to train AI models.
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The company plans additional AI capabilities for dominKnow | ONE but has not announced a detailed roadmap or quantified performance results.
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