AI-augmented authoring trims the financial and temporal overhead associated with both item creation and rejoinder development while it opens space for deeper editorial engagement.
The Economics of Educational Assessment: The Practical Value of QueryTek in Higher Education Publishing
What distinguishes QueryTek from generic generative AI systems is how it can be integrated easily into a publisher-controlled, discipline-specific framework, one that allows academic editors and domain experts the ability to maintain precision and pedagogical rigor without being mired in the repetitive labor of drafting and formatting.
Expanding the Reach of QueryTek: Assessment Authoring Beyond Academia
QueryTek AI combines subject matter expertise with intelligent language modeling to produce high-quality, discipline-specific assessment content—quickly, accurately, and at scale. This opens the door to applications in corporate training, workforce development, human resources, compliance education, and professional certification.
QueryTek.ai: the New Name for AI-Augmented Assessment Creation
QueryTek is a platform that helps textbook publishers create high-quality assessment content at scale, without compromising the integrity that comes from expert authorship. It accelerates the most time-consuming parts of assessment design while keeping the expert’s voice—tone, depth, and nuance—at the center of the process.
QueryTek Personas, Use Cases & a Scenario
We discuss how we see QueryTek AI being used in academic publishing settings. We’re very excited to share these ideas with you. We hope they inspire you to learn more about QueryTek and how it will save textbook publishers both time and money.
The Case for AI- Augmented Assessment Creation
For decades, building test banks and rejoinders has been a slow grind, one that eats up hundreds of hours as experts write, editors revise, and teams shuffle drafts back and forth. It’s work that demands precision and care, but it’s also repetitive, expensive, and hard to scale when deadlines loom or standards shift.