Khan Academy will launch a new interim assessment system for the 2027-28 school year. The tool connects testing data directly to personalized practice paths, showing teachers where students struggle. It uses real-time adjustments and conversational AI prompts to turn routine tests into active learning sessions.
What Happened
According to the official announcement from Khan Academy, the new Khan Academy Interim Assessments will roll out for the 2027-2028 school year. Students will take these computer-adaptive tests three times a year during a single class period. The tests pull 22 to 30 questions that adapt to a student's performance level. In the "Explain Your Thinking" feature, students talk through their mathematical reasoning to generate AI diagnostic insights. An assistant named "Khanductor" guides students and tells them to slow down if they rush. Teachers can review and approve the recommended learning paths before they appear on student dashboards. This system addresses the need for active learning strategies, which we cover in our guide on active practice in classrooms.
The Bigger Picture
Educators often struggle with assessment fatigue, which happens when schools test students frequently without the resources to act on the data. Research shows that well-designed interim assessments have strong predictive validity for high-stakes end-of-year exams, but the immediate cognitive impact on students remains a concern. Researchers study adaptive testing formats to see how they impact student cognitive load and testing effort. When used correctly, these platforms can work well. A recent study in Peru found that secondary students using a machine-learning adaptive platform scored nearly double the cognitive learning gains of peers in traditional classrooms. Formative assessments are historically effective. A 2026 meta-analysis found they have a moderate, positive impact on K-12 learning, though traditional paper-and-pencil methods sometimes outperform basic digital tools. To close this gap, modern digital systems use advanced diagnostic tools. Research on automated learning diagnosis shows that AI-supported feedback works best when paired with human teachers who review and expand upon the digital diagnoses.
What This Means for Families
For parents and educators, connecting tests directly to customized math paths addresses a common frustration: students getting stuck in repetitive remediation loops. Other platforms use different methods to balance this. For example, Imagine+ Math places students in grade-level work by default. It only suggests lower-level help when students score significantly below grade level, keeping control with teachers. Similarly, Imagine MyPath uses mastery checks to help students skip redundant practice, while DreamBox Math uses adaptive pathways to prioritize core state standards first. Khan Academy's model keeps teachers in charge by requiring them to approve recommended adaptive paths. This oversight is important. Rushing to buy software without a clear plan often leads to poor outcomes. Giving teachers the power to approve lessons helps keep students on track for grade-level success.
What You Can Do
To support this transition, you can start by asking school administrators how they plan to use interim assessments and if they will pilot Khan Academy's system. If your child's school already uses adaptive math software, regularly check their dashboard to make sure they are not stuck in below-grade-level loops. You can also have your children explain how they solved math problems at home, which mirrors the digital "Explain Your Thinking" tool and builds conceptual understanding.