Adaptive learning powered by AI-generated questions from your own course videos and automatically linked to your course learning objectives
How Question Generation Works
Diagram illustrating how questions are generated automatically in LearningClues based on class discussion
Question Generation Process
Video uploaded or auto-ingested from LMS.
Transcript segmented into topics using LLMs.
Multiple choice questions are generated for each segment.
Questions evaluated using both human-informed and automated metrics.
Questions linked to course learning objectives and added to the adaptive learner dashboard.
Why Instructional Designers Should Care
Question Generation Saves Time: No need to write questions manually — high-quality questions are generated instantly.
Aligned to Outcomes: Each question can be mapped to specific course objectives.
Improves Engagement: Questions are personalized and can be delivered daily to students.
Scaffolds Learning: Review earlier material when it’s relevant — boosting retention and reducing DFW rates.
Flexible Use: Use for in-video quizzes, formative assessments, or practice exams.
How Adaptive Learning Works
Example of practice quiz generated by student after choosing which learning objectives to include in the quiz.
LearningClues personalizes the learning experience by tracking each student's proficiency against course learning objectives. Students can generate practice exams using questions automatically linked to class discussions and course materials. As students answer these questions, their responses are analyzed to estimate their mastery of each objective. This evolving profile helps:
Identify strengths and gaps in understanding
Resurface concepts from previous or concurrent courses when needed
Recommend targeted questions for reinforcement
The result is a dynamic, personalized study plan that helps students focus their time effectively and continuously build on prior knowledge.
