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Acrobatiq is founded on 12 years of research at Carnegie Mellon's Open Learning Initiative, which proved strong correlations between learning activities and learning gains. This Learn by Doing approach, paired with personalized learning, is essential for improving student success.

Reveal what students do/do not learn.
Quantify how well students have learned each learning objective.
Identify consequential patterns in students’ learning behaviors.
Measure effectiveness of instructional design and identify underperforming content.
Personalize the learning experience for students.

The SmartStart engine uses natural language processing and machine learning to automate the conversion of static content into interactive courseware in hours. With one click, SmartStart creates topical lessons, identifies clear learning objectives, and generates embedded practice.
The Learner Experience Before and After SmartStart
Typical etext page
SmartStart output: a lesson with a learning objective and embedded practice questions
Give course design teams access to a comprehensive and cutting-edge course design canvas.
Quickly build, customize, and continuously improve courseware.
Support multiple content, assessment, and question types, providing flexibility in overall course design.

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