Knowillage Releases Adaptive Learning Development Tool for Canvas

Knowillage Systems has released Knowillage LEArning Path (LeaP), a personalized and adaptive learning development tool for the Instructure Canvas learning management system (LMS).

Knowillage LeaP is integrated with Canvas using the Canvas External Tools extensions, so teachers can use Knowillage LeaP to create personalized learning paths and assessments for their students using their existing course content and outcomes in Canvas along with openly available educational materials.

Knowillage LeaP uses a semantic engine that simplifies the process of mapping learning materials to objectives, according to the company. Teachers select the desired learning outcomes in Canvas. The Knowillage LeaP semantic engine then automatically selects relevant content from the existing materials, and the teacher can tweak the selection of materials as needed.

The tool offers pre- and post-tests to assess student mastery of material. Knowillage LeaP can then use those assessment results to deliver appropriate learning paths for each student. The test results themselves are recorded in the Canvas gradebook.

The Knowillage LeaP recommendation engine suggests the most effective learning paths through each course's materials, and its activity and feedback engines use objective results to identify the most effective learning materials and adapt the learning paths for each student.

According to a prepared statement from Bill Bilic, founder of Knowillage Systems, Knowillage LeaP "easily connects to existing platforms, uses existing content without the need to modify it, and delivers adaptive learning paths custom made for each student."

Key features of Knowillage LEArning Path include:

  • Creation of dynamic assessments using questions from the Canvas LMS;
  • Integration with Canvas gradebook;
  • Semantic engine that simplifies the process of mapping learning materials to objectives;
  • Support for importing questions into Knowillage LeaP;
  • Pre- and post-tests;
  • Adaptive learning paths based on student assessments;
  • Support for open educational resources; and
  • Support for internal or external assessment tools.

Further information about Knowillage LeaP is available at knowillage.com.

About the Author

Leila Meyer is a technology writer based in British Columbia. She can be reached at [email protected].

Featured

  • stylized illustration of a desktop, laptop, tablet, and smartphone all displaying an orange AI icon

    Survey: AI Shifting from Cloud to PCs

    A recent Intel-commissioned report identifies a significant shift in AI adoption, moving away from the cloud and closer to the user. Businesses are increasingly turning to the specialized hardware of AI PCs, the survey found, recognizing their potential not just for productivity gains, but for revolutionizing IT efficiency, fortifying data security, and delivering a compelling return on investment by bringing AI capabilities directly to the edge.

  • laptop with digital productivity and calendar symbols

    September 2025 Tech Tactics in Education Conference Agenda Announced

    Registration is free for this fully virtual Sept. 25 event, focused on "Overcoming Roadblocks to Innovation" in K-12 and higher education.

  • hand holding globe and environmental icons in front of a green background

    CoSN, SETDA, UDT Release Guidelines for Environmentally Responsible Technology Purchasing

    CoSN and SETDA, in partnership with IT and telecommunications solution provider UDT, recently released a set of Sustainability Procurement Guidelines designed to help K-12 school and district leaders, procurement officers, and technology directors make purchasing decisions that are both environmentally responsible and operationally effective.

  • tutor and student working together at a laptop

    You've Paid for Tutoring. Here's How to Make Sure It Works.

    As districts and states nationwide invest in tutoring, it remains one of the best tools in our educational toolkit, yielding positive impacts on student learning at scale. But to maximize return on investment, both financially and academically, we must focus on improving implementation.