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

  • blue AI cloud connected to circuit lines, a server stack, and a shield with a padlock icon

    Report: AI Security Controls Lag Behind Adoption of AI Cloud Services

    According to a recent report from cybersecurity firm Wiz, nearly nine out of 10 organizations are already using AI services in the cloud — but fewer than one in seven have implemented AI-specific security controls.

  • stacks of glowing digital documents with circuit patterns and data streams

    Mistral AI Intros Advanced AI-Powered OCR

    French AI startup Mistral AI has announced Mistral OCR, an advanced optical character recognition (OCR) API designed to convert printed and scanned documents into digital files with "unprecedented accuracy."

  • robot waving

    Copilot Updates Aim to Personalize AI

    Microsoft has introduced a range of updates to its Copilot platform, marking a new phase in its effort to deliver what it calls a "true AI companion" that adapts to individual users' needs, preferences and routines.

  • teenager interacts with a chatbot on a computer screen

    Character.AI Rolls Out New Parental Insights Feature Amid Safety Concerns

    Chatbot platform Character.AI has introduced a new Parental Insights feature aimed at giving parents a window into their children's activity on the platform. The feature allows users under 18 to share a weekly report of their chatbot interactions directly with a parent's e-mail address.