There are different types of adaptive learning models, such as rule-based, algorithmic, or hybrid, that use different methods and data sources to tailor the learning content and delivery to each ...

As the first volume in the American Medical Association’s MedEd Innovation Series, The Master Adaptive Learner is an instructor-focused guide covering models for how to ... The educators’ experience: ...

Learning models are changing throughout higher education ... As higher education institutions rethink how to best serve their students, adaptive learning is gaining more traction. The concept of ...

Although meta learning has shown promise in model adaptation with small samples, existing meta learning methods remain limited in handling a large number of heterogeneous tasks, e.g., a large number ...

The Adaptive and Learning Agents (ALA) community aims to develop agent-based systems which are autonomous and which employ learning and adaption to achieve their design goals. Inspiration for the ...

The master adaptive learner model makes an important distinction between routine ... Due to performance pressures in many learning environments, students might initially try to hide their knowledge ...

Step 2: Decide on your preferred adoption model. Option A: Apply for CTE’s TEL funding and evaluation study. This option is available to all instructors who have not been funded by CTE for using ...

Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.

Yet the neural mechanism responsible for such adaptive learning has remained ... Our primary finding is that the cascade model of synapses can indeed capture the remarkable flexibility shown by ...