(29 March 2017) PALMs, or Perceptual-Adaptive Learning Modules, from Med Insight LT are a revolutionary advanced learning technology using a patented combination of perceptual and adaptive sequencing based on both accuracy and speed of learners to improve learning and retention of information over regular didactic methods.
PALMs will:
- Improve learning outcomes and long term retention of information
- Set learning points and track students’ progress in learning these points until they achieve a mastery level
- Engage more students and faculty to save time and costs
- With customization, integrate your own course materials to create your own PALMs and/or choose from the already developed modules available
Developed by Dr. Phillip Kellman, the principal investigator at UCLA Human Perception Lab and his team of researchers and supported by detailed studies and research, the PALMs product is the only learning technology that offers this adaptive sequencing based on speed and accuracy of learners’ responses with the ability to provide feedback.
PALMs Features:
Deep Learning & Automaticity: PALMs help learners quickly develop deep understanding and automaticity in using of difficult concepts and skills.
Research-Proven Techniques: Years of scientific research in laboratories at UCLA and the University of Pennsylvania reveal that the adaptive learning algorithms used by Med Insight LT greatly reduce learning time and ensure strong retention.
Tailored Feedback: PALMs offer unique opportunities for rich feedback that is incorporated directly into the ongoing learning session. This immediate feedback helps learners master the patterns and relationships that underlie correct answers.
Objective Learning Criteria: PALMs set an objective standard of mastery for every category of items to be learned, allowing educators to monitor the status of each individual’s progress through to learning points/categories (e.g., diagnoses, anatomical identifications) and make sure that the learning experience is complete.
Tracking and Assessment: In addition to tracking individual items, overall performance is tracked and monitored. PALMs, coupled with Assessments, offer unprecedented opportunities for exposing and giving additional practice in areas of the individual learner’s weaknesses.
Retirement: Once each category of items has become particularly well-learned – after several spaced, accurate answers, each made within a targeted response time – it is retired from the learning set for that session, thereby focusing the learner’s efforts on material that still needs to be mastered.
Sequenced vs. Un-sequenced Modes: The Sequenced Mode guides learners through a series of learning events: pre-test, training, post-test, optional further practice, and an optional delayed test. The Un-sequenced Mode puts learners in charge of their own learning style, allowing them to work on training modules or assessments in any order and as frequently as desired.
Robust User Management: Our administrator tools allow educators to create online schools and manage instructors, classes, and individual learners, as well as easily set different learning styles for individuals or groups.
Powerful Score Reporting: A Score Reporter benefits both learners and educators by representing every feature of the individual’s learning progress, such as difficulty in mastering each learning point/category, individual performance history, and more.
How is it Offered?
PALMS offers existing, already developed suites, as seen here, ready for purchase. Or, in place of or in addition to purchasing already created suites, there are options to customize and build your own suites using specific institutionally-owned materials and existing curricula content.
- Choose from already developed suites
- Customize and build your own PALMS using your course materials and content
- Include both the existing PALMs suites as well as create your own custom suites
Med Insight LT has formed a strategic partnership with STAT!Ref to make the resources available for academic and institutional clients.
The announcement is here.
