PALMs, or Perceptual-Adaptive Learning Modules, 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.
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.
We create Perceptual and Adaptive Learning Modules (PALMs) that incorporate revolutionary tools to accelerate learning beyond what is possible using conventional instruction.
Med Insight LT has been at the forefront of researching how the brain learns for over twenty years. See below for details about why this patented technology works. And, see the PALMs Studies and Publications document with research, studies and applications of proven PALMs patented algorithm and design effectiveness in a variety of educational settings.
Optimized Spacing and Sequencing
Their patented adaptive learning technology tailors learning to the individual, using past and current performance to optimize the spacing and sequencing of learning events. Their automated sequencing procedures guarantee that items will not be repeated too soon or too late, both of which can impede learning.
Systematic Approach to Pattern Recognition
PALMs offer, for the first time, systematic ways of teaching pattern recognition. PALMs targeting crucial domains in mathematics and science have been shown to have powerful, long-lasting effects on students' learning.
Adaptive Sequencing & Spacing
At the heart of their modules are patented procedures for determining the order that items appear in during a learning session. The Med Insight LT algorithm takes into account both the accuracy and speed of the learner on various learning items to determine what appears next in order to optimize the learning. Their automated sequencing procedures guarantee that less well-learned items will return sooner, whereas better-learned items are spaced further apart. The algorithm attempts to space out presentations for as long as possible, fostering long-term retention of the material.
PALMs learning modules target perceptual learning. Students gain the ability to “see" patterns and relationships in mathematics and other domains. Perceptual learning is an important component of expertise and often overlooked in traditional classroom instruction.
Deep Learning & Automaticity
PALMs help learners quickly develop deep understanding and automaticity in using difficult concepts and skills.
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.
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.
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.
PALMS offers existing, already developed suites, as seen below, 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.
This collection includes PALMs for training on interpretation of clinical tests related to diagnosing cardiac abnormalities. Examples of such tests are blood pressure determination, 12-lead ECG, bedside cardiac ultrasound, and transesophageal echocardiography.
This collection focuses on training the vocabulary for describing skin lesion morphologies, configurations and distributions as well as identification and discrimination of common dermatologic disorders. PALMs for mixed skin types as well as those specific to dark skin are included.
This collection trains users to distinguish among the basic pathologic processes of cell & tissue injury/repair, acute inflammation, chronic inflammation, and neoplasia as well as normal histology.
This collection uses PALMs to teach interpretation of common clinical tests and measurements made during gynecologic examinations, pregnancy and childbirth. Examples are interpretation of fetal heart rate patterns and colposcopy images.
This collection aims to teach identification of normal anatomy based on CTs, plane field x-rays, MRIs, and ultrasound images as well as training interpretation of pathologies present in these images.
This collection focuses on training identification of ultrasound views (planes) and normal anatomical structures along with discriminating pathologies present in ultrasound images and video clips.
Please take a moment to check out this brief overview of Med Insight LT PALMs Video.
I have been exposed to 3 or 4 ECG software programs, and the PALMs software had the cleanest interface, and presents efficient learning based on sound conceptual framework. I think our medicine residents would certainly benefit from it.
It's a great tool, and reinforces pattern recognition of abnormal ECG characteristics, as well as STEMIs ... You will definitely love it!
I learned EKGs using this module better than any other method in medical school... I think the PALM series is a phenomenal resource for medical students and residents alike and it differentiates itself from other learning modules by its simple but to the point presentations. It covers all the basics and gradually builds up in its level of difficulty preventing burn out and boredom.
These modules were tremendously helpful for me. I found it very helpful to see multiple presentations of everything in order to get a broad scope and intuition for what I was learning. Additionally, the format of the program was fun and interactive, in a way that kept me engaged while pushing me to improve.
It definitely forced me to look at the 'big picture' and try to recognize histopathologic patterns rather than take my time and try to locate individual cells to deduce the pathology.
The repetition drilled it in my head--it provided great practice. Viewing the pathologies in different forms allowed me to see the patterns.
I found the number of slides useful because there is a huge amount of variation with the same condition so seeing one or two examples in class just isn't enough.
This exercise really helped us learn how to recognize the different cellular pathologies (or normal) when compared to each other. Also it is very useful in defining what is normal since normal can be different.
I think it was much easier to learn histopathology when it was shown with contrasting slides. It was also easier to learn by looking at a LOT of images and seeing patterns instead of talking about a small handful -- I found that I learned more in the module than in most classes.
The game-type set up made the exercise fun.
This is very cool!
I found the module to be extremely helpful. It kept me engaged while I was learning the [dermatology] morphologies rather than staring passively at pictures. I wish more of these types of modules could be incorporated into the curriculum.