ArticleMedical teacher2018
Accelerating expertise: Perceptual and adaptive learning technology in medical learning.
Article in Medical teacher, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06533488 (Evaluation of the Impact of a Perceptual Learning Module), which is not on this map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Evaluation of the Impact of a Perceptual Learning Module (PLM) on the Sonographic Identification of Spinal Structures by Novice Anesthesiology Residents. A Randomized Controlled Study
Who cites it
18 citing papers in PubMed.
- Perceptual learning enhances diabetic retinopathy detection skills in novice optometry students.BMC medical education · 2026Trial
- Is This Still Medical Education? The Educational Use of Nude Pediatric Clinical Photographs: Bioethical Reassessment.JMIR medical education · 2026Article
- Supporting the Learning of Visual Perception Skills in Cytology Through a Computational Tool: Development and Evaluation Study.JMIR formative research · 2026Article
- Variability-Adaptive IV insertion training with dual haptic feedback in mixed reality.Medical & biological engineering & computing · 2026Article
- The dynamic case-based learning model: conducive to enhancing the practical learning effectiveness of dermatology for medical students.BMC medical education · 2025Article
- The effects of procedural and conceptual knowledge on visual learning.Advances in health sciences education : theory and practice · 2024Article
- Connecting Adaptive Perceptual Learning and Signal Detection Theory in Skin Cancer Screening.CogSci ... Annual Conference of the Cognitive Science Society. Cognitive Science Society (U.S.). Conference · 2023Article
- Multiple expressions of "expert" abnormality gist in novices following perceptual learning.Cognitive research: principles and implications · 2023Article
- Perceptual learning modules in undergraduate dermatology teaching.Clinical and experimental dermatology · 2022Article
- Instructional Strategies to Enhance Dermoscopic Image Interpretation Education: a Review of the Literature.Dermatology practical & conceptual · 2022Review
- Novel Diagnostic Educational Resource: Use of a web-based adaptive learning module to teach inflammatory reaction patterns in dermatopathology to medical students, residents, and fellows.Journal of pathology informatics · 2022Article
- Transforming Surgical Education through a Resident Robotic Curriculum.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2021Article
- Response to: 'Mindful Medical Education Online'.Medical science educator · 2021Article
- Evaluating the Use of Supplemental Training Technologies in Dermatology Education.Journal of dermatology for physician assistants : Official journal of the Society of Dermatology Physician Assistants · 2021Article
- Use of an Adaptive e-Learning Platform as a Formative Assessment Tool in the Cardiovascular System Course Component of an MBBS Programme.Advances in medical education and practice · 2020Article
- Enhancing Anatomy Education Throu€gh Flipped Classroom and Adaptive Learning A Pilot Project on Liver Anatomy.Journal of medical education and curricular developmentArticle
- The Use of a Hemodynamic Monitor Perceptual and Adaptive Learning Module to Improve Clinical Interpretation Skills in Anesthesiology Residents.The journal of education in perioperative medicine : JEPMArticle
- Novel Education Modules Addressing the Underrepresentation of Skin of Color in Dermatology Training.Journal of cutaneous medicine and surgeryArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
rationaleRecent advances in the learning sciences offer remarkable potential for improving medical learning and performance. Difficult to teach pattern recognition skills can be systematically accelerated using techniques of perceptual learning (PL). The effectiveness of PL interventions is amplified when they are combined with adaptive learning (AL) technology in perceptual-adaptive learning modules (PALMs). INNOVATION: Specifically, PALMs incorporate the Adaptive Response Time-based Sequencing (ARTS) system, which leverages learner performance (accuracy and speed) in interactive learning episodes to guide the course of factual, perceptual, or procedural learning, optimize spacing, and lead learners to comprehensive mastery. Here we describe elements and scientific foundations of PL and its embodiment in learning technology. We also consider evidence that AL systems utilizing both accuracy and speed enhance learning efficiency and provide a unified account and potential optimization of spacing effects in learning, as well as supporting accuracy, transfer, and fluency as goals of learning.
resultsTo illustrate this process, we review some results of earlier PALMs and present new data from a PALM designed to accelerate and improve diagnosis in electrocardiography.
conclusionsThrough relatively short training interventions, PALMs produce large and durable improvements in trainees' abilities to accurately and fluently interpret clinical signs and tests, helping to bridge the gap between novice and expert clinicians.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.