Publication search
with adaptive learning as keyword

Closing the Gap? The Ability of Adaptive Learning Courseware to Close Outcome Gaps in Principles of Microeconomics

Research shows that students who identify as low-income, first-generation, and/or racially diverse disproportionately underperform in college and earn fewer degrees than other students. This study explores the integration of adaptive learning courseware assignments as a tool to help close these outcome gaps and to ensure more equitable learning acr...

Machine Psychology: integrating operant conditioning with the non-axiomatic reasoning system for advancing artificial ge...

Published in Frontiers in Robotics and AI

This paper presents an interdisciplinary framework, Machine Psychology, which integrates principles from operant learning psychology with a particular Artificial Intelligence model, the Non-Axiomatic Reasoning System (NARS), to advance Artificial General Intelligence (AGI) research. Central to this framework is the assumption that adaptation is fun...

Migrainous vertigo impairs adaptive learning as a function of uncertainty

Published in Frontiers in Neurology

Objective In this study, we examined whether vestibular migraine, as a source of increased perceptual uncertainty due to the associated dizziness, interferes with adaptive learning. Methods The IOWA gambling task (IGT) was used to assess adaptive learning in both healthy controls and patients with migraine-related dizziness. Participants were prese...

Affective Computing in Augmented Reality, Virtual Reality, and Immersive Learning Environments

As students’ affective states can differ between learning that occurs in traditional classrooms when compared with learning that takes place in extended reality and immersive learning environments, it is important to examine the role of affective computing. Therefore, this study aims to provide an overview regarding the use of affective computing i...

Lightlore: An Adaptation Framework for Design and Development of xAPI-Based Adaptive Context-Aware Learning Environments...

The age of pervasive computing has initiated a boom in the development of adaptive context-aware learning environments (ACALEs), i.e., systems that are capable of detecting a learner’s context and providing adaptive learning services based on this context. Many of the existing educational systems were developed as standalone applications for specif...

Adaptive Learning Components for Pre-University Students

Published in Proceedings of the International Conference on Business Excellence

The majority of those teaching students in Romanian pre-university education use digital educational resources, educational platforms, and applications that employ artificial intelligence both in the teaching process and in evaluation to support student motivation and improve school results through learning adapted to the needs of the students. Dur...

Adaptive spatial-temporal neural network for ADHD identification using functional fMRI

Published in Frontiers in Neuroscience

Computer aided diagnosis methods play an important role in Attention Deficit Hyperactivity Disorder (ADHD) identification. Dynamic functional connectivity (dFC) analysis has been widely used for ADHD diagnosis based on resting-state functional magnetic resonance imaging (rs-fMRI), which can help capture abnormalities of brain activity. However, mos...

A Multi-Hyperspectral Image Collaborative Mapping Model Based on Adaptive Learning for Fine Classification

Hyperspectral (HS) data, encompassing hundreds of spectral channels for the same area, offer a wealth of spectral information and are increasingly utilized across various fields. However, their limitations in spatial resolution and imaging width pose challenges for precise recognition and fine classification in large scenes. Conversely, multispectr...