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Harnessing Artificial Intelligence for Personalized Learning: A Systematic Review

Data and Metadata, 2023
Introduction: The document presents a comprehensive review of the utilization of Artificial Intelligence (AI) in personalized learning within the educational context.
Zainab Rasheed, Sameh Ghwanmeh, A. Abualkishik   +2 more
semanticscholar   +1 more source

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong, Min‐Hee Lee, Hiroshi Uda, Yoon Ho Hwang, Michael Behen, Aimee Luat, Csaba Juhász, Eishi Asano   +7 more
wiley   +1 more source

Case studies of personalized learning [PDF]

, 2016
Deliverable 4.1, Literature review of personalised learning and the Cloud, started with an evaluation and synthesis of the definitions of personalized learning, followed by an analysis of how this is implemented in a method (e-learning vs.
Berankova, Tereza, Bosse, Ingo, Brotankova, Zuzana, Colaiuda, Cincia, Contiu, Lia, Cotoara, Angela, Donert, Karl, Doppler, Gerhard, Elpida, Christiou, Georgiades, Eric, Jenal, Flurina, Jörger, Ladina, Lambrinos, Nikos, Marti, Bernhard, Pigaki, Maria, Skupova, Dagmar, Solar, Renata, Sotiriou, Chryssanthe, Treier, Raymond, Tuicu, Katerina, Valcke, Andries, Woloszynska-Wisniewska, Elzbieta, Zwartjes, Luc   +22 more
core   +1 more source

Plasma Proteomic Signatures for Alzheimer's Disease: Comparable Accuracy to ATN Biomarkers and Cross‐Platform Validation

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background There is growing recognition of the potential of plasma proteomics for Alzheimer's Disease (AD) risk assessment and disease characterization. However, differences between proteomics platforms introduce uncertainties regarding cross‐platform applicability.
Manyue Hu, Oliver Robinson, Christina M. Lill, Anna Matton, Raquel Puerta, Pilar Sanz, Merce Boada, Agustín Ruiz, Lefkos Middleton, for the Alzheimer's Disease Neuroimaging Initiative   +9 more
wiley   +1 more source

Responsive Open Learning Environments at the Open University [PDF]

, 2012
Personal Learning Environments (PLEs) offer new opportunities for supporting personalized and self regulated learning both in formal and in informal education.
Connolly, Teresa, Mikroyannidis, Alexander   +1 more
core  

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Blending Learning: The Evolution of Online and Face-to-Face Education from 20082015 [PDF]

, 2015
In 2008, iNACOL produced a series of papers documenting promising practices identified throughout the field of K–12 online learning. Since then, we have witnessed a tremendous acceleration of transformative policy and practice driving personalized ...
Allison Powell, John Watson, Jonathan Oglesby, Laura Hibbard, Leslie Fetzer, Michael Horn, Patrick Staley, Su Verma, Susan Patrick   +8 more
core  

The Impact of Adaptive Learning Technologies, Personalized Feedback, and Interactive AI Tools on Student Engagement: The Moderating Role of Digital Literacy

Sustainability
Using adaptive learning technologies, personalized feedback, and interactive AI tools, this study investigates how these tools affect student engagement and what the mediating role of individuals’ digital literacy is at the same time.
Husam Yaseen, Abdelaziz Saleh Mohammad, Najwa Ashal, H. Abusaimeh, A. Ali, A. Sharabati   +5 more
semanticscholar   +1 more source

GPTutor: Great Personalized Tutor with Large Language Models for Personalized Learning Content Generation [PDF]

ACM Conference on Learning @ Scale
We developed GPTutor, a pioneering web application designed to revolutionize personalized learning by leveraging the capabilities of Generative AI at scale.
Eason Chen, Jia-En Lee, Jionghao Lin, Kenneth R. Koedinger   +3 more
semanticscholar   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source