Results 61 to 70 of about 496,139 (318)

ChatGPT integration significantly boosts personalized learning outcomes: A Philippine study

open access: yesInternational Journal of Educational Management and Development Studies
This study investigated the impact of AI integration, specifically ChatGPT, on personalized learning involving 785 college students in the Philippines who took the online survey. Utilizing regression analysis and an Omnibus ANOVA test, the study examined
Iris Jane G. Agbong-Coates
doaj   +1 more source

The imaginary of personalization in relation to platforms and teacher agency in Denmark

open access: yesNordic Journal of Studies in Educational Policy, 2022
In this theoretical paper, we argue that Tech enthusiasts and skeptics are animated by the same sociotechnical personalization imaginary to improve education and teaching through personalization, but see very different paths to this goal.
Rasmus Leth Jørnø   +2 more
doaj   +1 more source

Metaverse: A Potential Virtual-Physical Ecosystem for Innovative Blended Education and Training

open access: yesJournal of Metaverse, 2023
Recently online education has become quite popular, especially during the recent COVID-19 pandemic situations when mostly few remote synchronous S/W platforms were usually used across the globe.
Susanta Mitra
doaj   +1 more source

Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation [PDF]

open access: yesarXiv, 2022
Personalized dialogue systems explore the problem of generating responses that are consistent with the user's personality, which has raised much attention in recent years. Existing personalized dialogue systems have tried to extract user profiles from dialogue history to guide personalized response generation. Since the dialogue history is usually long
arxiv  

Novel CT radiomics models for the postoperative prediction of early recurrence of resectable pancreatic adenocarcinoma: A single‐center retrospective study in China

open access: yesJournal of Applied Clinical Medical Physics, EarlyView.
Abstract Purpose To assess the predictive capability of CT radiomics features for early recurrence (ER) of pancreatic ductal adenocarcinoma (PDAC). Methods Postoperative PDAC patients were retrospectively selected, all of whom had undergone preoperative CT imaging and surgery. Both patients with resectable or borderline‐resectable pancreatic cancer met
Xinze Du   +7 more
wiley   +1 more source

GPT-Empowered Personalized eLearning System for Programming Languages

open access: yesApplied Sciences, 2023
The eLearning approach to programming language instruction has gained widespread acceptance due to advantages such as accessibility, temporal flexibility, and content reusability.
Jennifer Jin, Mira Kim
doaj   +1 more source

Domain-specific Learning of Multi-scale Facial Dynamics for Apparent Personality Traits Prediction [PDF]

open access: yesarXiv, 2022
Human personality decides various aspects of their daily life and working behaviors. Since personality traits are relatively stable over time and unique for each subject, previous approaches frequently infer personality from a single frame or short-term behaviors. Moreover, most of them failed to specifically extract person-specific and unique cues for
arxiv  

Privacy Preserving Machine Learning With Federated Personalized Learning in Artificially Generated Environment

open access: yesIEEE Open Journal of the Computer Society
The widespread adoption of Privacy Preserving Machine Learning (PPML) with Federated Personalized Learning (FPL) has been driven by significant advances in intelligent systems research.
Md. Tanzib Hosain   +4 more
doaj   +1 more source

Personality traits and learning [PDF]

open access: yesBritish Dental Journal, 2021
Shekhar Bhatia, Samantha Kohli
openaire   +2 more sources

Development of a Disease Model for Predicting Postoperative Delirium Using Combined Blood Biomarkers

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Postoperative delirium, a common neurocognitive complication after surgery and anesthesia, requires early detection for potential intervention. Herein, we constructed a multidimensional postoperative delirium risk‐prediction model incorporating multiple demographic parameters and blood biomarkers to enhance prediction accuracy ...
Hengjun Wan   +7 more
wiley   +1 more source

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