Results 51 to 60 of about 6,178,397 (360)

Adaptation “in the Wild”: Ontology-Based Personalization of Open-Corpus Learning Material [PDF]

, 1934
Teacher and students can use WWW as a limitless source of learning material for nearly any subject. Yet, such abundance of content comes with the problem of finding the right piece at the right time.
N. Henze, C. Carmona, J. Jovanović, T. Apted, P. Brusilovsky, P. Brusilovsky   +5 more
core   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

Incorporating personalized learning in a role-playing game environment via SID model: a pilot study of impact on learning performance and cognitive load

Smart Learning Environments, 2022
While role-playing games and personalized learning have been regarded as effective tools to improve students’ learning, incorporating personalized learning into role-playing games is challenging and approaches are limited to cognitive and motivational ...
Lin Zhong
doaj   +1 more source

Personalized Intervention based on the Early Prediction of At-risk Students to Improve Their Learning Performance

Educational Technology & Society, 2023
To improve students’ learning performance through review learning activities, we developed a personalized intervention tutoring approach that leverages learning analysis based on artificial intelligence.
Anna Y. Q. Huang, Jei Wei Chang, Albert C. M. Yang, Hiroaki Ogata, Shun Ting Li, Ruo Xuan Yen, Stephen J. H. Yang   +6 more
doaj   +1 more source

Empowering Personalized Learning through a Conversation-based Tutoring System with Student Modeling [PDF]

CHI Extended Abstracts
As the recent Large Language Models(LLM’s) become increasingly competent in zero-shot and few-shot reasoning across various domains, educators are showing a growing interest in leveraging these LLM’s in conversation-based tutoring systems.
Minju Park, Sojung Kim, Seunghyun Lee, Soonwoo Kwon, Kyuseok Kim   +4 more
semanticscholar   +1 more source

Personalized Learning Paths: Adapting Education with AI-Driven Curriculum

European Economic Letters, 2023
: Purpose: This review research paper aims to investigate the impact of personalized learning paths facilitated by artificial intelligence (AI) on educational outcomes.
Dr. A.V.N.S.Sharma, Dr. Mahesh Sudhakar Naik, Dr. S. Radhakrishnan   +2 more
semanticscholar   +1 more source

Improving PARP inhibitor efficacy in bladder cancer without genetic BRCAness by combination with PLX51107

Molecular Oncology, EarlyView.
Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz, Anna L. Bartkowiak, Michael Rose, Nora Kolks, Patrick Petzsch, Vandana Solanki, Anne Stoffel, Bianca Faßbender, Leandra Lepping, Julka Volkamer, Karl Köhrer, Marc Seifert, Tokameh Mahmoudi, Tahlita C. M. Zuiverloon, Günter Niegisch, Michèle J. Hoffmann   +15 more
wiley   +1 more source

A STUDY ON "AI IN EDUCATION: OPPORTUNITIES AND CHALLENGES FOR PERSONALIZED LEARNING

Industrial Engineering Journal, 2023
The use of Artificial Intelligence (AI) in education has the potential to revolutionize the way we teach and learn, making education more personalized, engaging, and effective.
E. Grace, Lecturer P. Vidhyavathi, Lecturer P. Malathi   +2 more
semanticscholar   +1 more source

Methylation biomarkers can distinguish pleural mesothelioma from healthy pleura and other pleural pathologies

Molecular Oncology, EarlyView.
We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck, Nele De Meulenaere, Thomas Vanpoucke, Joe Ibrahim, Dieter Peeters, Suresh Krishan Yogeswaran, Wen Wen, Paul Van Schil, Jeroen M. H. Hendriks, Jo Raskin, Jan van Meerbeeck, Guy Van Camp, Ken Op de Beeck   +12 more
wiley   +1 more source

The Influence of Personalized Web-Based Learning on The Mastery and Application of Concepts in Students with Different Learning Styles

Jurnal Teknologi Pendidikan
Conventional learning has limitations, leading researchers to propose personalized web-based learning tailored to individual student characteristics.
Abdul Haris Indrakusuma, Punaji Setyosari, Sulton, Waras   +3 more
doaj   +1 more source