Results 61 to 70 of about 6,178,397 (360)

A Batch Learning Framework for Scalable Personalized Ranking

, 2017
In designing personalized ranking algorithms, it is desirable to encourage a high precision at the top of the ranked list. Existing methods either seek a smooth convex surrogate for a non-smooth ranking metric or directly modify updating procedures to ...
Liu, Kuan, Natarajan, Prem
core   +1 more source

Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis

Electronics
This paper reviews the literature on integrating AI in e-learning, from the viewpoint of cognitive neuropsychology, for Personalized Learning (PL) and Adaptive Assessment (AA).
C. Halkiopoulos, E. Gkintoni
semanticscholar   +1 more source

ChatGPT and Personalized Learning: Opportunities and Challenges in Higher Education

International Journal of Academic Research in Business and Social Sciences, 2023
This paper examines the potential opportunities and challenges of using Chat GPT in personalized learning in higher education. The paper begins by highlighting the problem of providing personalized learning experiences to meet the diverse needs and ...
Mohd Azman Abas, Sathi Eswari Arumugam, M. Yunus, K. R. M. Rafiq   +3 more
semanticscholar   +1 more source

Perspectives in educating molecular pathologists on liquid biopsy: Toward integrative, equitable, and decentralized precision oncology

Molecular Oncology, EarlyView.
Liquid biopsy enables minimally invasive, real‐time molecular profiling through analysis of circulating biomarkers in biological fluids. This Perspective highlights the importance of training pathologists through integrative educational programs, such as the European Masters in Molecular Pathology, to ensure effective and equitable implementation of ...
Marius Ilié, Umberto Malapelle, Catherine Alix‐Panabières, Claus Lindbjerg Andersen, Sandra Chlebowski, Vivien Lake, Caroline Lacoux, Virginie Lespinet‐Fabre, Olivier Bordone, Simon Heeke, Christophe Bontoux, Ellen Heitzer, Klaus Pantel, Paul Hofman   +13 more
wiley   +1 more source

MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions

Scientific Reports
Identification and diagnosis of tobacco diseases are prerequisites for the scientific prevention and control of these ailments. To address the limitations of traditional methods, such as weak generalization and sensitivity to noise in segmenting tobacco ...
Zili Chen, Yilong Peng, Jiadong Jiao, Aiguo Wang, Laigang Wang, Wei Lin, Yan Guo   +6 more
doaj   +1 more source

Analyzing the Impact of Artificial Intelligence in Personalized Learning and Adaptive Assessment in Higher Education

International journal of research and scientific innovation, 2023
This This research aims to examine the impact of AI on personalized learning and adaptive assessment in higher education and investigate the ethical and social implications of using AI in these contexts.
Bundit Anuyahong, Chalong Rattanapong, Inteera Patcha   +2 more
semanticscholar   +1 more source

Developing evidence‐based, cost‐effective P4 cancer medicine for driving innovation in prevention, therapeutics, patient care and reducing healthcare inequalities

Molecular Oncology, EarlyView.
The cancer problem is increasing globally with projections up to the year 2050 showing unfavourable outcomes in terms of incidence and cancer‐related deaths. The main challenges are prevention, improved therapeutics resulting in increased cure rates and enhanced health‐related quality of life.
Ulrik Ringborg, Joachim von Braun, Julio Celis, Anton Berns, Michael Baumann, Tit Albreht, Nancy Abou‐Zeid, Vanderlei Bagnato, Christian Brandts, Chien‐Jen Chen, Massimiliano di Pietro, Manjit Dosanjh, Thomas Dubois, Alexander Eggermont, Angelika Eggert, Ingemar Ernberg, Sara Faithfull, Johannes Förner, Stefan Fröhling, Manuel Heitor, Leroy Hood, Wei Jiang, Bengt Jönsson, Ravi Kannan, Maria Leptin, Su Li, Peter Lindgren, Douglas Lowy, Jun Ma, Alex Markham, Péter Nagy, Simon Oberst, M. Iqbal Parker, Danielle Rodin, Kevin Ryan, Joachim Schüz, Richard Sullivan, Josep Tabernero, Peter Turkson, Oliver Várhelyi, Harold Varmus, Chijie Wang, Elisabete Weiderpass, Nils Wilking   +43 more
wiley   +1 more source

AI-enabled personalized learning: empowering management students for improving engagement and academic performance

Vilakshan - XIMB Journal of Management
Purpose In today’s highly competitive world, the purpose of this research is to emphasize the increasing significance of management education and advocate for the adoption of innovative teaching approaches, specifically focusing on artificial ...
Adil Ellikkal, S. Rajamohan
semanticscholar   +1 more source

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

Molecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source

Crossmedia personalized learning contexts

Proceedings of the 21st ACM conference on Hypertext and hypermedia, 2010
The trends in convergence, integration and co-existence of various media technologies are creating new opportunities for the globalization of learning practices. The emerging era of lifelong learning is calling for flexible environments. Interactive television (iTV) holds a great potential in this scenario, but there is still limited research in terms ...
Prata, Alcina, Guimarães, Nuno, Chambel, Teresa   +2 more
openaire   +2 more sources