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Evaluation of a Problem-Based Learning Program’s Effect on Artificial Intelligence Ethics Among Japanese Medical Students: Mixed Methods Study

JMIR Medical Education
BackgroundThe rapid advancement of artificial intelligence (AI) has had a substantial impact on medicine, necessitating the integration of AI education into medical school curricula. However, such integration remains limited.
Yuma Ota, Yoshikazu Asada, Saori Kubo, Takeshi Kanno, Machiko Saeki Yagi, Yasushi Matsuyama   +5 more
doaj   +2 more sources

An Artificial Neural Network–Based Pediatric Mortality Risk Score: Development and Performance Evaluation Using Data From a Large North American Registry

JMIR Medical Informatics, 2021
BackgroundIn the pediatric intensive care unit (PICU), quantifying illness severity can be guided by risk models to enable timely identification and appropriate intervention.
Niema Ghanad Poor, Nicholas C West, Rama Syamala Sreepada, Srinivas Murthy, Matthias Görges   +4 more
doaj   +1 more source

The "DeMAND" coding scheme: A "common language" for representing and analyzing student discourse [PDF]

, 2009
We propose that a set of five dimensions forms a foundation underlying a number of prevalent theoretical perspectives on learning. We show how student contributions to instructional dialogue can be reliably annotated with these dimensions.
Callaway, Charles B., Campbell, Gwendolyn E., Dzikovska, Myroslava, Farrow, Elaine, Moore, Johanna D., Steinhauser, Natalie B.   +5 more
core   +1 more source

Cyber Buddy is Better than No Buddy: A Test of the Köhler Motivation Effect in Exergames. [PDF]

, 2014
Objective: Although exergames are popular, few people take advantage of the potential of group dynamics to motivate play (and achieve associated health bene?ts).
Feltz, Deborah L., Forlenza, Samuel T., Kerr, Norbert L., Winn, Brian   +3 more
core   +1 more source

Automated metamorphic testing on the analyses of feature models [PDF]

, 2011
Copyright © 2010 Elsevier B.V. All rights reserved.Context: A feature model (FM) represents the valid combinations of features in a domain. The automated extraction of information from FMs is a complex task that involves numerous analysis operations ...
Antonio Ruiz-Cortés, Batory, Batory, Benavides, Benavides, Chan, Chan, Chan, Chen, Chen, Chen, Chen, Clements, David Benavides, DeMillo, Gotlieb, Ma, Mannion, Murphy, Murphy, Myers, Robert M. Hierons, Schobbens, Segura, Sergio Segura, Smith, Trinidad, van der Storm, van Deursen, Wang, Weyuker, White, Zhang   +32 more
core   +2 more sources

“Teaching To the Test” Family of Fallacies

Revista Iberoamericana de Evaluación Educativa, 2017
This article explains the various meanings and ambiguities of the phrase “teaching to the test” (TttT), describes its history and use as a pejorative, and outlines the policy implications of the popular, but fallacious, belief that “high stakes” testing ...
Richard P. Phelps
doaj   +1 more source

Develop an esthetic-zonal non-invasive periodontal assessment tool based on YOLOv8 and intraoral images [PDF]

PeerJ Computer Science
Objective Non-periodontal specialists (e.g., orthodontists and prosthodontists) often struggle to efficiently monitor periodontal health in the anterior esthetic zone.
Jiawei Hong, Shoushan Hu, Zihua Tang, Houpeng Li, Zhihe Zhao, Jianru Yi   +5 more
doaj   +2 more sources

Oversampling for Imbalanced Learning Based on K-Means and SMOTE

, 2017
Learning from class-imbalanced data continues to be a common and challenging problem in supervised learning as standard classification algorithms are designed to handle balanced class distributions. While different strategies exist to tackle this problem,
Bacao, Fernando, Douzas, Georgios, Last, Felix   +2 more
core   +1 more source

claspfolio 2: Advances in Algorithm Selection for Answer Set Programming

, 2014
To appear in Theory and Practice of Logic Programming (TPLP). Building on the award-winning, portfolio-based ASP solver claspfolio, we present claspfolio 2, a modular and open solver architecture that integrates several different portfolio-based ...
Hoos, Holger, Lindauer, Marius, Schaub, Torsten   +2 more
core   +1 more source

Recurrent Neural Networks with Top-k Gains for Session-based Recommendations

, 2018
RNNs have been shown to be excellent models for sequential data and in particular for data that is generated by users in an session-based manner.
Al-Rfou Rami, Cho Kyunghyun, Hidasi Balázs, Ji Shihao, Rendle S., Rendle Steffen   +5 more
core   +1 more source