Results 211 to 220 of about 408,950 (311)

Development of a framework for implementing digital serious games in anatomy education: A single‐centre qualitative study

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Serious games are emerging as innovative tools in medical education, yet their adoption in anatomy teaching remains limited due to educator hesitancy, institutional constraints, and design challenges. This qualitative study explores the perspectives of anatomy educators on digital serious games and proposes a framework for their implementation.
Arthur Chin Haeng Lau, James Pickering
wiley   +1 more source

Data, not documents: Moving beyond theories of information‐seeking behavior to advance data discovery

open access: yesJournal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 649-664, April 2025.
Abstract Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek.
Anthony J. Million   +3 more
wiley   +1 more source

Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science

open access: yesJournal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 703-717, April 2025.
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto   +2 more
wiley   +1 more source

Psychology of Justice and Fairness

open access: yesThe Proceedings of the Annual Convention of the Japanese Psychological Association, 2018
Ken-ichi Ohbuchi, Masahiro Tsujimoto
openaire   +2 more sources

Risk‐aware safe reinforcement learning for control of stochastic linear systems

open access: yesAsian Journal of Control, EarlyView.
Abstract This paper presents a risk‐aware safe reinforcement learning (RL) control design for stochastic discrete‐time linear systems. Rather than using a safety certifier to myopically intervene with the RL controller, a risk‐informed safe controller is also learned besides the RL controller, and the RL and safe controllers are combined together ...
Babak Esmaeili   +2 more
wiley   +1 more source

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