Results 201 to 210 of about 15,208,782 (347)

Punchline with(out) purpose: Integrating research on instructional humour and seductive details

British Journal of Educational Psychology, EarlyView.
Abstract Introduction We integrated research on instructional humour and seductive details to investigate when affiliative course‐related humour is effective or rather ineffective for learning. We assumed that instructional humour without a cognitive function (irrelevant humour) would have detrimental effects on learning performance resembling the ...
Lisa Bender, Alexander Renkl, Tino Endres   +2 more
wiley   +1 more source

Behaviorally informed deep reinforcement learning for portfolio optimization with loss aversion and overconfidence. [PDF]

Sci Rep
Charkhestani A, Esfahanipour A.
europepmc   +1 more source

Algorithm aversion revisited: The role of AI literacy and attitudes towards AI in shaping perceptions of AI‐generated texts

British Journal of Educational Technology, EarlyView.
Abstract Scientific publications on AI education frequently express concerns that students at all educational levels, lacking sufficient AI literacy, may become passive learners due to the use of generative language models and blindly trust AI outputs.
Matthias Carl Laupichler, Nils Knoth, Johannes Schleiss, Tobias Raupach   +3 more
wiley   +1 more source

Addressing financial biases in university undergraduates: Unveiling connections with knowledge, behaviours and attitudes. [PDF]

PLoS One
López-Penabad C, Álvarez-Espiño M, Benito-Torres L.   +2 more
europepmc   +1 more source

Deep learning for fluorescence confocal microscopy image interpretation in radical prostatectomy

BJU International, EarlyView.
Objective To develop and validate a deep learning model for interpretation of fluorescence confocal microscopy (FCM) images for intraoperative surgical margin assessment during radical prostatectomy (RP). Patients and Methods Fluorescence confocal microscopy images from the multicentre Imperial Prostate 8‐Fluorescence Confocal Microscopy for Rapid ...
Lixiang Fang, Nikhil Mayor, Alexander Light, Anna Silvanto, Aiman Haider, Chase Ng, Archana Gopalakrishnan, Ranil Johann Boaz, Mariana Bertoncelli Tanaka, Bijan Khoubehi, Giles Hellawell, Ricardo Almeida‐Magana, Larissa Mendes, Eoin Dinneen, Greg Shaw, Ben Challacombe, Paul Cathcart, Martin J. Connor, Taimur T. Shah, Hashim U. Ahmed, Francesca Fiorentino, Stamatia Giannarou, Mathias Winkler   +22 more
wiley   +1 more source

A crisis of overconfidence: Why confidence, not accuracy, is the real risk in clinical AI. [PDF]

BioData Min
Berkowitz JS, Patock JR, Nawaz A, Gonzalez-Hernandez G, Tatonetti NP.   +4 more
europepmc   +1 more source

A tutorial on Bayesian model averaging for exponential random graph models

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo, Jan‐Willem Simons, Haiyan Liu   +2 more
wiley   +1 more source

Do opinion leaders know more? Knowledge accuracy, self-confidence, and media use in agricultural issues. [PDF]

PLoS One
Gabriel A, Bitsch V.
europepmc   +1 more source

Evaluating Creative Output With Generative Artificial Intelligence: Comparing GPT Models and Human Experts in Idea Evaluation

Creativity and Innovation Management, Volume 34, Issue 4, Page 991-1012, December 2025.
ABSTRACT Traditional techniques for evaluating creative outcomes are typically based on evaluations made by human experts. These methods suffer from challenges such as subjectivity, biases, limited availability, ‘crowding’, and high transaction costs. We propose that large language models (LLMs) can be used to overcome these shortcomings.
Theresa Kranzle, Katelyn Sharratt
wiley   +1 more source

Standardised Innovation Management Systems: Modelling the Antecedents of Certification and Maintenance Benefits

Creativity and Innovation Management, EarlyView.
ABSTRACT The literature lacks a comprehensive model examining the performance impact of certifying and maintaining standardised innovation management systems (SIMS) or clarifying the advantages of standardisation. This study addresses that gap by analysing the key determinants of the benefits associated with SIMS certification and maintenance.
Carlos J. F. Cândido, Marisa Isabel Silva Cesário, Liana Mendes de Saboya   +2 more
wiley   +1 more source