Results 201 to 210 of about 459,799 (286)

The Institutional Work of Ethics: How Business Ethics Consultants Build Ethical Infrastructure

open access: yesBusiness Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT As organisations increasingly turn to external experts for moral guidance, critics warn that this trend risks “outsourcing” business ethics. Evaluating this concern, however, requires a clearer understanding of what those experts actually do. Drawing on 17 semi‐structured interviews with business ethics consultants, this study investigates how
Tong Li, Marco Meyer
wiley   +1 more source

To disclose or not to disclose: Peer influence and psychological factors in students' use of generative artificial intelligence

open access: yesBritish Journal of Educational Psychology, EarlyView.
Abstract Background The integration of generative artificial intelligence (GenAI) into higher education has transformed academic practices and redefined the boundaries of academic integrity. Despite institutional mandates for disclosure, students frequently conceal their GenAI use, reflecting ethical uncertainty and relational risk.
Yao Qu, Jue Wang
wiley   +1 more source

Latent Poisson count models for action count data from technology‐enhanced assessments

open access: yesBritish Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Recent advances in computerized assessments have enabled the use of innovative item formats (e.g., drag‐and‐drop, scenario‐based), necessitating a flexible model that can capture systematic influence of item types on action counts. In this study, we present a refinement scheme that can explicitly model common features of items and allows ...
Gregory Arbet, Hyeon‐Ah Kang
wiley   +1 more source

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

open access: yesCreativity 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

Home - About - Disclaimer - Privacy