Results 231 to 240 of about 223,492 (342)

The potential and limitations of large language models for automatic classification of teachers' motivational messages in educational research

British Journal of Educational Psychology, EarlyView.
Abstract Introduction The rapid advancement of artificial intelligence (AI) has created new opportunities in educational research, particularly in the efficient analysis of complex social interactions within classrooms. One promising area involves the classification of teachers' motivational messages. Traditionally, such assessments have relied on self‐
Olivia Metzner, Yindong Wang, Gerard de Melo, Wendy Symes, Yizhen Huang, Rebecca Lazarides   +5 more
wiley   +1 more source

NLP‐enabled automated assessment of scientific explanations: Towards eliminating linguistic discrimination

British Journal of Educational Technology, EarlyView.
Abstract As use of artificial intelligence (AI) has increased, concerns about AI bias and discrimination have been growing. This paper discusses an application called PyrEval in which natural language processing (NLP) was used to automate assessment and provide feedback on middle school science writing without linguistic discrimination.
ChanMin Kim, Rebecca J. Passonneau, Eunseo Lee, Mahsa Sheikhi Karizaki, Dana Gnesdilow, Sadhana Puntambekar   +5 more
wiley   +1 more source

Editorial: Experimental approaches to the acquisition of information structure. [PDF]

Front Psychol
Leal TL, Hoot B, Skopeteas S, Casillas JV, Laleko O.   +4 more
europepmc   +1 more source

52. Corpus linguistic methods [PDF]

, 2019
openaire   +3 more sources

Decoding the language of first impressions: Comparing models of first impressions of faces derived from free‐text descriptions and trait ratings

British Journal of Psychology, EarlyView.
Abstract First impressions formed from facial appearance predict important social outcomes. Existing models of these impressions indicate they are underpinned by dimensions of Valence and Dominance, and are typically derived by applying data reduction methods to explicit ratings of faces for a range of traits.
Alex L. Jones, Victor Shiramizu, Benedict C. Jones   +2 more
wiley   +1 more source

AI-generated corpus learning and EFL learners' learning of grammatical structures, lexical bundles, and willingness to write. [PDF]

PLoS One
Lu C.
europepmc   +1 more source

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

Creativity and Innovation Management, EarlyView.
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

Can Informativity Effects Be Predictability Effects in Disguise? [PDF]

Entropy (Basel)
Kapatsinski V.
europepmc   +1 more source

Creating Safer Injecting Practices Through Community‐Led Harm Reduction: Lessons From People Who Use Steroids for the Alcohol and Other Drug Sector

Drug and Alcohol Review, EarlyView.
ABSTRACT Introduction Research on anabolic–androgenic steroid (AAS) use has addressed health outcomes, social dynamics, service access and risk management strategies. Yet little work has examined how these domains converge in injection practices, where community‐led knowledge and structural barriers shape harm reduction.
Timothy Piatkowski, Emma Kill, Geoff Davey, Monica J. Barratt, Jason Ferris, Suzanne Nielsen, Amy Peacock   +6 more
wiley   +1 more source