Results 251 to 260 of about 227,156 (330)

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

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

Entropy (Basel)
Kapatsinski V.
europepmc   +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

A bibliometric analysis of metonymy in SSCI-indexed research (2000-2023): retrospect and prospect. [PDF]

Front Psychol
Sun Y, Lin M.
europepmc   +1 more source

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

Assessing the Role of Socio-Demographic Triggers on Kolmogorov-Based Complexity in Spoken English Varieties. [PDF]

Entropy (Basel)
Ehret K.
europepmc   +1 more source

Corpus Linguistics and Gun Control: Why Heller Is Wrong

, 2020
Kyra Babcock Woods
openalex   +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

Large language models prompt engineering as a method for embodied cognitive linguistic representation: a case study of political metaphors in Trump's discourse. [PDF]

Front Psychol
Meng H, Li X, Sun J.
europepmc   +1 more source

Aiding Large Language Models Using Clinical Scoresheets for Neurobehavioral Diagnostic Classification From Text: Algorithm Development and Validation. [PDF]

JMIR AI
Lin K, Rasool A, Surabhi S, Mutlu C, Zhang H, Wall DP, Washington P.   +6 more
europepmc   +1 more source