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Relationship between perceived teacher support and learning engagement among adolescents: Mediation role of technology acceptance and learning motivation

Fuhai An, Jingyi Yu, Linjin Xi • Frontiers in Psychology (2022)

This study is aimed at investigating the relationship between perceived teacher support and learning engagement and exploring the mediation role played by technology acceptance and learning motivation. It adopted a structural equation model...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyg.2022.992464

Automated segmentation of brain metastases in T1-weighted contrast-enhanced MR images pre and post stereotactic radiosurgery

Hemalatha Kanakarajan, Wouter De Baene, Patrick Hanssens, Margriet Sitskoorn • BMC Medical Imaging (2025)

Abstract Background and purpose Accurate segmentation of brain metastases on Magnetic Resonance Imaging (MRI) is tedious and time-consuming for radiologists that could be optimized with deep learning (DL). Previous studies assessed several ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12880-025-01643-y

Does Emotional Labor Matter for University Teaching? Examining the Antecedents and Consequences of University Teachers' Emotional Labor Strategies

Jiying Han, Hongbiao Yin, Xin Yang, Feifei Wang • Frontiers in Psychology (2021)

Following Grandey's integrative model of emotional labor and emotion regulation, this study examined the relationships between university teachers' reported use of various emotional labor strategies and some antecedents (i. e., perceived em...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyg.2021.731099

Burnout Risk Profiles in Psychology Students: An Exploratory Study with Machine Learning

M. Graça Pereira, Martim Santos, Renata Magalhães, Cláudia Rodrigues et al. • Behavioral Sciences (2025)

University students are at increased risk of developing burnout and psychological distress from high academic workloads and performance expectations. The purpose of this study is to analyze the relationship between psychological and lifesty...

DOAJ Open Access (DOAJ) DOI: 10.3390/bs15040505

Using machine learning to predict persecutory beliefs based on aetiological models of delusions identified in a systematic literature search

Saskia Denecke, Felix Strakeljahn, Antonia Bott, Tania M. Lincoln • Communications Psychology (2025)

Abstract Aetiological models of delusions propose a broad range of predictors. The extent to which these predictors explain variance in persecutory beliefs across the continuum requires systematic investigation. As part of a previous review...

DOAJ Open Access (DOAJ) DOI: 10.1038/s44271-025-00311-9

Machine Learning Approaches for Clinical Psychology and Psychiatry

Dominic Dwyer, Peter Falkai, Nikolaos Koutsouleris • Annual Review of Clinical Psychology (2018)

Machine learning approaches for clinical psychology and psychiatry explicitly focus on learning statistical functions from multidimensional data sets to make generalizable predictions about individuals. The goal of this review is to provide...

OPENALEX DOI: https://doi.org/10.1146/annurev-clinpsy-032816-045037

Resistance to Medical Artificial Intelligence

Chiara Longoni, Andrea Bonezzi, Carey K. Morewedge • Journal of Consumer Research (2019)

Abstract Artificial intelligence (AI) is revolutionizing healthcare, but little is known about consumer receptivity to AI in medicine. Consumers are reluctant to utilize healthcare provided by AI in real and hypothetical choices, separate a...

OPENALEX Open Access DOI: https://doi.org/10.1093/jcr/ucz013

The Moral Psychology of Artificial Intelligence

Jean‐François Bonnefon, Iyad Rahwan, Azim Shariff • Annual Review of Psychology (2023)

Moral psychology was shaped around three categories of agents and patients: humans, other animals, and supernatural beings. Rapid progress in artificial intelligence has introduced a fourth category for our moral psychology to deal with: in...

OPENALEX cc-by DOI: https://doi.org/10.1146/annurev-psych-030123-113559

Teens, Tech, and Talk: Adolescents’ Use of and Emotional Reactions to Snapchat’s My AI Chatbot

Gaëlle Vanhoffelen, Laura Vandenbosch, Lara Schreurs • Behavioral Sciences (2025)

Due to technological advancements such as generative artificial intelligence (AI) and large language models, chatbots enable increasingly human-like, real-time conversations through text (e.g., OpenAI’s ChatGPT) and voice (e.g., Amazon’s Al...

DOAJ Open Access (DOAJ) DOI: 10.3390/bs15081037

The role of evaluative nouns in shaping modern English movie discourse: An axiological and morphological analysis

Irena Snikhovska, Larysa Soloviova, Julia Bereziuk, Svitlana Poplavska et al. • English Language Teaching Educational Journal (2026)

Evaluative language has been widely examined, but evaluative nouns in cinematic discourse remain insufficiently studied. This study addresses this gap by systematically analyzing evaluative nouns in English movie dialogue. A sample of 176 l...

DOAJ Open Access (DOAJ)

On Artificial Intelligence and Manipulation

Marcello Ienca • Topoi (2023)

Abstract The increasing diffusion of novel digital and online sociotechnical systems for arational behavioral influence based on Artificial Intelligence (AI), such as social media, microtargeting advertising, and personalized search algorit...

OPENALEX cc-by DOI: https://doi.org/10.1007/s11245-023-09940-3