Results 211 to 220 of about 277,349 (284)
Endocrinologists in golden age: opportunities enabled by artificial intelligence. [PDF]
Li B, Wu Q, Lyu Z.
europepmc +1 more source
AI voice journaling for future language teachers: A path to well‐being through reflective practices
Abstract This study aimed to explore the perceived impact of using an AI‐powered voice journaling app in overcoming the challenges and stressors encountered by senior students enrolled in teaching practicum at an English Language Teaching Bachelor's programme.
Bora Demir, Duygu Özdemir
wiley +1 more source
Linguistic features of AI mis/disinformation and the detection limits of LLMs. [PDF]
Ma Y +5 more
europepmc +1 more source
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran +2 more
wiley +1 more source
LINGUISTIC FEATURES OF EPIGRAPHIC MONUMENTS
openaire +1 more source
RETRACTED: Learner emotions and performance in hypercasual VR games with adaptive AI difficulty
Abstract Hypercasual virtual reality games (HVRGs) are widely regarded as cost‐effective tools for rapid skill acquisition, yet the mechanisms that optimise their effectiveness and user acceptance remain insufficiently explored. This mixed‐methods empirical study investigates how playful emotions, characterised by engagement, enjoyment and anxiety ...
Zeeshan Ahmed, Faizan Ahmad, Chen Hui
wiley +1 more source
Interpretable depression assessment using a large language model. [PDF]
Lee JJ, Han J, Woo CW.
europepmc +1 more source
Abstract By skipping school for their cause, young climate strikers repeatedly demonstrated their priorities in 2019 and 2020. They regularly chose to sacrifice a day of their formal education in favour of collective action. This study asks what we can learn from the reflections of former youth strikers.
Loz J. Hennessy
wiley +1 more source
Leveraging computational linguistics and machine learning for detection of ultra-high risk of mental health disorders in youths. [PDF]
Kho JJ +9 more
europepmc +1 more source
The future in a bubble: Supporting Finnish early childhood professionals working in diverse settings
Abstract The purpose of this study was to contribute to the knowledge about early childhood education and care (ECEC) personnel's perception of the support structures that are most effective in assisting them in their work with culturally and linguistically diverse children.
Alexandra C. Anton +2 more
wiley +1 more source

