Results 91 to 100 of about 273,034 (301)

Parent-adolescent discrepancies in educational expectations, relationship quality, and study engagement: a multi-informant study using response surface analysis

Frontiers in Psychology
Whether parental educational expectations for adolescents serve as a source of motivation or stress depends on the extent to which adolescents hold expectations for themselves.
Youzhi Song, Youzhi Song, Jianjun Wu, Jianjun Wu, Jianjun Wu, Zongkui Zhou, Zongkui Zhou, Yuan Tian, Yuan Tian, Weina Li, Weina Li, Weina Li, Heping Xie   +12 more
doaj   +1 more source

How Artificial Intelligence Enriches the Traditional Data Science Toolbox in Finance [PDF]

ITM Web of Conferences
With the continuous growth of the scale, heterogeneity and dynamics of financial data, traditional statistical and machine learning methods have gradually shown deficiencies in feature-engineering dependence, nonlinear modeling and stability in rapidly ...
Cui Cheng
doaj   +1 more source

Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science

Journal of the Association for Information Science and Technology, Volume 76, Issue 4, Page 703-717, April 2025.
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto, Amina A. Abdu, Natascha Chtena   +2 more
wiley   +1 more source

Parental Stress and Caregiver Role Modulate Child–Caregiver Prosodic Synchrony in Autism: A Computational Analysis

Autism Research, EarlyView.
ABSTRACT Parental stress influences parent–child interactions in typical development and is a prognostic factor of autism outcome. However, we still do not know to what extent parental stress affects parent–child interactions and whether caregiver role matters.
Maria Grazia Logrieco, Giulio Bertamini, Laura Casula, Mohamed Chetouani, Silvia Guerrera, Mirco Fasolo, Paola Venuti, Maria Luisa Scattoni, Francesca Fulceri, Stefano Vicari, David Cohen, Giovanni Valeri   +11 more
wiley   +1 more source

Relational inclusivity in education: comparing SNA Toolkit findings with ERGM models to advance a relational approach to inclusion

Frontiers in Education
IntroductionInclusion is a universal right and a fundamental pillar of education. However, current educational models often overlook the relational nature of students, failing to address this social challenge effectively.
Carlos Mallén-Lacambra, Christoforos Mamas   +1 more
doaj   +1 more source

MEBN-RM: A Mapping between Multi-Entity Bayesian Network and Relational Model

Applied Sciences, 2019
Multi-Entity Bayesian Network (MEBN) is a knowledge representation formalism combining Bayesian Networks (BNs) with First-Order Logic (FOL). MEBN has sufficient expressive power for general-purpose knowledge representation and reasoning, and is the ...
Cheol Young Park, Kathryn Blackmond Laskey   +1 more
doaj   +1 more source

Possibilities of automatic text analysis in the task of determining the psychological characteristics of the author

Экспериментальная психология, 2020
Using a tool for automatic text analysis and machine learning methods developed at the Federal Research Center ‘Computer Science and Control’ of the Russian Academy of Sciences, the first results are obtained in the task of identifying text ...
A.K. Kovalev, Y.M. Kuznetsova, M.Y. Penkina, M.A. Stankevich, N.V. Chudova   +4 more
doaj   +1 more source

RelNN: A Deep Neural Model for Relational Learning

, 2017
Statistical relational AI (StarAI) aims at reasoning and learning in noisy domains described in terms of objects and relationships by combining probability with first-order logic.
Kazemi, Seyed Mehran, Poole, David
core   +1 more source

Student perspectives on AI‐supported formative assessment in pharmacology

British Journal of Clinical Pharmacology, EarlyView.
Abstract Aims High‐quality feedback is crucial for helping medical students understand and apply core concepts of pharmacology, yet personalized feedback is resource‐intensive to produce. Artificial intelligence (AI) offers a potential solution, but little is known about students' perspectives on AI‐generated feedback.
Jon Andsnes Berg, Øyvind Repstad, Trond Trætteberg Serkland, Tiril Egset Mork, Christian Bru, Olav Tenstad, Monika Kvernenes   +6 more
wiley   +1 more source

Induction of Interpretable Possibilistic Logic Theories from Relational Data

, 2017
The field of Statistical Relational Learning (SRL) is concerned with learning probabilistic models from relational data. Learned SRL models are typically represented using some kind of weighted logical formulas, which make them considerably more ...
Davis, Jesse, Kuzelka, Ondrej, Schockaert, Steven   +2 more
core