Results 81 to 90 of about 131,744 (288)

Unveiling student sentiment dynamics toward AI‐based education through statistical analysis and Monte Carlo simulation

open access: yesBritish Educational Research Journal, EarlyView.
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

The Non-Hierarchical Nature of the Chomsky Hierarchy-Driven Artificial-Grammar Learning

open access: yesBiolinguistics, 2014
Recent artificial-grammar learning (AGL) paradigms driven by the Chomsky hierarchy paved the way for direct comparisons between humans and animals in the learning of center embedding ([A[AB]B]).
Shiro Ojima, Kazuo Okanoya
doaj   +1 more source

Implicit Structured Sequence Learning: An FMRI Study of the Structural Mere-Exposure Effect

open access: yesFrontiers in Psychology, 2014
In this event-related FMRI study we investigated the effect of five days of implicit acquisition on preference classification by means of an artificial grammar learning (AGL) paradigm based on the structural mere-exposure effect and preference ...
Vasiliki eFolia   +4 more
doaj   +1 more source

Investigating How Firms in Emerging Economies Integrate AI‐Driven Systems and ESG Metrics Into Biodiversity Conservation and Circular Economy Strategies

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study investigates how firms in emerging economies integrate artificial intelligence (AI) with environmental, social, and governance (ESG) practices to enhance biodiversity conservation and circular economy outcomes. It examines the mediating role of corporate social responsibility (CSR) governance and the moderating effect of ...
Suleman Bawa, Simplice A. Asongu
wiley   +1 more source

The Relationship Between States of Anxiety, Negative Career Thoughts, and Information‐Processing Skills

open access: yesThe Career Development Quarterly, EarlyView.
ABSTRACT Cognitive information processing (CIP) theory focuses on domains of career decision‐making and problem‐solving with the inclusion of affective and cognitive dimensions. Despite this focus, there is sparse research on the connection between anxiety and CIP cognitive dimensions of negative career thoughts and information‐processing (CIP) skills.
Seth C. W. Hayden   +4 more
wiley   +1 more source

Lack of Cross-Modal Effects in Dual-Modality Implicit Statistical Learning

open access: yesFrontiers in Psychology, 2018
A current controversy in the area of implicit statistical learning (ISL) is whether this process consists of a single, central mechanism or multiple modality-specific ones.
Xiujun Li   +6 more
doaj   +1 more source

Counseling Professionals’ Perspectives on AI Integration in Education and Supervision: A Concept Mapping Study

open access: yesCounselor Education and Supervision, EarlyView.
ABSTRACT The rapid emergence of artificial intelligence (AI) has raised important questions about how new technologies will shape professional norms and practices in counseling. The purpose of this study was to understand how counseling professionals expect AI to be integrated into counselor education and supervision (CES).
Hank Crofford, Elif Bor, Gülşah Kemer
wiley   +1 more source

Blind insight: metacognitive discrimination despite chance task performance [PDF]

open access: yes, 2014
Blindsight and other examples of unconscious knowledge and perception demonstrate dissociations between judgment accuracy and metacognition: Studies reveal that participants’ judgment accuracy can be above chance while their confidence ratings fail ...
Barrett, Adam B   +4 more
core   +1 more source

Recent Advances in Chemical Probing Strategies for RNA Structure Determination in Vivo

open access: yesChemistry – A European Journal, EarlyView.
This Review illustrates how structural probes combined with advanced sequencing technologies are revolutionizing our ability to map RNA structures and interactions within living cells. It highlights the development of innovative strategies tailored to probe RNA structures in particular biological contexts.
Maryana Yarshova   +2 more
wiley   +1 more source

The Fast and the Flexible: training neural networks to learn to follow instructions from small data [PDF]

open access: yes, 2019
Learning to follow human instructions is a long-pursued goal in artificial intelligence. The task becomes particularly challenging if no prior knowledge of the employed language is assumed while relying only on a handful of examples to learn from.
Bruni, Elia   +3 more
core   +2 more sources

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