Perceived support and AI literacy: the mediating role of psychological needs satisfaction

Frontiers in Psychology, Год журнала: 2024, Номер 15

Опубликована: Июнь 14, 2024

Artificial Intelligence (AI) exerts significant influence on both professional and personal spheres, underscoring the necessity for college students to have a fundamental understanding of AI. Guided by self-determination theory (SDT), this study explores psychological needs satisfaction AI literacy among university students. A cross-sectional survey involving 445 from diverse academic backgrounds was conducted. The assessed mediation effect students’ need between two types support—technical teacher—and literacy. results indicate that support positively influenced fulfillment autonomy competence needs, which subsequently acted as mediators in enhancing However, relatedness did not mediate relationship Unexpectedly, no direct association found forms levels findings suggest although technical teacher contribute fulfilling specific only are predictive lack impact underscores importance addressing through educational interventions. It is recommended educators provide tailored education (AIEd) institutions develop specialized courses enhance

Язык: Английский

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Measuring the Interpretability and Explainability of Model Decisions of Five Large Language Models

Опубликована: Март 20, 2024

This study conducts a comprehensive analysis of the interpretability and explainability five leading Large Language Models (LLMs): TripoSR by Stability AI, Gemma-7b Google, Mistral 7B Llama-2-7b Meta, GemMoE-Beta-1 CrystalCare AI. Through methodical evaluation encompassing both qualitative quantitative benchmarks, we assess these models' capacity to make their decision-making processes understandable humans. Our findings reveal significant variability in ability provide transparent reasoning accurate, contextually relevant explanations across different contexts. Notably, demonstrated superior transparency, while excelled accuracy explanations. However, challenges maintaining consistent varying inputs need for enhanced adaptability feedback highlight areas future improvement. research underscores importance fostering trust reliability LLM applications, advocating continued advancement achieve more transparent, accountable, user-centric AI systems. Directions include development standardized methodologies interdisciplinary approaches enhance model transparency user understanding.

Язык: Английский

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VIRTSI: A novel trust dynamics model enhancing Artificial Intelligence collaboration with human users – Insights from a ChatGPT evaluation study

Information Sciences, Год журнала: 2024, Номер 675, С. 120759 - 120759

Опубликована: Май 21, 2024

The rapid integration of intelligent processes and methods into information systems in the Artificial Intelligence (AI) era has led to a substantial shift towards autonomous software decision-making. This evolution necessitates robust human oversight, especially critical domains like Healthcare, Education, Energy. Human trust AI plays vital role influencing decision-making users interacting with AI. paper presents VIRTSI (Variability Impact Reciprocal Trust States Intelligent systems), novel rigorous computational model for human-AI Interaction. simulates states, spanning from overtrust distrust, through user modelling. It comprises: 1. A dynamics representational based on Deterministic Finite State Automata (DFAs), illustrating transitions among cognitive states response AI-generated replies. 2. evaluation Confusion Matrices, originating machine learning Accuracy Metrics, providing quantitative framework analysing dynamics. As result, this is first time that have been thoroughly traced method developed assess impact possibly harmful distrust. An empirical study recently launched Large Language Model generative AI, ChatGPT (version 3.5), provides radical underexplored platform evaluating interaction VIRTSI. involved 1200 interactions real as well experts together two very different evaluation, namely engineering poetry. traces emerging interaction, concrete examples synergies research reveals maintaining normal optimal both need further steps goal. real-world implications can guide creation interfaces incorporation functionalities development chatbots terms by new DFA corresponding perspective confusion matrix dynamics' efficiency dialogues.

Язык: Английский

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Visualization obesity risk prediction system based on machine learning

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Сен. 28, 2024

Язык: Английский

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Introduction to Advances in Artificial Intelligence-Empowered Decision Support Systems

Learning and analytics in intelligent systems, Год журнала: 2024, Номер unknown, С. 1 - 11

Опубликована: Янв. 1, 2024

Язык: Английский

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Evolution of Polish E-Consumers’ Environmental Awareness and Purchasing Behavior over Ten Years

Sustainability, Год журнала: 2024, Номер 16(11), С. 4686 - 4686

Опубликована: Май 31, 2024

With the development of e-commerce in Poland, consumer awareness has evolved. Buyers not only compared prices and assessed quality products but also began to take into account impact their purchases on environment, which was previously an overlooked aspect. This growing environmental is part a broader effort address issues support practices that promote sustainability. Currently, there noticeable increase ecological among society, government bodies, scientific community, strengthening human interaction with natural environment. The aim this study examine changes attitudes Polish e-consumers over ten years online shopping behavior. explored how have evolved last decade what these had purchasing behavior consumers. Longitudinal studies were used enable analysis time. research technique based repeated measurements same phenomena features, carried out diverse samples from population, using methods tools. conducted twice, 2010 2020, sample 1150 people each years. employed survey questionnaire, included scales for assessing personality traits determinants shopping. A significant change found e-consumers’ towards environment preferences. clear behavior, including importance convenience, access detailed product information, wide range offered, reflecting more conscious convenience-oriented

Язык: Английский

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EPATHLO Educational Game Suite and Fuzzy Reasoning

Intelligent systems reference library, Год журнала: 2025, Номер unknown, С. 129 - 172

Опубликована: Янв. 1, 2025

Язык: Английский

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User-Player and Student Modeling in Personalized Educational Games: A Literature Review

Intelligent systems reference library, Год журнала: 2025, Номер unknown, С. 63 - 94

Опубликована: Янв. 1, 2025

Язык: Английский

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21st Century Skills Via Prosocial Educational Games with Responsible Artificial Intelligence: An Overview

Intelligent systems reference library, Год журнала: 2025, Номер unknown, С. 1 - 24

Опубликована: Янв. 1, 2025

Язык: Английский

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General Data Protection Regulation and Adaptive Educational Games

Intelligent systems reference library, Год журнала: 2025, Номер unknown, С. 253 - 275

Опубликована: Янв. 1, 2025

Язык: Английский

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