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Predicting Teachers’ Intentions for AIGC Integration in Preschool Education: A Hybrid SEM-ANN Approach

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Outgoing claims: the papers this work cites, builds on, or argues with.

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The Construction of Attitudes
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The Influencing Factors of Young Designers’ Intentions to Continue Using Artificial Intelligence Generated Content Platforms
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Investigating the drivers and barriers to MOOCs adoption: The perspective of TAM
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Can AI-generated pedagogical agents (AIPA) replace human teacher in picture book videos? The effects of appearance and voice of AIPA on children’s learning
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Factors influencing Chinese pre-service teachers’ adoption of generative AI in teaching: an empirical study based on UTAUT2 and PLS-SEM
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Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model
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Measuring Students’ Use of Zoom Application in Language Course Based on the Technology Acceptance Model (TAM)
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Key Factors Influencing Loyalty and Satisfaction Toward ERP: Mediating Role of Flow
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Modelling continuous intention to use generative artificial intelligence as an educational tool among university students: findings from PLS-SEM and ANN
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Bi-modal derivative adaptive activation function sigmoidal feedforward artificial neural networks
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Exploring the role of intrinsic motivation in ChatGPT adoption to support active learning: An extension of the technology acceptance model
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Determinants of users’ intention to adopt wireless technology: An empirical study by integrating TTF with TAM
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Impact of media richness and flow on e-learning technology acceptance
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Assessing the intention to use technology among pre-service teachers in Singapore and Malaysia: A multigroup invariance analysis of the Technology Acceptance Model (TAM)
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Explaining and predicting users’ continuance intention toward e-learning: An extension of the expectation–confirmation model
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An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among pre-service teachers: A structural equation modeling approach
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Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments
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Unpacking teachers’ intentions to integrate technology: A meta-analysis
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Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques
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Continuance intention to use artificial intelligence personal assistant: type, gender, and use experience
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The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance
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The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model
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Flow Online: Lessons Learned and Future Prospects
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Unveiling brand loyalty in emerging markets: Analyzing smartphone user preferences: Robustness of structural equation modeling (SEM) and simultaneous equation modeling (SEMs)
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‘From technology adoption to consumption’: Effect of pre-adoption expectations from fitness applications on usage satisfaction, continual usage, and health satisfaction
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Interactivity, Inspiration, and Perceived Usefulness! How retailers’ AR-apps improve consumer engagement through flow
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The role of technology belief, perceived risk and initial trust in users’ acceptance of urban air mobility: An empirical case in China
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Student nurses' attitudes, perceived utilization, and intention to adopt artificial intelligence (AI) technology in nursing practice: A cross-sectional study
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Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example
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Do customers exhibit engagement behaviors in AI environments? The role of psychological benefits and technology readiness
inferredcites →https://doi.org/10.1016/j.tsc.2024.101508openalex-snapshot
Incorporating AIGC into design ideation: A study on self-efficacy and learning experience acceptance under higher-order thinking
inferredcites →https://doi.org/10.1057/s41599-024-02839-3openalex-snapshot
Refreshment students’ perceived usefulness and attitudes towards using technology: a moderated mediation model
inferredcites →https://doi.org/10.1063/5.0186054openalex-snapshot
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E-learning continuance satisfaction in higher education: a unified perspective from instructors and students
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Understanding Continued Use Intention of AI Assistants
inferredcites →https://doi.org/10.1080/08874417.2024.2329128openalex-snapshot
An SEM-ANN Approach - Guidelines in Information Systems Research
inferredcites →https://doi.org/10.1080/10447318.2020.1752478openalex-snapshot
Emotional Satisfaction and IS Continuance Behavior: Reshaping the Expectation-Confirmation Model
inferredcites →https://doi.org/10.1080/10447318.2022.2049145openalex-snapshot
Influence of Pedagogical Beliefs and Perceived Trust on Teachers’ Acceptance of Educational Artificial Intelligence Tools
inferredcites →https://doi.org/10.1080/10447318.2022.2151730openalex-snapshot
The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence
inferredcites →https://doi.org/10.1080/10447318.2024.2433300openalex-snapshot
Exploring Factors Influencing Continuance Intention of Pre-Service Teachers in Using Generative Artificial Intelligence
inferredcites →https://doi.org/10.1080/10494820.2014.926275openalex-snapshot
What leads people to keep on e-learning? An empirical analysis of users' experiences and their effects on continuance intention
inferredcites →https://doi.org/10.1080/10872981.2021.1961348openalex-snapshot
Students’ satisfaction and continued intention toward e-learning: a theory-based study
inferredcites →https://doi.org/10.1093/oxfordhb/9780195187243.013.0018openalex-snapshot
Flow Theory and Research
inferredcites →https://doi.org/10.1108/aaouj-10-2022-0149openalex-snapshot
Combining technology readiness and acceptance model for investigating the acceptance of m-learning in higher education in India
inferredcites →https://doi.org/10.1108/jarhe-08-2022-0274openalex-snapshot
The impact of big five personality trait in predicting student academic performance
inferredcites →https://doi.org/10.1108/k-03-2024-0613openalex-snapshot
The impact of human-AIGC tools collaboration on the learning effect of college students: a key factor for future education?
inferredcites →https://doi.org/10.1108/s1474-7979(2009)0000020014openalex-snapshot
The use of partial least squares path modeling in international marketing
inferredcites →https://doi.org/10.1108/vjikms-08-2020-0156openalex-snapshot
The questionnaire method in systems research: an overview of sample sizes, response rates and statistical approaches utilized in studies
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Navigating the Future: Harnessing Artificial Intelligence Generated Content (AIGC)for Enhanced Learning Experiences in Higher Education
inferredcites →https://doi.org/10.1109/csrswtc64338.2024.10811657openalex-snapshot
Research and Application of the “5A” Educational Model of AIGC-Enabled Wireless Sensor Networks Curriculum
inferredcites →https://doi.org/10.1109/ieir59294.2023.10391211openalex-snapshot
Why technology-supported classrooms: An analysis of classroom behavior data from AIGC
inferredcites →https://doi.org/10.1109/iset61814.2024.00013openalex-snapshot
What does Artificial Intelligence Generated Content bring to Teaching and Learning? A literature review on AIGC in Education
inferredcites →https://doi.org/10.1109/itme60234.2023.00111openalex-snapshot
Cultivating Elevated Creativity in Animation Design Courses Through AIGC Integration
inferredcites →https://doi.org/10.1111/jcal.12314openalex-snapshot
Investigating the adoption of MOOC s: A technology–user–environment perspective
inferredcites →https://doi.org/10.1111/jcal.13117openalex-snapshot
Deconstructing University Learners' Adoption Intention Towards AIGC Technology: A Mixed‐Methods Study Using ChatGPT as an Example
inferredcites →https://doi.org/10.1111/jep.13860openalex-snapshot
The relationship between the pharmacist's role, patient understanding and satisfaction during the provision of a cost‐effective pharmacist‐led intervention
inferredcites →https://doi.org/10.1123/jsep.18.1.17openalex-snapshot
Development and Validation of a Scale to Measure Optimal Experience: The Flow State Scale
inferredcites →https://doi.org/10.1145/3613905.3651104openalex-snapshot
Enhancing User Experience in Chinese Initial Text Conversations with Personalised AI-Powered Assistant
inferredcites →https://doi.org/10.1145/3686424.3686458openalex-snapshot
Enhancing Digital Storytelling Skills in Foreign Language Students Using AIGC Tools
inferredcites →https://doi.org/10.11591/ijece.v6i4.10546openalex-snapshot
Behavioral Intention to Use IoT Health Device: The Role of Perceived Usefulness, Facilitated Appropriation, Big Five Personality Traits, and Cultural Value Orientations
inferredcites →https://doi.org/10.1177/0092070393213001openalex-snapshot
A Desires Congruency Model of Consumer Satisfaction
inferredcites →https://doi.org/10.1177/2158244015611457openalex-snapshot
Impact of Technical Support on Customer Satisfaction
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The role of e-engagement and flow on the continuance with a learning management system in a blended learning environment
inferredcites →https://doi.org/10.1186/s41239-023-00411-8openalex-snapshot
Students’ voices on generative AI: perceptions, benefits, and challenges in higher education
inferredcites →https://doi.org/10.1186/s41239-025-00506-4openalex-snapshot
Factors influencing academic staff satisfaction and continuous usage of generative artificial intelligence (GenAI) in higher education
inferredcites →https://doi.org/10.1287/mnsc.35.8.982openalex-snapshot
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
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Perceived Ease of Use, Perceived Usefulness, Perceived Security and Intention to Use E-Filing: The Role of Technology Readiness
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Measuring bias in self-reported data
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The Application of the Technology Acceptance Model under Different Cultural Contexts: The Case of Online Shopping Adoption
inferredcites →https://doi.org/10.17265/2159-5836/2024.10.016openalex-snapshot
AIGC Related Context: A New Communication Culture For Human
inferredcites →https://doi.org/10.2307/249008openalex-snapshot
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
inferredcites →https://doi.org/10.2307/3250921openalex-snapshot
Understanding Information Systems Continuance: An Expectation-Confirmation Model1
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Flow in VR: A Study on the Relationships Between Preconditions, Experience and Continued Use
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Determinants of Intention to Use eLearning Based on the Technology Acceptance Model
inferredcites →https://doi.org/10.2991/978-2-38476-277-4_70openalex-snapshot
Changes in the way of learning under the influence of AIGC
inferredcites →https://doi.org/10.2991/978-94-6463-494-5_30openalex-snapshot
The Impact of ChatGPT on Chinese Postgraduates’ English Learning Interest and Proficiency: An Experience of IELTS Speaking Project
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Professional Development on Digital Literacy for Teachers in Early Childhood Education in the Digital Era
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Unlocking Organizational Potential: Assessing the Impact of Technology through SmartPLS in Advancing Management Excellence
inferredcites →https://doi.org/10.3389/fcomp.2024.1417016openalex-snapshot
Explore the driving factors of designers’ AIGC usage behavior based on SOR framework
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ChatGPT in higher education: factors influencing ChatGPT user satisfaction and continued use intention
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Mathematical Modeling and Optimizing of in Vitro Hormonal Combination for G × N15 Vegetative Rootstock Proliferation Using Artificial Neural Network-Genetic Algorithm (ANN-GA)
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Technology Acceptance, Technological Self-Efficacy, and Attitude Toward Technology-Based Self-Directed Learning: Learning Motivation as a Mediator
inferredcites →https://doi.org/10.3389/fpsyg.2020.579322openalex-snapshot
Understanding the Effects of Antecedents on Continuance Intention to Gather Food Safety Information on Websites
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AI Chatbots in Chinese higher education: adoption, perception, and influence among graduate students—an integrated analysis utilizing UTAUT and ECM models
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Determinants of Continuous Usage Intention in Community Group Buying Platform in China: Based on the Information System Success Model and the Expanded Technology Acceptance Model
inferredcites →https://doi.org/10.3390/bs14090838openalex-snapshot
Unpacking the Dynamics of AI-Based Language Learning: Flow, Grit, and Resilience in Chinese EFL Contexts
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Exploring User Experience and Usability in a Metaverse Learning Environment for Students: A Usability Study of the Artificial Intelligence, Innovation, and Society (AIIS)
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Validating an Instrument for Measuring Newly Graduated Nurses’ Adaptation
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Behavioral Intentions in Metaverse Tourism: An Extended Technology Acceptance Model with Flow Theory
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TPTM-HANN-GA: A Novel Hyperparameter Optimization Framework Integrating the Taguchi Method, an Artificial Neural Network, and a Genetic Algorithm for the Precise Prediction of Cardiovascular Disease Risk
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AI-Based Chatbots Adoption Model for Higher-Education Institutions: A Hybrid PLS-SEM-Neural Network Modelling Approach
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Wind Power Short-Term Forecasting Method Based on LSTM and Multiple Error Correction
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A Study on Teachers’ Willingness to Use Generative AI Technology and Its Influencing Factors: Based on an Integrated Model
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Exploring Satisfaction and Trust as Key Drivers of e-Government Continuance Intention: Evidence from China for Sustainable Digital Governance
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Role of AI-Driven Personalized E-Learning In Enhancing Economic Competitiveness: A Comparative Analysis of Developed And Developing Countries
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Internet of Behavior-Based Computational Intelligence for Smart Education Systems
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Decoding Structural Equation Modeling
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Enhancing Creativity with AIGC-Driven Animated Concept-Map Multimedia Instruction
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Evaluating Nine Machine Learning Algorithms for GaN HEMT Small Signal Behavioral Modeling through K-fold Cross-Validation
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Structural equation modeling of critical success factors in the programs of development regional
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A Communication Research on Reshaping the Content Ecosystem of New Media Platforms Based on AIGC Technology
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Perceived Ease of Use’s Effects on Behavioral Intention Mediated by Perceived Usefulness and Trust
inferredcites →https://doi.org/10.5539/ass.v10n11p1openalex-snapshot
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How Can Generative Artificial Intelligence help Teachers in Early Childhood Education with their Teaching? Analyses from the Perspective of Teaching Methods
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Research on Innovative Teaching Models in Accounting Education Based on Artificial Intelligence Generated Content (AIGC)

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Unveiling the being of childhood in the AI epoch: A Heideggerian critique of technological transformation in preschool
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Artificial intelligence in early childhood education: a systematic review of trends, methods, and recommendations for quality education
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Teachers’ Continuance Use of AIGC in Practice-Oriented Courses—Evidence from E-commerce Live Streaming Teaching
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Revolutionising Learning: The Impact of Digital Transformation on Education Systems
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Applications of generative AI in early childhood education: A systematic review
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Generative AI in preschool education: A systematic review with SWOT analysis
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Understanding university teachers’ continuance of an AI teaching assistant: an integrated TTF–TAM–ECM model in higher education
inferred← citeshttps://doi.org/10.3389/fpsyg.2026.1800950openalex-snapshot
AIGC affordance and student self-regulation in private undergraduate education: a serial mediation model of self-efficacy and learning motivation
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A Systematic Review of Studies on the Role of Artificial Intelligence in Promoting Inclusive Practices in Early Childhood Education
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PRE-SERVICE PRESCHOOL AND PRIMARY EDUCATION TEACHERS’ VIEWS ON THE USE OF ARTIFICIAL INTELLIGENCE IN THE STUDY PROCESS
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