On the public citation graph
Latent profiles of AI learning conditions among university students: Implications for educational intentions
0 signed · 61 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/hbe2.195openalex-snapshot
The theory of planned behavior: Frequently asked questions
inferredcites →https://doi.org/10.1002/jee.20503openalex-snapshot
Collaborative construction of artificial intelligence curriculum in primary schools
inferredcites →https://doi.org/10.1007/978-3-319-60013-0_107-1openalex-snapshot
Artificial Intelligence in Education
inferredcites →https://doi.org/10.1007/s10639-021-10831-6openalex-snapshot
Learning design to support student-AI collaboration: perspectives of leading teachers for AI in education
inferredcites →https://doi.org/10.1007/s10639-023-12333-zopenalex-snapshot
Factors influencing students' intention to adopt and use ChatGPT in higher education: A study in the Vietnamese context
inferredcites →https://doi.org/10.1016/j.caeai.2023.100127openalex-snapshot
Developing a model for AI Across the curriculum: Transforming the higher education landscape via innovation in AI literacy
inferredcites →https://doi.org/10.1016/j.cedpsych.2020.101859openalex-snapshot
From expectancy-value theory to situated expectancy-value theory: A developmental, social cognitive, and sociocultural perspective on motivation
inferredcites →https://doi.org/10.1016/j.chbr.2024.100402openalex-snapshot
Understanding the diffusion of AI-generative (ChatGPT) in higher education: Does students' integrity matter?
inferredcites →https://doi.org/10.1016/j.edurev.2019.03.001openalex-snapshot
Unpacking teachers’ intentions to integrate technology: A meta-analysis
inferredcites →https://doi.org/10.1016/j.learninstruc.2022.101653openalex-snapshot
Introducing the DYNAMICS framework of moment-to-moment development in achievement motivation
inferredcites →https://doi.org/10.1080/10494820.2020.1769680openalex-snapshot
The influence of intrinsic motivation and contextual factors on MOOC students’ social entrepreneurial intentions
inferredcites →https://doi.org/10.1108/ebr-11-2018-0203openalex-snapshot
When to use and how to report the results of PLS-SEM
inferredcites →https://doi.org/10.1109/access.2020.2988510openalex-snapshot
Artificial Intelligence in Education: A Review
inferredcites →https://doi.org/10.1109/emr.2023.3315191openalex-snapshot
The Transformative Power of AI as Future GPTs in Propelling Society Into a New Era of Advancement
inferredcites →https://doi.org/10.1109/mipro60963.2024.10569714openalex-snapshot
AI-Based Education Tools for Enabling Inclusive Education: Challenges and Benefits
inferredcites →https://doi.org/10.1111/bjet.13425openalex-snapshot
Investigation of the moderation effect of gender and study level on the acceptance and use of generative AI by higher education students: Comparative evidence from Poland and Egypt
inferredcites →https://doi.org/10.1146/annurev.psych.53.100901.135153openalex-snapshot
Motivational Beliefs, Values, and Goals
inferredcites →https://doi.org/10.1177/0165025420965731openalex-snapshot
Family socioeconomic status and parental expectations affect mathematics achievement in a national sample of Chilean students
inferredcites →https://doi.org/10.1177/21582440231180671openalex-snapshot
Measuring Motivation for Mathematics Course Choice in Secondary School Students: Interrelationships Between Cost and Other Situated Expectancy-Value Theory Components
inferredcites →https://doi.org/10.1186/s12909-022-03896-5openalex-snapshot
Exploration of exposure to artificial intelligence in undergraduate medical education: a Canadian cross-sectional mixed-methods study
inferredcites →https://doi.org/10.1186/s40561-023-00284-4openalex-snapshot
An expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI
inferredcites →https://doi.org/10.1186/s41239-019-0171-0openalex-snapshot
Systematic review of research on artificial intelligence applications in higher education – where are the educators?
inferredcites →https://doi.org/10.1186/s41239-020-00193-3openalex-snapshot
Prerequisites for artificial intelligence in further education: identification of drivers, barriers, and business models of educational technology companies
inferredcites →https://doi.org/10.1186/s41239-020-0177-7openalex-snapshot
Predicting academic success in higher education: literature review and best practices
inferredcites →https://doi.org/10.1186/s41239-023-00392-8openalex-snapshot
Artificial intelligence in higher education: the state of the field
inferredcites →https://doi.org/10.1186/s41239-023-00417-2openalex-snapshot
University students’ intentions to learn artificial intelligence: the roles of supportive environments and expectancy–value beliefs
inferredcites →https://doi.org/10.1287/mnsc.35.8.982openalex-snapshot
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
inferredcites →https://doi.org/10.15694/mep.2021.000075.1openalex-snapshot
Knowledge and Attitudes on Artificial Intelligence in Healthcare: A Provincial Survey Study of Medical Students
inferredcites →https://doi.org/10.17275/per.22.41.9.2openalex-snapshot
Determining middle school students' perceptions of the concept of artificial intelligence: A metaphor analysis
inferredcites →https://doi.org/10.19044/ejes.v10no1a24openalex-snapshot
The Impact of Artificial Intelligence on Higher Education: An Empirical Study
inferredcites →https://doi.org/10.2196/45631openalex-snapshot
Understanding Prospective Physicians’ Intention to Use Artificial Intelligence in Their Future Medical Practice: Configurational Analysis
inferredcites →https://doi.org/10.2307/30036540openalex-snapshot
User Acceptance of Information Technology: Toward A Unified View1
inferredcites →https://doi.org/10.24234/miopap.v10i1.454openalex-snapshot
REVOLUTIONARY CHANGES IN HIGHER EDUCATION WITH ARTIFICIAL INTELLIGENCE
inferredcites →https://doi.org/10.30935/cedtech/13123openalex-snapshot
Collaborative learning and skill development for educational growth of artificial intelligence: A systematic review
inferredcites →https://doi.org/10.30935/cedtech/13152openalex-snapshot
Revolutionizing education with AI: Exploring the transformative potential of ChatGPT
inferredcites →https://doi.org/10.3389/fpsyg.2019.01662openalex-snapshot
In-the-Moment Profiles of Expectancies, Task Values, and Costs
inferredcites →https://doi.org/10.3389/fpsyg.2022.870777openalex-snapshot
Exploring Factors of the Willingness to Accept AI-Assisted Learning Environments: An Empirical Investigation Based on the UTAUT Model and Perceived Risk Theory
inferredcites →https://doi.org/10.3389/fpsyg.2022.893691openalex-snapshot
Adoption of AI-Enabled Tools in Social Development Organizations in India: An Extension of UTAUT Model
inferredcites →https://doi.org/10.3389/fpsyg.2022.958286openalex-snapshot
Peers and teachers as the best source of social support for school engagement for both advantaged and priority education area students
inferredcites →https://doi.org/10.3390/bs14090845openalex-snapshot
ChatGPT in Learning: Assessing Students’ Use Intentions through the Lens of Perceived Value and the Influence of AI Literacy
inferredcites →https://doi.org/10.3390/bs14100956openalex-snapshot
The Impact of AI Usage on University Students’ Willingness for Autonomous Learning
inferredcites →https://doi.org/10.3390/electronics10243171openalex-snapshot
Factors Influencing Students’ Acceptance of M-Learning in Higher Education: An Application and Extension of the UTAUT Model
inferredcites →https://doi.org/10.3390/healthcare11091298openalex-snapshot
Investigating Students’ Perceptions towards Artificial Intelligence in Medical Education
inferredcites →https://doi.org/10.3390/info15060314openalex-snapshot
Determinants of Humanities and Social Sciences Students’ Intentions to Use Artificial Intelligence Applications for Academic Purposes
inferredcites →https://doi.org/10.3390/math8112089openalex-snapshot
An Extended Theory of Planned Behavior for the Modelling of Chinese Secondary School Students’ Intention to Learn Artificial Intelligence
inferredcites →https://doi.org/10.3390/su14137811openalex-snapshot
Teachers’ Perceptions of Teaching Sustainable Artificial Intelligence: A Design Frame Perspective
inferredcites →https://doi.org/10.46328/ijte.725openalex-snapshot
A Questionnaire of Artificial Intelligence Use Motives: A Contribution to Investigating the Connection between AI and Motivation
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/rev3.70187openalex-snapshot
From deskilling to reskilling: Navigating AI integration in academic practice in higher education
inferred← citeshttps://doi.org/10.1016/j.tsc.2026.102385openalex-snapshot
Brains on copy-paste mode? A mixed-methods study on the relationship between generative artificial intelligence use and students’ critical thinking skills
inferred← citeshttps://doi.org/10.1080/0144929x.2025.2520595openalex-snapshot
Mapping the complexity of learners’ attitudes toward ChatGPT: preliminary validation of a new scale
inferred← citeshttps://doi.org/10.1080/10494820.2025.2559930openalex-snapshot
Can artificial intelligence anxiety serve as a facilitator: the relationship between pre-service teachers’ AI anxiety, their motivated learning and AI self-efficacy
inferred← citeshttps://doi.org/10.1080/15391523.2025.2568516openalex-snapshot
University students’ AI thinking: A Latent Profile Analysis and predictive effects of psychological factors
inferred← citeshttps://doi.org/10.1177/21582440261496363openalex-snapshot
Learner Resources and Grammar Achievement in AI-Assisted EFL Learning: A Motivation-Mediation Model in Chinese Private Higher Education
inferred← citeshttps://doi.org/10.12688/openreseurope.24951.1openalex-snapshot
The bright highlights and the dark shadows of artificial intelligence in higher education
inferred← citeshttps://doi.org/10.1515/9783112206393-004openalex-snapshot
63AI in Higher Education: When Do University Students Consider It Ethical or Unethical?
inferred← citeshttps://doi.org/10.21686/6/1818-4243-2026-3-58-72openalex-snapshot
Artificial Intelligence and Virtual Reality in Teaching of Language Phraseology: Cognitive-Digital Model and Its Effectiveness
inferred← citeshttps://doi.org/10.30935/cedtech/16039openalex-snapshot
Understanding higher education students’ adoption of generative AI technologies: An empirical investigation using UTAUT2
inferred← citeshttps://doi.org/10.3389/fpsyg.2026.1921158openalex-snapshot
Profile analysis of college students’ AI literacy and cognitive flexibility and its correlation with deep learning ability
inferred← citeshttps://doi.org/10.3389/fpsyt.2026.1894754openalex-snapshot
Differentiation under pressure: psychological pathways and latent profiles of GenAI dependence among graduate students
inferred← citeshttps://doi.org/10.4018/979-8-3373-3907-8.ch004openalex-snapshot
Theories of Motivation and Their Role in Online Learning Environments
inferred← citeshttps://doi.org/10.53358/ecosacademia.v11i21.1227openalex-snapshot
Agente conversacional: ¿medio tecnológico para innovar el entorno educativo?
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.