On the public citation graph
AI for data generation in education: Towards learning and teaching support at scale
0 signed · 25 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known work and none has been retracted — and get a dated CiteStamped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/10.1007/978-3-031-36272-9_13openalex-snapshot
Adoption of Artificial Intelligence in Schools: Unveiling Factors Influencing Teachers’ Engagement
inferredcites →https://doi.org/10.1007/978-981-97-9388-4_4openalex-snapshot
How to Plan and Manage a Blended Learning Course Module Using Generative Artificial Intelligence?
inferredcites →https://doi.org/10.1038/s41551-021-00751-8openalex-snapshot
Synthetic data in machine learning for medicine and healthcare
inferredcites →https://doi.org/10.1080/0144929x.2024.2394886openalex-snapshot
The promise and challenges of generative AI in education
inferredcites →https://doi.org/10.1111/bjet.13388openalex-snapshot
Understanding privacy and data protection issues in learning analytics using a systematic review
inferredcites →https://doi.org/10.1111/bjet.13554openalex-snapshot
Are simpler math stories better? Automatic readability assessment of GAI ‐generated multimodal mathematical stories validated by engagement
inferredcites →https://doi.org/10.1111/bjet.13558openalex-snapshot
Assessing student perceptions and use of instructor versus AI ‐generated feedback
inferredcites →https://doi.org/10.1111/bjet.13570openalex-snapshot
Leveraging LLM respondents for item evaluation: A psychometric analysis
inferredcites →https://doi.org/10.1111/bjet.13571openalex-snapshot
Scaffolding middle school mathematics curricula with large language models
inferredcites →https://doi.org/10.1111/bjet.13576openalex-snapshot
Ensuring privacy through synthetic data generation in education
inferredcites →https://doi.org/10.1145/3706468.3706523openalex-snapshot
Creating Artificial Students that Never Existed: Leveraging Large Language Models and CTGANs for Synthetic Data Generation
inferredcites →https://doi.org/10.1145/3706468.3706546openalex-snapshot
Can Synthetic Data be Fair and Private? A Comparative Study of Synthetic Data Generation and Fairness Algorithms
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1016/j.chb.2025.108769openalex-snapshot
Delving into the psychology of Machines: Exploring the structure of self-regulated learning via LLM-generated survey responses
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130140openalex-snapshot
QuerIA: adaptive question generation and evaluation in higher education using large language models and contextual learning
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.105119openalex-snapshot
Generative AI use and sustainable pedagogical practices as predictors of 4Cs skill development: The mediating role of digital literacy among international postgraduate students in China
inferred← citeshttps://doi.org/10.1016/j.jeap.2025.101614openalex-snapshot
EAP in the digital age: Leveraging technology for language development
inferred← citeshttps://doi.org/10.1017/s0267190526100282openalex-snapshot
GenAI and language learning motivation: Fundamental questions and a research agenda
inferred← citeshttps://doi.org/10.1080/15391523.2026.2621640openalex-snapshot
Toward guidance and principled values on the ethical, responsible, and transparent use of GenAI in the educational research process
inferred← citeshttps://doi.org/10.1109/bdpc69980.2026.11608206openalex-snapshot
Exploration and Practice of AIGC-Enabled Teaching in the Course "Big Data Computing Technology"
inferred← citeshttps://doi.org/10.1109/tlt.2026.3720406openalex-snapshot
Automating Situational Judgment Tests From Likert Scales: A Multiagent LLM Framework for Literacy Assessment
inferred← citeshttps://doi.org/10.17853/1994-5639-2026-5311openalex-snapshot
Review of modern technologies for assessing knowledge and professional competencies in higher online education
inferred← citeshttps://doi.org/10.17853/1994-5639-2026-6-163-200openalex-snapshot
Designing an AI assistant to support independent learning in first -and second-year students
inferred← citeshttps://doi.org/10.32674/96t36095openalex-snapshot
Artificial intelligence for inclusive and sustainable international education
inferred← citeshttps://doi.org/10.3390/app15084279openalex-snapshot
Students’ Perceptions of AI Digital Assistants (AIDAs): Should Institutions Invest in Their Own AIDAs?
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.