ArticleAI and ethics2022
Artificial Intelligence in Education (AIEd): a high-level academic and industry note 2021.
Article in AI and ethics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Explaining reported generative AI engagement in higher education: an extended TAM with ethical compatibility and reliance-based trust.Scientific reports · 2026Article
- The relationship between instructional feedback and academic performance: the role of artificial intelligence perception.BMC medical education · 2026Article
- Important Ethical, Technical, and Epidemiological Considerations in an AI Tool Production (ETEPAI): Scoping Review.JMIR AI · 2026Review
- Comparing AI-Assisted Problem-Solving Ability With Internet Search Engine and e-Books in Medical Students With Variable Prior Subject Knowledge: Cross-Sectional Study.JMIR medical education · 2026Article
- AI and higher education: teachers' perceptions of students' ethical tensions in online pedagogical methods.Frontiers in psychology · 2026Article
- Exploring faculty perceptions and concerns regarding artificial intelligence Chatbots in nursing education: potential benefits and limitations.BMC nursing · 2025Article
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- Cracking the code of teacher burnout: the chain mediation of GPT integration degree through behavioral engagement and classroom atmosphere in a cross-level chain mediation model.Frontiers in psychology · 2024Article
- tachAId-An interactive tool supporting the design of human-centered AI solutions.Frontiers in artificial intelligence · 2024Article
- The implementation of chatbot-mediated immediacy for synchronous communication in an online chemistry course.Education and information technologies · 2023Article
- Teachers' AI digital competencies and twenty-first century skills in the post-pandemic world.Educational technology research and development : ETR & D · 2023Article
- The potential of learning with (and not from) artificial intelligence in education.Frontiers in artificial intelligence · 2022Review
- Effectiveness of Artificial Intelligence (AI) in Improving Pupils' Deep Learning in Primary School Mathematics Teaching in Fujian Province.Computational intelligence and neuroscience · 2022Article
- Artificial intelligence in education: Addressing ethical challenges in K-12 settings.AI and ethics · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the past few decades, technology has completely transformed the world around us. Indeed, experts believe that the next big digital transformation in how we live, communicate, work, trade and learn will be driven by Artificial Intelligence (AI) [83]. This paper presents a high-level industrial and academic overview of AI in Education (AIEd). It presents the focus of latest research in AIEd on reducing teachers' workload, contextualized learning for students, revolutionizing assessments and developments in intelligent tutoring systems. It also discusses the ethical dimension of AIEd and the potential impact of the Covid-19 pandemic on the future of AIEd's research and practice. The intended readership of this article is policy makers and institutional leaders who are looking for an introductory state of play in AIEd.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.