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Journal ArticleOpen access

Mapping Research Trends in Artificial Intelligence Education in Primary and Secondary Schools: A CiteSpace-Based Knowledge Mapping Study

Ruan, Mengjiao2026

Zenodo

Online resource

DOI: 10.5281/zenodo.23197849

Abstract

The rapid advancement of artificial intelligence has reshaped social, economic, and technological systems, giving rise to new application areas such as intelligent healthcare, smart homes, autonomous transportation, and data-driven public services.

artificial intelligence education; CiteSpace; research hotspots.

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Available through: Datacite

Journal ArticleOpen access

Reframing Artificial Intelligence in Primary Education: A Philosophy of Science Analysis of Elementary School Teachers' Roles

Restiawati, Yanti2026

Zenodo

Online resource

DOI: 10.5281/zenodo.23197969

Abstract

Artificial intelligence is increasingly shaping educational discourse, yet discussions about its role in schooling often remain limited to practical advantages such as automation, efficiency, personalization, and data-informed decision-making.

artificial intelligenceprimary educationelementary school teachersphilosophy of scienceeducational ethics

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Available through: Datacite

Journal ArticleOpen access

Artificial Intelligence Education Policy in Elementary Schools for K12

Susanto, Edy; Arifin, Miftachul2026

Zenodo

Online resource

DOI: 10.5281/zenodo.23197674

Abstract

As governments increasingly promote coding and artificial intelligence (AI) in primary education, attention has shifted from policy adoption to the realities of implementation at the school level.

AIEducationK12ElementarySchools

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Available through: Datacite

Conference ProceedingsOpen access

Explainable Artificial Intelligence for Network Intrusion Detection: A Study on UNSW-NB15 Dataset

Günay, İlker; Esmeray, Hadi2026

SAYBİLDER

Online resource

Abstract

In addition, variables related to connection state and session statistics were also found to contribute to the model decisions. The findings suggest that explainable artificial intelligence approaches can support not only model accuracy but also the transparency of decision-making processes.

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Available through: Datacite

PreprintOpen access

Study on the Helpfulness of Explainable Artificial Intelligence

Tobias Labarta; Elizaveta Kulicheva; Ronja Froelian; Christian Geißler; Xenia Melman; Julian von Klitzing2024

Longo, L., Lapuschkin, S., Seifert, C. (eds) Explainable Artificial Intelligence. xAI 2024. Communications in Computer and Information Science, vol 2156

Online resource

DOI: 10.1007/978-3-031-63803-9_16

cs.HCcs.AI

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Available through: Arxiv

PreprintOpen access

Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach

Casey C. Bennett; Kris Hauser2013

Artificial Intelligence in Medicine. 57(1): 9-19. (2013)

Online resource

DOI: 10.1016/j.artmed.2012.12.003

cs.AIstat.ML

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Available through: Arxiv

PreprintOpen access

A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When?

Subrato Bharati; M. Rubaiyat Hossain Mondal; Prajoy Podder2023

IEEE Transactions on Artificial Intelligence, 2023

Online resource

DOI: 10.1109/tai.2023.3266418

cs.LGcs.AI

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Available through: Arxiv

PreprintOpen access

Games for Artificial Intelligence Research: A Review and Perspectives

Chengpeng Hu; Yunlong Zhao; Ziqi Wang; Haocheng Du; Jialin Liu2023

Online resource

cs.AI

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Available through: Arxiv

PreprintOpen access

Artificial Intelligence and Economic Theories

Tshilidzi Marwala; Evan Hurwitz2017

Online resource

cs.AI

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Available through: Arxiv

PreprintOpen access

Independent of Technology Progress: Artificial General Intelligence as a Contractual Variable in the Microsoft–OpenAI Partnership, 2018–2026

Jefferson, Josie; Velasco, Felix2026

Zenodo

Online resource

DOI: 10.5281/zenodo.23348424

Abstract

Abstract: On April 27, 2026, Microsoft and OpenAI amended their partnership to continue multibillion-dollar revenue-share payments through 2030 "independent of OpenAI's technology progress." The amendment quietly dismantled a seven-year architecture in which artificial general intelligence served as the legal condition governing intellectual property licens…

Artificial General IntelligenceAGIMicrosoft-OpenAI PartnershipIncomplete ContractsContractual Condition

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PreprintOpen access

The Bayesian Reflex: A Predictive Coding Engine for Artificial Intelligence

Sourabh Bhattacharya2026

Online resource

cs.AIcs.LG

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Available through: Arxiv

PreprintOpen access

Linking Artificial Intelligence Principles

Yi Zeng; Enmeng Lu; Cunqing Huangfu2018

Online resource

cs.AIcs.CY

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Available through: Arxiv

Other Scholarly ResourceOpen access

Künstliche Intelligenz – Chance oder Risiko? Vortrag beim Katholischen Bildungswerk Frankenburg am Hausruck

Jung, Alexander2026

Zenodo

Online resource

Abstract

The talk explains, without formulas, what artificial intelligence can and cannot dotoday. Part 1 shows where AI already sits in everyday life (timetables, weather,navigation, licence-plate recognition, recommendations).

Machine learningArtificial intelligence

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PreprintOpen access

AAAI-2019 Workshop on Games and Simulations for Artificial Intelligence

Marwan Mattar; Roozbeh Mottaghi; Julian Togelius; Danny Lange2019

Online resource

cs.AIcs.CLcs.CVcs.LGcs.RO

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Available through: Arxiv

PreprintOpen access

Rule of Thumb: Explaining Artificial Intelligence Systems using Partial Information

Kaivalya Rawal; Daria Onitiu; Brent Mittelstadt; Sandra Wachter; Chris Russell2026

Online resource

cs.AIcs.LGstat.ML

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Available through: Arxiv

PreprintOpen access

Augmented Computational Design: Methodical Application of Artificial Intelligence in Generative Design

Pirouz Nourian; Shervin Azadi; Roy Uijtendaal; Nan Bai2023

Online resource

cs.AIcs.CE

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Available through: Arxiv

PreprintOpen access

From Statistical Relational to Neurosymbolic Artificial Intelligence: a Survey

Giuseppe Marra; Sebastijan Dumančić; Robin Manhaeve; Luc De Raedt2021

Online resource

cs.AI

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Available through: Arxiv

PreprintOpen access

Compression, The Fermi Paradox and Artificial Super-Intelligence

Michael Timothy Bennett2021

Proceedings of the 14th International Conference on Artificial General Intelligence. 2021. Lecture Notes in Computer Science, vol 13154. Springer. pp. 41-44

Online resource

DOI: 10.1007/978-3-030-93758-4_5

cs.AI

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Available through: Arxiv

PreprintOpen access

The Artificial Scientist: Logicist, Emergentist, and Universalist Approaches to Artificial General Intelligence

Michael Timothy Bennett; Yoshihiro Maruyama2021

Proceedings of the 14th International Conference on Artificial General Intelligence. 2021. Lecture Notes in Computer Science, vol 13154. Springer. pp. 45-54

Online resource

DOI: 10.1007/978-3-030-93758-4_6

cs.AI

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PreprintOpen access

Watershed of Artificial Intelligence: Human Intelligence, Machine Intelligence, and Biological Intelligence

Li Weigang; Liriam Enamoto; Denise Leyi Li; Geraldo Pereira Rocha Filho2021

Online resource

cs.AI

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Available through: Arxiv