User:AiDeveloper12/Artificial intelligence in education/Bibliography
You will be compiling your bibliography and creating an outline of the changes you will make in this sandbox.
![]() | Bibliography
As you gather the sources for your Wikipedia contribution, think about the following:
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Bibliography
edit- Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review https://ieeexplore.ieee.org/document/9069875 Reviews AI applications like intelligent tutoring, personalized learning, and assessment, with a focus on trends and challenges.
- Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Analyzes AI’s potential to transform teaching, including adaptive learning and ethical concerns.
- Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic Review of Research on Artificial Intelligence Applications in Higher Education – Where Are the Gaps? https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-019-0171-0 A systematic review of 146 studies on AI in higher education, identifying gaps in ethics and accessibility.
- Cukurova, M., & Luckin, R. (2022). The Promise and Challenges of Artificial Intelligence in Education.
- U.S. Department of Education (2023) – Artificial Intelligence and the Future of Teaching and Learning https://www.ed.gov/sites/ed/files/documents/ai-report/ai-report.pdf Outlines AI’s potential in education, based on stakeholder input, with recommendations for implementation.
- UNESCO (2021) – AI and Education: Guidance for Policy-Makers https://unesdoc.unesco.org/ark:/48223/pf0000376709Provides a global framework for integrating AI into education, addressing equity, ethics, and teacher training.
- World Economic Forum. (2024). The Future of Learning: AI is Revolutionizing Education 4.0. https://www.weforum.org/stories/2024/04/future-learning-ai-revolutionizing-education-4-0/ Discusses AI’s role in enhancing equity, accessibility, and teacher efficiency in education.
- Forbes. (2024). Artificial Intelligence in Education: Teachers’ Opinions on AI in the Classroom. https://www.forbes.com/advisor/education/it-and-tech/artificial-intelligence-in-school/ Summarizes a survey of 500 U.S. educators on AI’s benefits and concerns.
- Nguyen, A., Ngo, H. N., & Hong, Y. (2023). Ethical Considerations in AI-Based Education Systems: A Review. https://link.springer.com/article/10.1007/s10639-022-11316-w Examines ethical issues like bias, privacy, and fairness in AIEd systems.
- Xu, W., Ouyang, F. (2022). The application of AI technologies in STEM education: a systematic review from 2011 to 2021 https://stemeducationjournal.springeropen.com/articles/10.1186/s40594-022-00377-5 Focuses on STEM based education
- University of Illinois (2024) AI in Schools: Pros and Cons https://education.illinois.edu/about/news-events/news/article/2024/10/24/ai-in-schools--pros-and-cons
- Harvard Graduate School of Education (2023). Embracing Artificial Intelligence in the Classroom https://www.gse.harvard.edu/ideas/usable-knowledge/23/07/embracing-artificial-intelligence-classroom
- Ofosu-Ampong, Kingsley., Acheampong, Bryan. & Amankwah - Sarfo, Fred. (2023). Acceptance of Artificial Intelligence (ChatGPT) in Education: Trust, Innovativeness and Psychological Need of Students https://www.researchgate.net/publication/372787378_Acceptance_of_Artificial_Intelligence_ChatGPT_in_Education_Trust_Innovativeness_and_Psychological_Need_of_Students This study examines student acceptance of AI tools like ChatGPT, focusing on trust and psychological needs. It’s ideal for sections on student perspectives and AI adoption barriers.
- Popenici, S. A. D., & Kerr, S. (2023). Exploring the impact of artificial intelligence on teaching and learning in higher education. https://telrp.springeropen.com/articles/10.1186/s41039-017-0062-8 Examines AI’s effects on higher education pedagogy, administration, and student outcomes.
- Robert., Jenay. (2024). (2024). The Future of AI in Higher Education https://www.educause.edu/ecar/research-publications/2024/2024-educause-ai-landscape-study/the-future-of-ai-in-higher-education
- Hwang, G.-J., & Tu, Y.-F. (2021). Roles and research trends of artificial intelligence in education: A bibliometric mapping analysis. https://www.mdpi.com/2227-7390/9/6/584
- Roll, I., & Wylie, R. (2016). Evolution and revolution in artificial intelligence in education. https://link.springer.com/article/10.1007/s40593-016-0110-3
- Selwyn, N. (2022). The Future of AI and Education: Some Critical Reflections. https://onlinelibrary.wiley.com/doi/10.1111/ejed.12532
- Bozkurt, A., & Sharma, R. C. (2023). Generative AI in Education: Opportunities and Challenges. https://files.eric.ed.gov/fulltext/EJ1389644.pdf
- Park University. (2025). AI in Education: The Rise of Intelligent Tutoring Systems. https://www.park.edu/blog/ai-in-education-the-rise-of-intelligent-tutoring-systems/ The article discusses the rise of AI-driven intelligent tutoring systems in education, highlighting their ability to provide personalized learning
Outline of proposed changes
editI will include the recent development and research made in Artificial Intelligence(AI) such as rise of generative chat bot usage in recent times and the new government guidelines. The article lacks sources that address content gaps, update outdated information, and improve readability and neutrality The articles and research papers mentioned in the bibliography will help in filling gap by that the current Wikipedia page on Article fails to contemplate.
The article also lacks a global perspective and new topics such as rise of ethical issues in AI. Topics such as data privacy, algorithm fairness, ethical concerns and challenges involved are missing here, which intend to include. Peer-reviewed research article will be used to summarize what the academic community has found most promising and most problematic in the field.
In addition I will restructure the article with more clarity and readability by reorganizing the headings and update the outdated technical terms. I will also delete outdated source of case studies, keeping the relevant ones and include latest trends. These changes will make the article more informative, balanced, and useful for readers seeking an up-to-date understanding of Artificial Intelligence in education.