SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
AI in education: A review of personalized learning and educational technology
8 references·1 citing·48 second hop
AI in education: A review of personalized learning and educational technology (2024)AI in education: A review of personalized…Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis (2023)Transforming Education: A Com…Ethical Considerations of Artificial Intelligence in Learning Analytics in Distance Education Contexts (2022)Ethical Considerations of Art…Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction (2020)Tackling COVID-19 through Res…Data, Power and Bias in Artificial Intelligence (2020)Data, Power and Bias in Artif…Challenges and Future Directions of Big Data and Artificial Intelligence in Education (2020)Challenges and Future Directi…Bias in data‐driven artificial intelligence systems—An introductory survey (2020)Bias in data‐driven artificia…Understanding artificial intelligence ethics and safety (2019)Understanding artificial inte…Ethical challenges of edtech, big data and personalized learning: twenty-first century student sorting and tracking (2018)Ethical challenges of edtech,…Systematic Review of Artificial Intelligence in Education: Trends, Benefits, and Challenges (2025)Systematic Review of Artifici…Privacy and Freedom (1967)Privacy and Freedom (1970)Big Data's Disparate Impact (2014)Artificial intelligence in education: Addressing ethical challenges in K-12 settings (2021)Towards AI ethics’ institutionalization: knowledge bridges from business ethics to advance organizational AI ethics (2022)Ethical issues of the use of AI-driven mobile apps for education (2023)Judgment under Uncertainty: Heuristics and Biases (1975)The Framing of Decisions and the Psychology of Choice (1981)Thinking, Fast and Slow (2011)Improving public services using artificial intelligence: possibilities, pitfalls, governance (2020)Ethical principles for artificial intelligence in education (2022)Technology readiness levels for machine learning systems (2022)CRITICAL QUESTIONS FOR BIG DATA (2012)Fairness through awareness (2012)Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification (2018)A Framework for Understanding Sources of Harm throughout the Machine Learning Life Cycle (2021)Artificial Intelligence and Business Value: a Literature Review (2021)New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution (2023)The Order of Things: An Archaeology of the Human Sciences. (1971)Justice and the Politics of Difference (2011)Chapter 12: What does the Anthropocene hold for citizenship? (2019)Resistance to facial recognition payment in China: The influence of privacy-related factors (2021)A framework for AI-powered service innovation capability: Review and agenda for future research (2023)A critical review towards artificial general intelligence: Challenges, ethical considerations, and the path forward (2024)Algorithms of Oppression (2018)A Survey on Bias and Fairness in Machine Learning (2021)The Ethical Implications of AI-Powered Personalization in Hospitality and Tourism (2024)Responsible AI in structural engineering: a framework for ethical use (2025)The future of employment: How susceptible are jobs to computerisation? (2016)Dissecting racial bias in an algorithm used to manage the health of populations (2019)The Roles of Personality Traits, AI Anxiety, and Demographic Factors in Attitudes toward Artificial Intelligence (2022)Towards Intelligent-TPACK: An empirical study on teachers’ professional knowledge to ethically integrate artificial intelligence (AI)-based tools into education (2022)A comprehensive AI policy education framework for university teaching and learning (2023)Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy (2016)Journal of Education and Practice (2017)The Atlas of AI (2021)Fairness, Accountability, Transparency, and Ethics (FATE) in Artificial Intelligence (AI) and higher education: A systematic review (2023)A Review of Ethical Considerations in Using Artificial Intelligence in E-Learning (2024)Building Trust in AI Education: Addressing Transparency and Ensuring Trustworthiness (2024)Chatting and cheating: Ensuring academic integrity in the era of ChatGPT (2023)Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning (2023)Exploring Artificial Intelligence in Academic Essay: Higher Education Student's Perspective (2023)Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy (2023)Is it harmful or helpful? Examining the causes and consequences of generative AI usage among university students (2024)Generative artificial intelligence in higher education: Evidence from an analysis of institutional policies and guidelines (2025)Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. (1968)Cochrane Handbook for Systematic Reviews of Interventions (2019)The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (2021)
this work references cited by second hop

References

  • 2020Bias in data‐driven artificial intelligence systems—An introductory survey1,111 cited
  • 2023Transforming Education: A Comprehensive Review of Generative Artificial Intelligence in Educational Settings through Bibliometric and Content Analysis959 cited
  • 2020Challenges and Future Directions of Big Data and Artificial Intelligence in Education764 cited
  • 2018Ethical challenges of edtech, big data and personalized learning: twenty-first century student sorting and tracking285 cited
  • 2019Understanding artificial intelligence ethics and safety145 cited
  • 2020Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction94 cited
  • 2022Ethical Considerations of Artificial Intelligence in Learning Analytics in Distance Education Contexts67 cited
  • 2020Data, Power and Bias in Artificial Intelligence31 cited

Cited by

  • 2025Systematic Review of Artificial Intelligence in Education: Trends, Benefits, and Challenges521 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work