The Ethical and Social Implications of using Artificial Intelligence in Social Studies Instruction

Authors

  • Resr. Saman Ahmed Abdullah Department of Kurdish Language, College of Education, University of Salahaddin, Erbil,
  • Researcher Khalid Ilias Basheer Qolamani University of Zakho, College of Basic Education Zakho

DOI:

https://doi.org/10.31185/lark.Vol1.Iss52.3250

Keywords:

Keywords: Artificial Intelligence, Social Studies, Education, Ethics, Bias.

Abstract

This paper explores the ethical and social implications of using artificial intelligence (AI) in social studies instruction. While AI offers promising outcomes such as personalized learning, enhanced student engagement, and greater access to information and data, it also raises significant ethical concerns. These include data privacy and security, bias and discrimination, and the risk of over-reliance on AI. The paper also examines the social implications of AI use, such as digital inequality, changes in learning dynamics, and the influence on students' worldviews. The researchers argue for the need to balance the benefits of AI with ethical considerations, emphasizing the importance of data privacy policies, AI transparency, a balance between AI and human interaction, equitable access to AI, and the teaching of critical thinking skills.

References

References:

Angwin, J., Larson, J., Mattu, S., & Kirchner, L. (2016). Machine bias. ProPublica. Retrieved from https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing.

Baker, R. S., & Inventado, P. S. (2014). Educational data mining and learning analytics. In J. L. Polman, E. A. Kyza, D. K. O'Neill, I. Tabak, W. R. Penuel, A. S. Jurow, K. O'Connor, T. Lee & L. D'Amico (Eds.), Learning and becoming in practice: The international conference of the learning sciences (ICLS) 2014 (Vol. 3, pp. 1495-1496). International Society of the Learning Sciences.

Bergner, Y. (2019). Benefits and drawbacks of artificial intelligence in education. eSchool News. Retrieved from https://www.eschoolnews.com/2019/06/05/benefits-and-drawbacks-of-artificial-intelligence-in-education/

Blikstein, P. (2013). Gears of our childhood: Constructionist toolkits, robotics, and physical computing. In R. Luckin, K. R. Koedinger, & J. Greer (Eds.), Handbook of educational technology (pp. 143-153). Routledge.

Chen, C. H., Huang, C. H., & Wu, W. Y. (2020). Using augmented reality and virtual reality to enhance social studies learning: A systematic review. Journal of Educational Technology Development and Exchange, 13(2), 17-36.

Chen, Y., & Huang, Y. (2022). The Role of Teacher Professional Development in the Ethical Implementation of AI-Based Social Studies Instruction. Educational Technology & Society, 25(3), 113-125.

European Commission. (2021). GDPR - General Data Protection Regulation. Retrieved from https://ec.europa.eu/info/law/law-topic/data-protection_en

Eynon, R. (2020). Artificial intelligence, bias and education. Journal of Learning Analytics, 7(3), 1-8.

Federal Trade Commission. (n.d.). Children's Online Privacy Protection Act (COPPA). Retrieved from https://www.ftc.gov/enforcement/rules/rulemaking-regulatory-reform-proceedings/childrens-online-privacy-protection-rule

Ferster, B. (2019). The potential of artificial intelligence in education. The Brookings Institution. Retrieved from https://www.brookings.edu/research/the-potential-of-artificial-intelligence-in-education/

Green, T. D., & Wolkenhauer, R. (2021). Artificial Intelligence and Social Studies Education. The Social Studies, 112(2), 46-54.

Halverson, R., & Shapiro, R. B. (2018). Ethics and Social Implications of Artificial Intelligence in Education. Handbook of Research on Educational Communications and Technology, 727-739.

Hargittai, E. (2019). Privacy in the digital age. Annual Review of Sociology, 45, 439-457.

Huang, C., Wu, W., Chen, C., & Chang, J. (2021). The impact of artificial intelligence-based learning on student achievement in social studies. International Journal of Distance Education Technologies, 19(1), 17-27.

Kim, H., & Cho, Y. (2022). Exploring the Effectiveness of AI-Based Social Studies Instruction. Educational Technology Research and Development, 70(2), 563-578.

Kshetri, N. (2020). The emerging role of blockchain in education. Technological Forecasting and Social Change, 154, 1-9.

Lashley, J. T., & Verbert, K. (2020). Artificial intelligence for education in the context of social studies. International Journal of Educational Technology in Higher Education, 17(1), 1-19.

Lee, J. H., & Kim, J. (2022). Ensuring Equity in AI-Based Social Studies Instruction. Journal of Research in Education, 32(1), 87-100.

Lee, S. J., & Kim, Y. (2022). The Impact of AI on Student Privacy in Social Studies Instruction. Journal of Educational Technology & Society, 25(1), 123-132.

Li, H., & Wang, X. (2022). Addressing Bias in AI-Based Social Studies Instruction. Journal of Educational Technology & Society, 25(2), 174-185.

Mitra, S. (2021). Teaching history and social studies with artificial intelligence: implications for diversity and inclusion. Social Education, 85(4), 208-212.

National Science and Technology Council. (2016). Preparing for the future of artificial intelligence. Executive Office of the President. Retrieved from

National Science Foundation. (2020). Ethical guidelines for educational uses of artificial intelligence. Retrieved from https://www.nsf.gov/pubs/2020/nsf20268/nsf20268.jsp

O'Neill, C. (2016). Weapons of math destruction: How big data increases inequality and threatens democracy. Crown.

Patel, D., Fink, A., & Holmes, D. (2020). Using AI to enhance student learning in history. TechTrends, 64(5), 623-632.

Popenici, S., & Kerr, S. (2017). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22.

Rao, K., & Min, Y. (2020). Enhancing student engagement through personalized learning: An AI-based approach in social studies education. Journal of Educational Technology Development and Exchange, 13(2), 1-15.

Rauch, E. M. (2018). Artificial Intelligence and Education: Ethical and Social Implications. Harvard Educational Review, 88(4), 532-556.

Sari, S., Akpinar, E., & Demiral, U. (2019). The effect of gamification on student engagement and academic performance in social studies. Journal of Educational Computing Research, 57(3), 686-706.

Tresp, V. (2021). Adaptive learning: A review and analysis of recent works. IEEE Transactions on Neural Networks and Learning Systems, 32(4), 1334-1348.

U.S. Department of Education. (n.d.). Family Educational Rights and Privacy Act (FERPA). Retrieved from .

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Published

2023-12-31

Issue

Section

west languages

How to Cite

Saman Ahmed Abdullah , R. ., & Khalid Ilias Basheer Qolamani, R. (2023). The Ethical and Social Implications of using Artificial Intelligence in Social Studies Instruction. Lark, 16(1), 782-762. https://doi.org/10.31185/lark.Vol1.Iss52.3250