Abstract
This paper addresses the challenge of ethically integrating ChatGPT, a sophisticated AI language model, into K-14 economics education. Amidst the growing presence of AI in classrooms, it proposes the “Evaluate, Reflect, Assurance” model, a novel decision-making framework grounded in normative and virtue ethics, to guide educators. This approach is detailed through a theoretical decision tree, offering educators a heuristic tool to weigh the educational advantages and ethical dimensions of using ChatGPT. An educator can use the decision tree to reach a conclusion on using ChatGPT within the classroom environment by using ethical considerations to promote personalized learning and upholding academic integrity. The paper stresses the importance of ongoing professional development for educators in ethical AI usage and calls for institutional support in this pursuit. It also identifies future research directions, including long-term impact studies of ChatGPT and comparative analyses of various AI tools in economics education, underscoring the paper’s relevance to current educational technology discourse.
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Notes
Dr. Chris Clarke has over 44,200 followers on TikTok and discusses economic concepts. Dr. Clarke’s work has been well documented within economics teaching conferences, news articles, and blogs. However, no formal paper or conference presentation has been made publicly available for citation of the work. You can find Dr. Clarke’s TikTok account www.tiktok.com/@EconChrisClarke.
ChatGPT 4 statement is verified on 28th December 2023.
References
Ackerly, B., and K. Attanasi. 2010. Global feminisms: Theory and ethics for studying gendered injustice. New Political Science 31(4): 543–555.https://doi.org/10.1080/07393140903322604
Al-Bahrani, A. 2022. Classroom management and student interaction interventions: Fostering diversity, inclusion, and belonging in the undergraduate economics classroom. The Journal of Economic Education 53(3): 259–272. https://doi.org/10.1080/00220485.2022.2075507.
Al-Bahrani, A., K. Holder, D. Patel, and J. Wooten. 2016. Art of econ: Incorporating the arts through active learning assignments in principles courses. Journal of Economics and Finance Education 15(2): 1–16.
Ben Abdesslem, A. 2022. Teaching macroeconomics through music. Journal of Economic Teaching, 7(3). http://downloads.journalofeconomicsteaching.org/2022/2022-2.pdf.
Ben Abdesslem, A., and J. Picault. 2023. Using Netflix original series to teach economics: A diversity and inclusion approach. International Review of Economics Education 44: 100278. https://doi.org/10.1016/j.iree.2023.100278.
Berg, N. 2003. Normative behavioral economics. The Journal of Socio-Economics 32(4): 411–427. https://doi.org/10.1016/S1053-5357(03)00049-0.
Can, I. H., and M. Honca. 2023. Awareness of scientific publication ethics in higher education. International Journal of Ethics Education 8: 67–84. https://doi.org/10.1007/s40889-022-00154-6.
Colander, D. 2016. Integrating normative issues in the principles of economics texts: Introduction to a symposium. The Journal of Economic Education, 48, 1–2. https://doi.org/10.1080/00220485.2016.1252295.
Geerling, W. 2012. Bringing the ‘dismal science’ to life: Teaching economics through multimedia. International Review of Economics Education 11(2): 81–90. https://doi.org/10.1016/S1477-3880(15)30010-4.
Geerling, W., G. D. Mateer, and B. O’Roark. 2020. Music then and now: Using technology to build a lyric animation module. The American Economist 65(2): 264–276. https://doi.org/10.1177/0569434519889063.
Geerling, W., G. D. Mateer, J. Wooten, and N. Damodaran. 2023. ChatGPT has aced the test of understanding in college economics: Now what? The American Economist. https://doi.org/10.1177/05694345231169654.
Hargreaves, J. 2008. Risk: The ethics of a creative curriculum. Innovations in Education and Teaching International 45: 227–234.https://doi.org/10.1080/14703290802176006
Hill, B. 2023. Taking the help or going alone: ChatGPT and class assignments. HEC Paris– Economics & Decision Sciences, (forthcoming). https://doi.org/10.2139/ssrn.4465833.
Hobbs, K., and J. Wooten. 2021. Teaching principles of microeconomics with the Economics Media Library. Applied Economics Teaching Resources 3(1): 1–21. https://doi.org/10.2139/ssrn.3693351.
Keles, S. 2023. Navigating in the moral landscape: Analysing bias and discrimination in AI through philosophical inquiry. AI Ethics. https://doi.org/10.1007/s43681-023-00377-3.
Khan, I. A., and N. W. Paliwal. 2023. ChatGPT and digital inequality: A rising concern. Scholars Journal of Applied Medical Sciences 11(9): 1646–1647. https://doi.org/10.36347/sjams.2023.v11i09.010.
Lo, C. K. 2023. What is the impact of ChatGPT on education? A rapid review of the literature. Education Sciences 13(4): 410. https://doi.org/10.2139/ssrn.4465833.
Longoni, C., and L. Cian. 2020. Artificial intelligence in utilitarianism vs. hedonic contexts: The word of machine effect. Journal of Marketing 86(1): 91–108. https://doi.org/10.1177/0022242920957347.
Meyer, J. G., R. J. Urbanowicz, P. C. N. Martin, K. O’Connor, R. Li, P. Peng, T. J. Bright, N. Tatonetti, Jae Won, K. Gonzalez-Hernandez, G., and J. H. Moore. 2023. ChatGPT and large language models in academia: Opportunities and challenges. BioData Mining 16(20): 1–11. https://doi.org/10.1186/s13040-023-00339-9.
Mhlanga, D. 2023. Open AI in education, the responsible and ethical use of ChatGPT towards lifelong learning. SSRN, 1–19. https://doi.org/10.2139/ssrn.4354422.
Mills, M. S., J. H. Watson, R. Miller, and M. Morrison. 2022. The effect of Twitter use in the classroom on student’s acceptance of technology using the TAM-3 model. SRATE Journal, 31(1). [ERIC # EJ1361951]. http://www.srate.org/journal.html.
Northrop, E. 2000. Normative foundations of introductory economics. The American Economist 44(1): 53–61. https://doi.org/10.1177/056943450004400107.
Philbeck, T., and N. Davis. 2019. The fourth industrial revolution: Shaping a new era. Journal of International Affairs 72(1): 17–22. https://www.jstor.org/stable/26588339.
Ray, P. P. 2023. ChatGPT: A comprehensive review on background, applications, key challenges, bias ethics, limitations and future scope. Internet of Things and Cyber-Physical Systems 3: 121–154. https://doi.org/10.1016/j.iotcps.2023.04.003.
Rousu, M. C. 2016. Broadway economics. The Journal of Economics Education 47(3): 268. https://doi.org/10.1080/00220485.2016.1179147.
Sallam, M. 2023. ChatGPT utility in healthcare education, research, and practice: Systematic review on the promising perspectives and valid concerns. Healthcare 11(6): 1–20. https://doi.org/10.3390/healthcare11060887.
Scott, A. B., and L. Bloodworth. 2023. Using music to enhance team-based learning in the K-12 Economics Classroom. SSRN, 1–17. https://doi.org/10.2139/ssrn.4398878.
Scott, B. 2023. Protecting vulnerable consumers within the metaverse. InInfluencer marketing applications within the metaverse, ed. R. Bansal, S. A. Qalati and, A. Chakir. (117–131). IGI Global. https://doi.org/10.4018/978-1-6684-8898-0.ch008.
Steele, J. L. 2023. To GPT or not GPT? Empowering our students to learn with AI. Computers and Education: Artificial Intelligence 5: 1–5. https://doi.org/10.1016/j.caeai.2023.100160.
Stock, W. A., K. Ward, J. Folsom, T. Borrenpohl, S. Mumford, Z. Pershin, D. Carriere, and H. Smart. 2013. Cheap and effective: The impact of student-led recitation classes on learning outcomes in introductory economics. The Journal of Economics Education 44(1): 1–16. https://doi.org/10.1080/00220485.2013.740368.
The Wall Street Journal. 2023. Drive-thru AI chatbot vs. Fast-food worker: We tested the tech| WSJ [video]. YouTube. https://www.youtube.com/watch?v=JJxBySZwBAI. 26 July 2023.
Uzun, L. 2023. Are concerns related to artificial intelligence development and use really necessary: A philosophical discussion. Digital Society 2(40): 1–11. https://doi.org/10.1007/s44206-023-00070-2.
Wooten, J., A. Al-Bahrani, K. Holder, and D. Patel. 2020. The role of relevance in economics education: A survey. SSRN, 1–13. https://doi.org/10.2139/ssrn.3606301.
Yu, H. 2023. Reflection on whether ChatGPT should be banned by academia from the perspective of education and teaching. Frontiers in Psychology 14: 1–12. https://doi.org/10.3389/fpsyg.2023.1181712.
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Scott, B., van der Poel, S. Ethical exploration of chatGPT in the modern K-14 economics classroom. International Journal of Ethics Education 9, 65–77 (2024). https://doi.org/10.1007/s40889-024-00184-2
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DOI: https://doi.org/10.1007/s40889-024-00184-2