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Instructional Approaches Complementing the Use of Generative Artificial Intelligence in Higher Education

Published: 08 December 2024 Publication History

Abstract

The explosion of generative artificial intelligence (AI) has created a level of chaos in higher education as both students and faculty try to determine its utility and how best to incorporate it into the learning process. Students may view generative AI as a means to an end of achieving a perfect grade, skipping important elements of the learning process, or they may view it as an opportunity to expand their creative efforts. Faculty may view it as a tool students use to circumvent plagiarism detection, may feel it potentially minimizes the role of faculty in the classroom, or they may view it as an opportunity to avail of a supplement to existing activities and assignments. Ultimately, faculty are faced with maintaining academic integrity and reinforcing the need and importance of the learning process. This paper explores the combination of three approaches: peer-supported incremental learning, master/apprentice model, and growth mindset as a way for faculty to guide appropriate student use of generative AI, while also maintaining the integrity of the learning process.

References

[1]
Richard Arum and Josipa Roksa. 2011. Limited learning on college campuses. Soc 48, 3 (2011), 203–207. https://doi.org/10.1007/s12115-011-9417-8
[2]
Derek Bok. 2013. We must prepare Ph.D. students for the complicated art of teaching. The Chronicle of Higher Education. Retrieved June 28, 2024 from https://www.chronicle.com/article/we-must-prepare-ph-d-students-for-the-complicated-art-of-teaching/
[3]
Annie Brock and Heather Hundley. 2016. The growth mindset coach: A teacher's month-by-month handbook for empowering students to achieve. Ulysses Press, Berkeley, CA.
[4]
Annie Brock and Heather Hundley. 2017. The growth mindset playbook: A teacher's guide to promoting student success. Ulysses Press, Berkeley, CA.
[5]
Annie Brock and Heather Hundley. 2018. In other words: Phrases for growth mindset: A teacher's guide to empowering students through effective praise and feedback (Teachers Guide edition ed.). Ulysses Press, Berkeley, CA.
[6]
Elizabeth A. Canning, Katherine Muenks, Dorainne J. Green, and Mary C. Murphy. 2019. STEM faculty who believe ability is fixed have larger racial achievement gaps and inspire less student motivation in their classes. Sci. Adv. 5, 2 (February 2019), eaau4734. https://doi.org/10.1126/sciadv.aau4734
[7]
Clayton M Christensen, Michael B Horn, and Curtis W Johnson. 2008. How “Disruptive Innovation” will change the way we learn. Education Week, 1–2.
[8]
Debby R. E. Cotton, Peter A. Cotton, and J. Reuben Shipway. 2024. Chatting and cheating: Ensuring academic integrity in the era of ChatGPT. Innovations in Education and Teaching International 61, 2 (March 2024), 228–239. https://doi.org/10.1080/14703297.2023.2190148
[9]
Quintin Cutts, Emily Cutts, Stephen Draper, Patrick O'Donnell, and Peter Saffrey. 2010. Manipulating mindset to positively influence introductory programming performance. In Proceedings of the 41st ACM technical symposium on Computer science education (SIGCSE ’10), March 10, 2010. Association for Computing Machinery, New York, NY, USA, 431–435. https://doi.org/10.1145/1734263.1734409
[10]
E. Dell, S. Mason, J. Christman, J. O'Neil, and E. Weeden. 2022. Two theory driven approaches toward a single goal: Retaining students in stem. October 2022. Porto, Portugal.
[11]
Carol S. Dweck. 2006. Mindset: The new psychology of success (Reprint, Updated edition ed.). Random House.
[12]
Carrie B. Fried. 2008. In-class laptop use and its effects on student learning. Computers & Education 50, 3 (April 2008), 906–914. https://doi.org/10.1016/j.compedu.2006.09.006
[13]
Helene Hembrooke and Geri Gay. 2003. The laptop and the lecture: The effects of multitasking in learning environments. J. Comput. High. Educ. 15, 1 (September 2003), 46–64. https://doi.org/10.1007/BF02940852
[14]
Wayne Holmes, Maya Bialik, and Charles Fadel. 2019. Artificial intelligence in education: Promise and implications for teaching and learning. Center for Curriculum Redesign, Boston, MA.
[15]
Johnson. 2023. The importance of handwriting is becoming better understood. The Economist. Retrieved June 28, 2024 from https://www.economist.com/culture/2023/09/14/the-importance-of-handwriting-is-becoming-better-understood
[16]
Anneke Lisberg and Brett Woods. 2018. Mentorship, mindset and learning strategies: An Integrative approach to increasing underrepresented minority student retention in a stem undergraduate program. Journal of STEM Education: Innovations and Research 19, 3 (August 2018), 14–20.
[17]
Sharon Mason and Elissa Weeden. 2022. Chronicling the development of a growth mindset community of practice for computing faculty: Lessons learned and looking forward. In 2022 IEEE Frontiers in Education Conference (FIE), October 2022. 1–9. https://doi.org/10.1109/FIE56618.2022.9962535
[18]
Sharon Mason, Elissa Weeden, and Dan Bogaard. 2022. Building a growth mindset toolkit as a means toward developing a growth mindset for faculty Interactions with Students in and out of the classroom. In Proceedings of the 23rd Annual Conference on Information Technology Education (SIGITE ’22), September 21, 2022. Association for Computing Machinery, New York, NY, USA, 137–141. https://doi.org/10.1145/3537674.3554750
[19]
Heather B. Miller and Melissa C. Srougi. 2021. Growth mindset interventions improve academic performance but not mindset in biochemistry. Biochem Mol Biol Educ 49, 5 (September 2021), 748–757. https://doi.org/10.1002/bmb.21556
[20]
Pam A. Mueller and Daniel M. Oppenheimer. 2014. The pen is mightier than the keyboard: Advantages of longhand over laptop note taking. Psychol Sci 25, 6 (June 2014), 1159–1168. https://doi.org/10.1177/0956797614524581
[21]
Mike Perkins. 2023. Academic integrity considerations of AI Large Language Models in the post-pandemic era: ChatGPT and beyond. JUTLP 20, 2 (January 2023). https://doi.org/10.53761/1.20.02.07
[22]
Justus J. Randolph, Anaya Bryson, Lakshmi Menon, David K. Henderson, Austin Kureethara Manuel, Stephen Michaels, Debra Leigh Walls Rosenstein, Warren McPherson, Rebecca O'Grady, and Angeline S. Lillard. 2023. Montessori education's impact on academic and nonacademic outcomes: A systematic review. Campbell Systematic Reviews 19, 3 (September 2023), e1330. https://doi.org/10.1002/cl2.1330
[23]
Aneeta Rattan, Krishna Savani, Meera Komarraju, Megan M. Morrison, Carol Boggs, and Nalini Ambady. 2018. Meta-lay theories of scientific potential drive underrepresented students’ sense of belonging to science, technology, engineering, and mathematics (STEM). Journal of Personality and Social Psychology 115, 1 (July 2018), 54–75. http://dx.doi.org/10.1037/pspi0000130
[24]
Science News. 1975. Math in the schools: What's wrong? | Science News. ScienceNews 108, 21 (November 1975). Retrieved from https://www.sciencenews.org/archive/math-schools-whats-wrong
[25]
John Philip Sousa. 1906. The menace of mechanical music. Appleton's Magazine 8, (1906), 278–284.
[26]
Ahmed Tlili, Boulus Shehata, Michael Agyemang Adarkwah, Aras Bozkurt, Daniel T. Hickey, Ronghuai Huang, and Brighter Agyemang. 2023. What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learn. Environ. 10, 1 (February 2023), 15. https://doi.org/10.1186/s40561-023-00237-x
[27]
Ying Wang, Guizella A. Rocabado, Jennifer E. Lewis, and Scott E. Lewis. 2021. Prompts to promote success: Evaluating utility value and growth mindset interventions on general chemistry students’ attitude and academic Pperformance. J. Chem. Educ. 98, 5 (May 2021), 1476–1488. https://doi.org/10.1021/acs.jchemed.0c01497
[28]
Jaime Warburton. 2023. Using Montessori tactics in college classes. Inside Higher Ed. Retrieved June 28, 2024 from https://www.insidehighered.com/opinion/career-advice/teaching/2023/07/05/benefits-using-montessori-principles-college-classes
[29]
David Wood and David Middleton. 1975. A study of assisted problem-solving. British Journal of Psychology 66, 2 (May 1975), 181. https://doi.org/10.1111/j.2044-8295.1975.tb01454.x
[30]
Jared Woodard. 2019. Rotten STEM: How technology corrupts education. American Affairs Journal. Retrieved June 28, 2024 from https://americanaffairsjournal.org/2019/08/rotten-stem-how-technology-corrupts-education/
[31]
Qiuchen Yu and Christian D. Schunn. 2023. Understanding the what and when of peer feedback benefits for performance and transfer. Computers in Human Behavior 147, (October 2023), 107857. https://doi.org/10.1016/j.chb.2023.107857
[32]
Olaf Zawacki-Richter, Victoria I. Marín, Melissa Bond, and Franziska Gouverneur. 2019. Systematic review of research on artificial intelligence applications in higher education – where are the educators? Int J Educ Technol High Educ 16, 1 (December 2019), 39. https://doi.org/10.1186/s41239-019-0171-0
[33]
Stephen J. Zilora. 2021. Applying aviation training techniques in the IT classroom. In Proceedings of the 22nd Annual Conference on Information Technology Education (SIGITE ’21), October 06, 2021. Association for Computing Machinery, New York, NY, USA, 135–140. https://doi.org/10.1145/3450329.3476857
[34]
Zheng Zong, Christian D. Schunn, and Yanqing Wang. 2021. Learning to improve the quality peer feedback through experience with peer feedback. Assessment & Evaluation in Higher Education 46, 6 (August 2021), 973–992. https://doi.org/10.1080/02602938.2020.1833179

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              cover image ACM Conferences
              SIGITE '24: Proceedings of the 25th Annual Conference on Information Technology Education
              October 2024
              185 pages
              ISBN:9798400711060
              DOI:10.1145/3686852
              This work is licensed under a Creative Commons Attribution International 4.0 License.

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              Published: 08 December 2024

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              1. Artificial intelligence
              2. Growth mindset
              3. Master/Apprentice model
              4. Peer-supported incremental learning

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