Optimizing Academic Assessment: The Impact of AI on Student Integrity, Creativity, and Achievement

Optimizing Academic Assessment: The Impact of AI on Student Integrity, Creativity, and Achievement
  IJETT-book-cover           
  
© 2024 by IJETT Journal
Volume-72 Issue-11
Year of Publication : 2024
Author : Nadir Zaibout, Mourad Madrane
DOI : 10.14445/22315381/IJETT-V72I11P134

How to Cite?
Nadir Zaibout, Mourad Madrane, "Optimizing Academic Assessment: The Impact of AI on Student Integrity, Creativity, and Achievement," International Journal of Engineering Trends and Technology, vol. 72, no. 11, pp. 357-370, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I11P134

Abstract
In this day and age, anyone teaching in an academic or professional environment must consider the tools and functionalities of artificial intelligence when planning assessments where Internet access is available. It must be made clear whether or not conversational tools are permitted in assessments of any kind, whether formative or summative. The assessment of student's academic achievements raises many questions, including how to make the use of artificial intelligence superfluous, how to put artificial intelligence into the design of assessments, and how to focus assessment tasks on what humans do better than machines (reflection, analysis, linking concepts, synthesis, creation). Our study will attempt to reflect on adopting artificial intelligence in the classroom as an opportunity to reinforce the culture of academic integrity among female students at Moroccan universities and elsewhere and make plagiarism more challenging by adapting assessments to stimulate student creativity and innovation.

Keywords
Artificial intelligence, Prior learning assessment, Formative and summative assessment, AI in academic evaluation, Moroccan University AI Integration, Ethics of AI in education.

References
[1] Rose Luckin, “Towards Artificial Intelligence-Based Assessment Systems,” Nature Human Behaviour, vol. 1, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Wayne Holmes, Maya Bialik, and Charles Fadel, Artificial Intelligence in Education : Promises and Implications for Teaching and Learning, Center for Curriculum Redesign, 2019.
[Google Scholar] [Publisher Link].
[3] Neil Selwyn, Should Robots Replace Teachers? AI and the Future of Education, Polity Press, Medford, MA, USA, pp. 1-80, 2019.
[Google Scholar] [Publisher Link]
[4] Ryan Baker, Getting Past the Current Trade-Off Between Privacy and Equity in Educational Technology, The Economics of Equity in K-12 Education: Connecting Financial Investments with Effective Programming, 2023.
[Google Scholar] [Publisher Link]
[5] Ben Williamson, “New Digital Laboratories of Experimental Knowledge Production: Artificial Intelligence and Education Research,” London Review of Education, vol. 18, no. 2, pp. 209-220, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[6] David Boud, Assessment-as-Learning for the Development of Students' Evaluative Judgement, 1st ed., Assessment as Learning, 2021.
[Google Scholar] [Publisher Link]
[7] Michael I. Jordan, “Artificial Intelligence - The Revolution Hasn't Happened Yet,” Harvard Data Science Review, no. 1.1, pp. 1-8, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Gerhard Fischer, Johan Lundin, and Ola J. Lindberg, “The Challenge for The Digital Age: Making Learning a Part of Life,” The International Journal of Information and Learning Technology, vol. 40, no. 1, pp. 1-16, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Ashok K. Goel, and David A. Joyner, “Using AI to Teach AI: Lessons from an Online AI Class,” AI Magazine, vol. 38, no. 2, pp. 48-58, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Kiran Mehta, and Renuka Sharma, Prioritizing the Critical Success Factors of E‐Learning Systems by Using DEMATEL, Redefining Virtual Teaching Learning Pedagogy, pp. 401-420, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Safiya Umoja Noble, “Algorithms of Oppression: How Search Engines Reinforce Racism,” USA, New York University Press, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Robert J. Mislevy, An Evidentiary-Reasoning Perspective on Automated Scoring: Commentary on Part I, 1st ed., Handbook of Automated Scoring, pp. 151-168, 2020.
[Google Scholar] [Publisher Link]
[13] Avinash Agarwal, Harsh Agarwal, and Nihaarika Agarwal, “Fairness Score and Process Standardization: Framework for Fairness Certification in Artificial Intelligence Systems,” AI and Ethics, vol. 3, pp. 267-279, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[14] M. Fadhil et al., “Impact of Project Based Learning on Creative Thinking Skills and Student Learning Outcomes,” Journal of Physics: Conference Series, vol. 1940, no. 1, pp. 1-9, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Mohammed Mastafi, “Obstacles to the Integration of Information and Communication Technologies (ICT) in the Moroccan Education System,” Frantice. Net, no. 8, pp. 50-65, 2014.
[Google Scholar] [Publisher Link]
[16] Simon Collin, and Emmanuelle Marceau, “Ethical and Critical Issues of Artificial Intelligence in Higher Education,” Public Ethics, International Journal of Societal and Governmental Ethics, vol. 24, no. 2, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Fengchun Miao, and Wayne Holmes, Guidelines for Generative Artificial Intelligence in Education and Research, United Nations Educational, Scientific and Cultural Organization, UNESCO, pp. 1-44, 2023.
[Google Scholar] [Publisher Link]
[18] International Telecommunication Union, Measuring the Information Society Report, 2021. [Online]. Available: https://www.itu.int/pub/D-IND-ICTOI
[19] United Nations Educational, Scientific and Cultural Organization, Global Education Monitoring Report 2022: Technology and Education, 2022. [Online]. Available: https://www.unesco.org/gem-report/en/publications
[20] “Education at a Glance,” Organisation for Economic Co-operation and Development, pp. 1-498, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Ryan S. Baker, and Aaron Hawn, “Algorithmic Bias in Education,” International Journal of Artificial Intelligence in Education, vol. 31, no. 4, pp. 1052-1092, 2021.
[CrossRef] [Google Scholar] [Publisher Link]