AI-Powered Teaching Assistants: Enhancing Learning Outcomes

Jueying Li, Raguvaran S., Saravanan Murugesan, R. Pavithra, Sravani Parvathareddy

Abstract


AI-powered teaching assistants are transforming the educational landscape by enhancing learning outcomes and improving student engagement. This paper examines the technologies and methodologies involved in developing AI teaching assistants, focusing on their applications in personalized learning, assessment, and feedback. Through case studies, the paper highlights the benefits of using AI assistants, including increased student motivation, tailored learning experiences, and improved educational equity. Additionally, challenges related to implementation, data privacy, and the role of educators are discussed.

Keywords


AI, teaching assistants, learning outcomes, education.

References


Aithal, P. S., and Shubhrajyotsna Aithal. “Optimizing The Use of Artificial Intelligence-powered GPTs as Teaching and Research Assistants by Professors in Higher Education Institutions: A Study on Smart Utilization”. International Journal of Management, Technology, and Social Sciences (IJMTS), vol. 8, no. 4, 2023, pp. 368–401.

Alam, Ashraf. “Harnessing the Power of AI to Create Intelligent Tutoring Systems for Enhanced Classroom Experience and Improved Learning Outcomes”. Intelligent Communication Technologies and Virtual Mobile Networks, Springer, 2023, pp. 571–591.

Ali, Majid, et al. “AI-powered Customized Learning Paths: Transforming Data Administration for Students on Digital Platforms”. Journal of Computing & Biomedical Informatics, vol. 6, no. 02, 2024, pp. 195–204.

Dandachi, Ibtihaj El. “AI-powered Personalized Learning: Toward Sustainable Education”. Navigating the Intersection of Business, Sustainability and Technology, Springer, 2024, pp. 109–118.

Faresta, Rangga Alif. “AI-powered Education: Exploring The Potential of Personalised Learning for Students’ Needs in Indonesia Education”. Path of Science, vol. 10, no. 5, 2024, pp. 3012–3022.

Goel, Ashok. “AI-powered Learning: Making Education Accessible, Affordable, and Achievable”. arXiv Preprint arXiv:2006. 01908, 2020.

Henry, James, and Zayn Duke. AI-powered Learning Environments: Educational Research and Pedagogical Developments. 2024.

Piatnitckaia, L., et al. “Developing An AI-Powered Assistant for Enhanced Learning: A Multi-Phase Research Project at A Private Higher Education Institution”. EDULEARN24 Proceedings, IATED, 2024, pp. 6753–6757.

Praveen, J. V. S. “Understanding The Potential Impact of AI-powered Classroom Management on Student Engagment and Overall Learning Outcomes”. Global Journal of Business and Integral Security, vol. 1, no. 2, 2024.

Rızvı, Mohammed. “Investigating AI-powered Tutoring Systems that Adapt to Individual Student Needs, Providing Personalized Guidance and Assessments”. The Eurasia Proceedings of Educational and Social Sciences, vol. 31, ISRES Publishing, 2023, pp. 67–73.

Srinivasa, K. G., et al. “Harnessing the Power of AI to Education”. Learning, Teaching, and Assessment Methods for Contemporary Learners: Pedagogy for The Digital Generation, Springer, 2022, pp. 311–342.

Yakhina, R., et al. “AI-powered Tools for Enhancing Engagement and Academic Performance of Engineering Students”. INTED2024 Proceedings, IATED, 2024, pp. 2990–2996.


Refbacks

  • There are currently no refbacks.


Bookmark and Share


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.