Open Access   Article Go Back

The Impact of AI-Driven Personalization on Learners` Performance

Amit Das1 , Sanjeev Malaviya2 , Manpreet Singh3

  1. IBS, The ICFAI University Dehradun, Uttarakhand, India.
  2. IBS, The ICFAI University Dehradun, Uttarakhand, India.
  3. AVP One AI Genpact LLC, USA.

Section:Research Paper, Product Type: Journal Paper
Volume-11 , Issue-8 , Page no. 15-22, Aug-2023

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v11i8.1522

Online published on Aug 31, 2023

Copyright © Amit Das, Sanjeev Malaviya, Manpreet Singh . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

XML View
PDF Download

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Amit Das, Sanjeev Malaviya, Manpreet Singh, “The Impact of AI-Driven Personalization on Learners` Performance,” International Journal of Computer Sciences and Engineering, Vol.11, Issue.8, pp.15-22, 2023.

MLA Style Citation: Amit Das, Sanjeev Malaviya, Manpreet Singh "The Impact of AI-Driven Personalization on Learners` Performance." International Journal of Computer Sciences and Engineering 11.8 (2023): 15-22.

APA Style Citation: Amit Das, Sanjeev Malaviya, Manpreet Singh, (2023). The Impact of AI-Driven Personalization on Learners` Performance. International Journal of Computer Sciences and Engineering, 11(8), 15-22.

BibTex Style Citation:
@article{Das_2023,
author = {Amit Das, Sanjeev Malaviya, Manpreet Singh},
title = {The Impact of AI-Driven Personalization on Learners` Performance},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {8 2023},
volume = {11},
Issue = {8},
month = {8},
year = {2023},
issn = {2347-2693},
pages = {15-22},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5603},
doi = {https://doi.org/10.26438/ijcse/v11i8.1522}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v11i8.1522}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5603
TI - The Impact of AI-Driven Personalization on Learners` Performance
T2 - International Journal of Computer Sciences and Engineering
AU - Amit Das, Sanjeev Malaviya, Manpreet Singh
PY - 2023
DA - 2023/08/31
PB - IJCSE, Indore, INDIA
SP - 15-22
IS - 8
VL - 11
SN - 2347-2693
ER -

VIEWS PDF XML
11427 219 downloads 91 downloads
  
  
           

Abstract

This study explores the impact of AI-driven personalization on learners` performance. Through quantitative and qualitative analysis, the research demonstrates a positive correlation between personalized AI-based adaptive learning and improved academic achievement, engagement, and satisfaction. The findings highlight the potential of AI-driven personalization to enhance learners` performance and transform education practices.

Key-Words / Index Term

Learners` performance, Education technology, Artificial intelligence, learning outcomes, Learning Analytics, Engagements, Personalized Learning

References

[1]. Kicken, Wendy, Saskia Brand?Gruwel, and Jeroen JG van Merriënboer. "Scaffolding advice on task selection: a safe path toward self?directed learning in on?demand education." Journal of Vocational Education and Training, Vol.60, Issue.3, pp.223-239, 2008.
[2]. Chine, Danielle R., Cassandra Brentley, Carmen Thomas-Browne, J. Elizabeth Richey, Abdulmenaf Gul, Paulo F. Carvalho, Lee Branstetter, and Kenneth R. Koedinger. "Educational equity through combined human-AI personalization: A propensity matching evaluation." In International Conference on Artificial Intelligence in Education, Springer International Publishing, pp.366-377, 2022.
[3]. Maghsudi, Setareh, Andrew Lan, Jie Xu, and Mihaela van Der Schaar. "Personalized education in the artificial intelligence era: what to expect next." IEEE Signal Processing Magazine, Vol.38, Issue.3, pp.37-50, 2021.
[4]. Klašnja-Mili?evi?, Aleksandra, and Mirjana Ivanovi?. "E-learning personalization systems and sustainable education." Sustainability Vol.13, Issue.12, pp.6713, 2021.
[5]. Conati, Cristina, Oswald Barral, Vanessa Putnam, and Lea Rieger. "Toward personalized XAI: A case study in intelligent tutoring systems." Artificial intelligence 298: 103503, 2021.
[6]. Chen, Xieling, Di Zou, Haoran Xie, Gary Cheng, and Caixia Liu. "Two decades of artificial intelligence in education." Educational Technology & Society, Vol.25, Issue.1, pp.28-47, 2022.
[7]. McCarthy, Kathryn S., Micah Watanabe, Jianmin Dai, and Danielle S. McNamara. "Personalized learning in iSTART: Past modifications and future design." Journal of Research on Technology in Education, Vol.52, Issue.3, pp.301-321, 2020.
[8]. Hwang, Gwo-Jen, Haoran Xie, Benjamin W. Wah, and Dragan Gaševi?. "Vision, challenges, roles and research issues of Artificial Intelligence in Education." Computers and Education: Artificial Intelligence 1, 100001, 2020.
[9]. Koenka, Alison C., and Eric M. Anderman. "Personalized feedback as a strategy for improving motivation and performance among middle school students." Middle School Journal, Vol.50, Issue.5, pp.15-22, 2019.
[10]. Escotet, Miguel Ángel. "The optimistic future of Artificial Intelligence in higher education." PROSPECTS: pp.1-10, 2023.
[11]. Shin, Donghee. "The effects of explainability and causability on perception, trust, and acceptance: Implications for explainable AI." International Journal of Human-Computer Studies 146: 102551, 2021.
[12]. Kim, Jinhee, Hyunkyung Lee, and Young Hoan Cho. "Learning design to support student-AI collaboration: Perspectives of leading teachers for AI in education." Education and Information Technologies, Vol.27, Issue.5, pp.6069-6104, 2022.
[13]. Tang, Kai-Yu, Ching-Yi Chang, and Gwo-Jen Hwang. "Trends in artificial intelligence-supported e-learning: A systematic review and co-citation network analysis (1998–2019)." Interactive Learning Environments, Vol.31, Issue.4, pp.2134-2152, 2023.
[14]. Williamson, Ben, and Rebecca Eynon. "Historical threads, missing links, and future directions in AI in education." Learning, Media and Technology, Vol.45, Issue.3, pp.223-235, 2020.
[15]. Williamson, Ben, Sian Bayne, and Suellen Shay. "The datafication of teaching in Higher Education: critical issues and perspectives." Teaching in Higher Education Vol.25, Issue.4, pp.351-365, 2020.
[16]. Zhang, Jia-Hua, Liu-cong Zou, Jia-jia Miao, Ye-Xing Zhang, Gwo-Jen Hwang, and Yue Zhu. "An individualized intervention approach to improving university students’ learning performance and interactive behaviors in a blended learning environment." Interactive Learning Environments, Vol.28, Issue.2, pp.231-245, 2020.
[17]. Majeed, A., A. Asim, and P. Bocij. "Reframing The Impact Of Innovative Learning Technologies On University Students And Lecturers To Save Time And Improve Learning Challenges & Opportunities." EDULEARN23 Proceedings: pp.7546-7553, 2023.
[18]. Seo, Kyoungwon, Joice Tang, Ido Roll, Sidney Fels, and Dongwook Yoon. "The impact of artificial intelligence on learner–instructor interaction in online learning." International journal of educational technology in higher education, Vol.18, Issue.1, pp.1-23, 2021.
[19]. Selwyn, Neil, and Dragan Gaševi?. "The datafication of higher education: Discussing the promises and problems." Teaching in Higher Education, Vol.25, Issue.4, pp.527-540, 2020.
[20]. Kwet, Michael, and Paul Prinsloo. "The ‘smart’classroom: a new frontier in the age of the smart university." Teaching in Higher Education Vol.25, Issue.4: pp.510-526, 2020.
[21]. Kokoç, Mehmet, and Arif Altun. "Effects of learner interaction with learning dashboards on academic performance in an e-learning environment." Behaviour & Information Technology, Vol.40, Issue.2, pp.161-175, 2021.
[22]. Xia, Qi, Thomas KF Chiu, Xinyan Zhou, Ching Sing Chai, and Miaoting Cheng. "Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education." Computers and Education: Artificial Intelligence: pp.100-118, 2022.
[23]. Holmes, Wayne, Maya Bialik, and Charles Fadel. "Artificial intelligence in education." pp.621-653, 2023.
[24]. Li, Kam Cheong, and Billy Tak-Ming Wong. "Features and trends of personalised learning: A review of journal publications from 2001 to 2018." Interactive Learning Environments Vol.29, Issue.2, pp.182-195, 2021.
[25]. Ciolacu, Monica, Ali Fallah Tehrani, Leon Binder, and Paul Mugur Svasta. "Education 4.0-Artificial Intelligence assisted higher education: early recognition system with machine learning to support students` success." In 2018 IEEE 24th International Symposium for Design and Technology in Electronic Packaging (SIITME), pp.23-30, 2018. IEEE.
[26]. Raschka, Sebastian, and Vahid Mirjalili. Python machine learning: Machine learning and deep learning with Python, scikit-learn, and TensorFlow 2. Packt Publishing Ltd, 2019.
[27]. Pedregosa, Fabian, Gaël Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel et al. "Scikit-learn: Machine learning in Python." the Journal of machine Learning research 12, pp.2825-2830, 2011.
[28]. Shemshack, Atikah, and Jonathan Michael Spector. "A systematic literature review of personalized learning terms." Smart Learning Environments, Vol.7, Issue.1, pp.1-20, 2020.
[29]. Chen, Zhongshan, Juxiao Zhang, Xiaoyan Jiang, Zuojin Hu, Xue Han, Mengyang Xu, V. Savitha, and G. N. Vivekananda. "Education 4.0 using artificial intelligence for students performance analysis." Inteligencia Artificial, Vol.23, Issue.66, pp.124-137, 2020.
[30]. Zhu, Qiongli, and Minjuan Wang. "Team-based mobile learning supported by an intelligent system: Case study of STEM students." Interactive Learning Environments, Vol.28, Issue.5, pp.543-559, 2020.