The Effect of Emotional Intelligence on Higher Education: A Pilot Study on the interplay Between Artificial Intelligence, Emotional Intelligence, and E-Learning

被引:0
作者
Alenezi, Abdullah [1 ]
机构
[1] Northern Border Univ, Educ Technol Dept, 7276 Almatar Dis, Ar Ar 509773312, Saudi Arabia
关键词
E-learning; Artificial Intelligence; Emotional Intelligence; Ethical implications; Engagement and Personalization;
D O I
10.4995/muse.2024.21367
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Integrating Artificial Intelligence (AI) and E-learning platforms has become increasingly prevalent in the rapidly evolving landscape of higher Education. However, amidst this technological advancement, the role of Emotional Intelligence (EI) and its impact on the efficacy of AI-driven educational tools still needs to be explored. This pilot study seeks to elucidate the intricate relationship between Emotional Intelligence, Artificial Intelligence, and E-Learning in Higher Education. Drawing upon a multidisciplinary approach, this study investigates the correlation between students' Emotional Intelligence competencies and their engagement with AI-driven ELearning platforms. The findings of this pilot study are expected to shed light on several critical aspects. Firstly, it aims to uncover how Emotional Intelligence influences students' receptivity to AI-infused E-Learning environments, potentially elucidating strategies for optimizing user experience and learning outcomes. Moreover, by exploring the reciprocal influence between Emotional Intelligence and AI algorithms, this research endeavors to contribute to the refinement of AI technologies, fostering greater personalization and adaptability in educational settings. Furthermore, this study endeavors to address the ethical implications inherent in the intersection of Emotional Intelligence, Artificial Intelligence, and E-Learning. By elucidating the potential risks and benefits associated with integrating these technologies, it seeks to inform policymakers, educators, and AI developers alike, facilitating the responsible deployment of AI-driven educational tools. Therefore, its innovative methodology and comprehensive approach aspire to pave the way for future research endeavors, ultimately enriching the educational landscape with insights prioritizing technological advancement and human well-being.
引用
收藏
页码:51 / 77
页数:27
相关论文
共 33 条
[1]  
Aithal P.S., 2023, International Journal of Case Studies in Business, IT, and Education, V7, P183, DOI [DOI 10.47992/IJCSBE.2581.6942.0267, 10.2139/ssrn.4609337, DOI 10.2139/SSRN.4609337]
[2]  
Al-Zyoud H. M. M., 2020, Universal J. Educ. Res., V8, P6263
[3]   Understanding the Factors Influencing Higher Education Students' Intention to Adopt Artificial Intelligence-Based Robots [J].
Algerafi, Mohammed A. M. ;
Zhou, Yueliang ;
Alfadda, Hind ;
Wijaya, Tommy Tanu .
IEEE ACCESS, 2023, 11 :99752-99764
[4]   Prospers and Obstacles in Using Artificial Intelligence in Saudi Arabia Higher Education Institutions-The Potential of AI-Based Learning Outcomes [J].
Alotaibi, Nayef Shaie ;
Alshehri, Awad Hajran .
SUSTAINABILITY, 2023, 15 (13)
[5]   The effect of gamification on motivation and engagement [J].
Alsawaier, Raed S. .
INTERNATIONAL JOURNAL OF INFORMATION AND LEARNING TECHNOLOGY, 2018, 35 (01) :56-79
[6]  
[Anonymous], 2019, Artificial intelligence in education: challenges and opportunities for sustainable development
[7]  
Bhutoria A., 2022, Computers and Education: Artificial Intelligence, V3, P100068, DOI [10.1016/j.caeai.2022.100068, DOI 10.1016/J.CAEAI.2022.100068]
[8]  
Borras-Gene O., 2019, INFORMATICS-BASEL, V6, DOI DOI 10.3390/informatics6030028
[9]   Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response System [J].
Cho, Kyung-Jae ;
Kwon, Oyeon ;
Kwon, Joon-myoung ;
Lee, Yeha ;
Park, Hyunho ;
Jeon, Ki-Hyun ;
Kim, Kyung-Hee ;
Park, Jinsik ;
Oh, Byung-Hee .
CRITICAL CARE MEDICINE, 2020, 48 (04) :E285-E289
[10]   Knowledge Based Artificial Augmentation Intelligence Technology: Next Step in Academic Instructional Tools for Distance Learning [J].
Crowe D. ;
LaPierre M. ;
Kebritchi M. .
TechTrends, 2017, 61 (5) :494-506