دور الذكاء الإصطناعي في تسويق التعليم الإلكتروني: تحقيق التوازن بين الكفاءة التقنية والقيم الإنسانية

With the spread of the COVID-19 pandemic, e-learning has become the primary system for learners, as the number of users on educational platforms surged from 20 million in 2019 to over 220 million in 2023. This study investigates the impact of artificial intelligence (AI) on e-learning marketing, focusing on educational equity, emotional interaction, and community engagement. Using a mixed-methods approach, data from 84 users on the "Coursera" and "Udemy" platforms were analyzed, alongside interviews with 6 learners. The key findings revealed that excessive personalization reduces educational satisfaction by 68% (β = -0.45, p < 0.01), while sentiment analysis contributed to a 45% increase in conversion rates. Transparency in AI systems enhanced trust by 67% (β = 0.67, p < 0.001), and 80% of participants emphasized the importance of human interaction. The study proposes the "Techno-Human Balance Model" to integrate AI efficiency with human-centered values.

Authors

Publication Details

Journal
Stardom ikisadi ve idari bilimler dergisi.
Published
2025-02-28
DOI
https://doi.org/10.70170/asbhlp098324
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

دور الذكاء الإصطناعي في تسويق التعليم الإلكتروني: تحقيق التوازن بين الكفاءة التقنية والقيم الإنسانية

Abdul Rahman Rassam
Stardom ikisadi ve idari bilimler dergisi.
AI in Service Interactions
article

دور الذكاء الإصطناعي في تسويق التعليم الإلكتروني: تحقيق التوازن بين الكفاءة التقنية والقيم الإنسانية

Abdul Rahman Rassam
article en

Abstract

With the spread of the COVID-19 pandemic, e-learning has become the primary system for learners, as the number of users on educational platforms surged from 20 million in 2019 to over 220 million in 2023. This study investigates the impact of artificial intelligence (AI) on e-learning marketing, focusing on educational equity, emotional interaction, and community engagement. Using a mixed-methods approach, data from 84 users on the "Coursera" and "Udemy" platforms were analyzed, alongside interviews with 6 learners. The key findings revealed that excessive personalization reduces educational satisfaction by 68% (β = -0.45, p < 0.01), while sentiment analysis contributed to a 45% increase in conversion rates. Transparency in AI systems enhanced trust by 67% (β = 0.67, p < 0.001), and 80% of participants emphasized the importance of human interaction. The study proposes the "Techno-Human Balance Model" to integrate AI efficiency with human-centered values.

Stardom ikisadi ve idari bilimler dergisi.Vol. 3(4)
Openalex Percentile: Top 98%
AI in Service Interactions
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