International Journal of Academic Publishing in Educational Sciences and Humanities (IJAPESH)

AI-Powered Learning Analytics Improving Personalized Education in E-Learning Environments

Aisha Mohammed Ahmed — Sat, 18 Jan 2025 00:00:00 +0000

The integration of Artificial Intelligence (AI) in education, especially in e-learning environments, has revolutionized personal learning. Artificial intelligence-driven learning analyses allow real-time analysis of students' data, enabling teachers to customize educational materials to meet the individual needs of the learner. This paper explores the role of artificial intelligence in promoting personalized learning, focusing on adaptive learning systems, intelligent teaching systems (ITS) and data-driven educational strategies. By providing personalized learning pathways, artificial intelligence technologies not only improve student engagement and learning outcomes, but also improve resource allocation. However, there are challenges in the adoption of artificial intelligence in education, such as data privacy concerns, algorithm bias, and resistance from both teachers and students. This paper also considers ethical considerations around the use of artificial intelligence in educational environments and discusses the prospects for future developments in artificial intelligence. Finally, artificial intelligence-driven learning analytics hold great promise to transform education by making it more personal, scalable, and effective.

E-Learning Strategies for Enhancing Workforce Training and Development in the Digital Age

Dr. Abdussalam Ali Ahmed — Sat, 18 Jan 2025 00:00:00 +0000

In the digital age, e-learning has become a key strategy to enhance manpower training and development. This paper explores various e-learning strategies that organizations can implement to improve employees' learning experiences, skill development, and overall productivity. With the rapid pace of technological advancement and the emergence of digital platforms, traditional training methods are being replaced with more flexible, scalable and cost-effective e-learning solutions. This paper examines the integration of e-learning technologies such as learning management systems (LMS), mobile learning, gamification and artificial intelligence and virtual reality. It also discusses the challenges facing organizations, including issues of participation, access to technology, and the digital divide. Based on case studies and real-world applications, this research highlights the advantages and limitations of e-learning strategies in different industries. In addition, the paper provides data about the impact of e-learning on employee performance and satisfaction, and provides insight into its effectiveness in meeting the training needs of the modern workforce. The study concludes with recommendations for organizations that want to implement or enhance e-learning initiatives as part of their workforce development strategy.

The Evolution of Human Resource Management: How Artificial Intelligence Shapes Recruitment and Employee Development

Reham Ershaid Nusair — Sun, 02 Feb 2025 00:00:00 +0000

This research paper explores the evolution of human resource management and examines how artificial intelligence is reshaping these basic functions. Artificial intelligence-powered tools are revolutionizing the recruitment process by improving CV screening, improving candidate matching, and reducing biases, leading to more data-based and efficient recruitment decisions. In employee development, artificial intelligence enables personal learning experiences, ongoing performance management, and targeted retention strategies, thus aligning employee development with organizational goals. However, the adoption of artificial intelligence in human resource management also poses challenges, such as concerns about data privacy, algorithmic transparency, and the need for human monitoring. By reviewing case studies and existing literature, this paper highlights the potential and limitations of artificial intelligence in HR, and offers insight into how HR professionals are dealing with these changes. The research concludes with a discussion of the future of artificial intelligence in human resource management, emphasizing the importance of balancing automation and human governance to promote a fair and inclusive work environment.

The Impact of Artificial Intelligence on Recruitment and Employee Engagement in Human Resources

Reham Ershaid Nusair — Sat, 08 Feb 2025 00:00:00 +0000

The advent of artificial intelligence (AI) has led to a significant shift in human resource (HR) practices, especially in recruitment and employee engagement. This paper explores the impact of artificial intelligence on these two key HR functions, focusing on the improvement of artificial intelligence in terms of performance, effectiveness, and personalization. AI tools, such as re-screening algorithms, candidate matching systems, and sentiment analysis platforms, are revolutionizing the recruitment process by reducing biases, streamlining recruitment, and improving the quality of selected candidates. In parallel, artificial intelligence is reshaping employee engagement through personal feedback mechanisms, predictive analytics, and sentiment analysis, ultimately improving job satisfaction, retention, and employee well-being. However, integrating artificial intelligence into human resources also poses significant challenges, including algorithm bias, privacy, and concerns about job transfers. This paper provides a comprehensive analysis of the benefits, risks, and ethical considerations of the implementation of artificial intelligence in recruitment and employee engagement and concludes with recommendations for future research and practice. Addressing these aspects, the paper aims to provide a roadmap for HR professionals to benefit from artificial intelligence while ensuring ethical and responsible implementation.

Transforming HR Practices: Using AI to Revolutionize Employee Performance Management

Abdulgader Alsharif — Wed, 19 Feb 2025 00:00:00 +0000

Employee performance management has always relied on traditional methods such as annual reviews and self-assessments. However, these methods often lead to flaws, biases, and limited insights. This paper investigates how artificial intelligence is reshaping performance management by offering more efficient, objective and data-driven approaches. Through machine learning, natural language processing, and the use of real-time feedback systems, organizations are now able to continuously assess employee performance, provide personal feedback, and make informed decisions based on real-time data. The paper looks at how artificial intelligence can improve the accuracy of performance assessments, enhance employee growth through customized development plans, and promote greater engagement with quick feedback mechanisms. While these developments have great potential, challenges such as data privacy, algorithm biases, and employee trust must be addressed carefully. Based on case studies and current research, this paper highlights the benefits, challenges, and future prospects of artificial intelligence in employee performance management, and provides practical insights for organizations that want to modernize their HR practices.