User Experience and Human Factors in GPT-4-Based E-Learning Systems
Main Article Content
Abstract
Introduction: As technology continues to revolutionize education, the integration of artificial intelligence (AI) into e-learning platforms has garnered significant attention. GPT-4, the latest iteration of AI language models, holds promise for enhancing user experience (UX) in e-learning systems. However, understanding the impact of GPT-4 on human factors and user experience within these platforms remains a crucial area of investigation. Problem Statement: Despite the potential benefits of GPT-4 in e-learning environments, there is a lack of comprehensive research on how its implementation influences user experience and human factors. Issues such as user engagement, cognitive load, and adaptability need to be addressed to optimize the effectiveness of GPT-4-based e-learning systems. Objective: This research aims to investigate the relationship between user experience, human factors, and the implementation of GPT-4 in e-learning systems. Specifically, the study seeks to identify factors that contribute to user satisfaction, engagement, and learning outcomes within these platforms. Methodology: The study employs a multi-faceted methodology, combining literature review, system design, and empirical evaluation with GPT-4-based e-learning systems. Additionally, objective metrics such as completion rates and performance assessments will be analyzed to assess learning outcomes. Results: Preliminary findings suggest that the integration of GPT-4 has a significant impact on user experience in e-learning systems. Factors such as personalized content generation, natural language interaction, and adaptive feedback mechanisms contribute to improved engagement and learning outcomes. However, challenges related to trust, transparency, and bias mitigation also emerge as important considerations in the design and implementation of GPT-4-based e-learning platforms. Conclusion: This research underscores the importance of considering user experience and human factors in the development of GPT-4-based e-learning systems. By understanding the dynamics between AI technology and human interaction, developers and educators can create more effective and user-centric platforms that enhance learning experiences for diverse user groups.