Instructor Tech Skills in AI Online Learning Linked to Student Performance
A study explored the connection between instructors' technology integration competence and student academic performance within AI-supported online learning environments. Using Structural Equation Modeling (SEM), the research examined both parallel and serial mediation pathways. The findings indicate that instructors' ability to effectively integrate technology plays a significant role in student outcomes. This competence appears to influence performance through various mechanisms, suggesting that a multifaceted approach to instructor training and support is crucial. The study highlights the importance of equipping educators with the necessary skills to leverage AI and other technologies for enhanced online education. Ultimately, the research provides insights into how technology integration can be optimized to foster better academic results in digital learning settings.
This research quantifies the impact of instructor technological proficiency on student success in AI-enhanced online education. The analysis suggests that the effectiveness of such systems is not solely dependent on the AI's capabilities but critically relies on the human element – the instructor's ability to integrate these tools. Future educational technology development should consider robust training programs for educators, focusing on pedagogical strategies for technology integration rather than just technical operation. Understanding these mediation pathways can inform institutional policies and resource allocation to maximize the return on investment in educational AI, ensuring technology serves as an enabler of learning outcomes.
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