Artificial Intelligence–Enabled Teacher Dashboards and Their Impact on Academic Achievement in Teacher Education

Abstract

Artificial Intelligence (AI) is increasingly transforming higher education by enabling data-driven instruction, personalized learning, and real-time academic monitoring. Among AI-based innovations, teacher dashboards have emerged as powerful tools that support instructional decision-making through learning analytics. This study investigates the effectiveness of AI-driven teacher dashboards in enhancing the academic performance of B.Ed. (Hons) students at Pir Mehr Ali Shah Arid Agriculture University, Rawalpindi. Using a quantitative research design, data were collected from 25 undergraduate students through a structured questionnaire assessing awareness, usage, and perceived academic impact of teacher dashboards. Descriptive statistical analysis was conducted using SPSS. The findings reveal that AI-based teacher dashboards significantly support students in monitoring academic progress, managing learning resources, improving self-regulation, and enhancing motivation. Improved teacher–student communication and timely feedback were also reported as key contributors to better learning outcomes. However, limited awareness regarding data privacy, ethical considerations, and institutional policies related to AI use was identified as a major concern. The study concludes that AI-enabled teacher dashboards positively influence teaching and learning processes and hold strong potential for integration into teacher education programs. Embedding AI literacy, ethical guidelines, and professional training within teacher education curricula is essential to ensure sustainable and responsible adoption. These findings provide valuable insights for educators, policymakers, and higher education institutions aiming to promote innovation and improve instructional quality through AI-driven educational technologies.