Exploring Teacher and Student-Teacher Perceptions and Practices of AI-Powered Assessment: A Study on Awareness, Usage, and Ethical Readiness

  • Unique Paper ID: 181985
  • Volume: 12
  • Issue: 2
  • PageNo: 271-278
  • Abstract:
  • This study explores the perceptions and practices of AI-powered assessment among pre-service and in-service teachers, focusing on five key domains: awareness, usage, application, ethical understanding, and future readiness. A sample of 104 participants (45 males, 59 females) comprising both undergraduate and postgraduate trainees was surveyed using a structured questionnaire. Results indicate that male participants exhibit higher awareness of AI, while female participants outperform in usage and application, suggesting a stronger implementation orientation. Pre-service teachers scored significantly higher across all domains compared to in-service counterparts, highlighting the impact of recent teacher education curricula that emphasize digital fluency. Similarly, teachers with less than one year of experience demonstrated greater awareness and adoption of AI tools, pointing to generational or training-based advantages. Many respondents showed a sound understanding of ethical AI usage, particularly regarding fairness, privacy, and bias. However, both groups exhibited limited understanding of the future scope of AI in assessments, indicating a need for deeper professional development in this area. Statistical analyses, including t-tests and composite perception index scoring, confirmed significant differences by gender, occupation, and experience level. These findings underline the urgency to integrate AI literacy, ethics, and application modules into teacher training and suggest ongoing support for in-service educators to keep pace with evolving AI assessment technologies

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