Akademik Veri Yönetim Sistemi
4th International Conference on Educational Technology and Online Learning – ICETOL 2024, Eskişehir, Türkiye, 14 - 17 Mayıs 2024, ss.99
As artificial intelligence (AI) becomes increasingly integrated into educational environments, it is essential to ensure that its applications adhere to ethical guidelines and maintain integrity in assessments. This study offers a comprehensive examination of how AI can revolutionize conventional assessment techniques, while maintaining fairness, transparency, and educational integrity. By thoroughly exploring responsible AI implementation, I develop fundamental principles and guidelines for incorporating AI into educational assessments that uphold and advance pedagogical objectives and ensure fairness for all learners.
My investigation explores the intricacies of ethical AI, comparing responsible usage that supports educational standards with practices that could potentially undermine student equity. Emphasizing the importance of transparency, I support AI systems that clarify decision-making processes, ensuring they are understandable for both educators and learners. I advocate for the development of inclusive AI tools that can be accessed by everyone, regardless of their background. These tools should aim to support learners from diverse backgrounds and not contribute to existing inequalities.
At the heart of the discussion is the integration of AI with educational goals, highlighting AI as a tool to enhance, rather than substitute, human teaching and mentorship. I present a comprehensive framework for the ethical use of AI in educational assessments, outlining strategies to promote academic integrity and innovative methods to address academic dishonesty. This framework promotes a methodical approach to assessment, incorporating AI in a way that upholds the principles of the discipline and prioritizes the learning process rather than just the end results.
Illustrative application scenarios across K-12 and higher education contexts offer practical insights into implementing ethical AI in education. By utilizing various educational techniques and technologies, I showcase the ethical use of AI to improve educational practices. In addition, the significance of transparency, critical thinking, and collaborative learning in the digital age is highlighted by process tracking and peer review with GAI integration scenarios.
In conclusion, I emphasize the importance of a shared dedication to ethical guidelines in AI-assisted assessments, highlighting the necessity for ongoing adaptation and learning among educators and students. This study highlights the promising potential of AI to enhance educational outcomes in an ethical manner. It also sets the stage for future investigations into how AI can impact learning in the long run and how ethical standards can evolve alongside technological advancements.