Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them. Project number: 2023-1-NL01-KA220-HED-000155675. Lessons learned Digital Tools are Widespread: Teachers are embracing various digital assessment methods like 3D environments, Open Educational Resources, and discussion forums. Generative AI Offers Potential: AI models like ChatGPT can automate grading, personalise feedback, and adapt assessments based on student responses. Implications for practice Overall, the study emphasises the need for a comprehensive approach to digital assessment that combines technological advancement with effective teacher training and a focus on fostering academic integrity. Recommendations for improvement were: 1. Teacher Training: Provide training on digital assessment methods and ethical considerations 2. Assessment Redesign: Move beyond traditional tests and embrace multimodal formats that promote critical thinking 3. Technology Investment: Invest in infrastructure for computer-assisted assessments 4. Academic Integrity Contracts: Encourage ethical behaviour through signed contracts 5. Personalised Training: Tailor training to individual teacher needs using online resources and self-assessment platforms. Case Study 12: THE IMPACT OF ARTIFICIAL INTELLIGENCE (AI) ON EDUCATION BALANCING ADVANCEMENTS AND ETHICAL CONSIDERATIONS ON HUMAN RIGHTS General information Stosic, L., & Jankovic, A. (2023). The Impact of Artificial Intelligence (AI) on Education - Balancing Advancements and Ethical Considerations on Human Rights. Law - Theory and Practice, 40(4), 58-72. https://casopis.pravnifakultet.edu.rs/index.php/ltp/article/view/763/667 This study explores the increasing influence of AI in the educational sector. It delves into both the advantages and ethical concerns associated with AI technologies, particularly focusing on models like Generative Pre-trained Transformer (GPT). The research examines the implementation of AI in education, highlighting its potential to enhance learning experiences and improve the acquisition of knowledge. It also discusses the challenges posed by AI, such as issues related to transparency, ethics, and the protection of human rights.
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