Executive Development Programme in AI for Educational Ethics
-- ViewingNowThe Executive Development Programme in AI for Educational Ethics certificate course is a professional development opportunity designed to equip educators and leaders with essential skills in artificial intelligence (AI) and ethical decision-making. This programme is critical in today's rapidly changing education landscape, where AI technologies are increasingly being used to support teaching and learning.
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โข Introduction to AI in Education: Understanding the basics of artificial intelligence, machine learning, and deep learning, and their applications in the education sector. Exploring the benefits and challenges of AI in education.
โข Ethical Considerations in AI: Examining the ethical implications of AI in education, such as data privacy, bias, transparency, accountability, and fairness. Developing ethical guidelines for AI in education.
โข Bias and Discrimination in AI Systems: Analyzing the sources and consequences of bias and discrimination in AI systems, and developing strategies to mitigate them. Understanding the role of diversity and inclusion in AI development.
โข AI and Teacher Professional Development: Exploring the potential of AI to support teacher professional development, such as personalized feedback, collaborative learning, and reflective practice. Examining the challenges and opportunities of AI-enabled teacher training.
โข AI and Student Assessment: Investigating the use of AI for student assessment, such as automated scoring, adaptive testing, and learning analytics. Evaluating the reliability, validity, and fairness of AI-based assessment.
โข AI and Curriculum Design: Examining the potential of AI to support curriculum design, such as personalized learning, competency-based education, and open educational resources. Considering the ethical and pedagogical implications of AI-powered curriculum design.
โข AI and Accessibility: Exploring the role of AI in promoting accessibility and inclusion in education, such as assistive technology, speech recognition, and closed captioning. Analyzing the potential barriers and limitations of AI-based accessibility solutions.
โข AI and Social Emotional Learning: Investigating the potential of AI to support social emotional learning, such as affective computing, empathetic agents, and social skills training. Examining the ethical and developmental considerations of AI-based SEL interventions.
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