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Artificial Intelligence (AI) in Education, Training and Distance Learning, Business and Industry Trends Analysis

According to an in-depth analysis from the U.S. Department of Education (“Artificial Intelligence and the Future of Teaching and Learning”), AI can be described as enabling two broad shifts from today’s use of technology in schools: (1) from capturing data to detecting patterns in data and (2) from providing access to instructional resources to automating decisions about teaching and learning processes.  This agency particularly views AI as a way to enhance the efficiency and effectiveness of the educational process, while giving educators and administrators more effective ways to gather, analyze and act on data for best outcomes (but not as a way to largely replace the need for teachers).  
However, elsewhere, some analysts see AI as a way to replace or at least streamline the need for much of today’s teacher-student interaction.  For example, AI-driven tutors, based on generative AI, can answer students’ questions and do so in a manner that takes into consideration the student’s capabilities, learning speed, comprehension and current state of knowledge.  Corporate training departments will be particularly keen on using AI-driven tools to boost employee skills, knowledge, safety and job satisfaction.
The Department of Education’s findings include:
=         AI enables new forms of interaction. Students and teachers can speak, gesture, sketch, and use other natural human modes of communication to interact with computers and each other. AI can generate human-like responses, as well. These new forms of action may provide support to students with disabilities.
=         AI can help educators address variability in student learning. With AI, designers can anticipate and address the long tail of variations in how students can successfully learn—whereas traditional curricular resources were designed to teach to the middle or most common learning pathways. 
=         AI supports powerful forms of adaptivity. Conventional technologies adapt based upon the correctness of student answers. AI enables adapting to a student’s learning process as it unfolds step-by-step, not simply providing feedback on right or wrong answers. Specific adaptations may enable students to continue strong progress in a curriculum by working with their strengths and working around obstacles. 
=         AI can increase the quality and quantity of feedback provided to students and teachers, as well as suggesting resources to advance their teaching and learning.
=         AI can support educators. Educators can be involved in designing AI-enabled tools to make their jobs better and to enable them to better engage and support their students.
=         AI increases existing risks and introduces news risks yet to be considered. AI increases risks already present in educational technology, especially data privacy and security. AI adds new risks of algorithmic discrimination due to unwanted patterns in existing data and unfair automated decision making. For educational systems to benefit from the opportunities, the risks must be minimized and mitigated.
 


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