Further, students can be in the loop with AI, as is the case with “open learner models”—a type of · AI-enabled system that provides information to support student self-monitoring and ... 26 Dieterle, E., Dede, C. & Walker, M. (2022). The cyclical ethical effects of using artificial intelligence in education.

May 9, 2024 - The extant AIED research spans a wide spectrum of applications, encompassing those for adaptive learning and personalized tutoring, intelligent assessment and management, profiling and prediction, and emerging products. Research topics delve into both the technical design of education systems and the examination of the adoption, impacts, and challenges associated with AIED.

October 20, 2025 - Overall, it is hoped that AI will ultimately help educators make continued progress in addressing the broad range of physical, cognitive, academic, social and emotional factors that can affect student learning and ensure that all students have equal opportunity in education, regardless of their social class, race, gender, sexuality, ethnic background or physical and mental disabilities. There is also considerable optimism around the idea that, as artificial intelligence becomes a more integral part of the classroom, teachers will be better equipped to offer an individualized learning experience for every student.

This resource is useful for those looking for examples of effective technology-based ... Chine, D. R., Brentley, C., Thomas-Browne, C., Richey, J. E., Gul, A., Carvalho, P., Branstetter, L., & Koedinger, K. (2022). Educational equity through combined human-AI personalization: A · propensity matching evaluation. In M. M. Rodrigo, N. Matsuda, A. Cristea, & V. Dimitrova (Eds.), Artificial Intelligence in Education (pp.

October 15, 2025 - Within the framework of the Beijing Consensus, UNESCO developed Artificial intelligence and education: Guidance for policy-makers to foster the readiness of education policy-makers in artificial intelligence. It aims to generate a shared understanding of the opportunities and challenges that AI offers for education, as well as its implications for the core competencies needed in the AI era.

AI Guidance for West Virginia Schools (West Virginia) – This guidance provides support for the use of AI across various roles in West Virginia PK–12 schools, catering to the needs of superintendents, district staff, educators and support staff. The guidance focuses on effectively and safely integrating AI into classroom instruction, school administration and district operations. AI Toolkit (Ohio) – This toolkit for Ohio schools includes resources to advance AI literacy and create AI policy, recommendations for teachers to turn policy into practical application, resources for parents, and links to guidelines. Artificial Intelligence Guidance Brief (Kentucky) – This resource is a model of guiding principles for Kentucky students and staff in the appropriate and responsible use of AI (specifically generative AI).

Learn more about how the Swiss Distance University of Applied Sciences (FFHS) bolstered the security of its online exam process using AI-based identity checking and fraud detection. ... See how enterprises are investing in AI to automate processes, personalize customer and employee experiences, and transform their industries. ... Subscribe to stay connected with Intel. ... “AI in Higher Education: Impact & Opportunity,” HolonIQ, February 27, 2023, https://www.holoniq.com/notes/artificial-intelligence-in-education-2023-survey-insights.

December 1, 2020 - In this regard, Karsenti (2019) states that with the support of analyses based on artificial intelligence tools, even · school absenteeism rates will decrease, a huge benefit for schools. The fourth theme includes suggestions from participants who proposed precautionary models, supervised systems, and pre-analysed steps for AI integration into the educational field. There should be several types of supervision on the

Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, particularly computer systems. These processes include learning (the acquisition of information and rules for using the information), reasoning (using the rules to reach approximate or definite conclusions), and self-correction. ... Narrow AI: Also known as weak AI, this type of AI operates under a limited set of constraints and is designed to perform a narrow task, such as voice recognition or driving a vehicle.

December 20, 2021 - The result analysis shows that AI has been widely applied to various educational technology platforms such as 1) VirtualAided Instruction (ICAI). Artificial Intelligence (AI) is the process of modeling human thinking and designing a machine so it can behave like humans.

4 Adapted from ASCD et al., Bringing AI to School: Tips for School Leaders (2023), https://cms-live-media.iste.org/Bringing_AI_to_School-2023_07.pdf. Go to reference · While generative AI has received the greatest attention in recent months, it is important to realize that humans have been using reactive and predictive AI tools for quite some time. In addition, AI technology is developing very quickly, with new models and tools introduced frequently. Artificial intelligence employed in pre-K–12 and higher education contexts can take on a variety of forms.

April 28, 2021 - Three paradigms are proposed for Artificial Intelligence in Education (AIED). ... Three paradigms are AI-directed, AI-supported, and AI-empowered. ... AI is used to represent knowledge models and direct cognitive learning in Paradigm One.

Generative AI gives teachers, students, and administrators access to powerful tools that can be put to great use in education. However, understanding the pros and cons of artificial intelligence in education is key to utilizing these tools effectively.

AI Deep Dive for Educators provides a complete introduction to artificial intelligence (AI) in education, guiding educators from foundational AI concepts through practical implementation strategies. Participants will learn to leverage AI tools for designing engaging learning experiences and ...

6 days ago - In the 1960s, educators and researchers began developing computer-based instruction systems, such as PLATO, developed by the University of Illinois. In the 1970s and 1980s, intelligent tutoring systems (ITS) were being adapted for classroom instruction. The International Artificial Intelligence in Education Society was founded in 1993.

AI algorithms can identify patterns and trends, assess the effectiveness of certain pedagogical approaches, and predict the outcomes of different educational strategies. The combination of ML-driven adaptive learning and natural language processing makes virtual assistants extremely flexible and, consequently, a valuable ally for learners. Chatbots and generative artificial intelligence tools operate 24/7, providing students with feedback and support whenever a question arises and helping students keep up with their studies.

The use of AI in the field of Education can be traced back to the 1970s when LOGO programming and Turtle robots were · introduced to young learners. However, those tools focused more on computational thinking or programming concepts · instead of AI. In 1995, a book named “Artificial Intelligence: A Modern Approach” was published and is considered the

ability of AI to change educational learning experiences and adaptive tutoring systems. For example, Carter · (2023, para. 3) noted that the “rise of artificial intelligence is an opportunity to reimagine this model and

August 27, 2024 - AI-enabled technologies also assist in administrative tasks, streamlining operations and freeing up educators to focus on teaching. Learn more about how teachers and school administrators are using AI-powered tools today and the possibilities for the future of artificial intelligence in education.

April 17, 2025 - The findings highlight the predominant use of generative AI tools like ChatGPT (30%), followed by other advanced technologies, such as GPT-4, machine learning, and virtual reality.