Artificial Intelligence in Higher Education: A Practical Approach

AI in education encompasses a wide range of applications, including learning methodologies, intelligent tutoring systems, student guidance and assessments, educational chatbots, and artificial tutors. It has practical and applicability implications, with new and current research from research centers and higher education universities. Case studies showcase AI techniques in educational activities.

Format: Hardback
Length: 248 pages
Publication date: 29 August 2022
Publisher: Taylor & Francis Ltd

The field of artificial intelligence (AI) in education encompasses a wide range of applications, including any type of AI that is related to education. This article explores various aspects of AI in education, such as learning methodologies, intelligent tutoring systems, intelligent student guidance and assessments, intelligent educational chatbots, and artificial tutors. It also discusses the practicality and applicability of AI in education, including new and current research from research centers and higher education universities. Additionally, the article offers case studies of AI techniques in educational activities to demonstrate their effectiveness in enhancing learning outcomes.

AI in education has the potential to revolutionize the way we teach and learn. By leveraging advanced technologies like machine learning, natural language processing, and computer vision, AI can provide personalized and adaptive learning experiences for students. Intelligent tutoring systems can use data and algorithms to assess student performance and provide targeted feedback and guidance. Intelligent student guidance and assessments can help students identify their strengths and weaknesses and develop personalized learning plans. Intelligent educational chatbots can provide 24/7 support and assistance to students, answering their questions and helping them with their assignments. Artificial tutors can simulate human-like teaching interactions and provide students with personalized attention and guidance.

However, there are also challenges associated with the use of AI in education. One of the biggest challenges is ensuring that AI systems are fair and unbiased. AI systems are only as good as the data they are trained on, and if the data is biased, the AI system will reflect that bias. This can lead to unfair outcomes for students, particularly those from marginalized communities. Another challenge is ensuring that AI systems are secure and protected from cyber threats. With the increasing amount of personal and sensitive data being collected and stored by AI systems, there is a risk of data breaches and other security incidents.

Despite these challenges, AI in education is growing rapidly. Research centers and higher education universities are investing heavily in AI research and development, and many schools and districts are already using AI in their teaching and learning practices. As AI technology continues to evolve, it is likely to become even more integrated into education, providing students with even more personalized and effective learning experiences.

In conclusion, AI in education has the potential to transform the way we teach and learn. By leveraging advanced technologies like machine learning, natural language processing, and computer vision, AI can provide personalized and adaptive learning experiences for students. However, there are also challenges associated with the use of AI in education, such as ensuring that AI systems are fair and unbiased and ensuring that AI systems are secure and protected from cyber threats. As AI technology continues to evolve, it is likely to become even more integrated into education, providing students with even more personalized and effective learning experiences.

Weight: 650g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032026060