Education and learning are no longer limited to schools and classrooms. The evolution of technology has changed the way educational institutions operate. The Internet of Things (IoT) has the potential of connecting a large number of devices to the Internet. Artificial intelligence (AI) and machine learning (ML) have the potential to make machines think like and mimic humans in a wireless environment. These technologies are influencing every facet of human lives. They have a wide variety of applications in industry, healthcare, transportation, smart cities, and energy.

The education/learning domain is also not untouched by technological evolution. IoT has played a major role in engaging students in the classroom. IoT has helped teachers to make their classroom more interactive and engaging. IoT makes education reachable in terms of ability, geography, and status. For example, immersion is a technique used to learn foreign language based on real time feedback. Learning a language in its native country is easy where the speaker's feedback can be obtained freely. It is difficult to create these environments outside the country, but IoT helps in creating simulation environments where students can be monitored, and teachers can also provide real-time feedback to students. Task-based learning can be achieved through IoT networking. In task-based learning, students learn-by-doing, and this enables teachers to assist and monitor a student’s performance automatically. IoT has been a great aid for disabled students by providing technical assistance. Along with IoT, AI and ML have also contributed a lot to developments in research and education. AI and ML help in automating the basic time-consuming processes of class such as attendance and grading. Educational software can be adapted according to the student’s needs. IoT and AI help in e-learning courses where students can access tutorials and videos from anywhere and at any time. Discussion groups and forums also help students to exchange their queries, thoughts, and information.

This Special Issue aims to provide a platform for researchers and practitioners to exchange and publish the latest challenges, research trends, and results related to applications of artificial intelligence, machine learning, and IoT for smart education/learning in wireless environments. Innovative ideas, methods, and techniques aim to make these technologies more applicable and practical in education/learning. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

• AI, ML, and IoT in smart education in wireless environments
• AI, ML, and IoT in smart learning
• Advanced embedded systems
• Personalized learning
• IoT and AI for learners with disabilities
• Green IoT for teaching and learning
• AI and ML for mobile computing and smart learning
• Security and privacy issues in wireless environments
• IoT and AI for e-learning
• Computational thinking in wireless environments
• Ubiquitous e-teaching and e-learning
• Distance e-learning and learner cognition
• Social media and sentiment analysis
• IoT and remote laboratories
• Activity recognition and behavior analysis
• Artificial Intelligence in smart learning