Elsevier Journal of Internet of Things (Impact Factor: 5.711)
Artificial Intelligence (AI) and Internet of Things (IoT) are two of the most disruptive educational technologies in recent times. While AI has the potential to revolutionize the way we learn and teach, IoT enables the creation of smart learning environments. The combination of AI and IoT, known as Artificial Intelligence of Things (AIoT), is an emerging field with the potential to transform education. AIoT allows devices and systems to collect, analyze and use data to make intelligent decisions, automate tasks, and improve efficiency in education. AIoT can also be used to create smart learning environments that respond to students’ needs and adapt to their learning styles, such as adjusting the lighting, temperature, and audio to create an optimal learning environment. Overall, AIoT aims to improve the quality and effectiveness of education by providing innovative ways of teaching, learning, and assessing students, such as:
- Personalized learning: AIoT can enable personalized learning by creating tailored learning experiences based on students’ individual learning styles, preferences, and abilities.
- Adaptive assessment: AIoT can monitor students’ progress in real-time and provide adaptive assessment that adjusts to their level of understanding, providing immediate feedback to students and teachers.
- Smart classrooms: AIoT-enabled smart classrooms can enhance the learning experience by automating routine tasks, such as attendance taking and grading, and by providing students and teachers with real-time information about the classroom environment.
- Predictive analytics: AIoT can use predictive analytics to identify students who are at risk of falling behind and provide targeted interventions to support their learning.
- Augmented and virtual reality: AIoT can enable the development of immersive learning experiences through the use of augmented and virtual reality, allowing students to explore and interact with educational content in new and engaging ways.
- Intelligent tutoring systems: AIoT can support intelligent tutoring systems that use machine learning algorithms to provide personalized guidance to students based on their progress and performance.
This special issue of the Elsevier Journal of Internet of Things invites researchers and practitioners to submit original and high-quality research articles that address the use of AIoT in education. We welcome contributions that explore the potential of AIoT to enhance the learning process, improve student engagement, and support innovative teaching approaches.
The topics of interest for this special issue include, but are not limited to:
- AIoT-based educational tools and systems
- Smart classrooms and AIoT-enabled learning environments
- Wearable devices and AIoT for learning and assessment
- Educational data mining and learning analytics using AIoT
- Augmented and virtual reality in AIoT-based education
- AIoT-based personalized learning and adaptive learning
- Security, privacy and ethical issues in AIoT-based education
- AIoT-based educational games and simulations for student engagement
- AIoT-based assistive technologies for learners with disabilities
- Teacher training and professional development in AIoT
We invite researchers and practitioners from a range of disciplines, including education, computer science, engineering, and psychology to submit their original research work. All submissions will be peer-reviewed, and only high-quality submissions will be accepted for publication.
All submissions must be original and should not have been published or under review elsewhere. Manuscripts should be prepared according to the journal guidelines and submitted through the Elsevier online submission system.
- Manuscript submission deadline: July 30, 2023
- First notification: October 30, 2023
- Final manuscript due: December 30, 2023
- Publication date: early 2024
- Prof. Nicola Capuano, School of Engineering, University of Basilicata, Potenza, Italy. Email: firstname.lastname@example.org
- Prof. Victor Ströele, Department of Computer Science, Federal University of Juiz de Fora, Minas Gerais, Brazil. Email: email@example.com
- Prof. Santi Caballé, Open University of Catalonia, Barcelona, Spain. Email: firstname.lastname@example.org
For inquiries, please contact:
Prof. Santi Caballé, on behalf of the Guest Editors, Special Issue on “Artificial Intelligence of Things in Education”
Elsevier Journal of Internet of Things