ReviewSmart learning environments2023
A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms.
Review in Smart learning environments, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Smart Classrooms: How Sensors and AI Are Shaping Educational Paradigms.Sensors (Basel, Switzerland) · 2024Pooled it
- Therapeutic Applications of Natural Products in Biomedicine and Pharmacotherapy.Life (Basel, Switzerland) · 2026Review
- Artificial intelligence-powered evaluation model for English translation education in university: combining quantitative and qualitative methods.Scientific reports · 2026Article
- Influencing mechanisms of undergraduates' continuous learning behavior in the context of intelligent technology: an empirical analysis.Frontiers in psychology · 2026Article
- English teachers' perceptions of AI-supported writing instruction: implications for professional development.Frontiers in psychology · 2026Article
- StudentNet: an edge-deployable approach for student behavior detection in smart classrooms.Frontiers in computational neuroscience · 2026Article
- Psychological readiness and expectancy-based evaluations in IoT-adoption smart music classrooms.Frontiers in psychology · 2026Article
- SBR-YOLO: context-position attention and adaptive feature fusion for student behavior recognition.Frontiers in computational neuroscience · 2026Article
- Evaluation of Parental Awareness on Emergency Management of Traumatic Dental Injuries: The Role of the ToothSOS Application.Dental traumatology : official publication of International Association for Dental Traumatology · 2025Article
- The Revolution in Midwifery Education: How AI and Deep Learning are Transforming Outcome-Based Assessments?Advances in medical education and practice · 2025Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The term "Smart Classroom" has evolved over time and nowadays reflects the technological advancements incorporated in educational spaces. The rapid advances in technology, and the need to create more efficient and creative classes that support both in-class and remote activities, have led to the integration of Artificial Intelligence and smart technologies in smart classes. In this paper we discuss the concept of Artificial Intelligence in Education and present a literature review related to smart classroom technology, with an emphasis on emerging technologies such as AI-related technologies. As part of this survey key technologies related to smart classes used for effective class management that enhance the convenience of classroom environments, the use of different types of smart teaching aids during the educational process and the use of automated performance assessment technologies are presented. Apart from discussing a variety of technological accomplishments in each of the aforementioned areas, the role of AI is discussed, allowing the readers to comprehend the importance of AI in key technologies related to smart classes. Furthermore, through a SWOT analysis, the Strengths, Weaknesses, Opportunities, and Threats of adopting AI in smart classes are presented, while the future perspectives and challenges in utilizing AI-based techniques in smart classes are discussed. This survey targets educators and AI professionals so that the former get informed about the potential, and limitations of AI in education, while the latter can get inspiration from the challenges and peculiarities of educational AI-based systems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.