A critical evaluation, challenges, and future perspectives of using artificial intelligence and emerging technologies in smart classrooms

被引:0
作者
Eleni Dimitriadou
Andreas Lanitis
机构
[1] Cyprus University of Technology,Visual Media Computing Lab, Department of Multimedia and Graphic Arts
[2] CYENS Centre of Excellence,undefined
来源
Smart Learning Environments | / 10卷
关键词
Smart environment; Educational technology; Artificial intelligence; Emerging technologies; Smart classroom;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
相关论文
共 278 条
[1]  
Abdel-Basset M(2019)Internet of things in smart education environment: Supportive framework in the decision-making process Concurrency and Computation: Practice and Experience 31 e4515-152
[2]  
Manogaran G(2008)Building an economical VR system for CS education ACM SIGCSE Bulletin 40 148-3
[3]  
Mohamed M(2015)Overview of different plagiarism detection tools International Journal of Futuristic Trends in Engineering and Technology 2 1-345
[4]  
Rushdy E(2018)The flipped classroom: A review of its advantages and challenges Computers & Education 126 334-234
[5]  
Adams JC(2019)A comparative study between a virtual reality heart anatomy system and traditional medical teaching modalities Virtual Reality 23 229-769
[6]  
Hotrop J(2020)Student activities detection of SUST using YOLOv3 on deep learning Indonesian Journal of Electrical Engineering and Informatics 8 757-63
[7]  
Ahmed RA(2009)Ambient intelligence: Opportunities and consequences of its use in smart classrooms Innovation in Teaching and Learning in Information and Computer Sciences 8 53-48
[8]  
Akçayır G(2013)Assessing writing in MOOCs: automated essay scoring and calibrated peer review™ Research & Practice in Assessment 8 40-1176
[9]  
Akçayır M(2014)E-learning platforms in higher education. Case Study Procedia Computer Science 31 1170-1373
[10]  
Alfalah SF(2015)University level learning and teaching via e-learning platforms Procedia Computer Science 55 1366-65