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China’s information technology development is rapid; the organic combination of science and technology and education has promoted the reform of the education system; the education platform supplemented by mobile devices provides students with a new learning mode; student learning is no longer limited by the traditional education system; and learner...
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... It builds upon prior industrial revolutions in education: Education 1.0 (traditional classroom teaching), Education 2.0 (introduction of computers and the internet), and Education 3.0 (web-based collaborative learning). Education 4.0 strives to establish a dynamic and adaptive learning environment by harnessing the capabilities of AI, big data, the Internet of ings (IoT), and other cutting-edge technologies [51][52][53][54][55][56]. AI in Education 4.0 plays a multifaceted role, in uencing various facets of the educational landscape [18][19][20][21][22]. e following are key areas where AI is signi cantly impacting the eld: ...
... The Internet of Things (IoT) provides a deeper understanding of the potential and challenges of using the Internet of Things in higher education and provides guidance for educational institutions planning to adopt it in learning strategies. (Li, 2022). Therefore, learning that applies the Internet of Things (IoT) will make it easier for students tounderstand the subject matter ...
This research aims to determine the influence of the Internet of Things (IoT) in education. This type of research is meta-analysis research. The research sample came from an analysis of 13 national and international journals. Search research data through google Scholar, ERIC, ScienceDirect, and ProQuest databases. Data search keywords are Internet of Things and Internet of Things in Education. The inclusion criteria in the meta-analysis are publications in 2020-2023, research related to the internet of things in education, publications from indexed journals SINTA, Scopus, and WOS, and research reporting complete data to calculate effect size values. Analysis uses quantitative analysis by calculating the value of effect size with the help of Comperehensive meta-analysis (CMA) applications. The results concluded that the average value of effect size was 0. 95 with high ketogeri effect size. These findings explain the significant influence of the Internet of things in education.
... It builds upon prior industrial revolutions in education: Education 1.0 (traditional classroom teaching), Education 2.0 (introduction of computers and the internet), and Education 3.0 (web-based collaborative learning). Education 4.0 strives to establish a dynamic and adaptive learning environment by harnessing the capabilities of AI, big data, the Internet of ings (IoT), and other cutting-edge technologies [51][52][53][54][55][56]. AI in Education 4.0 plays a multifaceted role, in uencing various facets of the educational landscape [18][19][20][21][22]. e following are key areas where AI is signi cantly impacting the eld: ...
This research paper explores how the integration of Artificial Intelligence (AI) in the education sector is bringing about transformative changes, particularly within the frameworks of Education 4.0 and 5.0. In response to the evolving technological landscape, education is undergoing a shift to address the challenges of the 21st century, moving away from traditional models to embrace more personalized and adaptive approaches. Education 4.0 represents a significant shift where technology, notably AI, is harnessed to enhance the learning experience. The paper investigates the utilization of AI technologies, such as machine learning algorithms and natural language processing, to create personalized learning environments. These environments are designed to meet the specific needs and preferences of individual learners, fostering a more engaging and effective educational experience. The move from Education 3.0 to 4.0 signifies a departure from standardized, one-size-fits-all approaches to education, embracing a more dynamic and responsive system. Expanding on the principles of Education 4.0, Education 5.0 takes the integration of AI in education a step further by emphasizing adaptive learning. The paper delves into the concept of adaptive learning, exploring how AI systems can dynamically adjust instructional strategies based on real-time feedback and learner progress. Education 5.0 seeks to optimize the learning journey by tailoring content, pace, and assessments to each student's abilities and learning style, aiming to improve overall educational outcomes. Additionally, the research examines the challenges and ethical considerations associated with the widespread adoption of AI in education. It critically evaluates issues related to data privacy, bias in AI algorithms, and the potential impact on teacher-student relationships. The findings emphasize the need to strike a balance between technological innovation and ethical considerations, ensuring the responsible and effective integration of AI in personalized and adaptive learning environments.
Keywords: Artificial Intelligence, Education 4.0, Education 5.0, learning, Industry 4.0, Medical education, Engineering education.
Internet of things involves interconnected devices and technology facilitating communication between devices and the cloud, as well as among devices themselves. The study is correlational study designed to investigate the role and applications of internet of things in higher education: Uses and ways IoT affects students' learning. The population of the study is 88 year two students in the department of education, School of Education and Humanities, Babcock University, IIishan and 65 year two students in the department of educational technology, School of computer and Information science, Crawford University, Igbesa. A sample of 100 students was used for the study. A simple random sampling technique was used for the study. The Instrument used for the study was a structured questionnaire titled the role of Internet of Things in Education: Uses and ways IoT affects student's learning (RITEUWIOTASL) with 30 items. For the study, face and content validity were used. Using Pearson product moment correlation, reliability coefficient of 0.86 was found. The study's statistical methods included the mean and z test. The study found that IoT devices contribute to campus security, through the integration of surveillance cameras, access control systems and sensors and also IoT facilitates efficient management of educational resources including textbooks, equipment, and digital content. Based on the findings, it was recommended that Educational institutions should invest in comprehensive professional development programs for educators to enhance their understanding of IoT technologies and their effective integration into teaching practices. This will empower educators to leverage IoT tools to create innovative and engaging learning experiences.
