Metasynthesis of Internet of Things and Artificial intelligence applications in smart educational environments

The purpose of this research is to identify the applications of Internet of Things and artificial intelligence in smart educational environments in order to increase the quality and educational innovations. The current research method is qualitative and its strategy is meta-Synthesis. The research statistical population, valid scientific studies from 2018 to 2023 were in the field of education. At first, using the keywords "Internet of Things Applications", "Artificial Intelligence Applications", "Internet of Things in Education", "Artificial Intelligence in Education", "Smart Education" and "Technology in Education" and based on the entry criteria, 1025 researches They were scientifically identified and then, according to the exclusion criteria, finally 56 articles were entered into the final analysis stage. Sandelowski & Barroso's model of six stages was used for the qualitative analysis of the documents. In order to increase the reliability of the results, Cohen's kappa coefficient was used, and the agreement between the two coders was 0.846. Finally, 15 components were identified, in the dimension related to the Internet of Things with 8 components including; 1-Library management,2-Attendance monitoring,3-Space reservation management,4-Building energy management of educational environments,5-Security and safety, 6-Health and satisfaction monitoring of learners,7-Smart classroom and education, and 8-Automation and in the dimension related to artificial intelligence with 7 components including; 1-Prediction,2-Smart teaching systems,3-Assessment and evaluation,4-Adaptation and personalization systems,5-Teacher robot and chat bot,6-Visualizations and 7-Blockchain. Also, the conceptual model of Internet of Things and artificial intelligence applications in smart educational environments was identified.