- 年份:2023 年
- 編號:341
- Topic分類:6
- Topic分數:0.2134890556
- Publish:Sustainability
- 作者:Kamruzzaman, M M; Alanazi, Saad; Alruwaili, Madallah; Alshammari, Nasser; Elaiwat, Said; Abu-Zanona, Marwan; Innab, Nisreen; Bassam Mohammad Elzaghmouri; Bandar Ahmed Alanazi
Keywords:AI, IoT, sustainable education systems, smart cities
Abstract:AI-and IoT-Assisted Sustainable Education Systems during Pandemicssuch as COVID-19for Smart Cities The integration of AI and the IoT in education has the potential to revolutionize the way we learnPersonalized learningreal-time feedback and supportand immersive learning experiences are some of the benefits that AI and the IoT can bring to the education systemIn this regardthis research paper aims to investigate how AI and the IoT can be integrated into sustainable education in order to provide students with personalized and immersive learning experiences during pandemicssuch as COVID-19for smart citiesThe studys key findings report that AI can be employed in sustainable education through personalized learningAI-powered algorithms can be used to analyze student data and create personalized learning experiences for each studentThis includes providing students with tailored contentassessmentsand feedback that align with their unique learning style and paceAdditionallyAI can be used to communicate with students in a more natural and human-like waymaking the learning experience more engaging and interactiveAnother key aspect of the integration of AI and the IoT in education obtained from this research is the ability to provide real-time feedback and supportIoT-enabled devicessuch as smart cameras and microphonescan be used to monitor student engagement and provide real-time feedbackAI algorithms can then use these data to adapt the learning experience in real timeIoT-enabled devicessuch as tablets and laptopscan be used to collect and process student workallowing for the automatic grading of assignments and assessmentsAdditionallyIoT technology can facilitate remote monitoring and grading of student workwhich would be particularly useful for students who cannot attend traditional classroom settingsFurthermoreAI and the IoT can also be used to create intelligent personal learning environmentsPLEsthat provide students with personalizedadaptiveand engaging learning experiencesIoT-enabled devicessuch as smart cameras and microphonescombined with AI-powered algorithmscan provide real-time feedback and supportallowing the PLE to adapt to the students needs and preferencesIt is concluded that integrating AI and the IoT in sustainable education can revolutionize the way people learnproviding students with personalizedreal-time feedback and support and opening up new opportunities for remote and disadvantaged studentsHoweverit will be important to ensure that the use of AI and the IoT in education is ethical and responsible to ensure that all students have equal access to the benefits of these technologiesLibrary AutomationIoT device can be used to track the use of books and other library resourcesConsulting ServiceAI can be used to improve the search and discovery of resourcessuch as booksarticlesand multimediaRetrieval and IndexingAI-Powered search algorithm and robots can strengthen the context and intention of userssearch and queriesInstificational CollectionAI Analysis Library uses data and provides users with personalized recommendationsExpert SystemThe article refers to the AI-Powered Intelligent Tutoring SystemsThese systems usually include student models and teaching models to provide personalized guidanceNLPThe article refers to the use of natural language processing to provide studentspersonalized feedback on their written homeworkand in the interactive module allows students to use natural language to interact with the systemModel recognitionAI systems may be able to identify the model in studentsperformance dataMachine LearningIn the articlethe use of machine learning algorithms has been mentioned many times to analyze studentsperformance dataDeep LearningAlthough the article does not clearly mention deep learningdeep learning technology may have been used in multiple AI applicationsData ExplorationAnalyze big data sets through AI algorithmsidentify mode and correlationIOTThe use of IoT devices many times in the articlesuch as monitoring and controlling lighting and temperature in the smart classroom environmentand tracking studentsattendance and position
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