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Artificial Intelligence and Machine Learning in Smart Education

Artificial Intelligence and Machine Learning in Smart Education

Sheelesh Kumar Sharma, Ram Jee Dixit, Deepshikha Rai, Shalu Mall
Copyright: © 2024 |Pages: 21
ISBN13: 9798369307823|ISBN13 Softcover: 9798369346792|EISBN13: 9798369307830
DOI: 10.4018/979-8-3693-0782-3.ch006
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MLA

Sharma, Sheelesh Kumar, et al. "Artificial Intelligence and Machine Learning in Smart Education." Infrastructure Possibilities and Human-Centered Approaches With Industry 5.0, edited by Mohammad Ayoub Khan, et al., IGI Global, 2024, pp. 86-106. https://doi.org/10.4018/979-8-3693-0782-3.ch006

APA

Sharma, S. K., Dixit, R. J., Rai, D., & Mall, S. (2024). Artificial Intelligence and Machine Learning in Smart Education. In M. Khan, R. Khan, P. Praveen, A. Verma, & M. Panda (Eds.), Infrastructure Possibilities and Human-Centered Approaches With Industry 5.0 (pp. 86-106). IGI Global. https://doi.org/10.4018/979-8-3693-0782-3.ch006

Chicago

Sharma, Sheelesh Kumar, et al. "Artificial Intelligence and Machine Learning in Smart Education." In Infrastructure Possibilities and Human-Centered Approaches With Industry 5.0, edited by Mohammad Ayoub Khan, et al., 86-106. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-0782-3.ch006

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Abstract

Artificial intelligence and machine learning have the potential to transform education by making it more effective, personalized, and engaging. In the context of smarter education, these technologies can be used in many ways to enhance learning for students and teachers: Intelligent Content Creation: AI can create learning content such as quizzes, exercises, and interactive experiments based on the specific needs of the course; Education Analysis: AI can analyze data from a variety of sources, such as student interactions with lessons, attendance records, and assessment results to understand learning patterns and trends. Teachers can use this information to identify struggling students, adjust instruction, and create interventions to improve overall learning; Automatic Grading and Feedback: Machine learning algorithms can grade assignments and tests, providing instant feedback to students. These technologies allow students to explore complex concepts in a practical and engaging way, making learning more effective and memorable.

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