• Prof. Sanjay Sharma
• Prof. Rohit Kumar Vyas

Today Machine learning and Artificial intelligence working on various critical phases of the world problems. At present we will predict and solve many problems using AI. In future AI plays a great role in problem solving and analysis. The output analysis and study on above topic is based on different input parameters.Suppose if we want to know that our delivered lecture was effective and feasible for the students.The result and prediction of machine learning support to update and enhance the current system. In machine learning, there are two types of learning: supervised and unsupervised. Supervised learning is learning in which our data has labels. Labels can be thought of as an end result. Unsupervised learning task is trying to find hidden structure in unlabeled data. Machine learning wants support of Artificial Intelligence, Neural Networking and fuzzy logic. The result or output is based on several input parameters. We study on both the parameters, first machine learning for the class itself and machine learning for student observations.

Classroom observation and Student behavioral analysis using Machine Learning and AI techniques

"Classroom observation and Student behavioral analysis using Machine Learning and AI techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.328-332, March-2019, Available :http://www.jetir.org/papers/JETIRAI06048.pdf

"Classroom observation and Student behavioral analysis using Machine Learning and AI techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp328-332, March-2019, Available at : http://www.jetir.org/papers/JETIRAI06048.pdf