Classifying Student Attentiveness Using Machine Learning Technique for Improving Learning Systems

Autor: Dr Piyush Kumar Pareek
Jazyk: angličtina
Rok vydání: 2021
Předmět:
DOI: 10.5281/zenodo.4457313
Popis: In the studies carried out where different researchers have done various studies to categorize the student’s concentration. Many methods are reliant on the Qualitative Estimation and has many lacking Quantitative Estimation. Thus the work is to bridge the difference between the two Estimation methods for effective attention of the student. This research applies the ML algorithms such as K-means and SVM algorithm. Results of the research can be used to improvise the teaching for all the teachers at any levels and can make them utilize the method to strategize their teaching systems. The paper mentions about ML algorithms with can be used by teachers to get feedback for teaching. Thus, benefitting the students to improve learning method. Ultimately this yield to students to do better in the respective subjects.
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Databáze: OpenAIRE
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