TO PREDICT STUDENT PERFORMANCE FROM ONLINE PLATFORM BY  USING META LEARNING

Diksha A. Bansod; S. N. Sawalkar

doi:10.17605/OSF.IO/FP53R

Authors

Diksha A. Bansod P.G Student, Department of Computer Science & Engineering, Sipna C.O.E.T, Amravati, India
S. N. Sawalkar Assistant Professor, Department of Computer Science & Engineering, Sipna C.O.E.T, Amravati, India

DOI:

https://doi.org/10.17605/OSF.IO/FP53R

Keywords:

Meta learning, Online platform, Virtual learning environment, Student performance, prediction of student

Abstract

Number of student use online platform for their preparation. For meta-learning is the science of systematically observing how different machine learning approaches perform on wide range of learning tasks, and then learning from this experience, or meta-data, to learn new tasks much faster than otherwise possible. Meta learning is an idea of "learning to learn," model for performing various tasks. We implemented a predictive model of a deep neural network, taking as a use case an educational dataset that contains information from students. Its one of the most relevant research topics is student performance prediction through clickstream activity in virtual learning environments, which provide information. From this result, what are important factor that impact on the result can be extracted to help the students prepared and predict student performance.

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