Scandic Journal of Advanced Research and Reviews
ISSN 2703-965X

International Journal with High Impact Factor for fast publication of Research and Review articles

Nedre prinsdal vei 143, 1263 Oslo, Norway

Consumer Behavior in the Online Classroom: Using Video Analytics and Machine Learning to Understand the Consumption of Video Courseware.

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Call for Paper

Vol. 2, Issue 6, MAY 2022

Submission : up to 29th April

Editorial decision: 48 hrs

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Nadeem Ur Rehman¹ and Asad Ali²

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Abstract:

The world is facing Pandemic, which has affected almost every field of life. It has also left worst impact on education sector, due to which students have remained unable to attend their classes. However, to deal with such issues, now the schools have started online classrooms, in which teachers and students interact via online media and learn regarding course content. This has also raised opportunities for the marketing companies to better understand consumers’ need and evaluate what marketing tactics can directly influence the people to buy their products. Thus, the article (Zhou & Chen, 2021) aims to evaluate how use of novel video feature framework can be helpful for the marketing management to understand the consumption of online video from content-based perspective.

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