Education Data Mining, Visualization and Sentiment Analysis of Coursera Course Review
By: Bhoi, Dhaval
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Contributor(s): Thakkar, Amit.
Publisher: Pune Engineering Education Foundation 2022Edition: Vol, 36(2), October.Description: 169-177p.Subject(s): Humanities and Applied SciencesOnline resources: Click here
In:
Journal of engineering education transformations (JEET)Summary: Decisions are good or bed they are taken based on the available data. It is very much essential to represent the data in the right form to the right people and at the right time. Higher Engineering Institutes (HEI) is having a plethora of information available to them. Most of the available data are not used properly and remain just as dead storage. Methods: In this study, we have shown the importance of data visualization using a case study on Coursera review dataset. Different useful tools that support improving an Education System are summarized. Sentiment analysis is performed for coursera course review dataset using deep learning method. At the end, dashboard is also created to visualize student data using powerBI tool. Results: Uses of different visualization tools can help to improve the education system and its performance. The Sentiment expressed by students will help to improve the teaching-learning process and research contribution significantly as they are the major components for evaluation when any HEI wants to receive NAAC [National Assessment and Accreditation Council] approval for benefitting all stakeholders of the HEI. Conclusions: Proper analysis of available data and their proper visualization can help us to improve the education system to a great extent in terms of improving the most important factors like student teaching- learning and their placement to make their future bright. Students expressed sentiments are also key features to analyze the success of the teachinglearning process for both teachers and students as well. We have also used our institute students' data to generate a dashboard that contains student information from a different perspective that can help higher authorities to make better fruitful decisions.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2023-0461 |
Decisions are good or bed they are taken based on the available data. It is very much essential to represent the data in the right form to the right people and at the right time. Higher Engineering Institutes (HEI) is having a plethora of information available to them. Most of the available data are not used properly and remain just as dead storage. Methods: In this study, we have shown the importance of data visualization using a case study on Coursera review dataset. Different useful tools that support improving an Education System are summarized. Sentiment analysis is performed for coursera course review dataset using deep learning method. At the end, dashboard is also created to visualize student data using powerBI tool. Results: Uses of different visualization tools can help to improve the education system and its performance. The Sentiment expressed by students will help to improve the teaching-learning process and research contribution significantly as they are the major components for evaluation when any HEI wants to receive NAAC [National Assessment and Accreditation Council] approval for benefitting all stakeholders of the HEI. Conclusions: Proper analysis of available data and their proper visualization can help us to improve the education system to a great extent in terms of improving the most important factors like student teaching- learning and their placement to make their future bright. Students expressed sentiments are also key features to analyze the success of the teachinglearning process for both teachers and students as well. We have also used our institute students' data to generate a dashboard that contains student information from a different perspective that can help higher authorities to make better fruitful decisions.
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