2020
DOI: 10.1109/access.2020.3044064
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Social Network and Sentiment Analysis: Investigation of Students’ Perspectives on Lecture Recording

Abstract: This article presents the results of a study aimed at understanding the value of lecture recordings to student learning. We analysed transcripts of discussions on social media (Facebook) that students generated on the value of lecture recordings. Students discussed whether recording lectures and making them available should be compulsory. While the efficacy of lecture recording has been studied using conventional methods (e.g. questionnaires and interviews) on highly structured data, we employed social network… Show more

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Cited by 12 publications
(7 citation statements)
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References 53 publications
(61 reference statements)
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“…The sentiment was classified into two polarities or classes: Positive and Negative, also called Binary Classification [7] initially. In Tanna et al [7], the sentiments were classified into Positive and Negative Classes [84]. It would provide different sections like universities or business to analyse the users' ideas depending on their circle.…”
Section: Multi-class Sentiment Analysismentioning
confidence: 99%
“…The sentiment was classified into two polarities or classes: Positive and Negative, also called Binary Classification [7] initially. In Tanna et al [7], the sentiments were classified into Positive and Negative Classes [84]. It would provide different sections like universities or business to analyse the users' ideas depending on their circle.…”
Section: Multi-class Sentiment Analysismentioning
confidence: 99%
“…Predicting Student Performance and Its Influential Factors Using Hybrid Regression and Multi-Label Classification [2], investigate and demonstrate the effectiveness of our entire approach on seven publicly available and varying datasets. Social Network and Sentiment Analysis: Investigation of Students' Perspectives on Lecture Recording [3], employ social network and sentiment analysis because these methods are useful in examining semi-structured and unstructured social media data. Overall findings suggest students generally view lecture recordings as resources for supplementing live lectures rather than replacing them.…”
Section: Related Workmentioning
confidence: 99%
“…Influence, and curb the expansion of elite group's self-interested behavior. Second, establish a central flow mechanism to unblock the channels of capital, information and technology dissemination [15]. On the one hand, we need to publicize and persuade several key nodes in a targeted manner, so that they can effectively drive the demonstration role of pollution control.…”
Section: Spatial Difference Governance Of Environmental Pollution Bas...mentioning
confidence: 99%