Social Network and Sentiment Analysis: Investigation of Students' Perspectives on Lecture Recording

被引:6
作者
Nkomo, Larian M. [1 ]
Ndukwe, Ifeanyi G. [1 ]
Daniel, Ben Kei [1 ]
机构
[1] Univ Otago, Higher Educ Dev Ctr, Dunedin 9016, New Zealand
关键词
Social networking (online); Sentiment analysis; Education; Peer-to-peer computing; Internet; Privacy; Mathematical model; Lecture attendance; lecture recordings; sentiment analysis; social network analysis; HIGHER-EDUCATION; ATTENDANCE; CAPTURE; PERFORMANCE; IMPACT; COMMUNITIES; TECHNOLOGY; VIEWS; MEDIA; USAGE;
D O I
10.1109/ACCESS.2020.3044064
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 and sentiment analysis techniques to examine individual messages posted on the Student Union's Facebook page. We chose to 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. Students stated that lecture recordings could facilitate the creation of an inclusive learning environment and inculcate a positive learning experience. Work presented in this article adds to the growing debate on the institutional deployment of lecture recordings and their impact on students' engagement and learning. It also demonstrated how educational researchers could utilise social network and sentiment analysis to examine critical issues in education.
引用
收藏
页码:228693 / 228701
页数:9
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