Understanding the University Student Experience Through Big Data Analytics

Understanding the University Student Experience Through Big Data Analytics

Wonkyung Choi, Jun Jo, Geraldine Torrisi-Steele
Copyright: © 2024 |Pages: 20
DOI: 10.4018/IJAET.338318
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Abstract

Despite best efforts, the student experience remains poorly understood. One under-explored approach to understanding the student experience is the use of big data analytics. The reported study is a work in progress aimed at exploring the value of big data methods for understanding the student experience. A big data analysis of an open dataset of student comments is being undertaken. The first and simplest use of big data analytics is for the identification of high frequency keyword groups, which, without big data analytics, would be extremely time consuming. However, the lack of context surrounding keyword groups severely limited the ability to draw meaningful conclusions and highlighted the need for human intervention in the analysis process. Future work includes sentiment analysis. This initial work is an impetus for further exploration of big data analytics methods in qualitative contexts, especially in dynamic contexts where rapid data analysis can form a basis for timely interventions.
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The Student Experience

The university experience is a complex and multidimensional journey shaped by various factors that impact students' overall satisfaction, engagement, and success. Understanding these factors is crucial for universities to create supportive and enriching educational environments. Research has identified a number of factors influencing student’s experience (Gopal et al., 2021; Awidi et al., 2019; Al Kurdi et al., 2020). One of the factors is academics, which plays a pivotal role in shaping students' experiences. The quality of teaching, including pedagogical approaches, instructor-student interactions, and feedback, significantly impacts students' engagement and motivation (Chickering & Gamson, 1987). Additionally, curriculum design, including the relevance and coherence of courses, flexibility, and opportunities for experiential learning, influences students' sense of achievement and intellectual growth (Kuh et al., 2010).

Previous studies emphasize the importance of effective teaching and student engagement in shaping the student experience (Ta, Hien Thi Thu, et al., 2023; Hope, 2012). Research suggests that innovative teaching methods, interactive classroom activities, and supportive instructor-student interactions positively influence student satisfaction, motivation, and learning outcomes (McKinney et al., 2019). Engaged students tend to be more committed, involved, and satisfied with their educational experience leading to higher retention rates and academic achievement (Kahu, 2013).

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