Title:
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EXPLORING THE ROLE OF DATA ANALYTICS
IN ENHANCING THE STUDENT EXPERIENCE |
Author(s):
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Imaan Faker and Mmaki Jantjies |
ISBN:
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978-989-8704-24-5 |
Editors:
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Hans Weghorn |
Year:
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2020 |
Edition:
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Single |
Keywords:
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Data Analytics, Learning Analytics, Academic Analytics, Higher Education, Student Experience, South Africa |
Type:
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Full |
First Page:
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105 |
Last Page:
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111 |
Language:
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English |
Cover:
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Full Contents:
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click to dowload
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Paper Abstract:
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Challenges around ensuring the quality and relevance of higher education institution's (HEI's) will persist globally in the
years to come. This is of particular concern in South Africa where HEI graduation rates are still considered low. With the
vast amount of data that is being generated by organisations, HEIs are increasingly required to utilize data analytic
techniques to improve student experience. Data analytics is about creating valuable meaning out of large and complex
datasets. Students generate large amounts of data by accessing information, student support and development as well as
other social experiences on campus. This data can ethically be used to improve student experiences. This study explores
the necessity of academic and social experience data in being able to enhance students' higher education experiences at a
South African university. This quantitative research paper forms part of a long-term study exploring how data analytics
can be used to improve student administration to enhance the overall student experience at an HEI in South Africa. Using
an online self-administered questionnaire, data was gathered from a small sample of students as part of a pilot study at an
HEI to understand the student experiences and use of data at the university. Descriptive statistics were used to analyse
data. Results suggest that the use of data analytics is still in its early stages in using such data to gain valuable insights in
improving student experiences. This exploratory research further provided an understanding into the student
administrative issues that exist and provides a basis for further conversations around what the expectations should be
when introducing data analytic technologies are within higher education. |
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