Visual Analytics for Increasing Efficiency of Higher Education Institutions

Géryk, Jan; Popelínský, Lubomír

doi:10.1007/978-3-319-11460-6_11

Cited by 5 publications

(3 citation statements)

References 10 publications

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“…Five significant reasons were identified: learning skills, assessment, time management, courses and family issues. Géryk and Popelínský (2014) presented an interactive visual analytics tool EDAIME that explores academic analytics and examines whether changes in the fields of study are related to retention.…”

Section: Supporting Learningmentioning

confidence: 99%

A decade of research into the application of big data and analytics in higher education: A systematic review of the literature

Stojanov

Daniel

2023

Educ Inf Technol

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The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and encompassing 75 papers, analysed the applications of Big Data and analytics in higher education. The focus was on their usage in supporting learning, teaching and administration as reported in papers indexed in SCOPUS, Web of Science and IEEE Xplore. The key findings from the review revealed that Big Data and analytics are predominantly used to support learning and, to a lesser extent, guide teaching and informing administrative decision-making processes. The review also identified a set of studies focused on supporting student well-being. Further, we extend the use of Big Data in higher education to include the well-being of students and staff. This paper contributes to the growing debate on the practical use of Big Data and analytics to provide valuable insights for solving systemic challenges facing high education in the twenty-first century.

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Section: Supporting Learningmentioning

confidence: 99%

A decade of research into the application of big data and analytics in higher education: A systematic review of the literature

Stojanov

Daniel

2023

Educ Inf Technol

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“…We already evaluated the usefulness of the methods with a case study presented in Géryk and Popelínský (), which concerns with the exploration of study‐related data. The study encompasses the following aspects: Users: Conclusions are mainly interesting for university executives when designing study plans. Data: We examined student‐related data about students admitted to the bachelor's degree of the Faculty of Informatics Masaryk University between years 2006 and 2008.…”

Section: The Visual Analytics Frameworkmentioning

confidence: 99%

“…We already evaluated the usefulness of the methods with a case study presented in Géryk and Popelínský (2014), which concerns with the exploration of study-related data. The study encompasses the following aspects:…”

Section: Visual Analysis Using Trajectory Featuresmentioning

confidence: 99%

Visual analytics of educational time‐dependent data using interactive dynamic visualization

Géryk

2016

Expert Systems

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A major challenge in the modern educational research is the large amount of time‐dependent data, which requires suitable methods to provide an efficient decision making. The fields of visual analytics and interactive visualization can help to cope with the related issues by involving the analyst in the exploration process. The time is an important variable that needs to be modeled in visual analytics. Methods like motion charts show the changes over time by presenting animations in the two‐dimensional space and by changing the element appearances. In this paper, we present a novel web‐based visual analytics framework, which is primarily designed for exploratory analysis of academic analytics and employs a combination of improved motion charts methods, trajectory‐based visualizations, and automated analytic methods for the purpose of analyzing data elements based on their relations with the time dimension and examining data dynamics. We evaluate the usefulness and the general applicability of the framework with a controlled experiment to assess the efficacy of the methods. To interpret the experiment results, we utilize one‐way repeated measures analysis of variance. Also, a questionnaire survey with experts was conducted to evaluate the usability of the methods.

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Towards Academic Analytics by Means of Motion Charts

Géryk

Popelínský

2014

Open Learning and Teaching in Educational Communities

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Visual Analytics for Increasing Efficiency of Higher Education Institutions

Cited by 5 publications

References 10 publications

A decade of research into the application of big data and analytics in higher education: A systematic review of the literature

A decade of research into the application of big data and analytics in higher education: A systematic review of the literature

Visual analytics of educational time‐dependent data using interactive dynamic visualization

Towards Academic Analytics by Means of Motion Charts

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