Capitalizing on Learning Analytics Dashboard for Maximizing Student Outcomes

Ramaswami, Gomathy; Sušnjak, Teo; Mathrani, Anuradha

doi:10.1109/csde48274.2019.9162357

Cited by 5 publications

(15 citation statements)

References 11 publications

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“…In the context of sense-making, LA dashboards aim to represent user-specific learning data in a meaningful way [32,35]. Besides, dashboards can provide personalized, visualized feedback for learners in real-time [36,35]. This visually-prepared feedback also provides data-driven insights to improve the decision-making processes of learners, for instance about the learning process and progress [32,36,31,35].…”

Section: Use Case 1: Individual Learning Dashboardmentioning

confidence: 99%

“…Besides, dashboards can provide personalized, visualized feedback for learners in real-time [36,35]. This visually-prepared feedback also provides data-driven insights to improve the decision-making processes of learners, for instance about the learning process and progress [32,36,31,35]. Schwendimann et al, Matcha et al, and Rohloff et al [32,31,35] have experienced that LA dashboards can improve the motivation and behavior of learners.…”

Section: Use Case 1: Individual Learning Dashboardmentioning

confidence: 99%

“…The most important data input referring to Schwendimann et al and Matcha et al [32,31] is logs to track computer-mediated user activity. However, there are manifold data sources that can be used for the application of LA dashboards, for instance, user information collected through questionnaires and interviews [32,31], user-produced learning artifacts, completed tasks [32,33], and test scores [36,33], institutional database records including course information [32], or user activity tracked with sensors [32]. Additionally, Schwendimann et al [32] examine the advantages of collecting data from external application programming interfaces (API) and social media applications.…”

Section: Use Case 1: Individual Learning Dashboardmentioning

confidence: 99%

“…Therefore, usability testing is an important step during dashboard development and implementation [37]. The first components are web-based learning environments or LMS, for in-stance, moodle or Edx [36,33,35]. The second component is a visual representation tool implemented in the graphical user interface.…”

Section: Use Case 1: Individual Learning Dashboardmentioning

confidence: 99%

“…The second component is a visual representation tool implemented in the graphical user interface. Proper visualization tools include most commonly bar charts, line graphs, tables, timelines, circular progress bars, pie charts, histograms, network graphs, or boxplots [32,36,35]. For instance, Ramaswami [36] facilitates the deployment through Power BI services.…”

Section: Use Case 1: Individual Learning Dashboardmentioning

confidence: 99%

See 4 more Smart Citations

Learn Smarter, Not Harder – Exploring the Development of Learning Analytics Use Cases to Create Tailor-Made Online Learning Experiences

Ritz¹,

Grueneke²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Our world is significantly shaped by digitalization, fostering new opportunities for technology-mediated learning. Therefore, massive amounts of knowledge become available online. However, concurrently these formats entail less interaction and guidance from lecturers. Thus, learners need to be supported by intelligent learning tools that provide suitable knowledge in a tailored way. In this context, the use of learning analytics in its multifaceted forms is essential. Existing literature shows a proliferation of learning analytics use cases without a systematic structure. Based on a structured literature review of 42 papers we organized existing literature contributions systematically and derived four use cases: learning dashboards, individualized content, tutoring systems, and adaptable learning process based on personality. Our use cases will serve as a basis for a targeted scientific discourse and are valuable orientation for the development of future learning analytics use cases to give rise to the new form of Learning Experience Platforms.

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Section: Use Case 1: Individual Learning Dashboardmentioning

confidence: 99%

Section: Use Case 1: Individual Learning Dashboardmentioning

confidence: 99%

Section: Use Case 1: Individual Learning Dashboardmentioning

confidence: 99%

Section: Use Case 1: Individual Learning Dashboardmentioning

confidence: 99%

Section: Use Case 1: Individual Learning Dashboardmentioning

confidence: 99%

See 3 more Smart Citations

Learn Smarter, Not Harder – Exploring the Development of Learning Analytics Use Cases to Create Tailor-Made Online Learning Experiences

Ritz¹,

Grueneke²

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Maximizing Student Achievement Through the Collection and Visualization of Assessment Data

Tyler‐Wood

Cockerham

2021

Advances in Analytics for Learning and Teaching

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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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Capitalizing on Learning Analytics Dashboard for Maximizing Student Outcomes

Cited by 5 publications

References 11 publications

Learn Smarter, Not Harder – Exploring the Development of Learning Analytics Use Cases to Create Tailor-Made Online Learning Experiences

Learn Smarter, Not Harder – Exploring the Development of Learning Analytics Use Cases to Create Tailor-Made Online Learning Experiences

Maximizing Student Achievement Through the Collection and Visualization of Assessment Data

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

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