Big Data Analytics for Healthcare System

Kumari, Sandhya; Dr.K., Sandhya Rani

doi:10.2139/ssrn.3168338

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…pauses, slow watching, and rewinding. Complex data volume, unlike traditional data warehouse analytics, rely on periodic data loads and daily, weekly, or monthly updates, and are analyzed and processed in real-time (Kumari, 2018). Reliability is connected to data consistency and accuracy (Duda et al, 2018), which is relatively simple to achieve in Blackboard platform because every kind of data can be originated from a single source.…”

Section: Effects Of Bigmentioning

confidence: 99%

“…Visualization can generate reports for lecturers to make decisions about improving student learning, because Blackboard platform is equipped with big data analytics techniques such as the intelligent tools integrated into Blackboard. Such reports are algorithm and methods for real-time visual analytics-based reports (Kumari, 2018). Value refers to the ability to generate economic value and new knowledge through data utilization.…”

Section: Effects Of Bigmentioning

confidence: 99%

“…In short, unstructured and complex data can be converted into actionable information and valuable insights with techniques of big data analytics within Blackboard platform to guide the process of decision taking about how to enhance students' learning. Finally, variability indicates data with constantly meaning change (Kumari, 2018;Choi;Ahn;Shin, 2019), such as video interaction data that vary over time.…”

Section: Effects Of Bigmentioning

confidence: 99%

See 2 more Smart Citations

Effects of Big Data Analytics in Learning Management Systems for Improving Learners’ Academic Success

Abdellah Ibrahim Mohammed Elfeky,

Ali Hassan Najmi,

Marwa Yasien Helmy Elbyaly

2024

EPI

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In education, big data utilization has offered significant opportunities to support students in the era of e-learning platforms. The present research investigated the impact of big data utilization on learning management systems (LMSs) in the context of developing students' academic success. The sample consisted of 120 students of the third level of the Department of Education and Psychology in Najran University, Saudi Arabia. Participants were divided into two equal experimental groups, The first experimental group learned through using reports derived from big data analysis while studying "Research Methods" course via Blackboard; while the second experimental group studied the same course via Blackboard only, without any data analytics intervention. An achievement test, at the end of the course, was administered on both groups to assess the level of academic success. Findings revealed that integration of big data reports as intervention via Blackboard significantly enhanced learner's academic success.

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Section: Effects Of Bigmentioning

confidence: 99%

Section: Effects Of Bigmentioning

confidence: 99%