An Analysis Of The Development Of An Education Management Information System From A Sensemaking Perspective And The Use Of Quantitative Methods To Evaluate Educational Data Sets | Journal of Neonatal Surgery 2024

Author(s)

Li Yongmao

Oyyappan Duraipandi

Abstract

Educational data sets are analyzed quantitatively in this work. Using sensemaking, it examines the "Education Management Information System (EMIS)" development process and its effects. Improving data utilisation and EMISs' ability to back up educational decision-making is what prompted this research. Since EMISs impact the capacities of several stakeholders, researchers carefully analyze their design and operation throughout their manufacturing process. Educators, administrators, and legislators are all considered stakeholders. Using a sensemaking method, researcher assess how the EMIS has affected the stakeholders' ability to understand and apply the data for strategic purposes. In order to do this, researchers will have to observe user behavior and assess the system's ability to support data-driven insights or judgments. At the same time, the research analyzes educational data sets administered by the EMIS using quantitative methodologies. Important parts of this process include checking the data for correctness, completeness, and usability and figuring out how these quantitative analyses help with bettering educational results and policy choices. Important performance measures include data relevance, data integrity, and the effect of data-driven choices on pedagogical approaches. The results should provide recommendations on how to enhance the design of EMIS in order to help students become more comfortable with quantitative approaches and enhance their sensemaking abilities in the classroom. The main goal of the project is to bring together different viewpoints in order to promote data-informed and more effective methods of school administration. Ultimately, this ought to result in improved educational achievements.

Publication Details

Page(s) 117-122

DOI DOI not available

Published Journal: Journal of Neonatal Surgery, Volume: 13, Issue: 0, Year: 2024

Keywords

Educational Administration Electronic Management Information Systems EMIS Data Sets for Education Sensemaking Framework

References

Gartner. ,Analysts) Howson C.,J. Richardson R.,Sallam A.,Kronz A. .2019 .Magic Quadrant for Analytics and Business Intelligence Platforms. Gartner. February 11, : .

Lemay D. J.,Baek C.,Doleck T. .2021 .Comparison of learning analytics and educational data mining: A topic modeling approach. Computers and Education: Artificial Intelligence, 2 : 100016.

Ligon G. D.,Swafford B. S. .2018 .The role of data standards in data driven decision support.. , : .

Waldner M.,Geymayer T.,Schmalstieg D.,Sedlmair M. .2021 .Linking unstructured evidence to structured observations. Information Visualization, 20(1) : 47-65.

Whitelock-Wainwright A.,Tsai Y.,Drachsler H.,Scheffel H.,Gašević D. .2021 .An exploratory latent class analysis of student expectations towards learning analytics services. The Internet and Higher Education, 51 : 100818.

Zhang P.,Soergel D. .2020 .Cognitive mechanisms in sensemaking: A qualitative user study. Journal of the Association for Information Science and Technology, 71(2) : 158-171.

Zhong Z.,Hansen P. .2023 .A systematic review of information practices research. Journal of Documentation, 79(1) : 245-267.

Zontek Z.,Lipianin-Zontek E. .2021 .Knowledge management and its transfer in diverse voluntary groups. In Proceedings of the European Conference on Knowledge Management, : 874-881.

Zwaan R. A. .2021 .Two challenges to “embodied cognition” research and how to overcome them. Journal of Cognition, 4(1) : 14.

Citations

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