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              <text>Data science: simulating and development of outcome based teaching method</text>
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              <text>The educational researcher has a wealth of options to apply analytics to extract meaningful insights to improve teaching and learning due to the growing availability of educational data. Teaching analytics, in contrast to learning analytics, examines the quality of the classroom environment and the efficacy of the instructional methods used to improve student learning. To investigate the potential of analytics in the classroom without jeopardizing students' privacy, we suggest a data science strategy that uses simulated data using pseudocode to build test cases for educational endeavors. Hopefully, this method's findings will contribute to creating a teaching outcome model (TOM) that can be used to motivate and evaluate educator performance. In Splunk, the study's simulated methodology was carried out. Splunk is a real-time Big Data dashboard that can gather and analyze massive amounts of machine-generated data. We provide the findings as a set of visual dashboards depicting recurring themes and developments in classroom effectiveness. Our study's overarching goal is to help bolster a culture of data-informed decision-making at academic institutions by applying a scientific method to educational data.  2023 IEEE.</text>
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              <text>Sridhar K.; Shinde G.; Chaurasia A.; Rani N.R.A.</text>
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              <text>Proceedings of the International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering, ICECONF 2023</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICECONF57129.2023.10083713" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICECONF57129.2023.10083713&lt;/a&gt;
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              <text>ISBN: 979-835033435-7</text>
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              <text>English</text>
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              <text>Sridhar K., Department of Mechanical Engineering, Lendi Institute of Engineering and Technology, Andhra Pradesh, Vizianagaram, India; Shinde G., Department of Management, H K Institute of Management Studies and Research, Maharashtra, Mumbai, India; Chaurasia A., School of Commerce Finance and Accounting, Christ Demd to Be University Ncr Campus, UP, Gaziabad, India; Rani N.R.A., Department of Civil Engineering, Alliance College of Engineering and Design, Alliance University, India</text>
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