Manuscript Number : SHISRRJ24722

Measuring the Influence of Student Assessments on Learning Outcomes in Machine Learning

Authors(2) :-B. Rupadevi, M. Pandimeena

A major difficulty in educational research is determining the pedagogical impact of student evaluations on teaching effectiveness and learning outcomes. In this work, we provide a novel method for assessing how student feedback affects pedagogy and learning outcomes by fusing statistical analysis and text mining tools. Using natural language processing methods, we extract pertinent textual data from student assessments and then use it to find important themes, feelings, and patterns in the feedback corpus. We then use statistical techniques to measure the correlation between the themes that have been found and different educational indicators including student performance, contentment, and engagement. Our method helps educators and policy make understand the impact of teaching strategies on student learning experiences and their success by evaluating large-scale datasets of student evaluations collected over numerous semesters. We show the effectiveness and usefulness of our text mining and statistical methodology for evaluating the pedagogical impact of student evaluation in education through empirical validation and case studies. This project adds to the continuing conversation about educational evaluation and offers insightful suggestions for raising instructional standards and boosting student learning.

Authors and Affiliations

B. Rupadevi
Associate Professor, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India
M. Pandimeena
Post Graduate, Department of MCA, Annamacharya Institute of Technology & Sciences, Tirupati, Andhra Pradesh, India

Text Mining, Statistics, Pedagogical Impact, Student Evaluation, Teaching Effectiveness and Learning Outcomes.

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Publication Details

Published in : Volume 7 | Issue 2 | March-April 2024
Date of Publication : 2024-04-04
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 07-13
Manuscript Number : SHISRRJ24722
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

B. Rupadevi, M. Pandimeena, "Measuring the Influence of Student Assessments on Learning Outcomes in Machine Learning", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 7, Issue 2, pp.07-13, March-April.2024
URL : https://shisrrj.com/SHISRRJ24722

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