References

Anderson, L. W., & Krathwohl, D. R. (Eds.). (2001). A taxonomy for learning, teaching, and assessing: A revision of bloom’s taxonomy of educational objectives. Longman.
Ausubel, D. P. (1968). Educational psychology: A cognitive view. Holt, Rinehart; Winston.
Bloom, B. S., Engelhart, M. D., Furst, E. J., Hill, W. H., & Krathwohl, D. R. (1956). Taxonomy of educational objectives, handbook i: The cognitive domain (B. S. Bloom, Ed.). David McKay Company.
Cochran, W. G. (1950). The Comparison of Percentages in Matched Samples. Biometrika, 37(3-4), 256–266. https://doi.org/10.2307/2332378
Dale, E. (1946). Audio-visual methods in teaching. Dryden Press.
Davenport, T. H. (2013). Analytics 3.0. Harvard Business Review, 91(12), 64–72.
Evans, J. R. (2020). Business Analytics: Methods, Models, and Decisions (3rd ed.). Pearson.
Fisher, R. A. (1925). Statistical Methods for Research Workers. Oliver; Boyd.
Friedman, M. (1937). The Use of Ranks to Avoid the Assumption of Normality Implicit in the Analysis of Variance. Journal of the American Statistical Association, 32(200), 675–701. https://doi.org/10.1080/01621459.1937.10503522
Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. Basic Books.
Glaser, R. (1962). Psychology and instructional technology. In R. Glaser (Ed.), Training research and education (pp. 1–30). University of Pittsburgh Press.
Government of India. (2016). The rights of persons with disabilities act, 2016. https://www.indiacode.nic.in/handle/123456789/2155
Harris, C. R., Millman, K. J., van der Walt, S. J., Gommers, R., Virtanen, P., Cournapeau, D., & Oliphant, T. E. (2020). Array programming with NumPy. Nature, 585(7825), 357–362. https://doi.org/10.1038/s41586-020-2649-2
Hase, S., & Kenyon, C. (2000). From andragogy to heutagogy. UltiBASE In-Site. http://pandora.nla.gov.au/nph-wb/20010220130000/http://ultibase.rmit.edu.au/Articles/dec00/hase2.htm
Jackson, P. W. (1968). Life in classrooms. Holt, Rinehart; Winston.
Knowles, M. S. (1973). The adult learner: A neglected species. Gulf Publishing Company.
Kruskal, W. H., & Wallis, W. A. (1952). Use of Ranks in One-Criterion Variance Analysis. Journal of the American Statistical Association, 47(260), 583–621. https://doi.org/10.1080/01621459.1952.10483441
Mann, H. B., & Whitney, D. R. (1947). On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other. Annals of Mathematical Statistics, 18(1), 50–60. https://doi.org/10.1214/aoms/1177730491
McKinney, W. (2010). Data Structures for Statistical Computing in Python. Proceedings of the 9th Python in Science Conference, 56–61. https://doi.org/10.25080/Majora-92bf1922-00a
McNemar, Q. (1947). Note on the Sampling Error of the Difference between Correlated Proportions or Percentages. Psychometrika, 12(2), 153–157. https://doi.org/10.1007/BF02295996
Ministry of Education, Government of India. (2020). National education policy 2020. https://www.education.gov.in/sites/upload_files/mhrd/files/NEP_Final_English_0.pdf
Pearson, K. (1895). Note on Regression and Inheritance in the Case of Two Parents. Proceedings of the Royal Society of London, 58, 240–242. https://doi.org/10.1098/rspl.1895.0041
Pearson, K. (1900). On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling. The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science, 50(302), 157–175. https://doi.org/10.1080/14786440009463897
Pearson, K. (1905). Skew Variation, a Rejoinder. Biometrika, 4(1-2), 169–212. https://doi.org/10.2307/2331536
R Core Team. (2024). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. https://www.R-project.org/
Spearman, C. (1904). The Proof and Measurement of Association between Two Things. The American Journal of Psychology, 15(1), 72–101. https://doi.org/10.2307/1412159
Student. (1908). The Probable Error of a Mean. Biometrika, 6(1), 1–25. https://doi.org/10.1093/biomet/6.1.1
Tukey, J. W. (1949). Comparing Individual Means in the Analysis of Variance. Biometrics, 5(2), 99–114. https://doi.org/10.2307/3001913
Tukey, J. W. (1977). Exploratory Data Analysis. Addison-Wesley.
Virtanen, P., Gommers, R., Oliphant, T. E., Haberland, M., Reddy, T., Cournapeau, D., Burovski, E., Peterson, P., Weckesser, W., Bright, J., van der Walt, S. J., Brett, M., Wilson, J., Millman, K. J., Mayorov, N., Nelson, A. R. J., Jones, E., Kern, R., Larson, E., … van Mulbregt, P. (2020). SciPy 1.0: Fundamental algorithms for scientific computing in Python. Nature Methods, 17(3), 261–272. https://doi.org/10.1038/s41592-019-0686-2
Walberg, H. J. (1981). A psychological theory of educational productivity.
Wilcoxon, F. (1945). Individual Comparisons by Ranking Methods. Biometrics Bulletin, 1(6), 80–83. https://doi.org/10.2307/3001968
Yule, G. U. (1912). On the Methods of Measuring Association between Two Attributes. Journal of the Royal Statistical Society, 75(6), 579–652. https://doi.org/10.2307/2340126