Applying the significant-digit law to simplify grading of chemical engineering students design projects

References

• Azevedo, C. D. S., R. F. Goncalves, V. L. Gava, and M. D. M. Spinola. 2021. “A Benford’s Law Based Methodology for Fraud Detection in Social Welfare Programs: Bolsa Familia Analysis Physica a.” Statistical Mechanics and Its Applications 567:125626. https://doi.org/10.1016/j.physa.2020.125626.
   Web of Science ®Google Scholar
• Benford, F. 1938. “The Law of Anomalous Numbers.” Proceedings of the American Philosophical Society 78 (4): 551–572.
   Google Scholar
• Bishop, W., O. Nespoli, W. Parker, Rubrics for Accreditation and Outcomes Assessment in Engineering Capstone Projects, in: Proceedings of the Canadian Engineering Association Conference, Manitoba, 2012.
   Google Scholar
• Cerioli, A., L. Barabesi, A. Cerasa, D. Perrotta, and D. Perrotta. 2018. “Newcomb–Benford Law and the Detection of Frauds in International Trade.” Phyiscal Sciences 116 (1): 106–115. https://doi.org/10.1073/pnas.1806617115.
   Google Scholar
• Chiu, W.-K. 2021. “Pedagogy of Emerging Technologies in Chemical Education During the Era of Digitalization and Artifical Intelligence: A Systematic Review, Educ.” Science 11 (11): 709. https://doi.org/10.3390/educsci11110709.
   Google Scholar
• de las Heras, S. C., C. L. Gargalo, C. L. Weitze, S. S. Mansouri, K. V. Gernaey, and U. Kruhne. 2021. “A Framework for the Development of Pedagogical Process Simulators (P2si) Using Explanatory Models and Gamification.” Computers & Chemical Engineering 151:107350. https://doi.org/10.1016/j.compchemeng.2021.107350.
   Web of Science ®Google Scholar
• Diekmann, A. 2007. “Not the First Digit! Using Benford’s Law to Detect Fraudulent Scientific Data.” Journal of Applied Statistics 34 (3): 321–329. https://doi.org/10.1080/02664760601004940.
   Web of Science ®Google Scholar
• Drake, P. D., and M. J. Nigrini. 2000. “Computer Assisted Analytical Procedures Using Benford’s Law.” Journal of Accounting Education 18:127–146. https://doi.org/10.1016/S0748-5751(00)00008-7.
   Google Scholar
• Durtschi, C., W. Hillison, and C. Pacini. 2004. “The Effective Use of Benford’s Law to Assist in Detecting Fraud in Accounting Data.” Journal of Forensic Accounting 5:17–34.
   Google Scholar
• Feise, H. J., and E. Schaer. 2021. “Mastering Digitized Chemical Engineering, Edu.” Chemical Engineering 34:78–86. https://doi.org/10.1016/j.ece.2020.11.011.
   Google Scholar
• Flach, L. 1999. “Experience with Teaching Design: Do We Blend the Old with the New?” Chemical Engineering Education 33 (2): 158–161.
   Google Scholar
• Foltynek, T., D. Dlabolova, A. Anohina-Naumeca, S. Razi, J. Kravjar, L. Kamzola, J. Guerrero-Dib, O. Celik, and D. Weber-Wulff. 2020. “Testing of Support Tools for Plariarism Detection.” International Journal of Educational Technology in Higher Education 17 (1): 46. https://doi.org/10.1186/s41239-020-00192-4.
   Web of Science ®Google Scholar
• Geyer, C. L., and P. P. Williamson. 2007. “Detecting Fraud in Data Sets Using Benford’s Law.” Communications in Statistics-Simulation and Computation 33:229–246. https://doi.org/10.1081/SAC-120028442.
   Google Scholar
• Hill, T. P. 1995. “A Statistical Derivation of the Significant Digit Law.” Statistical Science 10 (4): 354–363. https://doi.org/10.1214/ss/1177009869.
   Web of Science ®Google Scholar
• Horton, J., D. K. Kumar, and A. Wood. 2020. “Detecting Academic Fraud Using Benford Law: The Case of Professor James Hunton.” Research Policy 49 (8): 104084. https://doi.org/10.1016/j.respol.2020.104084.
   Web of Science ®Google Scholar
• Kentish, S. E., and D. C. Shallcross. 2006. “An International Comparison of Final-Year Design Project Curricula.” Chemical Engineering Education 40 (4): 275–280.
   Google Scholar
• Kossler, W., H.-J. Lenz, and X. D. Wang. 2021. “Is the Benford Law Useful for Data Quality Assessment?” In Frontiers in Statistical Quality Control 13, edited by S. Knoth and W. Schmid, 391–406. Cham, Switzerland: Springer International Publishing. https://doi.org/10.1007/978-3-030-67856-2_22.
   Google Scholar
• Long, A., O. Pavlova, O. Pechinkina, L. Clark, First Significant Digit Law and Fraud Detection in Factoring Data, in: Proceedings of Information Systems Architecture and Technology, Wroclaw, Poland, 2004.
   Google Scholar
• Naik, R. R., M. B. Landge, and C. N. Mahender. 2015. “A Review on Plagiarism Detection Tools.” International Journal of Computer Applications 125 (11): 16–22.
   Google Scholar
• Newcomb, S. 1881. “Note of the Frequency of Use of the Different Digits in Natural Numbers.” American Journal of Mathematics 4 (1/4): 39–40. https://doi.org/10.2307/2369148.
   Google Scholar
• Nigrini, M. J., and L. J. Mittermaier. 1997. “The Use of Benford’s Law as an Aid in Analytical Procedures.” Auditing: A Journal of Practice & Theory 16 (2): 52–67.
   Web of Science ®Google Scholar
• Pekdemir, T., K. Murray, and R. Deighton. 2006. “A New Approach to the Final Year Design Projects.” Education for Chemical Engineers 1 (1): 90–94. https://doi.org/10.1205/ece06003.
   Google Scholar
• Scholes, C. A. 2021. “Chemical Engineering Design Project Undertaken Through Remote Learning, Edu.” Chemical Engineering 36:65–72. https://doi.org/10.1016/j.ece.2021.03.003.
   Google Scholar
• Scholes, C. A., and G. Hu. 2021. “Experiencing Process Plant Conditions Through a Pilot Plant Based Laboratory Class.” Chemical Engineering Education 55 (1): 24–30. https://doi.org/10.18260/2-1-370.660-120870.
   Google Scholar
• Shi, J., M. Ausloos, and T. Zhu. 2018. “Benford’s Law First Significant Digit and Distribution Distances for Testing the Reliability of Financial Reports in Developing Countries.” Physica A: Statistical Mechanics and Its Applications 492:878–888. https://doi.org/10.1016/j.physa.2017.11.017.
   Web of Science ®Google Scholar
• Todter, K.-H. 2019. “Benford’s Law as an Indicator of Fraud in Economics.” German Economic Review 10 (3): 475.
   Google Scholar
• Varian, H. R. 1972. “Benford’s Law.” The American Statistician 26:65–66.
   Google Scholar
• Wong, K. W. W., and J. P. Barford. 2010. “Teaching Excel VBA as a Problem Solving Tool for Chemical Engineering Core Courses.” Education for Chemical Engineers 5 (4): e72–e77. https://doi.org/10.1016/j.ece.2010.07.002.
   Google Scholar