Modification of scoring scheme in Physics Olympiad and its possible utilization in analysis of assessment

Hanáková, Monika; Teleki, Aba

doi:10.1063/1.4974382

Cited by 1 publication

(2 citation statements)

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“…Quantitative results of characteristics of the analysis for four physics problems solved in D and E categories are presented in Figure 1 and Figure 2, and in more detail, can be found in Hanáková and Teleki (2017). The PhO participants were ranked according to their original overall scores, with a score of one denoting the best.…”

Section: Resultsmentioning

confidence: 99%

“…In the case of the PhO, this influence was relatively small due to the professionality of authors and evaluators. Mathematical statistical tools identified strong evidence of the limitations in the author's scoring scheme, and in some cases, probable anomalies in the assessment of the evaluators (Hanáková, & Teleki, 2017). The basic concept was that the random vector, , as an independent variable provided objective scoring for the PhO participants with the same knowledge or skills.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Modification of Scoring Schemes Using Decomposition Procedures on Statistical Data

Hanáková

Teleki

Lacsný

2017

CBUP

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This paper presents a method of modifying original scores to obtain independent random variables. It includes an analysis of the consequences of using such a method. The paper also describes the mathematical background of the method in detail and discusses the possible use of the method in identifying student or participant assessments that are over-or underrated. The method distinguishes performances of students and assesses their written solutions using a scoring scheme. In this study, it is used to analyze the competence of participants in the Physics Olympiad competition. Scoring schemes that are appropriately set by an author for a physics problem present the participant scores as independent random variables. The assessment solutions are analyzed using analytical tools (such as covariant matrix) for the dependence of random variables. The evaluators of the participants' solutions were highly qualified professionals. Nevertheless, the study found statistical evidence of minor distortion in the evaluations, though this was found to only marginally affected the ranking of participants.

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Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%