International Journal of Social Science & Economic Research
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Title:
Cognitive Structure Analysis: A Technique For Assessing What Students Know, Not Just How They Perform

Authors:
John Leddo and Ayat Danyal

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John Leddo and Ayat Danyal
MyEdMaster, LLC

MLA 8
Leddo, John, and Ayat Danyal. "Cognitive Structure Analysis: A Technique For Assessing What Students Know, Not Just How They Perform." Int. j. of Social Science and Economic Research, vol. 9, no. 6, June 2024, pp. 1937-1949, doi.org/10.46609/IJSSER.2024.v09i06.022. Accessed June 2024.
APA 6
Leddo, J., & Danyal, A. (2024, June). Cognitive Structure Analysis: A Technique For Assessing What Students Know, Not Just How They Perform. Int. j. of Social Science and Economic Research, 9(6), 1937-1949. Retrieved from https://doi.org/10.46609/IJSSER.2024.v09i06.022
Chicago
Leddo, John, and Ayat Danyal. "Cognitive Structure Analysis: A Technique For Assessing What Students Know, Not Just How They Perform." Int. j. of Social Science and Economic Research 9, no. 6 (June 2024), 1937-1949. Accessed June, 2024. https://doi.org/10.46609/IJSSER.2024.v09i06.022.

References

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ABSTRACT:
Assessment has been a key part of education, playing the role of determining how much students have learned. Traditionally, assessments have focused on whether students give the correct answer to problems, implying that the number of correctly-answered test items is a valid measure of how much students know. Unfortunately, the focus on correct answers has also resulted in neglecting the potential ability of assessments to provide diagnostic feedback to educators as to what concepts students have mastered and where the gaps in their knowledge are,thus potentially informing the day-to-day teaching process. The present paper describes an assessment technique called Cognitive Structure Analysis that is derived from John Leddo’s integrated knowledge structure framework (Leddo et al., 1990) that combines several prominent knowledge representation frameworks in cognitive psychology. Using a Google Form, students from Pakistan were queried on four types of knowledge considered the basis of mastery of Algebra 1 concepts: factual, procedural, strategic, and rationale. From students’ responses to these queries, measures of each type of knowledge and a combined knowledge score were created. Students were also given problems to solve. Correlations between each knowledge component score and problem-solving performance were high and the correlation between overall CSA-assessed knowledge and problem-solving performance was .86. Results suggest that CSA can be both easily implemented and highly diagnostic of student learning needs. Future research can investigate CSA’s robustness across other subjects and whether incorporating CSA as part of day-to-day classroom instruction can lead to higher student achievement.

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