Related Experiment Video
Updated: Feb 28, 2026

10:58
Multimedia Battery for Assessment of Cognitive and Basic Skills in Mathematics BM-PROMA
Published on: August 28, 2021
5.0K
Scoring Originality in Mathematical Problem-Solving: Comparison of Criterion-Referenced Scoring with Alternate
A Kadir Bahar1, Iclal Can2, C June Maker3
1Department of Educational Psychology, College of Education, University of Georgia, Athens, GA 30602, USA.
Behavioral Sciences (Basel, Switzerland)
|February 27, 2026
Summary
This study compared different scoring methods for originality in math tasks. Criterion-referenced scoring aligned well with other methods, impacting how we assess students' creative mathematical thinking.
Area of Science:
- Educational Psychology
- Cognitive Science
- Mathematics Education
Background:
- Assessing creativity in education is challenging.
- Originality and fluency are key components of creativity.
- Different scoring methods may yield varied results.
Purpose of the Study:
- To compare criterion-referenced originality scores with sample-based and expert-referenced scores in mathematical problem-solving.
- To analyze how different scoring systems describe the relationship between originality and fluency.
- To inform debates on creativity and educational assessment.
Main Methods:
- Psychometric comparison of three scoring approaches: criterion-referenced, sample-based, and expert-referenced.
- Data collected from 520 elementary school students in New South Wales, Australia.
- Analysis of scoring system descriptions of originality-fluency relationships.
Main Results:
- Criterion-referenced originality scores showed a strong relationship with sample-based and expert-referenced scores.
- The study identified how different scoring methods influence the interpretation of originality and fluency.
- Implications for understanding students' mathematical creativity based on scoring methods.
Conclusions:
- Criterion-referenced scoring is a psychometrically sound method for assessing originality in mathematics.
- Scoring methods significantly impact the interpretation of creative mathematical thinking.
- Findings support the development of fair and meaningful assessment practices for creativity.
Keywords:
creativitycreativity assessmentmathematical creativityoriginalityscoring originalityteaching for creativityMore Related Videos
Related Concept Videos
Review and Preview
8.6K
In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Percentiles are a type of fractile that partition data into...
8.6K
Measures of Intelligence
8.7K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
8.7K
Reliability and Validity
14.2K
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
14.2K
Ratio Level of Measurement
21.9K
The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated....
21.9K
Binet's Contribution to Measures of Intelligence
1.8K
Alfred Binet, along with his student Théophile Simon, was tasked by the French Ministry of Education in 1904 to create a method for identifying students who struggled to learn through conventional classroom instruction. This initiative aimed to address overcrowding by placing such students in specialized schools. Binet and Simon developed an intelligence test comprising 30 tasks, ranging from simple commands, like touching one's nose or ear, to more complex tasks, such as drawing...
1.8K
z Scores and Unusual Values
11.3K
The z score is one of the three measures of relative standing. It describes the location of a value in a dataset relative to the mean. z scores are obtained after the standardization of the values in a dataset. The z score for the mean is 0.
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
This score indicates how far a value is from the mean in terms of standard deviation. For example, if a data value has a z score of +1, the researcher can infer that the particular data value is one standard deviation above the mean. If another data...
11.3K

