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Automated summary evaluation with inbuilt rubric method: An alternative to constructed responses and multiple-choice tests assessments
Automated summary evaluation is proposed as an alternative to rubrics and multiple-choice tests in knowledge assessment. Inbuilt rubric is a recent Latent Semantic Analysis (LSA) method that implements rubrics in an artificially-generated semantic space. It was compared with classical LSA's cos...
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Published in: | Assessment and evaluation in higher education 2019-10, Vol.44 (7), p.1029-1041 |
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container_title | Assessment and evaluation in higher education |
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creator | Martínez-Huertas, José Á. Jastrzebska, Olga Olmos, Ricardo León, José A. |
description | Automated summary evaluation is proposed as an alternative to rubrics and multiple-choice tests in knowledge assessment. Inbuilt rubric is a recent Latent Semantic Analysis (LSA) method that implements rubrics in an artificially-generated semantic space. It was compared with classical LSA's cosine-based methods assessing knowledge in a within-subjects design regarding two validation sources: a comparison with the results of rubric scores and multiple-choice tests, and the sensitivity of predicting the academic level of the test-taker. Results showed a higher reliability for inbuilt rubric (from Pearson correlation coefficient .81 to .49) over the classical LSA method (from .61 to .34), and a higher sensitivity using binary logistic regressions and effect sizes to predict academic level. It is concluded that inbuilt rubric has a qualitatively higher reliability and validity than classical LSA methods in a way that is complementary to models based on semantic networks. Thus, it is concluded that new automated summary evaluation approaches such as the inbuilt rubric method can be practical in terms of reliability and efficiency, and, thus, they can offer an affordable and valuable form of knowledge assessment in different educational levels. |
doi_str_mv | 10.1080/02602938.2019.1570079 |
format | article |
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Jastrzebska, Olga ; Olmos, Ricardo ; León, José A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-e2f25c6f656fba5a22d9bf48cb4260dec097bfe09f422fe96df3079b5914aaee3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Alternative Assessment</topic><topic>automated summary evalution</topic><topic>Automation</topic><topic>Correlation</topic><topic>Educational attainment</topic><topic>Educational tests & measurements</topic><topic>Effect Size</topic><topic>Foreign Countries</topic><topic>High School Students</topic><topic>inbuilt rubric</topic><topic>Measurement Techniques</topic><topic>Multiple Choice Tests</topic><topic>Reading Comprehension</topic><topic>Reading Tests</topic><topic>rubrics</topic><topic>Scoring Rubrics</topic><topic>Semantic analysis</topic><topic>Semantics</topic><topic>Semiotics</topic><topic>Student Evaluation</topic><topic>summaries</topic><topic>Test Reliability</topic><topic>Test Validity</topic><topic>Undergraduate Students</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Martínez-Huertas, José Á.</creatorcontrib><creatorcontrib>Jastrzebska, Olga</creatorcontrib><creatorcontrib>Olmos, Ricardo</creatorcontrib><creatorcontrib>León, José A.</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><jtitle>Assessment and evaluation in higher education</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Martínez-Huertas, José Á.</au><au>Jastrzebska, Olga</au><au>Olmos, Ricardo</au><au>León, José A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1213019</ericid><atitle>Automated summary evaluation with inbuilt rubric method: An alternative to constructed responses and multiple-choice tests assessments</atitle><jtitle>Assessment and evaluation in higher education</jtitle><date>2019-10-03</date><risdate>2019</risdate><volume>44</volume><issue>7</issue><spage>1029</spage><epage>1041</epage><pages>1029-1041</pages><issn>0260-2938</issn><eissn>1469-297X</eissn><abstract>Automated summary evaluation is proposed as an alternative to rubrics and multiple-choice tests in knowledge assessment. Inbuilt rubric is a recent Latent Semantic Analysis (LSA) method that implements rubrics in an artificially-generated semantic space. It was compared with classical LSA's cosine-based methods assessing knowledge in a within-subjects design regarding two validation sources: a comparison with the results of rubric scores and multiple-choice tests, and the sensitivity of predicting the academic level of the test-taker. Results showed a higher reliability for inbuilt rubric (from Pearson correlation coefficient .81 to .49) over the classical LSA method (from .61 to .34), and a higher sensitivity using binary logistic regressions and effect sizes to predict academic level. It is concluded that inbuilt rubric has a qualitatively higher reliability and validity than classical LSA methods in a way that is complementary to models based on semantic networks. 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subjects | Alternative Assessment automated summary evalution Automation Correlation Educational attainment Educational tests & measurements Effect Size Foreign Countries High School Students inbuilt rubric Measurement Techniques Multiple Choice Tests Reading Comprehension Reading Tests rubrics Scoring Rubrics Semantic analysis Semantics Semiotics Student Evaluation summaries Test Reliability Test Validity Undergraduate Students |
title | Automated summary evaluation with inbuilt rubric method: An alternative to constructed responses and multiple-choice tests assessments |
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