Accurate Assessment via Process Data
Fuente:
arXiv
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| Autori principali: | , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2021
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| Soggetti: | |
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| _version_ | 1866912178660966400 |
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| author | Zhang, Susu Wang, Zhi Qi, Jitong Liu, Jingchen Ying, Zhiliang |
| author_facet | Zhang, Susu Wang, Zhi Qi, Jitong Liu, Jingchen Ying, Zhiliang |
| contents | Accurate assessment of students' ability is the key task of a test. Assessments based on final responses are the standard. As the infrastructure advances, substantially more information is observed. One of such instances is the process data that is collected by computer-based interactive items, which contain a student's detailed interactive processes. In this paper, we show both theoretically and empirically that appropriately including such information in the assessment will substantially improve relevant assessment precision. The precision is measured empirically by out-of-sample test reliability. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2103_15034 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Accurate Assessment via Process Data Zhang, Susu Wang, Zhi Qi, Jitong Liu, Jingchen Ying, Zhiliang Applications Accurate assessment of students' ability is the key task of a test. Assessments based on final responses are the standard. As the infrastructure advances, substantially more information is observed. One of such instances is the process data that is collected by computer-based interactive items, which contain a student's detailed interactive processes. In this paper, we show both theoretically and empirically that appropriately including such information in the assessment will substantially improve relevant assessment precision. The precision is measured empirically by out-of-sample test reliability. |
| title | Accurate Assessment via Process Data |
| topic | Applications |
| url | https://arxiv.org/abs/2103.15034 |