Using Bayesian Networks for Cognitive Diagnosis Assessment of Upper-Secondary School Students Understanding in Redox Reaction
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| Title: | Using Bayesian Networks for Cognitive Diagnosis Assessment of Upper-Secondary School Students Understanding in Redox Reaction |
|---|---|
| Language: | English |
| Authors: | Min Qi (ORCID |
| Source: | Journal of Baltic Science Education. 2024 23(6):1243-1265. |
| Availability: | Scientia Socialis Ltd. 29 K. Donelaicio Street, LT-78115 Siauliai, Republic of Lithuania. e-mail: scientia@scientiasocialis.lt; e-mail: mail.jbse@gmail.com; Web site: http://www.scientiasocialis.lt/jbse/ |
| Peer Reviewed: | Y |
| Page Count: | 23 |
| Publication Date: | 2024 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Secondary Education High Schools Grade 11 Grade 12 |
| Descriptors: | Bayesian Statistics, Cognitive Measurement, Diagnostic Tests, Cognitive Structures, Chemistry, Scientific Concepts, Knowledge Level, High School Students, Grade 11, Grade 12, Foreign Countries, Age Differences |
| Geographic Terms: | China |
| ISSN: | 1648-3898 2538-7138 |
| Abstract: | The redox reaction is a core concept of upper-secondary school chemistry curriculum. Accurate diagnosis of students' conceptual understanding of the redox reaction from a cognitive structure perspective is critical for enhancing their understanding of chemical concepts. This study utilized Bayesian networks to investigate the cognitive structures of Chinese students regarding the redox reaction. A total of 409 upper-secondary school students participated, with 227 in 11th grade and 182 in 12th grade. Seven cognitive attributes related to the redox reaction were identified, and their hierarchical relationships were mapped. The research process of cognitive diagnosis assessment of redox reaction based on Bayesian network was developed. The results indicated that Bayesian networks can effectively assess students' cognitive structures of the redox reaction. Key attributes identified in students' cognitive structures were "electron transfer", "oxidation reaction/reduction reaction" and "oxidability/reducibility". Furthermore, a comparison of the cognitive structures between 11th and 12th graders showed that 12th graders had a more advanced understanding with fewer conceptual gaps, while 11th graders demonstrated less developed cognitive pathways, which may be attributed to a lack of deep conceptual understanding. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1456311 |
| Database: | ERIC |
| FullText | Text: Availability: 0 CustomLinks: – Url: https://eric.ed.gov/contentdelivery/servlet/ERICServlet?accno=EJ1456311 Name: ERIC Full Text Category: fullText Text: Full Text from ERIC |
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| Header | DbId: eric DbLabel: ERIC An: EJ1456311 AccessLevel: 3 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eric&AN=EJ1456311 |
| RecordInfo | BibRecord: BibEntity: Languages: – Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 1243 Subjects: – SubjectFull: Bayesian Statistics Type: general – SubjectFull: Cognitive Measurement Type: general – SubjectFull: Diagnostic Tests Type: general – SubjectFull: Cognitive Structures Type: general – SubjectFull: Chemistry Type: general – SubjectFull: Scientific Concepts Type: general – SubjectFull: Knowledge Level Type: general – SubjectFull: High School Students Type: general – SubjectFull: Grade 11 Type: general – SubjectFull: Grade 12 Type: general – SubjectFull: Foreign Countries Type: general – SubjectFull: Age Differences Type: general – SubjectFull: China Type: general Titles: – TitleFull: Using Bayesian Networks for Cognitive Diagnosis Assessment of Upper-Secondary School Students Understanding in Redox Reaction Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Min Qi – PersonEntity: Name: NameFull: Xinyang Hu – PersonEntity: Name: NameFull: Hualin Bi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 1648-3898 – Type: issn-electronic Value: 2538-7138 Numbering: – Type: volume Value: 23 – Type: issue Value: 6 Titles: – TitleFull: Journal of Baltic Science Education Type: main |
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