Design, development, and evaluation of the organic chemistry representational competence assessment (ORCA)†

IF 2.6 2区 教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH Chemistry Education Research and Practice Pub Date : 2024-11-04 DOI:10.1039/D3RP00188A
Lyniesha Ward, Fridah Rotich, Jeffrey R. Raker, Regis Komperda, Sachin Nedungadi and Maia Popova
{"title":"Design, development, and evaluation of the organic chemistry representational competence assessment (ORCA)†","authors":"Lyniesha Ward, Fridah Rotich, Jeffrey R. Raker, Regis Komperda, Sachin Nedungadi and Maia Popova","doi":"10.1039/D3RP00188A","DOIUrl":null,"url":null,"abstract":"<p >This paper describes the design and evaluation of the <img>rganic chemistry <img>epresentational <img>ompetence <img>ssessment (ORCA). Grounded in Kozma and Russell's representational competence framework, the ORCA measures the learner's ability to <em>interpret</em>, <em>translate</em>, and <em>use</em> six commonly used representations of molecular structure (condensed structures, Lewis structures, skeletal structures, wedge-dash diagrams, Newman projections, and chair conformations). Semi-structured interviews with 38 first-semester organic chemistry learners informed the development of the ORCA items. The ORCA was developed and refined through three pilot administrations involving a total of 3477 first-semester organic chemistry students from multiple institutions. The final version of the ORCA was completed by 1494 students across five institutions. Various analyses provided evidence for the validity and reliability of the data generated by the assessment. Both one-factor and three-factor correlated structures were explored <em>via</em> confirmatory factor analysis. The one-factor model better captured the underlying structure of the data, which suggests that representational competence is better evaluated as a unified construct rather than as distinct, separate skills. The ORCA data reveal that the representational competence skills are interconnected and should consistently be reinforced throughout the organic chemistry course.</p>","PeriodicalId":69,"journal":{"name":"Chemistry Education Research and Practice","volume":" 1","pages":" 244-258"},"PeriodicalIF":2.6000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chemistry Education Research and Practice","FirstCategoryId":"95","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2025/rp/d3rp00188a","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0

Abstract

This paper describes the design and evaluation of the rganic chemistry epresentational ompetence ssessment (ORCA). Grounded in Kozma and Russell's representational competence framework, the ORCA measures the learner's ability to interpret, translate, and use six commonly used representations of molecular structure (condensed structures, Lewis structures, skeletal structures, wedge-dash diagrams, Newman projections, and chair conformations). Semi-structured interviews with 38 first-semester organic chemistry learners informed the development of the ORCA items. The ORCA was developed and refined through three pilot administrations involving a total of 3477 first-semester organic chemistry students from multiple institutions. The final version of the ORCA was completed by 1494 students across five institutions. Various analyses provided evidence for the validity and reliability of the data generated by the assessment. Both one-factor and three-factor correlated structures were explored via confirmatory factor analysis. The one-factor model better captured the underlying structure of the data, which suggests that representational competence is better evaluated as a unified construct rather than as distinct, separate skills. The ORCA data reveal that the representational competence skills are interconnected and should consistently be reinforced throughout the organic chemistry course.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
设计,开发和评估有机化学代表性能力评估(ORCA)†
本文介绍了有机化学表征能力评价(ORCA)的设计与评价。ORCA以Kozma和Russell的表征能力框架为基础,测量学习者解释、翻译和使用六种常用的分子结构表征(凝聚结构、Lewis结构、骨骼结构、楔形虚线图、纽曼投影和椅子构象)的能力。对38名第一学期有机化学学习者的半结构化访谈为ORCA项目的开发提供了信息。ORCA是通过三个试点管理部门开发和完善的,涉及来自多个机构的3477名第一学期有机化学学生。ORCA的最终版本由来自五所院校的1494名学生完成。各种分析为评估产生的数据的有效性和可靠性提供了证据。通过验证性因子分析探索单因素和三因素的相关结构。单因素模型更好地捕捉了数据的底层结构,这表明表征能力更好地作为一个统一的结构来评估,而不是作为不同的、独立的技能来评估。ORCA数据显示,表征能力技能是相互关联的,应该在整个有机化学课程中不断加强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.80
自引率
26.70%
发文量
64
审稿时长
6-12 weeks
期刊介绍: The journal for teachers, researchers and other practitioners in chemistry education.
期刊最新文献
Back cover Student conceptualizations and predictions of substitution and elimination reactions: what are they seeing on the page?† Self-regulated learning strategies for success in an online first-year chemistry course ‘Seeing’ chemistry: investigating the contribution of mental imagery strength on students’ thinking in relation to visuospatial problem solving in chemistry† Student's study behaviors as a predictor of performance in general chemistry I
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1