Literaturnachweis - Detailanzeige
Autor/inn/en | Carberry, Tom P.; Lukeman, Philip S.; Covell, Dustin J. |
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Titel | Bringing Nuance to Automated Exam and Classroom Response System Grading: A Tool for Rapid, Flexible, and Scalable Partial-Credit Scoring |
Quelle | In: Journal of Chemical Education, 96 (2019) 8, S.1767-1772 (6 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Zusatzinformation | ORCID (Lukeman, Philip S.) ORCID (Covell, Dustin J.) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0021-9584 |
Schlagwörter | Science Instruction; Computer Software; Grading; Science Tests; Technology Uses in Education; Automation; College Science; Undergraduate Study; Organic Chemistry; Scoring |
Abstract | We present here an extension of Morrison's and Ruder's "Sequence-Response Questions" (SRQs) that allows for more nuance in the assessment of student responses to these questions. We have implemented grading software (which we call ANGST, "Automated Nuanced Grading & Statistics Tool") in a Microsoft Excel sheet that can take SRQ "answer data from any source" and "flexibly and automatically grade these responses with partial credit." This allows for instructors to assess a range of understanding of material from student-generated answers as in a traditional written exam, while still reducing grading workload for large classes. It also allows instructors to do automated statistical analysis on the most popular answers, "and subanswers," either from sources like exams or classroom response systems (CRSs), to determine common misunderstandings and facilitate adjustments to instruction. (As Provided). |
Anmerkungen | Division of Chemical Education, Inc. and ACS Publications Division of the American Chemical Society. 1155 Sixteenth Street NW, Washington, DC 20036. Tel: 800-227-5558; Tel: 202-872-4600; e-mail: eic@jce.acs.org; Web site: http://pubs.acs.org/jchemeduc |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |