Early Warning Signals from Automaticity Diagnostic Instruments for First- and Second-Semester General Chemistry
| Autor: | Ben Jang, Adrian Villalta-Cerdas, Anton V. Dubrovskiy, Rebecca Weber, Deborah Rush Walker, Diana S. Mason, Cynthia B. Powell, Blain Mamiya, G. Robert Shelton |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Journal of Chemical Education. 98:3061-3072 |
| ISSN: | 1938-1328 0021-9584 |
| Popis: | The Math-Up Skills Tests (MUST) has been used in multiple research projects conducted by the Networking for Science Advancement (NSA) team to determine how automaticity skills (what can be done without a calculator) in arithmetic can be used to predict if students will be successful (course average = 69.5%+) in general chemistry. This study expands our investigations to include how students’ quantitative literacy/quantitative reasoning (QL/QR) abilities influence their success. The NSA team studied multiple classes at eight universities (n = 1,915) within a broad geographic setting in one large, majority-minority southwestern US state. In a short amount of required classroom time, it is possible to identify students at the beginning of the semester who will struggle in first- and second-semester general chemistry (Chem I and Chem II). Results show a strong correlation between students’ automaticity MUST skills and their QL/QR ability (r = 0.60) and indicate that when taking both diagnostic assessments into consideration, convincing signals appear allowing for the identification of almost 50% of the Chem I students and about 45% of the Chem II students who will not succeed. With the addition of the QL/QR to the first-week assessments, about 9% more students who enter the courses underprepared were identified than when only the MUST was administered. Outcomes indicate that students with at least average arithmetic and QL/QR automaticity abilities are those who are better prepared for these courses. For on-sequence students with at least one average or above diagnostic score, 88.3% Chem I and 90.5% Chem II were successful. |
| Databáze: | OpenAIRE |
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