We followed established best practices in concept inventory design and developed a 12-item inventory to assess student ability in statistical reasoning in biology (Statistical Reasoning in Biology Concept Inventory [SRBCI]). It is important to assess student thinking in this conceptual area, because it is a fundamental requirement of being statistically literate and associated skills are needed in almost all walks of life. Despite this, previous work shows that non–expert-like thinking in statistical reasoning is common, even after instruction. As science educators, our goal should be to move students along a novice-to-expert spectrum, which could be achieved with growing experience in statistical reasoning. We used item response theory analyses (the one-parameter Rasch model and associated analyses) to assess responses gathered from biology students in two populations at a large research university in Canada in order to test SRBCI’s robustness and sensitivity in capturing useful data relating to the students’ conceptual ability in statistical reasoning. Our analyses indicated that SRBCI is a unidimensional construct, with items that vary widely in difficulty and provide useful information about such student ability. SRBCI should be useful as a diagnostic tool in a variety of biology settings and as a means of measuring the success of teaching interventions designed to improve statistical reasoning skills. 相似文献
Despite research interest in testing the effects of literacy-infused science interventions in different contexts, research exploring the relationship, if any, between academic language and conceptual understanding is scant. What little research exists does not include English language learners (ELLs) and/or economically disadvantaged (ED) student samples—students most at risk academically. This study quantitatively determined if there exists a relationship, and if so, how strong of a relationship, between ELL and ED students’ academic language and conceptual understanding based on science notebook scores used in a larger science and literacy-infused intervention with a sample of culturally diverse students. The study also considered strengths of relationships between language and concept science notebook scores within student language status groups (ELL, former ELL, and English speaking). Correlational analyses noted positive, large, and significant correlations between students’ language and concept scores overall, with the largest correlations for science notebook entries using more academic language. Large correlations also existed for ELL student entries at the end of the school year. Implications of the findings for future research and practice in science classrooms including literacy interventions, such as science notebooks, with populations of culturally diverse students are discussed.
This study examined the relation of 3‐year core information‐processing abilities to lexical growth and development. The core abilities covered four domains—memory, representational competence (cross‐modal transfer), processing speed, and attention. Lexical proficiency was assessed at 3 and 13 years with the Peabody Picture Vocabulary Test (PPVT) and verbal fluency. The sample (N =128) consisted of 43 preterms (< 1750 g) and 85 full‐terms. Structural equation modeling indicated concurrent relations of toddler information processing and language proficiency and, independent of stability in language, direct predictive links between (a) 3‐year cross‐modal ability and 13‐year PPVT and (b) 3‐year processing speed and both 13‐year measures, PPVT and verbal fluency. Thus, toddler information processing was related to growth in lexical proficiency from 3 to 13 years. 相似文献
The aim of this study was to examine the informational cues that students perceive to be influential when developing initial impressions and expectancies of a lecturer. Undergraduate university students (n = 452) were required to rate the extent to which 30 informational cues (e.g. gender, qualifications) influence their initial perceptions of a lecturer. Following exploratory factor analysis (EFA), a five-factor model (i.e. appearance (APP), accessories (ACC), third party reports (TPR), communication skills (CS), nationality/ethnicity (NE) was extracted. Inspection of mean scores identified that students rated TPR (e.g. teaching experience) and CS (e.g. speed of speech) to be influential factors in forming initial impressions and expectancies of a lecturer. The findings identify the potential for expectancy effects within student–lecturer interactions. 相似文献
