A new assessment tool, Ecology and Evolution–Measuring Achievement and Progression in Science or EcoEvo-MAPS, measures student thinking in ecology and evolution during an undergraduate course of study. EcoEvo-MAPS targets foundational concepts in ecology and evolution and uses a novel approach that asks students to evaluate a series of predictions, conclusions, or interpretations as likely or unlikely to be true given a specific scenario. We collected evidence of validity and reliability for EcoEvo-MAPS through an iterative process of faculty review, student interviews, and analyses of assessment data from more than 3000 students at 34 associate’s-, bachelor’s-, master’s-, and doctoral-granting institutions. The 63 likely/unlikely statements range in difficulty and target student understanding of key concepts aligned with the Vision and Change report. This assessment provides departments with a tool to measure student thinking at different time points in the curriculum and provides data that can be used to inform curricular and instructional modifications.
The Vision and Change report provides a nationally agreed upon framework of core concepts that undergraduate biology students should master by graduation. While identifying these concepts was an important first step, departments also need ways to measure the extent to which students understand these concepts. Here, we present the General Biology–Measuring Achievement and Progression in Science (GenBio-MAPS) assessment as a tool to measure student understanding of the core concepts at key time points in a biology degree program. Data from more than 5000 students at 20 institutions reveal that this instrument distinguishes students at different stages of the curriculum, with an upward trend of increased performance at later time points. Despite this trend, we identify several concepts that advanced students find challenging. Linear mixed-effects models reveal that gender, race/ethnicity, English-language status, and first-generation status predict overall performance and that different institutions show distinct performance profiles across time points. GenBio-MAPS represents the first programmatic assessment for general biology programs that spans the breadth of biology and aligns with the Vision and Change core concepts. This instrument provides a needed tool to help departments monitor student learning and guide curricular transformation centered on the teaching of core concepts.
Delayed biotic recovery from the end-Permian mass extinction has long been interpreted to result from environmental inhibition. Recently, evidence of more rapid recovery has begun to emerge, suggesting the role of environmental inhibition was previously overestimated. However, there have been few high-resolution taxonomic and ecological studies spanning the full Early and Middle Triassic recovery interval, leaving the precise pattern of recovery and underlying mechanisms poorly constrained. In this study, we document Early and Middle Triassic trends in taxonomic diversity, assemblage evenness, and size distribution of benthic foraminifers on an exceptionally exposed carbonate platform in south China. We observe gradual increases in all metrics through Early Triassic and earliest Middle Triassic time, with stable values reached early in the Anisian. There is little support in our data set for a substantial Early Triassic lag interval during the recovery of foraminifers or for a stepwise recovery pattern. The recovery pattern of foraminifers on the GBG corresponds well with available global data for this taxon and appears to parallel that of many benthic invertebrate clades. Early Triassic diversity increase in foraminifers was more gradual than in ammonoids and conodonts. However, foraminifers continued to increase in diversity, size, and evenness into Middle Triassic time, whereas diversity of ammonoids and conodonts declined. These contrasts suggest decoupling of recovery between benthic and pelagic environments; it is unclear whether these discrepancies reflect inherent contrasts in their evolutionary dynamics or the differential impact of Early Triassic ocean anoxia or associated environmental parameters on benthic ecosystems.
Phylogenetic relationships within Hesionidae Grube, 1850 are assessed via maximum parsimony and maximum likelihood analyses of mitochondrial (cytochrome c oxidase subunit I and 16S rRNA) and nuclear (18S rRNA, and 28S rRNA) data. The analyses are based on 42 hesionid species; six of these being new species that are described here. The new species, all from deep (>200 m depth) benthic environments (including whale falls) in the eastern Pacific, are Gyptis shannonae, sp. nov., Neogyptis julii, sp. nov., Sirsoe sirikos, sp. nov., Vrijenhoekia ketea, sp. nov., Vrijenhoekia falenothiras, sp. nov., and Vrijenhoekia ahabi, sp. nov. The molecular divergence among the new members of Vrijenhoekia is pronounced enough to consider them cryptic species, even though we cannot distinguish among them morphologically. Our results also showed that the subfamily Hesioninae Grube, 1850, as traditionally delineated, was paraphyletic. We thus restrict Hesioninae to include only Hesionini Grube, 1850 and refer the remaining members to Psamathinae Pleijel, 1998. The present study increases the number of hesionid species associated with whale falls from one to six and markedly increases the number of described deep-sea hesionid taxa. There appear to have been multiple colonisations of the deep sea from shallow waters by hesionids, though further sampling is warranted.
We describe the development of a new, freely available, online, programmatic-level assessment tool, Measuring Achievement and Progress in Science in Physiology, or Phys-MAPS ( http://cperl.lassp.cornell.edu/bio-maps ). Aligned with the conceptual frameworks of Core Principles of Physiology, and Vision and Change Core Concepts, Phys-MAPS can be used to evaluate student learning of core physiology concepts at multiple time points in an undergraduate physiology program, providing a valuable longitudinal tool to gain insight into student thinking and aid in the data-driven reform of physiology curricula. Phys-MAPS questions have a modified multiple true/false design and were developed using an iterative process, including student interviews and physiology expert review to verify scientific accuracy, appropriateness for physiology majors, and clarity. The final version of Phys-MAPS was tested with 2,600 students across 13 universities, has evidence of reliability, and has no significant statement biases. Over 90% of the physiology experts surveyed agreed that each Phys-MAPS statement was scientifically accurate and relevant to a physiology major. When testing each statement for bias, differential item functioning analysis demonstrated only a small effect size (<0.008) of any tested demographic variable. Regarding student performance, Phys-MAPS can also distinguish between lower and upper division students, both across different institutions (average overall scores increase with each level of class standing; two-way ANOVA, P < 0.001) and within each of three sample institutions (each ANOVA, P ≤ 0.001). Furthermore, at the level of individual concepts, only evolution and homeostasis do not demonstrate the typical increase across class standing, suggesting these concepts likely present consistent conceptual challenges for physiology students.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.