A writing-intensive course improves biology undergraduates' perception and confidence of their abilities to read scientific literature and communicate science

2013 ◽  
Vol 37 (1) ◽  
pp. 70-79 ◽  
Author(s):  
Sara E. Brownell ◽  
Jordan V. Price ◽  
Lawrence Steinman

Most scientists agree that comprehension of primary scientific papers and communication of scientific concepts are two of the most important skills that we can teach, but few undergraduate biology courses make these explicit course goals. We designed an undergraduate neuroimmunology course that uses a writing-intensive format. Using a mixture of primary literature, writing assignments directed toward a layperson and scientist audience, and in-class discussions, we aimed to improve the ability of students to 1) comprehend primary scientific papers, 2) communicate science to a scientific audience, and 3) communicate science to a layperson audience. We offered the course for three consecutive years and evaluated its impact on student perception and confidence using a combination of pre- and postcourse survey questions and coded open-ended responses. Students showed gains in both the perception of their understanding of primary scientific papers and of their abilities to communicate science to scientific and layperson audiences. These results indicate that this unique format can teach both communication skills and basic science to undergraduate biology students. We urge others to adopt a similar format for undergraduate biology courses to teach process skills in addition to content, thus broadening and strengthening the impact of undergraduate courses.

Author(s):  
Kathleen R. Brazeal ◽  
Tanya L. Brown ◽  
Brian A. Couch

AbstractWhile formative assessments (FAs) can facilitate learning within undergraduate STEM courses, their impact likely depends on many factors, including how instructors implement them, whether students buy-in to them, and how students utilize them. FAs have many different implementation characteristics, including what kinds of questions are asked, whether questions are asked before or after covering the material in class, how feedback is provided, how students are graded, and other logistical considerations. We conducted 38 semi-structured interviews with students from eight undergraduate biology courses to explore how various implementation characteristics of in-class and out-of-class FAs can influence student perceptions and behaviors. We also interviewed course instructors to provide context for understanding student experiences. Using thematic analysis, we outlined various FA implementation characteristics, characterized the range of FA utilization behaviors reported by students, and identified emergent themes regarding the impact of certain implementation characteristics on student buy-in and utilization. Furthermore, we found that implementation characteristics have combined effects on student engagement and that students will tolerate a degree of “acceptable discomfort” with implementation features that contradict their learning preferences. These results can aid instructor reflection and guide future research on the complex connections between activity implementation and student engagement within STEM disciplines.


2013 ◽  
Vol 12 (3) ◽  
pp. 483-493 ◽  
Author(s):  
Steven T. Kalinowski ◽  
Mary J. Leonard ◽  
Tessa M. Andrews ◽  
Andrea R. Litt

Students in introductory biology courses frequently have misconceptions regarding natural selection. In this paper, we describe six activities that biology instructors can use to teach undergraduate students in introductory biology courses how natural selection causes evolution. These activities begin with a lesson introducing students to natural selection and also include discussions on sexual selection, molecular evolution, evolution of complex traits, and the evolution of behavior. The set of six topics gives students the opportunity to see how natural selection operates in a variety of contexts. Pre- and postinstruction testing showed students’ understanding of natural selection increased substantially after completing this series of learning activities. Testing throughout this unit showed steadily increasing student understanding, and surveys indicated students enjoyed the activities.


2020 ◽  
Vol 13 ◽  
pp. 50-56
Author(s):  
Suzanne Wood

In the later years of undergraduate study, students read, process, and evaluate primary literature within specific fields of study. Shifting from textbooks to the vast amounts of peer-reviewed current literature can be difficult for students. This article details an innovative approach to helping students successfully make this transition through a series of sequential assignments based on the levels of increasing cognitive complexity in Bloom’s taxonomy. These assignments are designed to be flexible enough to use in fields throughout the sciences and beyond, while allowing instructors to tailor these assignments to meet the needs of their particular students.   Dans les dernières années de leurs études de premier cycle, les étudiants procèdent à la lecture, à l’assimilation et à l’examen des principaux travaux dans des domaines d’études particuliers. Le passage des manuels d’apprentissage à la masse profuse des travaux de recherche actuels évalués par les pairs peut être difficile pour les étudiants. Dans notre article, nous présentons une approche novatrice visant à aider les étudiants à réussir cette transition grâce à un ensemble de devoirs dont la succession répond à l’échelle de complexité cognitive selon la taxinomie de Bloom. Ces devoirs sont conçus de manière flexible pour un usage dans différents domaines scientifiques et ailleurs, ce qui permet aux enseignants de les adapter selon les besoins particuliers de leurs étudiants.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
D Golinelli ◽  
A G Nuzzolese ◽  
E Boetto ◽  
F Rallo ◽  
M Greco ◽  
...  

Abstract Background The recent COVID-19 epidemic is showing how the response of the scientific literature is fundamental in the first days following the onset of a new epidemic. Quantifying which studies have a greatest impact can help researchers and policymakers in controlling the epidemic. The aim of this study is to describe the early scientific production in response to the COVID-19 epidemic through a scientometric analysis. Methods The study consisted of: 1) review of the scientific literature produced in the 30 days since the first paper related to COVID-19 has been published on Pubmed; 2) Identification of papers' Digital Object Identifiers (DOI) and analysis of related metrics with the construction of a 'Computed Impact Score' (CIS) that represents a unifying score over heterogeneous bibliometric indicators. The CIS takes into account all the bibliometric indicators both traditional (i.e. counting of citations) and alternative (i.e. altmetrics). In this study we use the altmetrics provided by Plum Analytics (PlumX). All bibliometric indicators for the selected papers have been collected by using their corresponding DOIs as the key for querying Scopus API, which integrates PlumX. On top of those indicators we compute the CIS. The papers with higher CIS are discussed and presented. Results 239 papers have been included in the study. A threshold for CIS of t = 1.04 (i.e.95% quantile) allowed us to record 8 papers as potentially impactful. The 8 papers are: 6 case reports, 1 methodological study, 1 editorial. First authors come from China (n = 6), USA (n = 1) and Germany (n = 1). The main topics are: case/s description (n = 5), outbreak investigation (n = 2) and 1 genomic study. Conclusions The early response of the scientific literature during an epidemic does not follow a pre-established pattern. Tracing the traditional and non-traditional metrics measures of papers can help to understand and evaluate the impact of literature on the scientific community and general population. Key messages The dynamic of the scientific community represents an important aspect of the early response to the onset of a new epidemic, which must be studied also to increase systems’ preparedness. In a connected digital world, tracing metrics measures of scientific papers can identify those with the greatest impact and help professionals to correctly inform the population.


Author(s):  
Kelly Schrum ◽  
Niall Majury ◽  
Anne Laure Simonelli ◽  
Sarah Bodgewiecz

There is growing attention to student assessments designed to reach beyond the classroom, including assessments with an immediate or future audience. The impact of audience, however, has not been examined in multimodal assessments across continents, institutions, disciplines, and teaching contexts. Using qualitative data, this article examines the impact on student learning of incorporating audience and awareness of audience in diverse settings through multimodal projects. These include a core assignment in an interdisciplinary, semester-long graduate class in the United States, a year-long capstone project for geography undergraduates in Northern Ireland, and a supplemental assignment for graduate and undergraduate biology students in Norway. This article investigates the impact of audience through multimodal assessments across these three settings and concludes that it can positively influence student learning, motivation, and skill development.


2021 ◽  
Vol 10 (11) ◽  
pp. e193101118923
Author(s):  
Maria do Socorro de Souza ◽  
Jakeline Rodrigues de Aquino Bezerra ◽  
Luis Paulo Bresciani ◽  
Edimilson Eduardo da Silva

The application of technologies related to Industry 4.0 is already underway in countries such as the United States, Germany, China, South Korea and Japan. Given the importance of using new technologies of Industry 4.0, listed in the scientific literature, we aim to understand how international academic publications on Industry 4.0 are characterized, based on their scientific indicators. In order to meet the objective, scientific publications were extracted from the Web of Science platform and analysis techniques such as Bibliometric, Spearman Correlation and Clustering (Cluster) were used. The revelations have pointed out that the Industry 4.0 theme is recent in terms of scientific publications by the Web of Science platform. In this database, the first Management, Business and Economics academic publications took place in 2016, although from 2018 onwards, there is a significant increase of academic publications in the researched area. Empirical disclosure provided evidence that the various measurements of indicators on the Impact Factor and number of citations converge with each other. The results pointed to a gap in indicators that demonstrate academic publications with expressive citations in low-impact journals. Finally, it is pointed out that these quantitative disclosures contribute to the decision-making initial process, but with limitations, considering the importance of interpretive analysis of the scientific literature content.


2016 ◽  
Author(s):  
Mikah J. Pritchard ◽  
Trisha A. Turner ◽  
Ellen L. Usher ◽  
Faith L. Jones

Sign in / Sign up

Export Citation Format

Share Document