Undergraduate education and long-term science literacy are enhanced by integrating data projects with public datasets and creating analysis summaries. Underutilized public datasets are often generated by community-based or citizen science projects to address conservation issues supported by local residents. The objectives of this course activity are for students to contribute to a community science project, observe local species diversity, develop biodiversity questions, and apply data science techniques. Engaging students in these local projects enhances their understanding of the scientific process and its broader impacts on their community. The City Nature Challenge (CNC) is an annual global community science event where students participate by documenting species observations with the iNaturalist application, similar to localized BioBlitz events. Students are guided through using the iNaturalist database to practice biodiversity calculations then data is collected through participation in CNC (or a BioBlitz event an instructor arranges for their class). Spreadsheet software is used by students to organize, analyze, and summarize their relevant data to their peers. Students join the iNaturalist community of observers, which includes professional and non-professional naturalists. Therefore, students can see the themselves as scientists by contributing locally relevant data to a global and digital community of scientists. Experience working with large datasets such as the CNC iNaturalist dataset is essential for STEM careers and building data literacy. Implementing these experiences in classrooms will provide students unique opportunities to learn more about local biodiversity, develop interdisciplinary skills and positively influence a global network of scientists.

Primary image: Students recording biodiversity observations in an open field. At the annual Macaulay Honors College BioBlitz, students are divided into teams to explore a specific NYC park and record the animal and plant life they observed, which they later used to generate biodiversity reports including the species richness and abundances for the park.

To facilitate understanding of the fundamental genetic concept of the genotype-phenotype relationship in our introductory biology students, we designed an engaging multi-week series of related lessons about canine genetics in which students explore and answer the question, "How does the information encoded in DNA lead to physical traits in an organism?" Dogs are an excellent model organism for students since the genetic basis for complex morphological traits of various breeds is an active area of scientific research and dog DNA is easily accessible. Additionally, examination of students' pets offers a relatable, real-world, connection for students. Of the more than 19,000 genes that control canine genetics, simple genetic mutations in three genes are largely responsible for the coat variations of dogs –specifically, the genes that control hair length, curl, and the presence/absence of furnishings. In our lessons, students collect DNA samples from dogs, isolate and amplify targeted sections of DNA through polymerase chain reactions (PCR), and then sequence and analyze DNA for insertions and single nucleotide polymorphism (SNP) mutations. Utilizing gel electrophoresis and bioinformatics tools, students connect how the physical manifestation of traits is rooted in genetic sequences. Students also participate in discussions of scientific literature, group collaboration to construct a final poster, and presentation of their findings during a mock scientific poster conference. Through this module students engage in progressive exploration of genetic and molecular techniques that reveal how simple variations in a few DNA sequences in combination lead to a broad diversity of coat quality in domestic dog breeds.

Primary image. Genetic Analysis of Canine Coat Morphologies. Three dogs with differing coat morphologies analyzed by students (A, B, C), an agarose gel post-electrophoresis (D), and a chromatogram of a DNA sequence highlighting a relevant mutation (E). This collage contains original images taken by authors and course participants.

Growing calls in science education reform have emphasized wide-scale engagement of first-year undergraduate students in authentic research experiences; however, large course enrollments, inadequate student experience, limited resources and departmental inertia often create obstacles to reaching this goal. To help overcome these obstacles, the Department of Biology at James Madison University (JMU) has developed a cost-effective, scalable, and transferable semester-long (14-week) course-based undergraduate research experience (CURE) designed for large enrollment introductory biology labs. In this series of labs, first-year students use DNA barcoding to engage in authentic research practices drawn from the fields of ecology, molecular biology, and bioinformatics. These labs enable students to identify local species of plants, fungi, and invertebrates using student-generated DNA barcode sequences, which are then shared through a public database. Since their implementation at JMU in 2016, students in these labs have created and shared over 1,500 unique DNA barcode sequences and documented over 300 local species of plants, fungi, and invertebrates. These data are being used in an ongoing project comparing the biodiversity of forest edge versus forest interior habitats, but the labs are adaptable to almost any habitat or taxonomic group. In this article, we provide detailed descriptions of the content, logistics, and implementation of this 14-week series of labs. To our knowledge, this is among the largest-enrollment CUREs being offered to first-year undergraduates in the United States, and we hope that it can be useful to other institutions interested in documenting biodiversity and engaging introductory biology students in authentic research.

Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language to biology majors.

Modern molecular biology is a data- and computationally-intensive field with few instructional resources for introducing undergraduate students to the requisite skills and techniques for analyzing large data sets. This Lesson helps students: (i) build an understanding of the role of signal transduction in the control of gene expression; (ii) improve written scientific communication skills through engagement in literature searches, data analysis, and writing reports; and (iii) develop an awareness of the procedures and protocols for analyzing and making inferences from high-content quantitative molecular biology data. The Lesson is most suited to upper level biology courses because it requires foundational knowledge on cellular organization, protein structure and function, and the tenets of information flow from DNA to proteins. The first step lays the foundation for understanding cell signaling, which can be accomplished through assigned readings and presentations. In subsequent active learning sessions, data analysis is integrated with exercises that provide insight into the structure of scientific papers. The Lesson emphasizes the role of quantitative methods in research and helps students gain experience with functional genomics databases and data analysis, which are important skills for molecular biologists. Assessment is conducted through mini-reports designed to gauge students' perceptions of the purpose of each step, their awareness of the possible limitations of the methods utilized, and the ability to identify opportunities for further investigation. Summative assessment is conducted through a final report. The modules are suitable for complementing wet-laboratory experiments and can be adapted for different courses that use molecular biology data.

E-book in .pdf format and customizable .iba format

Scientists have discovered that microplastic pollution is ubiquitous in the environment, but the small size of these microscopic pollutants prohibits most people from recognizing their prevalence. This river-based field lesson will introduce environmental science students to this emerging environmental concern, and encourages them to explore microplastics in their local waterways with sample collection, density separation and field-based microscopy. Students will appreciate the opportunity to connect to this topic from anywhere in the world, allowing them to see microplastics with their own eyes and without the use of sophisticated equipment. In addition, this lesson helps students recognize their own personal impact on microplastic pollution and identify ways to reduce their creation of microplastics.

The five Phanerozoic mass extinctions were central in shaping biodiversity on Earth today. Due to increasing biodiversity losses, there is debate about whether we are currently undergoing a sixth mass extinction. To help students better understand these issues and explore the ongoing debate, we developed a lesson that uses active learning approaches including small-group work, poll questions, and whole-class discussion. This lesson provides an overview of major events in Earth’s history, an introduction to extinction and mass extinction, and past and present conservation efforts. Students were assessed using two short take-home assignments, in-class poll questions, and quiz questions. Here we provide detail about the lesson and summarize student performance on the assessments.

Primary image: This image was adapted from work shared under a Creative Commons License (https://commons.wikimedia.org/wiki/File:Nature_timespiral_vertical_layout.png)

In this module, students will be investigating a louse gene with an unknown function to determine if it might be important in the evolution of the louse ecomorphs.

Growth Mindset presentation