No abstract

Introductory biology students struggle to incorporate the molecular genetic origin of variation in their evolutionary reasoning framework. Meaningful learning of this concept may require 1) multiple cycles of instruction, assessment, and feedback; and 2) assessment forms, such as conceptual models, that promote and reveal mechanistic and causal reasoning.

Identity production is a complex process in which a person determines who he or she is via internal dialogue and sociocultural participation. Understanding identity production is important in biology education, because students’ identities impact classroom experiences and their willingness to persist in the discipline. Thus, we suggest that educators foster spaces where students can engage in producing science identities that incorporate positive perceptions of who they are and what they have experienced. We used Holland’s theory of identity and Urrieta’s definitions of conceptual identity production (CIP) and procedural identity production (PIP) to explore the process of students’ science identity production. We interviewed 26 students from five sections of a general biology course for majors at one higher education institution. The interview protocol included items about students’ identities, influential experiences, perceptions of science, and perceptions of their classroom communities. From the interviews, we developed hierarchical coding schemes that focused on characterizing students’ CIP and PIP. Here, we describe how students’ socially constructed identities (race, gender, etc.) and their experiences may have impacted the production of their science identities. We found that authoring (i.e., making meaning of) experiences and recognition by others as a community member influenced students’ science identity production.

Student success in large enrollment undergraduate science courses which utilize "active learning" and Learning Assistant (LA) support is a complex phenomenon. It is often ill-defined, is likely impacted by many factors, and regularly interacts with a variety of treatments or interventions. Defining, measuring, and modeling student success as a factor of multiple inputs is the focus of our work. Because this endeavor is complex and multifaceted, there is a need for strong theoretical framing. Without such explicit framing, we argue that our findings would be uninterpretable. In this paper we describe our efforts to define that theoretical framework, present the framework, and describe how it defines our methodological approach, analyses, and future work.

Background The success of the learning assistant (LA) model has largely been attributed to LA facilitation of active learning tasks. A deeper understanding of how LAs facilitate these tasks would inform LA training and support successful adoption of the LA model. Our investigation of LA actions during their interaction with students in the classroom contributes to that understanding. We present and discuss the development of the action taxonomy for learning assistants (ATLAs), as well as illustrate its applicability by presenting some analyses that were conducted on sample data. Results The LAs carried out several different actions that we categorized broadly as LA-Directed Facilitation, LA-Guided Facilitation, Advice, Feedback, Course-Related Talk, and Non-Course-Related Talk. LA-Directed Facilitation and LA-Guided Facilitation were the most common types of actions observed. We found that LA actions varied by course. Conclusions ATLAs is a tool that can be used to examine LA actions. In our sample data set, LAs undertook many different actions during interactions with students which indicates that LAs play several different roles in the classroom. These findings have practical implications not only for faculty seeking to implement a peer instruction model such as the LA model, but also for instructors wanting to utilize LAs in their courses more effectively. Understanding what the LAs are doing during interactions with students can provide us insight into the different roles that LAs undertake. Knowledge of these roles will guide effective training, feedback, and direction of LAs, particularly during the pedagogy course.

Many science educators believe that student recognition of biodiversity is an important precursor to discovering patterns and understanding processes that define and shape ecological systems. We investigated (1) the total number, taxonomic categories, specificity, and diversity of backyard organisms that middle (MS) and high school (HS) students and teachers named, (2) how the number, specificity, and diversity of organisms that students and teachers named related to their overall performance on an ecology learning progression assessment, and (3) the types of information students used to sort and group organisms. Our sample population included 264 MS students, 374 HS students, and 108 teachers in five U.S. states (California, Colorado, Maryland, Michigan, and New York). We found that students were more likely to name vertebrates than plants or microorganisms, while teachers were more likely to name vertebrate and plants than microorganisms. Teachers named a higher total number (richness) and diversity of organisms and named more organisms in specific (e.g., bull snake) than general taxonomic categories (e.g., snake) than did students. Individual performance on the ecology learning progression assessment was positively correlated to the total number (richness), diversity, and specificity of organisms that students and teachers could name. The types of information students invoked to group organisms together varied by question context. Most students invoked information related to form/outward traits, habitat, function (e.g., decomposer), and taxa (e.g., fungi, plant, animal). Notably, some students invoked ideas about evolutionary relationships among organisms. This work corroborates previous findings about student familiarity with biodiversity and provides preliminary evidence that familiarity with local biodiversity is linked to reasoning about ecology.

As innovations and developments in genome editing technologies using CRISPR-Cas systems progress, the need to disseminate relevant knowledge and build skills among the next generation of young scientists in undergraduate classrooms is vital. Our efforts to enable undergraduate educators to bring CRISPR into their classrooms through in-person workshop training began in 2017 and went virtual during summer of 2020 under COVID-19 lockdown. In this report, we describe the proceedings of the virtual workshop and the feedback we received from the participants. An overwhelming majority of attendees reported that the virtual workshop facilitated gains in learning about CRISPR biology and experimental design. The plans shared by attendees to incorporate both virtual and hands-on CRISPR resources into their courses highlights the impact of this virtual CRISPR in the Classroom Workshop on educator confidence, and the likelihood of attendees to add CRISPR biology to their curriculum after participating in such a workshop.

Since the 1950s, anthropogenic activity has caused the loss of millions of hectares of bottomland hardwood forest in the Upper Mississippi River Valley, causing population declines in bird populations. Restoration of these forest stands has been ongoing for the past 2 decades. We assessed bird species presence on sites in the Upper Mississippi River Valley to quantify diversity and relate presence to habitat conditions and sites' age since restoration. We observed higher mean diversities at mature bottomland-forest sites during the spring and autumn, but nested ANOVAs indicated no significant differences among restoration-age categories during spring. During the autumn, the 15-23-y and the mature bottomland-forest categories were significantly different from the <7-y category. Predictive habitat models differed among species, but presence of forest-dwelling birds was positively related to forested conditions, such as tree height and tree density. Overall, our analyses show that a variety of birds use these sites, and we suggest further exploration of how assemblages may change in future surveys.