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This year, the National Science Foundation (NSF) is celebratingits 75th anniversary. NSF support was essential in the originaldevelopment of BASIL (Biochemistry Authentic Scientific InquiryLab). Ongoing NSF support over the past ten years has enabled the BASILcommunity to grow in numbers and in collaboration with other teacher/scholar teamswho are seeking to change undergraduate biochemistry education. At the same time,NSF support has also provided support for our most critical online resource, theRCSB Protein Data Bank, which has always provided us with the structures that westudy and, increasingly, is providing us with the tools that our students use to explorethese structures and predict their function. 

Teaching students how to think like scientists is a critical but challenging goal in biochemistry education. The Biochemistry Authentic Scientific Inquiry Lab (BASIL) initiative was conceived by Dr Paul Craig from the Rochester Institute of Technology and is led by colleagues across multiple institutions. They have developed an innovative curriculum that transforms traditional cookbook-style laboratory courses into authentic research experiences, also known as a Course-based Undergraduate Research Experience (CURE). By investigating real proteins with unknown functions, students learn essential scientific skills while expanding our knowledge of protein biochemistry. 

In the Biochemistry Authentic Scientific Inquiry Lab (BASIL) course-based undergraduate research experience, students use a series of computational (sequence and structure comparison, docking) and wet lab (protein expression, purification, and concentration; sodium dodecyl sulfate-polyacrylamide gel electrophoresis [SDS-PAGE]; enzyme activity and kinetics) modules to predict and test the function of protein structures of unknown function found in the Protein Data Bank and UniProt. BASIL was established in 2015 with a core of 10 faculty members on six campuses, with the support of an educational researcher and doctoral student on a seventh campus. Since that time, the number of participating faculty members and campuses has grown, and we have adapted our curriculum to improve access for all who are interested. We have also expanded our curriculum to include new developments that are appearing in computational approaches to life science research. In this article, we provide a history of BASIL, explain our current approach, describe how we have addressed challenges that have appeared, and describe our curriculum development pipeline and our plans for moving forward in a sustainable and equitable fashion. 

Visual literacy is recognized as a threshold concept in biochemistry and molecular biology. However, a consensus on the optimal methods for teaching and evaluating remains elusive. For a decade, BioMolViz has strived to enhance biomolecular visualization assessment. Through workshops and online working groups, we guide instructors on how to probe biomolecular visual literacy using accessible images and questions, which are ultimately shared broadly through our online repository (the BioMolViz Library). Here, we present the final step of our assessment validation process which occurred during the 2022-2023 academic year. We engaged life science students from seven U.S.-based institutions in a pilot field test. Students responded to the multiple choice, multiple select and free response items, rated them on their perceived difficulty, and provided optional open-ended feedback. As we examined the data, we became curious about whether instructors viewed the difficulty level of the items similarly to students. We followed up with an instructor survey where respondents rated and commented on the difficulty of 14 assessment items that were administered to students in the pilot field test. Subsequently, we conducted a mixed methods study to analyze our quantitative and qualitative data. Our analysis revealed a statistically significant disparity between instructors' and students' perceptions of assessment difficulty. Notably, regression models suggest that students' performance predicts their perceived difficulty, with high-performing students finding the assessment generally easier than their lower-performing peers. This points to the crucial role of performance in shaping students' perceptions, while also indicating that instructors, on the whole, tended to view the assessment as less challenging than students. To gain deeper insights into these findings, we performed thematic coding of both student and instructor responses. Our analysis unveiled three pivotal themes in visual literacy assessment: (a) expectations about images guide student performance, (b) disparities exist in visual literacy problem solving, and (c) content knowledge can be both a help and hindrance in visualization. Importantly, these results have changed the way members of our team now approach teaching and evaluating biomolecular visualization skills in our own classrooms. We will share our revised approaches alongside results from our study and provide practical recommendations to aid educators in effectively teaching and evaluating visual literacy in their classrooms. This material is supported by the National Science Foundation (NSF) under grants RCN-UBE #1920270 and NSF-IUSE #1712268 

While visual literacy has been identified as a foundational skill in life science education, there are many challenges in teaching and assessing biomolecular visualization skills. Among these are the lack of consensus about what constitutes competence and limited understanding of student and instructor perceptions of visual literacy tasks. In this study, we administered a set of biomolecular visualization assessments, developed as part of the BioMolViz project, to both students and instructors at multiple institutions and compared their perceptions of task difficulty. We then analyzed our findings using a mixed-methods approach. Quantitative analysis was used to answer the following research questions: (1) Which assessment items exhibit statistically significant disparities or agreements in perceptions of difficulty between instructors and students? (2) Do these perceptions persist when controlling for race/ethnicity and gender? and (3) How does student perception of difficulty relate to performance? Qualitative analysis of open-ended comments was used to identify predominant themes related to visual problem solving. The results show that perceptions of difficulty significantly differ between students and instructors and that students’ performance is a significant predictor of their perception of difficulty. Overall, this study underscores the need to incorporate deliberate instruction in visualization into undergraduate life science curricula to improve student ability in this area. Accordingly, we offer recommendations to promote visual literacy skills in the classroom.