Search bioRxiv⌕ Search

bioRxiv · 10.1101/2022.11.14.516496

C.R.E.A.T.E'ing shifts in first year students' science efficacy that are independent of instructor rank and experience in a large, multi-section online introductory course

Abstract

With a primary objective to engage students in the process of science online, we transformed a long-standing laboratory course for first-year science students into a more accessible, immersive experience of current biological research using a narrow and focused set of primary literature and the CREATE pedagogy. The efficacy of the CREATE approach has been demonstrated in a diversity of higher education settings and courses. It is, however, not yet known if CREATE can be successfully implemented online with a large, diverse team of faculty untrained in the CREATE pedagogy. Here, we present the transformation of a large-enrollment, multi-section, multi-instructor course for first-year students in which instructors follow different biological research questions but work together to reach shared goals and outcomes. We assessed students: (1) science self-efficacy and (2) epistemological beliefs about science throughout an academic year of instruction fully administered online as a result of ongoing threats posed by COVID-19. Our findings demonstrate that novice CREATE instructors with varying levels of teaching experience and ranks can achieve comparable outcomes and improvements in students science efficacy in the virtual classroom as a teaching team. This study extends the use of the CREATE strategy to large, team-taught, multi-section courses and shows its utility in the online teaching and learning environment.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Garzke, J., Steinwand, B.. 2022-11-16. C.R.E.A.T.E'ing shifts in first year students' science efficacy that are independent of instructor rank and experience in a large, multi-section online introductory course. https://doi.org/10.1101/2022.11.14.516496

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Evaluating Large Language Models as Tools to Navigate Researchers in Rapidly Evolving Research Landscapes: A Case Study in Cancer Drug Response Prediction

Large Language Models (LLMs) have emerged as promising tools for assisting researchers in automating and accelerating the synthesis of literature reviews. However, their reliability is a significant concern due to issues like factual inaccuracies and hallucinations. The key question is whether LLMs can reliably provide comprehensive, up-to-date overviews and analyses. This study evaluates the performance of three leading LLMs (OpenAI's ChatGPT, Google's Gemini, and DeepSeek) on the complex task of generating a comprehensive survey paper on deep learning for cancer Drug Response Prediction (DRP). By testing both standard and Deep Research (DR) / Deep Think (DT) modes of LLMs with prompts of varying detail, this paper assesses key academic dimensions, including reference management, content quality, and analytical depth. Key findings reveal that while DR modes of LLMs significantly improve reliability by eliminating hallucinations, performance variations exist across models and prompts. A trade-off between reference quantity and integration quality was observed, and even the best-performing models lacked the analytical depth of human experts, often requiring extensive human supervision. The study concludes that LLMs currently serve as powerful assistive tools but still cannot replace the critical validation and synthesis provided by human researchers. Choosing the best LLM to use depends on the task in hand, while several strategies can be implemented to improve the produced output.

scientific communication and education↗

Writing for identity? Exploring the motivation of pre-college students to participate in science publication

Scientific publication represents a pinnacle of professional communication in science. While traditional pre-college science classrooms offer various outlets for scientific communication through lab reports and presentations, access to scientific publication, in particular, remains largely out of reach for these students. Yet, this landscape is beginning to shift as an emerging cohort of young researchers challenges this barrier by publishing their work in peer-reviewed journals. This study investigates why pre-college students voluntarily undertake the rigorous process of scientific publication, revealing important insights about student motivation and identity development in science. Through analysis of survey responses from student authors using the lens of science identity theory, we discovered that students view publication as a vehicle for contributing to the scientific community and building ones own self-efficacy in the process. Female-identifying students in particular emphasized publication as a pathway to gain recognition as scientists and develop professional writing skills. These findings challenge traditional assumptions about pre-college science communication and suggest that access to authentic publication opportunities may be a powerful, yet underutilized tool for fostering science identity and expanding participation in STEM fields. Our research provides critical insights for educators and policymakers seeking to create more authentic and empowering pathways into science careers.

scientific communication and education↗

Hackathons as essential tools in an interdisciplinary biological training - report from trainings for Sub-Saharan students

Hackathons are collaborative, fast-paced events where participants from various fields work together to solve real-world problems. They are increasingly used in higher education to foster collaboration, problem-solving and applied computational skills, yet their role in interdisciplinary biological training remains under-documented. We report on the design and implementation of two computational biology summer schools in Kenya (2022, 2023), each culminating in a hackathon that integrated biological problems, quantitative methods, and coding. Both events targeted early-career researchers from multiple sub-Saharan countries and combined intensive teaching in programming and modelling with a time-bound group challenge using authentic marine conservation and synthetic epidemiological datasets. We describe the educational design, including its grounding in project-based learning, authentic learning, and Self-Determination Theory, and we document how performance-based assessment and structured participant feedback were used to evaluate learning outcomes. We present a critical reflective account of what worked, our teaching philosophy, and how hackathons can be embedded responsibly within biological curricula. We argue that, when embedded in sustained training and supported by appropriate mentoring, hackathons provide a practical and effective way to help biologists build computational skills, communicate across disciplines, and gain confidence in shaping their own research.

scientific communication and education↗