Jesus A. G. Ochoa de Alda, Jose Maria Marcos-Merino, Cristina Valares-Masa, Rocio Esteban-Gallego
{"title":"Anticipatory Emotions and Academic Performance: The Role of Boredom in a Preservice Teachers' Lab Experience","authors":"Jesus A. G. Ochoa de Alda, Jose Maria Marcos-Merino, Cristina Valares-Masa, Rocio Esteban-Gallego","doi":"10.1101/2024.01.16.575518","DOIUrl":"https://doi.org/10.1101/2024.01.16.575518","url":null,"abstract":"Affective experiences within academic contexts significantly influence educational outcomes. Despite this, the literature reveals a gap in generalising these effects to specific classroom activities, partly arising from the absence of suitable instruments to measure emotions in situational educational scenarios. Our study introduces an experience sampling method to measure sixteen discrete emotional states, deriving two scales for positive and negative activating emotions. Grounded in psychological and neuroscientific theories that integrate emotion with cognition, our research explores the interplay between prior knowledge, preservice teachers' anticipatory situational emotions, and subsequent learning in an experimental science education context. Analysing data from 269 preservice teachers from diverse backgrounds (STEM and non-STEM) at the upper-secondary level, we found that negative activating emotions are often rooted in non-STEM backgrounds and exacerbated by limited prior science knowledge. These negative emotions impact achievement and learning primarily through the mediating role of boredom. Furthermore, our results indicate that the detrimental impact of boredom on achievement is significantly influenced by prior knowledge, with a more pronounced effect on students with lower levels. Given that emotions are amenable to intervention, our findings propose that specifically addressing boredom in students with low prior knowledge could amplify the benefits of educational strategies.","PeriodicalId":501568,"journal":{"name":"bioRxiv - Scientific Communication and Education","volume":"193 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139480991","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Diane Codding, Alexandria H Yen, Haley Lewis, Vanessa Johnson-Ojeda, Regina F Frey, Sarah Chobot Hokanson, Bennett B Goldberg
{"title":"Nationwide Inclusive Facilitator Training: Mindsets, Practices and Growth","authors":"Diane Codding, Alexandria H Yen, Haley Lewis, Vanessa Johnson-Ojeda, Regina F Frey, Sarah Chobot Hokanson, Bennett B Goldberg","doi":"10.1101/2024.01.08.574770","DOIUrl":"https://doi.org/10.1101/2024.01.08.574770","url":null,"abstract":"Advancing diversity in STEM requires competent and confident faculty and staff who can lead local professional development in inclusive teaching to improve classroom instruction and support all learners. This paper examines how a facilitator training model designed to promote inclusive facilitation impacted inclusive learning community facilitator self-reported confidence and practices. This mixed methods study reports on survey data from project trained facilitators (n=75) collected over four course runs. Facilitators reported significant increases in confidence, with the largest effect sizes in areas related to diversity, equity, and inclusion (DEI) and identity. Qualitative findings indicate the training model effectively aligned facilitators with our approach to inclusive facilitation. Findings demonstrate that professional development in inclusive teaching, and by extension in other equity and diversity topics, can be successfully done at a national scale by centering identity, power, and positionality while upholding \"do no harm.\" This paper provides a strategy for how DEI-focused faculty development efforts can select, train, and support facilitators on a national scale while maintaining high fidelity to project values and goals.","PeriodicalId":501568,"journal":{"name":"bioRxiv - Scientific Communication and Education","volume":"57 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139414618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scott Takeo Aoki, Lindsay Lewellyn, Sarah Justice, Sarah Mordan-McCombs, Neetu Tewari, Jorge Cantu, Robert Seiser, Ahmed Lakhani, Jennifer R. Kowalski
{"title":"Effectiveness of a network Open House model to recruit trainees to post-baccalaureate STEM programs","authors":"Scott Takeo Aoki, Lindsay Lewellyn, Sarah Justice, Sarah Mordan-McCombs, Neetu Tewari, Jorge Cantu, Robert Seiser, Ahmed Lakhani, Jennifer R. Kowalski","doi":"10.1101/2024.01.08.574670","DOIUrl":"https://doi.org/10.1101/2024.01.08.574670","url":null,"abstract":"Post-baccalaureate (post-bac) programs can have a positive impact on science training and STEM career opportunities for junior trainees. A goal for many of these sponsored programs is to increase research exposure for underrepresented minorities, a group that can include African American, Hispanic, Native American, and first-generation college students, among others. Recruiting underrepresented minorities to post-bac programs can be challenging, for reasons that include a lack of available research opportunities, time to pursue these experiences, and awareness of available programs. To this end, an Open House event was created to inform and excite potential students for future post-bac programs. Students were recruited from partnering Minority Serving Institutions (MSIs) to attend a two-day event at a primarily undergraduate institution (PUI) and a research-intensive R1 institution. The students visited both campuses, were informed about post-bac programs and potential research opportunities, and met with faculty, current graduate students, and a former post-bac scholar. Transportation, lodging, and meals were provided. Visiting students completed voluntary pre- and post-surveys. Results indicated that attendees, the majority of whom were underrepresented minorities in STEM, left the event with an increased understanding about post-bac programs and their benefits to a career in STEM and that their attendance at the event made it more likely they would apply to available post-bac programs. Thus, this work demonstrates that in-person events involving integrative partnerships across multiple universities are effective strategies for increasing awareness of opportunities available to students post-graduation and for recruiting underrepresented groups in STEM to post-bac programs.","PeriodicalId":501568,"journal":{"name":"bioRxiv - Scientific Communication and Education","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139415429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lucy Moctezuma Tan, Lorena Benitez, Florentine van Nouhuijs, Faye Orcales, Allen Kim, Ross Campbell, Megumi Fuse, Pleuni S Pennings
{"title":"Using a decision tree to predict COVID case numbers: a tutorial for beginners","authors":"Lucy Moctezuma Tan, Lorena Benitez, Florentine van Nouhuijs, Faye Orcales, Allen Kim, Ross Campbell, Megumi Fuse, Pleuni S Pennings","doi":"10.1101/2023.12.19.572463","DOIUrl":"https://doi.org/10.1101/2023.12.19.572463","url":null,"abstract":"Machine learning (ML) makes it possible to analyze large volumes of data and is an important tool in biomedical research. The use of ML methods can lead to improvements in diagnosis, treatment, and prevention of diseases. During the COVID pandemic, ML methods were used for predictions at the patient and community levels. Given the ubiquity of ML, it is important that future doctors, researchers and teachers get acquainted with ML and its contributions to research. Our goal is to make it easier for students and their professors to learn about ML. The learning module we present here is based on a small but relevant COVID dataset, videos, annotated code and the use of cloud computing platforms. The benefit of cloud computing platforms is that students do not have to set up a coding environment on their computer. This saves time and is also an important democratization factor, allowing students to use old or borrowed computers (e.g., from a library), tablets or Chromebooks. As a result, this will benefit colleges geared toward underserved populations with limited computing infrastructure. We developed a beginner-friendly module focused on learning the basics of decision trees by applying them to COVID tabular data. It introduces students to basic terminology used in supervised ML and its relevance to research. The module includes two Python notebooks with pre-written code, one with practice exercises and another with its solutions. Our experience with biology students at San Francisco State University suggests that the material increases interest in ML.","PeriodicalId":501568,"journal":{"name":"bioRxiv - Scientific Communication and Education","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138825574","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Malgorzata Lagisz, Joanna Rutkowska, Upama Aich, Robert M Ross, Manuela S Santana, Joshua Wang, Nina Trubanova, Matthew J Page, Andrew Adrian Yu Pua, Yefeng Yang, Bawan Amin, April Robin Martinig, Adrian Barnett, Aswathi Surendran, Ju Zhang, David N Borg, Jafsia Elisee, James G Wrightson, Shinichi Nakagawa
{"title":"Best Paper awards lack transparency, inclusivity, and support for Open Science","authors":"Malgorzata Lagisz, Joanna Rutkowska, Upama Aich, Robert M Ross, Manuela S Santana, Joshua Wang, Nina Trubanova, Matthew J Page, Andrew Adrian Yu Pua, Yefeng Yang, Bawan Amin, April Robin Martinig, Adrian Barnett, Aswathi Surendran, Ju Zhang, David N Borg, Jafsia Elisee, James G Wrightson, Shinichi Nakagawa","doi":"10.1101/2023.12.11.571170","DOIUrl":"https://doi.org/10.1101/2023.12.11.571170","url":null,"abstract":"Awards can propel academic careers. They also reflect the culture and values of the scientific community. But, do awards incentivise greater transparency, diversity, and openness in science? Our cross-disciplinary survey of 222 awards for the \"best\" journal articles across all 27 SCImago subject areas revealed that journals and learned societies administering such awards generally publish little detail on their procedures and criteria. Award descriptions are brief, rarely including contact details or information on the nominations pool. Nominations of underrepresented groups are not explicitly encouraged and concepts that align with Open Science are almost absent from the assessment criteria. Instead, such awards increasingly rely on article level impact metrics. USA-affiliated researchers dominated the winner's pool (48%), while researchers from the Global South and developing countries were uncommon (11%). Sixty-one percent of individual winners were men. Thus, Best Paper awards miss the global calls for greater transparency and equitable access to academic recognition.","PeriodicalId":501568,"journal":{"name":"bioRxiv - Scientific Communication and Education","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138575736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Rendering protein structures inside cells at the atomic level with Unreal Engine","authors":"Muyuan Chen","doi":"10.1101/2023.12.08.570879","DOIUrl":"https://doi.org/10.1101/2023.12.08.570879","url":null,"abstract":"While the recent development of cryogenic electron tomography (CryoET) makes it possible to identify various macromolecules inside cells and determine their structure at near-atomic resolution, it remains challenging to visualize the complex cellular environment at the atomic level. One of the main hurdles in cell visualization is to render the millions of molecules in real time computationally. Here, using a video game engine, we demonstrate the capability of rendering massive biological macromolecules at the atomic level within their native environment. To facilitate the visualization, we also provide tools that help the interactive navigation inside the cells, as well as software that converts protein structures identified using CryoET to a scene that can be explored with the game engine.","PeriodicalId":501568,"journal":{"name":"bioRxiv - Scientific Communication and Education","volume":"98 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138575146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Melanie M. Cooper, Marcos D Caballero, Justin H Carmel, Erin M Duffy, Cori L Fata-Hartley, Deborah G Herrington, Paul C Nelson, James T Laverty, Lynmarie A Posey, Jon R Stoltzfus, Ryan L Stowe, Ryan D Sweeder, Stuart Tessmer, Sonia M Underwood, Diane Ebert-May
{"title":"Beyond Active Learning: Using 3-Dimensional Learning to Create Scientifically Authentic, Student-Centered Classrooms","authors":"Melanie M. Cooper, Marcos D Caballero, Justin H Carmel, Erin M Duffy, Cori L Fata-Hartley, Deborah G Herrington, Paul C Nelson, James T Laverty, Lynmarie A Posey, Jon R Stoltzfus, Ryan L Stowe, Ryan D Sweeder, Stuart Tessmer, Sonia M Underwood, Diane Ebert-May","doi":"10.1101/2023.12.05.570209","DOIUrl":"https://doi.org/10.1101/2023.12.05.570209","url":null,"abstract":"In recent years, much of the emphasis for transformation of introductory STEM courses has focused on \"active learning\", and while this approach has been shown to produce more equitable outcomes for students, the construct of \"active learning\" is somewhat ill-defined, and can encompass a wide range of pedagogical techniques. Here we present an alternative approach for how to think about the transformation of STEM courses that focuses instead on what students should know and what they can do with that knowledge. This approach, known as three-dimensional learning (3DL), emerged from the National Academy's \"A Framework for K-12 Science Education\", which describes a vision for science education that centers the role of constructing productive causal accounts for phenomena. Over the past 10 years, we have collected data from introductory biology, chemistry, and physics courses to assess the impact of such a transformation on higher education courses. Here we report on an analysis of video data of class sessions that allows us to characterize these sessions as active, 3D, neither, or both 3D and active. We find that 3D classes are likely to also involve student engagement (i.e. be active), but the reverse is not necessarily true. That is, focusing on transformations involving 3DL also tends to increase student engagement, whereas focusing solely on student engagement might result in courses where students are engaged in activities that do not involve meaningful engagement with core ideas of the discipline.","PeriodicalId":501568,"journal":{"name":"bioRxiv - Scientific Communication and Education","volume":"83 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138554841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amber K Weiner, Antonia Palmer, Melanie Frost Moll, Gavin Lindberg, Kevin Reidy, Sharon J Diskin, Crystal L Mackall, John M. Maris, Patrick J Sullivan
{"title":"Advancing childhood cancer research through young investigator and advocate collaboration","authors":"Amber K Weiner, Antonia Palmer, Melanie Frost Moll, Gavin Lindberg, Kevin Reidy, Sharon J Diskin, Crystal L Mackall, John M. Maris, Patrick J Sullivan","doi":"10.1101/2023.12.03.569769","DOIUrl":"https://doi.org/10.1101/2023.12.03.569769","url":null,"abstract":"Cancer advocates and researchers share the same goal of driving science forward to create new therapies to cure more patients. The power of combining cancer researchers and advocates has become of increased importance due to their complementary expertise. Therefore, advocacy is a critical component of grant structures and has become embedded into the Stand Up 2 Cancer (SU2C) applications. To date, the optimal way to combine these skillsets and experiences to benefit the cancer community is currently unknown. The Saint Baldrick's Foundation (SBF)-SU2C now called St. Baldrick's Empowering Pediatric Immunotherapies for Childhood Cancer (EPICC) Team is comprised of a collaborative network across nine institutions in the United States and Canada. Since SU2C encourages incorporating advocacy into the team structure, we have assembled a diverse team of advocates and scientists by nominating a young investigator (YI) and advocate from each site. In order to further bridge this interaction beyond virtual monthly and yearly in person meetings, we have developed a questionnaire and conducted interviews. The questionnaire is focused on understanding each member's experience at the intersection between science/advocacy, comparing to previous experiences, providing advice on incorporating advocacy into team science and discussing how we can build on our work. Through creating a YI and advocate infrastructure, we have cultivated a supportive environment for meaningful conversation that impacts the entire research team. We see this as a model for team science by combining expertise to drive innovation forward and positively impact pediatric cancer patients, and perhaps those with adult malignancies.","PeriodicalId":501568,"journal":{"name":"bioRxiv - Scientific Communication and Education","volume":"26 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138544312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The pitfalls of regression to the mean in bivariate timeseries analysis","authors":"Tom M M Versluys","doi":"10.1101/2023.12.02.569707","DOIUrl":"https://doi.org/10.1101/2023.12.02.569707","url":null,"abstract":"Plastic traits, capable of taking multiple forms, often correlate with one another or with features of the environment when measured over time. These patterns of correlated change are sometimes assumed to reflect adaptive plasticity, such as coevolved 'integrated phenotypes' within individuals, synchronisation between social or mating partners, or responses to environmental gradients. Such plasticity is ecologically and evolutionarily important, so there is considerable interest in understanding how it varies between individuals and groups. However, 'regression to the mean', the statistical tendency for traits to revert to the average value, may create the illusion of strong bivariate correlations in timeseries data, including substantial but meaningless variation between individuals. We demonstrate this using simulated and real data, revealing how regression to the mean can create bias both within and between samples. We then show, however, that its effects can often be eliminated using autoregressive models. We also offer a detailed discussion of how and why regression to the mean arises, introducing the idea that it is both a statistical and ecological phenomenon.","PeriodicalId":501568,"journal":{"name":"bioRxiv - Scientific Communication and Education","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138544316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Setting a trajectory for CO2 emission reduction in academic research: a case study of a French biophysics laboratory","authors":"Caroline Giuglaris, Jean de Seze","doi":"10.1101/2023.11.30.569421","DOIUrl":"https://doi.org/10.1101/2023.11.30.569421","url":null,"abstract":"Climate change is a scientifically proven phenomenon caused by anthropic activities, which requires urgent and significant reductions in greenhouse gas emissions. Despite the increasing vocalization of scientists advocating for political action, the issue of the environmental impact of academic research has been neglected for some time. Now, field-dependent initiatives have emerged, such as the non-profit organization My Green Lab, which delivers green certifications to biology and chemistry labs, and institute-dependent programs, such as the Max Planck Sustainability Network. In France, an independent collective was founded in 2019 to address the environmental footprint of academic research following the COP 15 Paris Agreement: Labos 1Point5. Building on their resources and methodology, we have quantified the overall carbon footprint of our biophysics laboratory, considering energy consumption, purchases and travel, for the years 2021. We investigate how this footprint would decrease by 2030 following systemic changes (change in the energy mix, improvements from suppliers), and we propose scenarios based on additional voluntary initiatives to reach a final reduction of -50% compared to the 2021 baseline, following IPCC targets. We have now formed a group of more than 20 colleagues to achieve this goal, emphasizing the importance of collective action. Finally, we provide advices based on our own experience to assist others in addressing the environmental impact of academic research in their respective laboratories.","PeriodicalId":501568,"journal":{"name":"bioRxiv - Scientific Communication and Education","volume":"192 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138544314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}