A Systematic Approach To Promote Environmental Engineering Students' Learning in Environmental Molecular Microbiology.
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ABSTRACT:
SUBMITTER: Wang S
PROVIDER: S-EPMC7976779 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Investigative- and cooperative-based learning strategies have been used effectively in a variety of classrooms to enhance student learning and engagement. In the General Microbiology laboratory for juniors and seniors at James Madison University, these strategies were combined to make a semester-long, investigative, cooperative learning experience involving culture and identification of microbial isolates that the students obtained from various environments. To assess whether this strategy was successful, students were asked to complete a survey at the beginning and at the end of the semester regarding their comfort level with a variety of topics. For most of the topics queried, the students reported that their comfort had increased significantly during the semester. Furthermore, this group of students thought that the quality of this investigative lab experience was much better than that of any of their previous lab experiences.
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Project description:Learning the tools and conventions of expert communication in the sciences provides multiple benefits to bioscience students, yet often these skills are not formally taught. To address this need, we designed a writing-intensive microbiology course on emerging infectious diseases to provide upper-division students with science-specific writing skills along with disciplinary course content. The course followed the guidelines of our university's Writing Intensive Curriculum (WIC) program. Students wrote a press release, a case study, a controversy/position paper, and a grant prospectus, and revised drafts after feedback. To assess the course, in 2015 and 2016 we administered pre-post surveys and collected writing samples for analysis. Students reported on their experience, training, skills, and knowledge before taking the course. They then rated the extent to which the assignments, lectures, in-class activities, and writing activities contributed to their attainment of the learning outcomes of the course. Students entering the class were inexperienced in tools of science writing and the specific genres covered by the class. Their confidence levels rose in both skills and knowledge. Feedback from instructors was cited as most helpful in the majority of the areas where students reported the most gains. The survey provided evidence that discipline-specific knowledge had been acquired through writing activities. Teaching science writing by allowing the students to write "fiction" (e.g., a case report about a fictional patient) was effective in maintaining a high level of interest, both in learning the conventions of the genre and in seeking out detailed information about emerging infectious diseases. Both the course structure and the specific assignments would be useful at other institutions to teach science writing.
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Project description:BackgroundTraditional teaching of medical microbiology has revolved around an organism centric, didactic lecture approach, lacking clinical relevance and appeal. Studies have shown that case-based learning in comparison to didactic lectures leads to a greater comprehension and understanding of the subject. To conduct a pilot study in our medical. College for the current MBBS batch (2019) (following the old pattern of syllabus), on student perceptions on case based learning (CBL) before the new Competency based undergraduate curriculum is rolled out for 2021 batch coming to second year of MBBS.MethodsThis pilot study was conducted at a medical college. The study was designed as an observational study on educational research and was approved by the institutional ethical committee (IEC). Study participants were second MBBS students willing to participate in the study (n = 60). Four topics were chosen to be taught as casebased scenarios as per the new CBME syllabus. Six weeks after the first CBL session was conducted, a survey questionnaire was given to the students to share their perceptions anonymously. The questionnaire had questions framed to assess the students' perception about CBL. The evaluation was done on a 5-point Likert. The responses collected were compiled in Microsoft excel sheet and the data was analysed statistically. Faculty perspective was also gathered.ResultsMajority of the students perceived CBL positively. There was a shift in the student's perspective towards the subject of microbiology, from being perceived earlier as theoretical and non-clinical to being perceived as appealing and clinically relevant.
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Project description:We have developed and implemented an undergraduate microbiology course in which students isolate, characterize, and perform whole genome assembly and analysis of Salmonella enterica from stream sediments and poultry litter. In the development of the course and over three semesters, successive teams of undergraduate students collected field samples and performed enrichment and isolation techniques specific for the detection of S. enterica. Eighty-eight strains were confirmed using standard microbiological methods and PCR of the invA gene. The isolates' genomes were Illumina-sequenced by the Center for Food Safety and Applied Nutrition at the FDA and the Virginia state Division of Consolidated Laboratory Services as part of the GenomeTrakr program. Students used GalaxyTrakr and other web- and non-web-based platforms and tools to perform quality control on raw and assembled sequence data, assemble, and annotate genomes, identify antimicrobial resistance and virulence genes, putative plasmids, and other mobile genetic elements. Strains with putative plasmid-borne antimicrobial resistance genes were further sequenced by students in our research lab using the Oxford Nanopore MinIONTM platform. Strains of Salmonella that were isolated include human infectious serotypes such as Typhimurium and Infantis. Over 31 of the isolates possessed antibiotic resistance genes, some of which were located on large, multidrug resistance plasmids. Plasmid pHJ-38, identified in a Typhimurium isolate, is an apparently self-transmissible 183 kb IncA/C2 plasmid that possesses multiple antimicrobial resistance and heavy-metal resistance genes. Plasmid pFHS-02, identified in an Infantis isolate, is an apparently self-transmissible 303 kb IncF1B plasmid that also possesses numerous heavy-metal and antimicrobial resistance genes. Using direct and indirect measures to assess student outcomes, results indicate that course participation contributed to cognitive gains in relevant content knowledge and research skills such as field sampling, molecular techniques, and computational analysis. Furthermore, participants self-reported a deeper interest in scientific research and careers as well as psychosocial outcomes (e.g., sense of belonging and self-efficacy) commonly associated with student success and persistence in STEM. Overall, this course provided a powerful combination of field, wet lab, and computational biology experiences for students, while also providing data potentially useful in pathogen surveillance, epidemiological tracking, and for the further study of environmental reservoirs of S. enterica.
| S-EPMC8100199 | biostudies-literature
Project description:Education 4.0 is considered a significant technology for teaching and learning. The present study aims to explore the impact and the importance of Education 4.0 for improving English language learning in the perception of students in India, especially Hyderabad City. Moreover, Education 4.0 has bloomed as an important need to move along with the fast-growing education system of the world. But, it is a fact that many Indian students have complications and difficulties in learning English due to many reasons. The traditional methods of teaching are one of those reasons. Students learn only through the conventional methods, and they may find it boring and not effective. The education and mode of teaching have changed a lot, and it has attained a newer form of using the technology. Moreover, in the current era, where work from home and online teaching has become a new normal throughout the world, the technology used for teaching is inseparable. Hence, the authors are motivated to study the impact of Education 4.0 on improving English learning from Hyderabad, India. The methodology of the study has applied quantitative research. The study has employed pre-tested, close-ended questionnaires and post-assessment to gather data from the respondents to understand students' performance in English language learning after implying Education 4.0. The five-point Likert scale has been used to analyse the collected data and to get mean values of responses. The total number of respondents is 145 students who pursue their engineering degrees in the select region. Among the collected data, most of them were from urban. The data obtained from the respondents proved that there is a direct correlation between the students' perception and implementation of Education 4.0 in learning the English language. This study indicated that the respondents upheld Education 4.0 to improve English language learning in Hyderabad, India.
| S-EPMC8809588 | biostudies-literature
Project description:Service learning is defined as a strategy in which students apply what they have learned in the classroom to a community service project. Many educators would agree that students often learn best through teaching others. This premise was the motivation for a new service-learning project in which undergraduate microbiology students developed and taught hands-on microbiology lessons to local elementary school children. The lessons included teaching basic information about microbes, disease transmission, antibiotics, vaccines, and methods of disease prevention. This service-learning project benefitted the college students by enforcing their knowledge of microbiology and provided them an opportunity to reach out to children within their community. This project also benefitted the local schools by teaching the younger students about microbes, infections, and handwashing. In this paper, I discuss the development and implementation of this new microbiology service-learning project, as well as the observed impact it had on everyone involved.
| S-EPMC4798824 | biostudies-literature
Project description:In an effort to improve and assess student learning, there has been a push to increase the incorporation of discovery-driven modules and those that contain real-world relevance into laboratory curricula. To further this effort, we have developed, implemented, and assessed an undergraduate microbiology laboratory experiment that requires students to use the scientific method while brewing beer. The experiment allows students to brew their own beer and characterize it based on taste, alcohol content, calorie content, pH, and standard reference method. In addition, we assessed whether students were capable of achieving the module learning objectives through a pre-/posttest, student self-evaluation, exam-embedded questions, and an associated worksheet. These objectives included describing the role of the brewing ingredients and predicting how altering the ingredients would affect the characteristics of the beer, amongst others. By completing this experimental module, students accomplished the module objectives, had greater interest in brewing, and were more likely to view beer in scientific terms. Journal of Microbiology & Biology Education.
| S-EPMC4690564 | biostudies-literature
Project description:To understand the intricacies of microorganisms at the molecular level requires making sense of copious volumes of data such that it may now be humanly impossible to detect insightful data patterns without an artificial intelligence application called machine learning. Applying machine learning to address biological problems is expected to grow at an unprecedented rate, yet it is perceived by the uninitiated as a mysterious and daunting entity entrusted to the domain of mathematicians and computer scientists. The aim of this review is to identify key points required to start the journey of becoming an effective machine learning practitioner. These key points are further reinforced with an evaluation of how machine learning has been applied so far in a broad scope of real-life microbiology examples. This includes predicting drug targets or vaccine candidates, diagnosing microorganisms causing infectious diseases, classifying drug resistance against antimicrobial medicines, predicting disease outbreaks and exploring microbial interactions. Our hope is to inspire microbiologists and other related researchers to join the emerging machine learning revolution.
| S-EPMC8498514 | biostudies-literature
Project description:BackgroundUncovering complex network structures from a biological system is one of the main topic in system biology. The network structures can be inferred by the dynamical Bayesian network or Granger causality, but neither techniques have seriously taken into account the impact of environmental inputs.ResultsWith considerations of natural rhythmic dynamics of biological data, we propose a system biology approach to reveal the impact of environmental inputs on network structures. We first represent the environmental inputs by a harmonic oscillator and combine them with Granger causality to identify environmental inputs and then uncover the causal network structures. We also generalize it to multiple harmonic oscillators to represent various exogenous influences. This system approach is extensively tested with toy models and successfully applied to a real biological network of microarray data of the flowering genes of the model plant Arabidopsis Thaliana. The aim is to identify those genes that are directly affected by the presence of the sunlight and uncover the interactive network structures associating with flowering metabolism.ConclusionWe demonstrate that environmental inputs are crucial for correctly inferring network structures. Harmonic causal method is proved to be a powerful technique to detect environment inputs and uncover network structures, especially when the biological data exhibit periodic oscillations.
| S-EPMC2799448 | biostudies-literature