Teaching microbiology with generative AI: a survey-style playbook to empower microbiology faculty to integrate AI into courses [0.03%]
利用生成式人工智能教授微生物学：赋能微生物学教师将人工智能融入课程的调查风格指导书
Kara Mosovsky,J Jordan Steel,Michael Barnhart
Kara Mosovsky
Generative artificial intelligence (GenAI) has reached a critical inflection point in STEM education, presenting a challenge to traditional assessment but also an unprecedented opportunity for instructional innovation. For microbiology facu...
Assessment, feedback, and grading practices and philosophies of introductory biology instructors [0.03%]
大学生物入门课程教师的考核、反馈及评分实践与理念评估
Michele L Lemons,Bryan M Dewsbury,Lindsay B Wheeler et al.
Michele L Lemons et al.
While pedagogical research often focuses on assessment, feedback, and grading (AFG) practices, we lack a clear understanding of how instructors both conceptualize and implement these elements of teaching in their courses. To explore on-the-...
Tailoring pedagogical methods to enhance student engagement through a student-faculty partnership in an undergraduate immunology course [0.03%]
通过学生与教师合作量身定制教学方法以增强免疫学课程中的学生参与度
Mustafa G Mujtaba,Dayhana Justiniano
Mustafa G Mujtaba
Getting real-time feedback on pedagogical methods used in the classroom can be a challenge due to a variety of reasons, including the classroom format, instructor lecturing styles, as well as weariness of students to engage instructors. How...
A practical low-cost course module for teaching bacteriophage isolation to undergraduate students [0.03%]
一种用于教授本科生噬菌体分离的低成本课程模块
Luiz Felipe Leomil Coelho,Raíne Piva Amaral,Mateus de Souza Terceti et al.
Luiz Felipe Leomil Coelho et al.
Bacteriophages are viruses that infect bacteria and have gained attention as promising tools against antimicrobial-resistant pathogens. Despite their relevance, phage biology remains underrepresented in undergraduate curricula. This study d...
From AI anxiety to educational opportunity: equitable and practical uses of artificial intelligence in STEM education [0.03%]
从AI焦虑到教育机会：STEM教育中公平而实用的人工智能应用
Sofía Espinosa-Hernández,Miriam E Rodríguez-Pérez,Carlos J Ramírez-Flores
Sofía Espinosa-Hernández
The rapid integration of artificial intelligence into higher education has generated both enthusiasm and concern among STEM educators. Current discourse has largely emphasized risks related to academic integrity, student overreliance, and a...
Learning R with generative AI in a metagenomic data science course [0.03%]
基于元基因组数据科学课程的生成式AI辅助R语言学习
Jeffrey L Blanchard
Jeffrey L Blanchard
Generative artificial intelligence (AI) tools are increasingly used by students in introductory coding courses; however, evidence-based guidance for integrating these tools into biology education remains limited. We examined student experie...
Teaching bioinformatics with generative AI: judgment, uncertainty, and responsibility [0.03%]
生成式人工智能在生物信息学教学中的作用：判断、不确定性与责任
Ashley I Teufel,David A Liberles
Ashley I Teufel
Generative artificial intelligence (AI) tools are rapidly reshaping how students write code, analyze data, and articulate scientific reasoning. In bioinformatics education, where computational workflows intersect with biological interpretat...
Investigating virtual versus hands-on interventions in promoting increased performance, perceived knowledge, and confidence in a large general microbiology course [0.03%]
探究虚拟干预与动手实践干预在提高大型普通微生物学课程成绩、感知知识和信心方面的效果差异
Delaney Worthington,Katriana Popichak,Amelia Hines et al.
Delaney Worthington et al.
Active learning in face-to-face courses is superior to traditional lecturing, especially for women and marginalized students in STEM. Activities can be delivered using a broad variety of techniques, such as concept mapping, think-pair-share...
Leveraging generative artificial intelligence errors to teach appropriate citation usage [0.03%]
利用生成式人工智能的错误来教授适当的引用使用方法
Rishita Shah,Jj L Miranda
Rishita Shah
Educators would benefit from developing course material that increases understanding of generative artificial intelligence (AI). General-purpose large language models (LLMs) popular among students often handle citations incorrectly. These L...
Advanced molecular detection, bioinformatics, and artificial intelligence era in medical laboratory science education [0.03%]
医学实验室科学教育中的先进分子检测、生物信息学和人工智能时代
Ahmet M Muslu,Cody Thompson,Jeffrey Williams et al.
Ahmet M Muslu et al.
The rapid growth of molecular diagnostics, bioinformatics, and artificial intelligence (AI)/machine learning (ML) has transformed laboratory science, but how far accredited medical laboratory science programs in the United States have adopt...