Grounded relevance: how exploring soil data can promote perceptions of data relevance, data literacy, learning, and motivation [0.03%]
扎根的相关性：探索土壤数据如何促进对数据相关性、数据素养、学习和动机的认识
Ian Thacker,Rebecca Schroeder,Sara Shields-Menard et al.
Ian Thacker et al.
The ability to analyze, interpret, and draw insights from data and data visualizations is quickly becoming a necessary skill for success across multiple disciplines and careers. However, people struggle to make meaning from data, and tradit...
Automated scoring of student videos in medical education: a comparison between a large language model and expert evaluation [0.03%]
医学教育中学生视频的自动化评分：大型语言模型与专家评价的比较
Yavuz Selim Kıyak,Özlem Ülkü Bulut,Özlem Coşkun et al.
Yavuz Selim Kıyak et al.
Video-based assignments are used in medical education, yet expert scoring is time-intensive. Large language models (LLMs) offer scalable alternatives, but their validity for evaluating multimodal student work is uncertain. We examined wheth...
Microbiology Leaders Evolving and Accountable to Progress (MicroBio-LEAP) project: educating, training, and inspiring leaders within the microbial sciences [0.03%]
微生物学领导力进化与问责制（MicroBio-LEAP）项目：在微生物科学领域内培养、培训和激发领导者教育
Carla Y Bonilla,Christine M Pribbenow,Lee Hughes et al.
Carla Y Bonilla et al.
Given their formal positions, microbiology leaders have the capability to influence policies and practices that affect the culture of their workplaces and organizations. The Microbiology Leaders Evolving and Accountable to Progress (MicroBi...
Using AI as a teaching partner: enhancing critical thinking and digital literacy in microbiology [0.03%]
利用人工智能作为教学伙伴：在微生物学中增强批判性思维和数字素养
Ines Rauschenbach
Ines Rauschenbach
Artificial intelligence (AI) is rapidly reshaping higher education, offering both opportunities and challenges for teaching and learning. As generative AI tools become increasingly accessible, instructors must balance the benefits of enhanc...
Survey of student perceptions and use of artificial intelligence when reading primary literature in the biological sciences [0.03%]
关于学生在生物学领域阅读原始文献时对人工智能的感知和使用的调查
Erin L Zimmer,Michael I Zimmer
Erin L Zimmer
Artificial intelligence (AI) tools are increasingly used by students in higher education, yet little is known about how they are applied when reading primary scientific literature. This study investigated how undergraduate biology students ...
Strategic AI-human collaboration for biology assessment design: a practical workflow [0.03%]
生物评估设计的AI与人力协同策略：实用工作流程
Parul Khurana,Hitesh Rai Kathuria
Parul Khurana
Biology instructors increasingly use generative artificial intelligence (AI) tools to create assessment rubrics but lack systematic workflows for ensuring scientific accuracy in AI-generated criteria. This article presents a five-phase work...
Using artificial intelligence as a mindtool to foster critical thinking in biology education [0.03%]
运用人工智能作为思维工具来培养生物学教育中的批判性思维
Mary V Mawn,Jacqueline M Washington
Mary V Mawn
Artificial intelligence tools are increasingly accessible and have the potential to offer learners innovative ways to promote deep learning and engagement with academic content. These tools can be used to support diverse learners, improve a...
Integrating STEM career exploration into busy introductory biology courses through a student-driven podcast project [0.03%]
通过学生驱动的播客项目将STEM职业探索整合到繁忙的基础生物学课程中
Joanna I Giza,Canan Karaalioglu
Joanna I Giza
Introductory biology courses at 2- and 4-year colleges attract students from diverse disciplines, fulfilling both science prerequisites and general education requirements. Therefore, these introductory classes provide an ideal opportunity t...
Developing metacognitive knowledge for effective AI-supported study behaviors in undergraduate biology: recommendations for instructors [0.03%]
关于有效利用人工智能支持大学生物学学习行为的元认知知识的发展：给教师的建议
Vidya Adlakha,Madeline Arledge,Patrick McCay et al.
Vidya Adlakha et al.
The use of effective study behaviors is essential for student academic performance and persistence. Currently, it is reported that college students use generative artificial intelligence (AI) to help them prepare for courses, suggesting the...
Bad AI-generated images can be good for teaching visual literacy in biology [0.03%]
糟糕的AI生成图像可用于教授生物学视觉素养技能
Crystal Uminski
Crystal Uminski
Artificial intelligence (AI) has rapidly improved in its ability to produce polished and realistic visual representations of biological structures and processes, yet most AI-generated images still contain factual inaccuracies, inconsistenci...