Asking the Wrong Questions About American Science Education: Insights from a Longitudinal Study of High School Biotechnology Lab Instruction
Micklos, D.; Barone, L.
Show abstract
The discussion of American science education is often framed by the questions: Why do American precollege students do poorly on international science assessments and what we are doing wrong? Rather we need to ask: Why do so many international students come to US universities for science, what are we doing right in science, and how do we stay ahead in science education? Poor scores on international assessments belie the fact that the U.S. has the best science education system in the world. Our study of 6,200 high school teachers in 1998 and 2018 documented striking success in retooling classrooms for labbased instruction in biotechnology and provided a pre-COVID-19 snapshot of what is right with American biology education. However, it also highlights the need revitalize our precollege teaching resource with a renewed National Science Foundation commitment to in-service training.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Preprint peer review enhances undergraduate biology students' disciplinary literacy and sense of belonging in STEM 93%
- PROPEL: a scalable model for postbaccalaureate training to promote diversity in the biomedical workforce 92%
- Flying in the Face of Adversity: A Drosophila-based Virtual CURE Provides Semester-long Authentic Research Opportunity to the Flipped Classroom. 92%
Similar papers in this journal
Similar papers in this journal
- Analysis of NIH K99/R00 Awards and the Career Progression of Awardees 92%
- Development and Assessment of a Sustainable PhD Internship Program Supporting Diverse Biomedical Career Outcomes 91%
- The Effect of COVID-19 on the Postdoctoral Experience: a comparison of pre-pandemic and pandemic surveys. 91%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.