Education and Literacy;Science
Quantum mechanics is difficult to learn because it is counterintuitive, hard to visualize, mathematically challenging, and abstract. The Physics Education Technology (PhET) Project, known for its interactive computer simulations for teaching and learning physics, now includes 18 simulations on quantum mechanics designed to improve learning of this difficult subject. Our simulations include several key features to help students build mental models and intuitions about quantum mechanics: visual representations of abstract concepts and microscopic processes that cannot be directly observed, interactive environments that directly couple students' actions to animations, connections to everyday life, and calculations so students can focus on the concepts rather than the math. Like all PhET simulations, these are developed using the results of education research and feedback from educators, and are tested in student interviews and classroom studies. This article provides an overview of the PhET quantum simulations and their development. We also describe research demonstrating their effectiveness and share some insights about student thinking that we have gained from our research on quantum simulations.
August 1970
Geographic Focus:
Education and Literacy;Science
Quantum mechanics is difficult to learn because it is counterintuitive, hard to visualize, mathematically challenging, and abstract. The Physics Education Technology (PhET) Project, known for its interactive computer simulations for teaching and learning physics, now includes 18 simulations on quantum mechanics designed to improve learning of this difficult subject. Our simulations include several key features to help students build mental models and intuitions about quantum mechanics: visual representations of abstract concepts and microscopic processes that cannot be directly observed, interactive environments that directly couple students' actions to animations, connections to everyday life, and calculations so students can focus on the concepts rather than the math. Like all PhET simulations, these are developed using the results of education research and feedback from educators, and are tested in student interviews and classroom studies. This article provides an overview of the PhET quantum simulations and their development. We also describe research demonstrating their effectiveness and share some insights about student thinking that we have gained from our research on quantum simulations.
August 1970
Geographic Focus:
Education and Literacy;Science
Quantum mechanics is difficult to learn because it is counterintuitive, hard to visualize, mathematically challenging, and abstract. The Physics Education Technology (PhET) Project, known for its interactive computer simulations for teaching and learning physics, now includes 18 simulations on quantum mechanics designed to improve learning of this difficult subject. Our simulations include several key features to help students build mental models and intuitions about quantum mechanics: visual representations of abstract concepts and microscopic processes that cannot be directly observed, interactive environments that directly couple students' actions to animations, connections to everyday life, and calculations so students can focus on the concepts rather than the math. Like all PhET simulations, these are developed using the results of education research and feedback from educators, and are tested in student interviews and classroom studies. This article provides an overview of the PhET quantum simulations and their development. We also describe research demonstrating their effectiveness and share some insights about student thinking that we have gained from our research on quantum simulations.
August 1970
Geographic Focus:
Teach For America has generated glowing press reports, but the evidence regarding whether this alternative teacher-training program works is very unclear, according to a policy brief released today by the Great Lakes Center for Education Research and Practice. The brief, Teach For America: A Review of the Evidence, is written by professor Julian Vasquez Heilig of the University of Texas at Austin, and professor Su Jin Jez of California State University, Sacramento. It offers a comprehensive overview of research on the Teach For America (TFA) program, which recruits graduates of elite colleges to teach for two years in hard-to-staff low-income rural and urban schools. Overall, Jez and Heilig argue, the impact of TFA teachers on student achievement is decidedly mixed and dependent upon the experience level of the TFA teachers and the group of teachers with whom they are compared. Studies show that TFA teachers perform fairly well when compared with one segment of the teaching population: other teachers in the same hard-to-staff schools, who are less likely to be certified or traditionally prepared. Compared with that specific group of teachers, TFA teachers "perform comparably in raising reading scores and a bit better in raising math scores," the brief's authors write. Conversely, studies which compare TFA teachers with credentialed non-TFA teachers find that "the students of novice TFA teachers perform significantly less well in reading and mathematics than those of credentialed beginning teachers," Heilig and Jez write. And in a large-scale Houston study, in which the researchers controlled for experience and teachers' certification status, standard certified teachers consistently outperformed uncertified TFA teachers of comparable experience levels in similar settings. The evidence suggests that TFA teachers do get better -- if they stay long enough to become fully credentialed. Those experienced, fully credentialed TFA teachers "appear to do about as well as other, similarly experienced, credentialed teachers in teaching reading ... [and] as well as, and sometimes better than, that comparison group in teaching mathematics," Heilig and Jez write. However, more than half of TFA teachers leave after two years, and more than 80 percent after three. So it's impossible to know whether those who remain have improved because of additional training and experience -- or simply because of "selection bias:" they were more effective than the four out of five TFA teachers who left. The authors note that this high turnover of TFA teachers also results in significant recurring expenses for recruiting and training replacements. Heilig and Jez urge schools and districts to devote resources to a number of proven remedies for improving achievement, including mentoring programs that pair novice and expert teachers, universal pre-school and reduction in early grade class size. The authors conclude, "Policymakers and stakeholders should consider TFA teachers for what they are -- a slightly better alternative when the hiring pool is comprised primarily of uncertified and emergency teachers -- and continue to consider a broad range of solutions to reshape our system of education to ensure that all students are completing schools with the education they need to be successful."
This policy brief was produced by the Education and the Public Interest Center (EPIC) at the University of Colorado and the Education Policy Research Unit (EPRU) at Arizona State University with funding from the Great Lakes Center for Education Research and Practice. About The Great Lakes Center The mission of the Great Lakes Center is to improve public education for all students in the Great Lakes region through the support and dissemination of high quality, academically sound research on education policy and practices.
August 1970
Geographic Focus: North America / United States
We estimate a knowledge production function for university patenting using an individual effects negative binomial model. We control for R&D expenditures, research field and the presence of a TTO office. We distinguish between three kinds of researchers who staff labs: faculty, postdoctoral students and PhD students. We also examine whether PhDs and postdoctoral scholars contribute equally to patent activity or whether there is a differential effect depending upon visa status. We find patent counts relate positively and significantly to the number of faculty, number of PhD students and number of postdocs. Our results also suggest that not all graduate students and postdocs contribute equally to patenting but that contribution is mediated by visa status. Working Paper 07-06
August 1970
Geographic Focus:
We estimate a knowledge production function for university patenting using an individual effects negative binomial model. We control for R&D expenditures, research field and the presence of a TTO office. We distinguish between three kinds of researchers who staff labs: faculty, postdoctoral students and PhD students. We also examine whether PhDs and postdoctoral scholars contribute equally to patent activity or whether there is a differential effect depending upon visa status. We find patent counts relate positively and significantly to the number of faculty, number of PhD students and number of postdocs. Our results also suggest that not all graduate students and postdocs contribute equally to patenting but that contribution is mediated by visa status. Working Paper 07-06
August 1970
Geographic Focus:
We estimate a knowledge production function for university patenting using an individual effects negative binomial model. We control for R&D expenditures, research field and the presence of a TTO office. We distinguish between three kinds of researchers who staff labs: faculty, postdoctoral students and PhD students. We also examine whether PhDs and postdoctoral scholars contribute equally to patent activity or whether there is a differential effect depending upon visa status. We find patent counts relate positively and significantly to the number of faculty, number of PhD students and number of postdocs. Our results also suggest that not all graduate students and postdocs contribute equally to patenting but that contribution is mediated by visa status. Working Paper 07-06
August 1970
Geographic Focus:
Children and Youth;Education and Literacy
August 1970
Geographic Focus:
