Robert J. Miller

Bio: Robert J. Miller is an academic researcher from University of Toronto. The author has contributed to research in topics: Particle accelerator & Academic achievement. The author has an hindex of 26, co-authored 71 publications receiving 3654 citations. Previous affiliations of Robert J. Miller include Texas A&M University & Stanford University.

What large-scale survey research tells us about teacher effects on student achievement: insights from the prospects study of elementary schools

Abstract: This report is about conceptual and methodological issues that arise when educational researchers use data from large-scale, survey research studies to investigate teacher effects on student achievement. In the report, we illustrate these issues by reporting on a series of analyses we conducted using data from Prospects: The Congressionally Mandated Study of Educational Opportunity. This large-scale, survey research effort gathered a rich store of data on instructional processes and student achievement in a large sample of U.S. elementary schools during the early 1990s as part of the federal government's evaluation of the Title I program. We use data from Prospects to estimate the "overall" size of teacher effects on student achievement and to test some specific hypotheses about why such effects occur. On the basis of these analyses, we draw some substantive conclusions about the magnitude and sources of teacher effects on student achievement and suggest some ways that survey-based research on teaching can be improved. Disciplines Curriculum and Instruction | Educational Administration and Supervision | Educational Assessment, Evaluation, and Research | Education Policy Comments View on the CPRE website. This report is available at ScholarlyCommons: http://repository.upenn.edu/cpre_researchreports/31 What Large-Scale, Survey Research Tells Us About Teacher Effects On Student Achievement: Insights from the Prospects Study of Elementary Schools Brian Rowan, Richard Correnti, and Robert J. Miller CPRE Research Report Series RR-051

Using research on employees' performance to study the effects of teachers on students' achievement?

Abstract: The study reported here used general ideas about employees' performance to develop and test a model of teachers' effects on students' achievement in mathematics using data from the longitudinal files of the National Education Longitudinal Study of 1988 (NELS:88). A general model of employees' performance suggests that the effects of teachers on students' achievement can be explained by three general classes of variables : teachers' ability, motivation and work situation. This article discusses how these general classes of variables can be operationalized in the NELS:88 data set and presents estimates of models of the combined effects of these classes of variables on students' achievement. The analyses revealed that teachers' knowledge of subject matter and expectancy motivation have direct effects on students' achievement in mathematics and that the size of these effects depends on the average levels of ability of students in a school

Glossary of Terms used in Photochemistry

Abstract: This chapter presents a Glossary that was prepared by the Photochemistry Commission of the Organic Chemistry Division of the International Union of Pure and Applied Chemistry during the period 1978–1985 The purpose of the glossary is to provide definitions of terms and symbols commonly used in the field in order to achieve consensus on the adoption of some definitions and on the abandonment of inadequate terms

A Theoretical and Empirical Analysis of the Roles of Instructional Leadership, Teacher Collaboration, and Collective Efficacy Beliefs in Support of Student Learning.

Abstract: Principals’ instructional leadership may support the degree to which teachers work together to improve instruction, and together leadership and teacher collaboration may contribute to school effectiveness by strengthening collective efficacy beliefs. We found a significant direct effect of leadership on teacher collaboration. Further, leadership and collaboration predicted collective efficacy beliefs. Finally, achievement differences among schools were predicted directly by collective efficacy beliefs and indirectly by instructional leadership and teacher collaboration. These findings suggest that strong instructional leadership can create structures to facilitate teachers’ work in ways that strengthen organizational belief systems, and, in concert, these factors foster student learning.

Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement

Abstract: Preface Chapter 1 The challenge Chapter 2 The nature of the evidence: A synthesis of meta-analyses Chapter 3 The argument: Visible teaching and visible learning Chapter 4: The contributions from the student Chapter 5 The contributions from the home Chapter 6 The contributions from the school Chapter 7 The contributions from the teacher Chapter 8 The contributions from the curricula Chapter 9 The contributions from teaching approaches - I Chapter 10 The contributions from teaching approaches - II Chapter 11: Bringing it all together Appendix A: The 800 meta-analyses Appendix B: The meta-analyses by rank order References

Evidence for wavelike energy transfer through quantum coherence in photosynthetic systems

Abstract: Photosynthesis provides the primary energy source for almost all life on Earth. One of its remarkable features is the efficiency with which energy is transferred within the light harvesting complexes comprising the photosynthetic apparatus. Suspicions that quantum trickery might be involved in the energy transfer processes at the core of photosynthesis are now confirmed by a new spectroscopic study. The study reveals electronic quantum beats characteristic of wavelike energy motion within the bacteriochlorophyll complex from the green sulphur bacterium Chlorobium tepidum. This wavelike characteristic of the energy transfer process can explain the extreme efficiency of photosynthesis, in that vast areas of phase space can be sampled effectively to find the most efficient path for energy transfer. A spectroscopic study has directly monitored the quantum beating arising from remarkably long-lived electronic quantum coherence in a bacteriochlorophyll complex. This wavelike characteristic of the energy transfer process can explain the extreme efficiency of photosynthesis, in that vast areas of phase space can be sampled effectively to find the most efficient path for energy transfer. Photosynthetic complexes are exquisitely tuned to capture solar light efficiently, and then transmit the excitation energy to reaction centres, where long term energy storage is initiated. The energy transfer mechanism is often described by semiclassical models that invoke ‘hopping’ of excited-state populations along discrete energy levels1,2. Two-dimensional Fourier transform electronic spectroscopy3,4,5 has mapped6 these energy levels and their coupling in the Fenna–Matthews–Olson (FMO) bacteriochlorophyll complex, which is found in green sulphur bacteria and acts as an energy ‘wire’ connecting a large peripheral light-harvesting antenna, the chlorosome, to the reaction centre7,8,9. The spectroscopic data clearly document the dependence of the dominant energy transport pathways on the spatial properties of the excited-state wavefunctions of the whole bacteriochlorophyll complex6,10. But the intricate dynamics of quantum coherence, which has no classical analogue, was largely neglected in the analyses—even though electronic energy transfer involving oscillatory populations of donors and acceptors was first discussed more than 70 years ago11, and electronic quantum beats arising from quantum coherence in photosynthetic complexes have been predicted12,13 and indirectly observed14. Here we extend previous two-dimensional electronic spectroscopy investigations of the FMO bacteriochlorophyll complex, and obtain direct evidence for remarkably long-lived electronic quantum coherence playing an important part in energy transfer processes within this system. The quantum coherence manifests itself in characteristic, directly observable quantum beating signals among the excitons within the Chlorobium tepidum FMO complex at 77 K. This wavelike characteristic of the energy transfer within the photosynthetic complex can explain its extreme efficiency, in that it allows the complexes to sample vast areas of phase space to find the most efficient path.

Effects of Teachers’ Mathematical Knowledge for Teaching on Student Achievement:

Abstract: This study explored whether and how teachers’ mathematical knowledge for teaching contributes to gains in students’ mathematics achievement. The authors used a linear mixed-model methodology in which first and third graders’ mathematical achievement gains over a year were nested within teachers, who in turn were nested within schools. They found that teachers’ mathematical knowledge was significantly related to student achievement gains in both first and third grades after controlling for key student- and teacher-level covariates. This result, while consonant with findings from the educational production function literature, was obtained via a measure focusing on the specialized mathematical knowledge and skills used in teaching mathematics. This finding provides support for policy initiatives designed to improve students’ mathematics achievement by improving teachers’ mathematical knowledge.

Funnels, pathways, and the energy landscape of protein folding: A synthesis

Abstract: The understanding, and even the description of protein folding is impeded by the complexity of the process. Much of this complexity can be described and understood by taking a statistical approach to the energetics of protein conformation, that is, to the energy landscape. The statistical energy landscape approach explains when and why unique behaviors, such as specific folding pathways, occur in some proteins and more generally explains the distinction between folding processes common to all sequences and those peculiar to individual sequences. This approach also gives new, quantitative insights into the interpretation of experiments and simulations of protein folding thermodynamics and kinetics. Specifically, the picture provides simple explanations for folding as a two-state first-order phase transition, for the origin of metastable collapsed unfolded states and for the curved Arrhenius plots observed in both laboratory experiments and discrete lattice simulations. The relation of these quantitative ideas to folding pathways, to uniexponential vs. multiexponential behavior in protein folding experiments and to the effect of mutations on folding is also discussed. The success of energy landscape ideas in protein structure prediction is also described. The use of the energy landscape approach for analyzing data is illustrated with a quantitative analysis of some recent simulations, and a qualitative analysis of experiments on the folding of three proteins. The work unifies several previously proposed ideas concerning the mechanism protein folding and delimits the regions of validity of these ideas under different thermodynamic conditions. © 1995 Wiley-Liss, Inc.