THE IMPACT OF ACCELERATION IN SECONDARY MATH ON ALL STUDENTS

Mathematics is a collection of mental practices, attitudes and tools that humans have developed in our quest to understand the world (Singh & Brownwell, 2019). Educators have identified math and reading as the two core subjects that are essential for academic success. Achievement in math is considered to be the one of the most important predictors of economic success (Chazan, 2008). Educational leaders have become increasingly interested in finding the ideal placement for students to gain access to benchmark math curriculum that opens doors for advancement. In a competitive global market, educational and political leaders in the United States have continuously analyzed curriculum and sequencing practices in order to leverage their citizens in a position to be at the leading edge of achievement and contribution to the world’s economy. Acceleration is one way, which schools have attempted to gain an advantage (Spielhagen, 2006). Accelerating curriculum often involves compacting concepts and moving through curriculum at a faster pace than previous practices. Acceleration combines elements of tracking (and detracking) and equity into the conversation. Systems thinking is an essential component for school district leaders as they consider the critical initiative of detracking and accelerating all students that must be well planned with a reasonable timeline (Burris, 2008). In an effort to identify effective methods for preparing math students to be future-ready, this study measures the impact of acceleration in 8th grade Algebra 1. Quantitative methods are used to study the impact of acceleration on student test scores and the number of advanced math courses students enroll in prior to graduating from high school. The study also investigates the impact of acceleration on the diversity that exists in school’s advanced math courses. Finally, the study will determine how the COVID 19 pandemic altered progress for schools that accelerate all students compared to schools that do not accelerate

An International Empirical Examination of Technology Architecture in the United States

This study examines information technology architecture by replicating a North American survey in Taiwan, India and England and evaluates the impact of each nation\u27s economic status on information technology architecture used by that nation\u27s businesses. The results suggest that the original taxonomy of information technology architecture (centralized, decentralized, cooperative centralized, and cooperative distributed) is valid and unaffected by national economic status

Anisotropic dehydration of hydrogel surfaces

Efforts to develop tissue-engineered skin for regenerative medicine have explored natural, synthetic, and hybrid hydrogels. The creation of a bilayer material, with the stratification exhibited by native skin is a complex problem. The mechanically robust, waterproof epidermis presents the stratum corneum at the tissue/air interface, which confers many of these protective properties. In this work we explore the effect of high temperatures on alginate hydrogels, which are widely employed for tissue engineering due to their excellent mechanical properties and cellular compatibility. In particular, we investigate the rapid dehydration of the hydrogel surface which occurs following local exposure to heated surfaces with temperatures in the range 100-200 oC. We report the creation of a mechanically strengthened hydrogel surface, with improved puncture resistance and increased coefficient of friction, compared to the unheated surface. The use of a mechanical restraint during heating promoted differences in the rate of mass loss; the rate of temperature increase within the hydrogel, in the presence and absence of restraint, is simulated and discussed. It is hoped that the results will be of use in the development of processes suitable for preparing skin-like analogues; application areas could include wound healing and skin restoration

AIS Teaching Curation Project: The Introductory Course in Information Systems

The Association for Information Systems (AIS) Teaching Curation Project aims to highlight and summarize research within the association that focuses on the major courses taught in Information Systems (IS) programs. The present literature review is a companion to a curation website specific to the introductory course in IS. In this review, we identify three major themes that pervade this literature: IS program enrollment, pedagogy, and curriculum. We use these themes to structure our summary of the research on the importance of the introductory course and various approaches to instruction. These themes also provide a framework for positioning future research. For instructors of the introductory course, this review and the companion website hosted by the AIS serve as a reference for recommendations and inspiration

AIS Teaching Curation Project: The Introductory Course in Information Systems

The Association for Information Systems (AIS) Teaching Curation Project aims to highlight and summarize research within the association that focuses on the major courses taught in Information Systems (IS) programs. The present literature review is a companion to a curation website specific to the introductory course in IS. In this review, we identify three major themes that pervade this literature: IS program enrollment, pedagogy, and curriculum. We use these themes to structure our summary of the research on the importance of the introductory course and various approaches to instruction. These themes also provide a framework for positioning future research. For instructors of the introductory course, this review and the companion website hosted by the AIS serve as a reference for recommendations and inspiration

Lake Granbury and Lake Whitney Assessment Initiative

A team of Texas AgriLife Research, Baylor University and University of Texas at Arlington researchers studied the biology and ecology of Prymnesium parvum (golden algae) in Texas lakes using a three-fold approach that involved system-wide monitoring, experimentation at the microcosm and mesocosm scales, and mathematical modeling. The following are conclusions, to date, regarding this organism’s ecology and potential strategies for mitigation of blooms by this organism

Noise effect on Grover algorithm

The decoherence effect on Grover algorithm has been studied numerically through a noise modelled by a depolarizing channel. Two types of error are introduced characterizing the qubit time evolution and gate application, so the noise is directly related to the quantum network construction. The numerical simulation concludes an exponential damping law for the successive probability of the maxima as time increases. We have obtained an allowed-error law for the algorithm: the error threshold for the allowed noise behaves as Eth(N) ~ 1/N1.1 (N being the size of the data set). As the power of N is almost one, we consider the Grover algorithm as robust to a certain extent against decoherence. This law also provides an absolute threshold: if the free evolution error is greater than 0.043, Grover algorithm does not work for any number of qubits affected by the present error model. The improvement in the probability of success, in the case of two qubits has been illustrated by using a fault-tolerant encoding of the initial state by means of the [[7,1,3]] quantum code.Comment: Accepted to be published in Eur. Phys. J. D (2008