Chemistry in Quantitative Language

Author(s):  
Christopher O. Oriakhi

Chemistry in Quantitative Language is an invaluable guide to solving chemical equations and calculations. It provides readers with intuitive and systematic strategies to carry out the many kinds of calculations they will meet in general chemistry. Each chapter introduces the basic theories and concepts of a particular topic, focusing on relevant equations. Worked examples illuminate each type of problem, with carefully explained step-by-step solutions. Since chemistry problems can be presented in a number of ways, the examples include several versions of each question. To help students understand and retain the procedures, the solutions discuss not only what steps to carry out to reach solutions, but why. Additional problems, with answers, are included at the end of each chapter. The book is intended as a companion to a standard chemistry textbook, but can also be used on its own for review. Its primary audience is students in first-year college and university chemistry classes; it can also help in preparing for GCE Advanced Level, GRE subject test, AP Chemistry, MCAT and similar tests.

Author(s):  
Christopher O. Oriakhi

Problem-solving is one of the most challenging aspects students encounter in general chemistry courses leading to frustration and failure. Consequently, many students become less motivated to take additional chemistry courses after the first year. This book deals with calculations in general chemistry and its primary goal is to prevent frustration by providing students with innovative, intuitive, and systematic strategies to problem-solving in chemistry. The material addresses this issue by providing several sample problems with carefully explained step-by-step solutions for each concept. Key concepts, basic theories, and equations are provided and worked examples are selected to reflect possible ways problems could be presented to students.


2015 ◽  
Vol 19 (2) ◽  
pp. 176-198 ◽  
Author(s):  
Jason M. Martin

First-year college student retention is important to colleges and universities, as well as beyond academia. An analysis was conduced of emergent themes and subthemes from 144 nonreturning students’ stories about school and about home throughout their first-year experience. These students wrote more negative stories about school-related events than they did positive ones and exhibited low levels of campus involvement or engagement. Also, they seemed to struggle with their college living experience, including socially and financially, and dealing with trouble at home. Three of the study’s demographic groups—women, students of color, and first-generation students—represented notable percentages of nonreturners. Researchers should focus more on what goes on during students’ first year of college both on- and off campus to better understand reasons for withdrawing. In doing so, college and university personnel can work more effectively with high school officials, parents, and students to achieve academic and personal success.


1916 ◽  
Author(s):  
◽  
Albert Heinz

Abstract taken from title page: "A critical study of the purpose, form, content and organization of first year mathematics work a the University of Missouri and elsewhere, with a view to finding the courses in mathematics best suited for use in first year college and university work In general".


Crisis ◽  
2015 ◽  
Vol 36 (6) ◽  
pp. 416-423 ◽  
Author(s):  
Richard Shadick ◽  
Faedra Backus Dagirmanjian ◽  
Baptiste Barbot

Abstract. Background: Research on young adults in the general population has identified a relationship between sexual minority identification and risk for suicide. Differential rates of suicidal ideation and attempts have also been found across racial and ethnic groups. Aims: This study examined risk for suicide among university students, based on membership in one or more marginalized groups (sexual minority and racial minority identification). Method: Data were collected from first-year college students (N = 4,345) at an urban university. Structural equation modeling was employed to model a suicidality construct, based on which a "risk for suicide" category system was derived. Chi-square and logistic regression analyses were then conducted to estimate the relationship between the background variables of interest and suicide risk. Results: Students who identified as lesbian, gay, or bisexual (LGB) were associated with higher suicide risk than their heterosexual peers. Students of color were slightly less at risk than their heterosexual peers. However, LGB students of color were associated with elevated suicide risk relative to heterosexual peers. Conclusion: Results indicate that belonging to multiple marginalized groups may increase one's risk for suicide, though these effects are not simply additive. Findings highlight the complexity of the intersection between marginalized identities and suicidality.


2006 ◽  
Author(s):  
Tracey L. Rocha ◽  
M. Dolores Cimini ◽  
Angelina X. Diaz-Myers ◽  
Matthew P. Martens ◽  
Estela M. Rivero ◽  
...  

2013 ◽  
Author(s):  
Shannon M. Sweeney ◽  
Peter A. Vanable ◽  
Robyn L. Fielder ◽  
Kate B. Carey ◽  
Michael P. Carey

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