Persistence in Mathematics by Underrepresented Students: Experiences of a Math Excel Program

Success in mathematics by underrepresented and nontraditional college students is measured not only by academic performance (grades), but also by the continued participation and persistence of these students in mathematics coursework. The Math Excel program at Oregon State University attempts to build learning communities with a sharp academic focus in support of students concurrently taking introductory level mathematics courses. The Math Excel program is based heavily on Uri Treisman\u27s Emerging Scholars Workshop model of collaborative problem solving. In this article, we examine the experience of minority students in the Educational Opportunities Program participating in the Math Excel program. While the program had appeared successful in terms of improving academic performance in the concurrent mathematics course, the continued participation and persistence of these students in mathematics was disappointing. On a trial basis, structural changes were made to build a much stronger identification of the Math Excel learning community with a section of College Algebra. In the next term, there was a much higher incidence of participation in the subsequent Precalculus using the same Math Excel structure. While the collaborative problem solving activity provided in Math Excel was crucial to students\u27 successful academic performance, these results suggest that subtle issues related to students\u27 recognition of and identification with a learning community may be critically important to underrepresented and nontraditional students\u27 continued persistence in mathematics

RELATIONSHIP BETWEEN LEARNING MATHEMATICS AND THE ROLE OF TEACHERS IN LEARNING PROCESS OF LEARNING WITH MICROSOFT OFFICE EXCEL 2007 Prodi COMPUTER AND NETWORK ENGINEERING STUDENTS IN CLASS XI SMK Muhammadiyah 1 GREETINGS ACADEMIC YEAR 2012/2013

This study aimed to determine the relationship between the Math Learning Outcomes Learning Outcomes Microsoft Office Excel 2007, the relationship between the role of teacher in the Learning Outcomes Learning Microsoft Office Excel 2007, and the relationship between Learning Outcomes and the Role of Teachers in Mathematics Learning together with Learning Outcomes Microsoft Office Excel 2007 Prodi Computer Engineering and Networks Class XI student at SMK Muhammadiyah 1 Hail in Academic Year 2012/2013. This research is Ex-post facto quantitative approach. The subjects of this study were students of class XI Prodi Computer Engineering and Networks in SMK Muhammadiyah 1 Greetings. Data collection using questionnaires for variables Teacher Role in the Process of Learning and the documentation for the variable results of Learning Mathematics and Learning Outcomes Microsoft Office Excel 2007. Test the validity of the instrument using Product Moment Correlation formula and test the reliability of using the formula Croanbach's Alpha. Test requirements analysis includes normality test, linearity and multicollinearity test. The first and second hypothesis testing using Product Moment correlation, while for the third hypothesis testing using multiple correlation. The results showed that: (1) There is a positive and significant relationship with the Mathematics Learning Outcomes Learning Outcomes Microsoft Office Excel 2007. This was indicated by the correlation coefficient (rx1y) of 0.307, pvalue 0.010 <0.05, the coefficient determinant (r2x1y) of 0.094, 2.658 t count for more than ttabel by 2,000, (2) There is a positive and significant role of teachers in Learning Outcomes Learning with Microsoft Office Excel 2007. This was indicated by the correlation coefficient (rx2y) of 0.393, p-value 0.001 <0.05, the coefficient determinant (r2x2y) of 0.155, 3.527 t count for more than ttabel by 2,000, (3) There is a positive and significant relationship Mathematics Learning Outcomes and the Role of Teachers in the Process of Learning together with the Learning Microsoft Office Excel 2007. This was indicated by Fhitung 7.995 greater than 3.13 or a probability Ftabel 0.001. Coefficient determinant (R2y1, 2) of 0.193 means that 19.3% of the variance that occurs in the variable Result Learning Microsoft Office Excel 2007 is determined by the variance of outcome variables that occur in learning mathematics and the role of the teacher in the learning process

The Needs of the Stakeholders are the Seeds of Growth for the Organisation (Interview with Mr. G. Narayana)

A rare interview with a well-regarded leader of commerce in India is presented by the author, Dr. Shashank Shah. The interviewee, Mr. G. Narayana, is Chairman Emeritus of Excel Industries Ltd. (Excel). Mr. Narayana is noted for his ability to positively motivate people through kindness and the integration of spirituality in the workplace. His brand of leadership is characterized by a type of management philosophy that integrates the scientific principles of the West with the profound thought of Indian scriptures

Using Excel to Individualise Basic Mathematics Assignments

This paper sets out a method for creating and marking individualised mathematics assessments for students based on their ID numbers. It therefore provides a means for setting assessed coursework questions that give students the incentive to put in the practice needed to master mathematical techniques without the risk of collusion between students. A marking grid can then be constructed using only basic Excel skills. The method is explained here in the context of basic mathematical techniques applied to economics, but it can also be applied to other academic disciplines that involve numerical problems.

Introducing CGE Models to the Classroom Using EXCEL

This paper demonstrates how simple general equilibrium models can be solved with the help of Microsoft Excel. Two different general equilibrium models for tax incidence analysis are used as illustrative examples. The methods presented here are intended to be beneficial to both students and teachers working with general equilibrium theory in the classroom and can easily be extended to various policy analysis term projects. The techniques presented here are simple and effective tools for inclusion in any student’s toolkit.Excel, Solver, General Equilibrium, Optimization, Newton’s Method