Secondary Students’ Attitudes Toward Learning Mathematics with Computer Algebra Systems (CAS)

Author(s):  
Tasos Barkatsas ◽  
Vasilis Gialamas ◽  
Claudia Orellana
2011 ◽  
Vol 104 (7) ◽  
pp. 514-519
Author(s):  
Teodora B. Cox ◽  
Stacy L. Singer

Technology daily impacts students' learning experiences. The increased use of calculators, computer algebra systems, and computer–based and Web–based assessments opens up new opportunities and challenges for teaching and learning mathematics. Students' lives are becoming busier, and they have less time to dedicate to homework outside the classroom. Also, many students admit that they do not enjoy completing homework assignments.


2015 ◽  
Vol 1 (3) ◽  
Author(s):  
Nurhayati Nurhayati

<p>The general objective of this research is to discover and analyze empirically the <br />effect of attitudes toward mathematics learning outcomes, learning habits influence on mathematics learning outcomes, influence attitudes and study habits together towards mathematics learning outcomes. The population covered in this study were junior high school grade students in District VIII Kramat Jati, East Jakarta. The research sample was obtained through random sampling method, the researchers mixed quota subjects in the population so that all subjects are considered equal. The research design used by the correlation technique with three variables consisting of two independent variables, <br />namely student attitudes and study habits as well as a dependent variable, is mathematics learning outcomes. Data collected by questionnaire technique (variable attitudes and habits students learn) and test techniques (variable learning outcomes). Collected data are then analyzed using correlation and simple regression techniques and correlation and multiple regression. Before the data were analyzed, first performed descriptive statistical analysis and test data requirements (test of normality, linearity test). The results showed that: (1) there is significant influence between students' attitudes and habits towards learning mathematics learning outcomes, with a correlation coefficient of <br />0.465 and coefficient of determination of 0.216 or 21.6% of student attitude and study habits jointly affect the results of learning mathematics. The resulting regression equation Y = 7932 + 0, 377 X1 + 0, 257 X2. This could mean that the better the attitude of the students then the better the better the result of learning and study habits, the higher the results of studying mathematics. <br /><br /></p>


2021 ◽  
Vol 2021 (6) ◽  
Author(s):  
Valery E. Lyubovitskij ◽  
Fabian Wunder ◽  
Alexey S. Zhevlakov

Abstract We discuss new ideas for consideration of loop diagrams and angular integrals in D-dimensions in QCD. In case of loop diagrams, we propose the covariant formalism of expansion of tensorial loop integrals into the orthogonal basis of linear combinations of external momenta. It gives a very simple representation for the final results and is more convenient for calculations on computer algebra systems. In case of angular integrals we demonstrate how to simplify the integration of differential cross sections over polar angles. Also we derive the recursion relations, which allow to reduce all occurring angular integrals to a short set of basic scalar integrals. All order ε-expansion is given for all angular integrals with up to two denominators based on the expansion of the basic integrals and using recursion relations. A geometric picture for partial fractioning is developed which provides a new rotational invariant algorithm to reduce the number of denominators.


2010 ◽  
Vol 17 (03) ◽  
pp. 389-414 ◽  
Author(s):  
Faryad Ali ◽  
Jamshid Moori

The Fischer group [Formula: see text] is the largest 3-transposition sporadic group of order 2510411418381323442585600 = 222.316.52.73.11.13.17.23.29. It is generated by a conjugacy class of 306936 transpositions. Wilson [15] completely determined all the maximal 3-local subgroups of Fi24. In the present paper, we determine the Fischer-Clifford matrices and hence compute the character table of the non-split extension 37· (O7(3):2), which is a maximal 3-local subgroup of the automorphism group Fi24 of index 125168046080 using the technique of Fischer-Clifford matrices. Most of the calculations are carried out using the computer algebra systems GAP and MAGMA.


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