Descriptor
Source
School Science and Mathematics | 5 |
Author
Alson, Pedro | 1 |
Easterday, Kenneth | 1 |
Hativa, Nira | 1 |
Markel, William D. | 1 |
Mathews, John H. | 1 |
Smith, Tommy | 1 |
Publication Type
Guides - Classroom - Teacher | 5 |
Journal Articles | 5 |
Computer Programs | 1 |
Opinion Papers | 1 |
Education Level
Audience
Practitioners | 5 |
Teachers | 4 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating

Markel, William D. – School Science and Mathematics, 1983
Two traditional presentations introducing the calculus of exponential functions are first presented. Then the suggested direct presentation using calculators is described. (MNS)
Descriptors: Calculators, Calculus, College Mathematics, Functions (Mathematics)

Alson, Pedro – School Science and Mathematics, 1992
Presents a qualitative and global method of graphing functions that involves transformations of the graph of a known function in the cartesian coordinate system referred to as graphic operators. Explains how the method has been taught to students and some comments about the results obtained. (MDH)
Descriptors: Analytic Geometry, Calculus, Functions (Mathematics), Geometry

Mathews, John H. – School Science and Mathematics, 1992
Describes how the computer algebra system Mathematica can be used to enhance the teaching of the topics of sequences and series. Examines its capabilities to find exact, approximate, and graphically generated approximate solutions to problems from these topics and to understand proofs about sequences. (MDH)
Descriptors: Calculus, Computer Assisted Instruction, Graphs, Mathematics Education

Hativa, Nira – School Science and Mathematics, 1985
A handbook for teachers of calculus and analytic geometry is described. Five categories of materials are included, with illustrative examples and a lesson plan. (MNS)
Descriptors: Analytic Geometry, Calculus, Geometry, Higher Education

Easterday, Kenneth; Smith, Tommy – School Science and Mathematics, 1992
Proposes an alternative means of approximating the value of complex integrals, the Monte Carlo procedure. Incorporating a discrete approach and probability, an approximation is obtained from the ratio of computer-generated points falling under the curve to the number of points generated in a predetermined rectangle. (MDH)
Descriptors: Calculus, Computer Assisted Instruction, Computer Uses in Education, Enrichment Activities