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Laughbaum, Edward D. – MathAMATYC Educator, 2011
In Part Three, the author reviews the basic ideas presented in Parts One and Two while arguing why the traditional equation-solving developmental algebra curricula is not a good choice for implementing neural response strategies presented in the first two parts. He continues by showing that the developmental algebra student audience is simply…
Descriptors: Graduation Rate, Developmental Programs, Graphing Calculators, Long Term Memory
Reznichenko, Nataliya – Online Submission, 2007
Assumptions: In mathematics learning, one of the considerations in the graphing calculator (GC) use is to understand students' attitude toward calculators. Rationale: This presentation describes design of an assessment instrument of students' attitude toward graphing calculator. Objectives: A pilot study that assessed the effectiveness of the…
Descriptors: Teaching Methods, Measures (Individuals), Student Attitudes, Mathematics Instruction
Reznichenko, Nataliya – Online Submission, 2007
Assumptions: Today, when technology has taken its place in almost all classrooms in schools and colleges across the country, there is a need to know how technology "influences the mathematics that is taught and enhances students' learning" (NCTM, 2000, p. 24). Rationale: This presentation describes qualitative study which purpose was to…
Descriptors: Instructional Effectiveness, High School Graduates, Student Attitudes, Graphing Calculators